KR101783092B1

KR101783092B1 - System for investing a decentralization of asset using a portfolio model, and portfolio model type asset apportionment system

Info

Publication number: KR101783092B1
Application number: KR1020150103837A
Authority: KR
Inventors: 정지송; 이종욱; 양은석
Original assignee: 미래에셋증권주식회사
Priority date: 2015-07-22
Filing date: 2015-07-22
Publication date: 2017-09-29
Also published as: KR20170012702A

Abstract

The present invention not only diagnoses past performance and future prospects, but also confirms the degree of diversification of customers by comparing the portfolio of the assets possessed by the customer with the model portfolio presented by the asset management server, And more particularly, to a method and system for asset allocation service using a model portfolio that allows diversified investment to be offered by suggesting an asset allocation plan that follows a model portfolio when the portfolio is less stable. The model portfolio type asset allocation system according to the embodiment of the present invention is characterized in that the model portfolio portfolio type asset allocation system according to the embodiment of the present invention selects a customer portfolio by inputting an analysis subject holding account from a customer terminal, presents a model portfolio to the customer terminal, A portfolio selection unit receiving a selection input; The customer portfolios are compared with the model portfolio to analyze customer performance, customer risk, investment efficiency, and performance on the degree of diversification, and the expected portfolio performance, expected risk, expected risk, investment efficiency, A portfolio analyzer for analyzing the model portfolio and comparing the portfolio portfolio with the model portfolio; An analysis result providing unit that provides the client terminal with the necessity of asset allocation according to a weighted reflection value that reflects a weight to each item; And an asset allocation unit for allocating an asset following the model portfolio according to the selection of the customer terminal.

Description

This paper proposes an asset allocation method and model portfolio asset allocation system using a model portfolio.

The present invention relates to an asset allocation service method and a model portfolio type asset management system using a model portfolio for diagnosing performance by comparing a customer portfolio of an asset held by a customer with a model portfolio provided by an asset management server Distribution system.

There are various types of financial institutions in Korea, and each financial institution sells a number of financial products. Thus, the owner of a financial asset hopes to deposit his or her financial assets in a financial product of a secure and profitable financial institution, but in fact it is virtually impossible to deposit his financial assets in search of an optimal financial instrument that meets his deposit requirements It is near impossible.

Therefore, most financial asset owners are required to deposit their financial assets in the financial instruments of financial institutions that are accustomed through other people 's recommendation or advertisements, or to visit financial institutions close to their residence and sell them And the interest rates of the financial products. Then, they select the financial products suitable for themselves and deposit their financial assets.

However, in the case of selecting a financial product through recommendation or advertisement of others as described above, the financial product may not be suitable for its deposit condition. In addition, even if a financial asset owner visits a financial institution and selects a financial product, there is a problem in that it is impossible to directly visit all the financial institutions, so that it is not possible to select an optimal financial product that meets the conditions of his deposit.

However, most of the investment trusts and investment counseling agencies need to make such analysis and determination of the current investment state based on the rough experience and general sense. , It is not possible for the customer to objectively compare the market situation with his / her performance. Therefore, the persuasiveness of the portfolio composition presented as a means of solving the problem was weak.

In addition, among indirect investment products, indirect investment products were classified into equity, bond type, freestyle, etc., so that customers could select investment assets.

However, these products have had a problem in that all responsibilities depend on the rough experience of customers or investment consultants, because there is no systematic system for analyzing the status of investment products or customers and constructing a scientific portfolio.

Korean Patent Registration No. 0997518 (registered on November 24, 2010)

It is an object of the present invention to solve the above-mentioned problems, and it is an object of the present invention to diagnose past performance and future prospects by comparing a portfolio of assets owned by a customer with a model portfolio presented by an asset management server, And provides an asset allocation method using a model portfolio and a model portfolio type asset allocation system that allows diversified investment to be made by presenting an asset allocation plan that follows the model portfolio when the diagnosis result is less than the model portfolio. .

In order to achieve the above object, a model portfolio type asset allocation system according to an embodiment of the present invention includes: a customer portfolio management system for selecting a customer portfolio by inputting an analysis target holding account from a customer terminal and presenting a model portfolio to the customer terminal, A portfolio selection unit for receiving a selection of one of a wake and a stable type; The customer portfolios are compared with the model portfolio to analyze the past performance on the customer profitability, customer risk, investment efficiency and diversification investment, and the customer portfolio is classified into the items of expected return, expected risk, investment efficiency, A portfolio analyzer for analyzing the outlook for future and comparing with the model portfolio; The analysis result providing unit provides the customer terminal with the result of comparing and analyzing the customer portfolio and the model portfolio according to the weighted reflection value reflecting the weight of each item and the necessity of asset allocation based on the result of the comparative analysis, ; And an asset allocation unit for allocating an asset in accordance with a selection of the customer terminal according to the selection of the customer terminal, wherein the result of the comparative analysis is a sum of the expected return, the expected risk, the investment efficiency, Wherein each of the items is provided as a result of calculating respective scores according to whether the customer portfolio is higher or lower based on the model portfolio and whether or not the asset allocation is required is determined by weighting the respective scores And is determined based on the reflection value.

Also, the asset allocation unit manages the customer portfolio by rebalancing the customer portfolio by analyzing the performance of the asset allocation at predetermined intervals after allocating the assets following the model portfolio.

Also, the portfolio analyzer calculates a one-year return (R _{i, t} ) of the selected holding account combination according to the following equation with respect to the customer return rate.

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Here, x _{i, t} denotes a total net assets of the account, y _{i, t} denotes pick deposit, z _{i, t} denotes pick withdrawal, n _t denotes a customer's holding account t one net worth, R _t is retention selection represents the customer t il il return on account combination, P _{i, t} denotes a standard moving creation for selecting holding account combination, Ri, t denotes a one-year return of the selection holding account combination, i is the identification number of the holding account , N represents the number of holding accounts, and t represents a time point.

Also, the portfolio analyzer calculates the standard deviation (S) and the annualized volatility () according to daily volatility according to the following equation for the customer risk.

Where i represents the identification number of the holding account, n represents the number of holding accounts, r _{i, t} represents the daily yield of the i-th bank account combination at day t,

Represents the arithmetic mean of the customer account returns, S represents the day standard deviation as the daily volatility,

Represents the annualized volatility.

Further, the portfolio analyzer calculates the investment efficiency as a sharp ratio according to the following equation.

Here, R represents the annual return of the customer, r _free represents the risk-free interest rate (performance)

Represents the annualized volatility.

Also, the portfolio analyzer calculates the expected return by multiplying the investment weight (W) of each customer asset group by the expected return (R) for each asset group according to the following equation.

delete

W1 is the share of domestic equity investment, w2 is the share of US equity investment, w3 is the share of European equity investment, w4 is the share of Japanese equity investment, w5 is share of Chinese equity investment, w6 is share of emerging market equity investment, W10 is the ratio of investment in emerging economies, w10 is the portion of high-end bonds, w11 is the proportion of raw material investments, w12 is the proportion of real estate investments, w13 is the proportion of short-term funds invested, R2 is expected return on US stocks, r3 is expected return on European stocks, r4 is expected return on Japanese stocks, r5 is expected return on Chinese stocks, r6 is expected return on emerging markets, r7 is expected return on domestic bonds, , r9 is expected return on emerging market bonds, r10 is expected return on high yield, r11 is expected return on raw material, r12 is expected return on real estate, and r13 is expected return on short term fund.

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Here, R represents the expected annual return rate of the customer, r _free represents the risk free interest rate (forecast)

Represents expected risk.

In addition, the analysis result provider calculates the weighted reflection value by reflecting the weight of each item in the ratio of the expected return 10%, the expected risk 10%, the investment efficiency 20%, and the dispersion investment effect 60%.

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In addition, the analysis result providing unit may be configured to provide a good, a good, a medium, a bad, a very bad convenience for the items according to the expected return, the expected risk, the investment efficiency, It is divided into 5 steps, and it is calculated by the score of 5 points, 4 points, 3 points, 2 points and 1 point.

In addition, the analysis result providing unit is in a state in which the asset allocation is required when the weighted reflection value is less than 2, and the asset allocation is considered when the weighted reflection value is less than 4 and less than 2. When the asset allocation is 4 or more, To the customer terminal.

In addition, the analysis result provider calculates a score by dividing the distributed investment effect by the bias, the investment weight, the number, and the dispersion effect, and adds the weight to the calculated score by 20%, 20% %, And the weighted score is calculated.

In addition, the model portfolio is divided into product categories and valuation amounts, domestic stocks, advanced stocks, emerging stocks, domestic bonds, advanced / emerging markets / high-yield bonds, real assets, short-term assets and other assets Is set.

In addition, the asset allocation unit provides a rebalancing portfolio in which the assets are allocated according to the model portfolio, to the customer terminal.

In addition, the asset allocation unit may present a portion of selling or buying recommendation to the customer portfolio, and may provide short-term funds, real assets, domestic bonds, advanced country bonds, emerging / high yield bonds, domestic stocks, And portfolio trading services that can change the proportion of stocks in developed countries.

The mandatory input field may include an item of an asset group, a main region, a main sector, a bond region, a bond sector, a bond currency, and a main style, The selection input field includes items of taxation method, distribution method, and benchmark.

The model portfolio also includes equity and stock mix, bond mix, bonds, raw materials, real estate, short-term funds, alternative investments, and insurance assets for the asset class.

In addition, the model portfolio can be classified into global dispersion, developed country dispersion, emerging country dispersion, North America, Europe, Oceania, Asia Pacific, Latin America, emerging Europe, Middle East Africa and individual countries for the investment area and the bond area.

In addition, the model portfolio can be applied to various sectors such as energy, materials, industrials, consumer durables, essential consumer goods, health care, finance, IT, telecom, utility, broad consumer, optical infrastructure, precious metals, Residential, strategic investment products, multi-asset products, structured derivatives, private investment products, and other alternative investments.

In addition, the model portfolio can be applied to various sectors such as energy, materials, industrial materials, consumer sensitive consumer goods, essential consumer goods, health care, finance, IT, telecom, utility, broad consumer, optical infrastructure, Corporate bonds, investment grade corporate bonds, high-end corporate bonds, and other bonds.

Also, the model portfolio can be classified into three categories: major stocks, small and medium-sized stocks, dividend stocks, indexes (ETFs), leverage, unlisted stocks, short-term stocks, long-term stocks, raw material stocks, commodity futures, It can be classified into real estate, CD, MMF, MMW, RP, deposit, multi-strategy, long-short strategy, market neutral strategy, inverse strategy, protection insurance, savings insurance,

In the case of global dispersion, the model portfolio is matched by 0.1, 0.4, 0.24, 0.16, 0.06, and 0.14 in the case of global dispersion, . In the case of dispersed emerging economies, it can be dispersed to 0.3 in China and 0.7 in emerging economies.

For the asset group matching, the model portfolio is dispersed as 0.5, 0.3, and 0.2 in the case of Oceania dispersion. In case of Asia Pacific dispersion, 0.3 is dispersed and 0.3 is matched for China and emerging countries. Hong Kong, New Zealand, Singapore, and Canada can be matched to 0.5 in the US, 0.3 in Europe, and 0.2 in Japan.

According to another aspect of the present invention, there is provided an asset allocation service method using a model portfolio, comprising: (a) setting a customer portfolio by selecting an account to be analyzed by a customer terminal; (b) selecting and inputting one of a high profit, a heavy profit, and a stable type by presenting a model portfolio to the customer terminal; (c) comparing the customer portfolio with the model portfolio to analyze customer returns, customer risk, investment efficiency, and performance for diversification; (d) analyzing the prospect by comparing the model portfolio with the expected return, expected risk, investment efficiency, and degree of diversification for the customer portfolio; (e) providing the customer terminal with a result of comparing and analyzing the customer portfolio and the model portfolio according to a weight reflection value that reflects the weight of each item, and whether the asset allocation is required based on the result of the comparative analysis ; And (f) allocating the assets following the model portfolio according to the selection of the customer terminal, wherein the result of the comparative analysis is a sum of the expected return, the expected risk, the investment efficiency, And the customer portfolio is provided as a result of calculating each score according to whether the customer portfolio is higher or lower based on the model portfolio, and whether or not the asset allocation is required is weighted to each of the scores And is determined based on the calculated weighted reflection value.

(G) managing the customer portfolio by inducing rebalancing of the customer portfolio through performance analysis of the asset allocation in a predetermined period after allocating the assets following the model portfolio.

In the step (e), the weighted value is calculated by reflecting the weighted value at a ratio of expected profit of 10%, expected risk of 10%, investment efficiency of 20% and dispersion investment of 60%.

In addition, the analysis of the outlook at step (d) may be performed on the items of the expected return, the expected risk, the investment efficiency, and the degree of the diversified investment in a very good, a good, a medium, a bad, It is divided into 5 steps, and it is calculated by the score of 5 points, 4 points, 3 points, 2 points and 1 point.

The step (e) is a state in which the asset allocation is required when the weighted reflection value is less than 2 points, and the asset allocation is considered when the weighted reflection value is less than 2 points and less than 4 points. And provides the client terminal with information on whether or not the client terminal is well distributed.

According to the present invention, it is possible to evaluate the degree of asset allocation compared to the model portfolio with respect to the asset possessed by the customer, and the asset can be readjusted by allocating the customer's asset following the model portfolio.

In addition, you can select the optimal financial instrument that meets your own deposit requirements, and you can generate revenues by rebalancing your assets according to your model portfolio through buying or selling.

FIG. 1 is a block diagram schematically illustrating the overall configuration of a model portfolio type asset allocation system according to an embodiment of the present invention. Referring to FIG.
FIG. 2 illustrates an exemplary configuration of a model portfolio type asset allocation system corresponding to an asset management server according to an exemplary embodiment of the present invention. Referring to FIG.
3 is a flowchart illustrating an asset allocation service method using a model portfolio according to an exemplary embodiment of the present invention.
FIG. 4 is a view showing an example of a model portfolio receiving a selection input by presenting to a customer according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating an example of analyzing performance according to profit / risk by comparing a customer portfolio according to an embodiment of the present invention with a model portfolio.
FIG. 6 is a diagram illustrating an example of analyzing performance according to investment efficiency by comparing a customer portfolio according to an embodiment of the present invention with a model portfolio.
FIG. 7 is a diagram illustrating an example of analyzing performance according to degree of diversification by comparing a customer portfolio according to an embodiment of the present invention with a model portfolio.
FIG. 8 is a view showing an example in which a result of analyzing a customer portfolio and a model portfolio according to an embodiment of the present invention is provided as comments according to each item.
9 is a diagram illustrating an example of calculating a weighted reflection value by reflecting a weight on a comparison result between a customer portfolio and a model portfolio according to an exemplary embodiment of the present invention.
FIG. 10 is a diagram illustrating an example of calculating scores by dividing the degree of diversification of investment in the performance analysis according to the embodiment of the present invention by the bias, the investment proportion, the number, and the dispersion effect.
FIG. 11 is a diagram showing the proportion of asset group, model ratio, and adjustment ratio by product of the entire product portfolio of a customer portfolio and a model portfolio according to an exemplary embodiment of the present invention.
FIG. 12 is a graph illustrating an example of a comparative analysis of a customer portfolio and a model portfolio according to an exemplary embodiment of the present invention with an expected return rate and an investment risk.
FIG. 13 is a diagram illustrating an example of providing a result of a comprehensive analysis on a result of a comparative analysis of a customer portfolio and a model portfolio according to an embodiment of the present invention.
FIG. 14 is a diagram illustrating an example of adding or selling a sell or buy target product in order to rebalance a customer portfolio according to an embodiment of the present invention.
15 is a diagram illustrating an example of a rebalancing customer portfolio in which an asset is allocated to a customer portfolio according to an exemplary embodiment of the present invention following a model portfolio.
FIG. 16 is a view showing an example in which a result of comparing and analyzing a customer portfolio according to an embodiment of the present invention with a model portfolio is divided into five steps for each item.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art to which the present invention pertains. The present invention may be embodied in many different forms and is not limited to the embodiments described herein.

In order to clearly illustrate the present invention, parts not related to the description are omitted, and the same or similar components are denoted by the same reference numerals throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

If any part is referred to as being "on" another part, it may be directly on the other part or may be accompanied by another part therebetween. In contrast, when a section is referred to as being "directly above" another section, no other section is involved.

The terms first, second and third, etc. are used to describe various portions, components, regions, layers and / or sections, but are not limited thereto. These terms are only used to distinguish any moiety, element, region, layer or section from another moiety, moiety, region, layer or section. Thus, a first portion, component, region, layer or section described below may be referred to as a second portion, component, region, layer or section without departing from the scope of the present invention.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms as used herein include plural forms as long as the phrases do not expressly express the opposite meaning thereto. Means that a particular feature, region, integer, step, operation, element and / or component is specified and that the presence or absence of other features, regions, integers, steps, operations, elements, and / It does not exclude addition.

Terms indicating relative space such as "below "," above ", and the like may be used to more easily describe the relationship to other portions of a portion shown in the figures. These terms are intended to include other meanings or acts of the apparatus in use, as well as intended meanings in the drawings. For example, when inverting a device in the figures, certain parts that are described as being "below" other parts are described as being "above " other parts. Thus, an exemplary term "below" includes both up and down directions. The device can be rotated by 90 degrees or rotated at different angles, and terms indicating relative space are interpreted accordingly.

Unless otherwise defined, all terms including technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Commonly used predefined terms are further interpreted as having a meaning consistent with the relevant technical literature and the present disclosure, and are not to be construed as ideal or very formal meanings unless defined otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

FIG. 1 is a block diagram schematically illustrating the overall configuration of a model portfolio type asset allocation system according to an embodiment of the present invention. Referring to FIG.

Referring to FIG. 1, a model portfolio type asset allocation system 100 according to an embodiment of the present invention includes a plurality of customer terminals 110 to 114 and an asset management server 120.

The customer terminals 110 to 114 access the asset management server 120 through a network and use a model portfolio type asset allocation service. The customer terminals 110 to 114 select or input a hold account held by a customer to select a customer portfolio, If the asset allocation is required according to the analysis result, the model portfolio is requested to be distributed following the model portfolio, and the result is distributed to the asset portfolio.

The customer terminals 110 to 114 are smart terminals that perform wire communication or wireless communication with the asset management server 120. [ The customer terminals 110-114 may also be referred to as subscriber units, subscriber stations, mobile stations, mobile, remote stations, remote terminals, mobile devices, user terminals, wireless communication devices, user agents, user devices or user equipment . The customer terminal 110-114 may be a cellular phone, a wireless telephone, a Session Initiation Protocol (SIP) telephone, a wireless local loop (WLL) station, a personal digital assistant (PDA), a handheld device with wireless connectivity, It may be another processing device connected to the wireless modem. However, the customer terminals 110 to 114 should not be limited to these terms. The customer terminals 110 to 114 may be understood as all devices including a local communication module as an active device for wireless local area communication with the asset management server 120. [

Here, the network includes a wired communication network such as the Internet or a public switched telephone network (PSTN), or a wireless communication network such as a mobile communication network or a local area network.

The asset management server 120 is a device operated by a financial institution or an investment institution, and is a server device to which a model portfolio type asset allocation service is applied. Therefore, the asset management server 120 may be referred to as a 'model portfolio type asset allocation system (device)' and may also be referred to as an 'asset allocation device (system) using a model portfolio'.

The asset management server 120 is a server device that executes an asset allocation service method using a model portfolio. The asset management server 120 receives an account or a customer portfolio from the customer terminals 110 to 114 and compares the selected customer portfolio with a model portfolio And provides the analysis results to the customer terminals 110 to 114.

In addition, when the asset management server 120 compares the customer portfolio with the model portfolio, if the asset allocation is required, the asset management server 120 allocates the assets according to the selection of the customer terminals 110 to 114, And provided to the terminals 110 to 114.

FIG. 2 illustrates an exemplary configuration of a model portfolio type asset allocation system corresponding to an asset management server according to an exemplary embodiment of the present invention. Referring to FIG.

2, a model portfolio type asset allocation system 120 according to an embodiment of the present invention includes a portfolio selection unit 210, a portfolio analysis unit 220, an analysis result providing unit 230, an asset allocation unit 240).

The portfolio selection unit 210 receives the analysis target holding account from the customer terminals 110 to 114 and selects a customer portfolio and presents the model portfolio to the customer terminals 110 to 114 to obtain one of the high profit, Select the type to receive input.

The portfolio analysis unit 220 analyzes the past performance of the customer risk, the customer risk, the investment efficiency and the diversified investment by comparing the customer portfolio with the model portfolio. The portfolio analysis unit 220 compares the customer portfolio with the model portfolio, Investment efficiency, and diversification of investment.

Also, the portfolio analyzer 220 calculates a one-year return (R _{i, t} ) of the selected holding account combination with respect to the customer return rate.

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In addition, the portfolio analyzing unit 220 calculates a standard deviation S and an annualized volatility based on daily volatility according to the following equation (2)

).

Represents the annualized volatility.

Also, the portfolio analyzer 220 calculates the investment efficiency as a sharp ratio according to Equation (3) below.

Represents the annualized volatility.

In addition, the portfolio analyzer 220 calculates the expected return by multiplying the expected investment yield (R) by the asset group (W) by the customer asset group according to the following Equation (4).

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In addition, the portfolio analyzing unit 220 calculates an expected investment risk weight (W) and an inter-asset variance covariance

).

Also, the portfolio analyzer 220 calculates the investment efficiency as a sharp ratio according to Equation (6) below.

Represents expected risk.

In addition, the portfolio analyzing unit 220 calculates a value obtained by subtracting the expected risk from the total risk sum of the individual asset group by the total risk sum of the individual asset group, according to Equation (7) below.

here,

1,1 represents the risk of domestic stock expectations,

2,2 is the expected risk of US stocks,

3, the European stock expectations risk,

4, 4 is the expected risk of Japanese stocks,

5,5 is the expected risk of Chinese stocks,

6, 6 are emerging stock expectations risk,

However,

9, 9 are expected risk of emerging market bonds,

10, 10 are high-yield bonds,

However,

13 and 13 represent short-term fund expected risks.

As a result of the analysis, the provider 230 provides the customer terminal 110 with the necessity of asset allocation according to the weighted reflection value that reflects the weight to each item.

Also, as a result of the analysis, the provider 230 reflects the weight for each item at a ratio of the expected return 10%, the expected risk 10%, the investment efficiency 20%, and the dispersion investment 60% to calculate the weighted reflected value .

In addition, the analysis unit 230 determines that the items for the analysis based on the expected return, the expected risk, the investment efficiency, and the degree of diversification of investment are very good, good, medium, bad, It is divided into 5 steps of convenience, and it is calculated by 5 points, 4 points, 3 points, 2 points, 1 point.

In addition, when the weighted reflected value is less than 2 points, the asset allocation is required. When the weighted reflected value is less than 4 points, the asset allocation is considered. And provides the customer terminal 110 with the distribution of the good state.

In addition, as a result of the analysis, the supplier 230 calculates the score by dividing the investment amount, the investment weight, the number, and the dispersion effect on the degree of the diversification investment, and assigns the weight to the calculated score 20% The effect is reflected as 60%, and the weighted score is calculated.

The asset allocation unit 240 follows the model portfolio according to the selection of the customer terminals 110 to 114 to allocate the assets.

In addition, the asset allocation unit 240 provides the rebalancing portfolio in which the assets are allocated according to the model portfolio to the customer terminals 110 to 114.

In addition, the asset allocation unit 240 can manage the customer portfolio by rebalancing the customer portfolio by analyzing the performance of the asset allocation in a predetermined period after allocating the assets following the model portfolio.

In addition, the asset allocation unit 240 may present a sales or purchase recommendation weight for the customer portfolio and may select short-term funds, real assets, domestic bonds, advanced country bonds, emerging / high-yield bonds, Portfolio trading services that can change the weight of domestic stocks, emerging stocks, and advanced stocks will be implemented.

Here, the model portfolio is divided into product categories and valuation amounts, domestic stocks, advanced stocks, emerging stocks, domestic bonds, advanced / emerging markets / high-yield bonds, real assets, short-term assets and other assets .

The model portfolio is composed of a mandatory input field and a selection input field. The mandatory input field includes items of an asset group, a main region, a main sector, a bond region, a bond sector, a bond currency, Includes taxation, distribution, and benchmark items.

In addition, the model portfolio is divided into global dispersion, developed country dispersion, emerging country dispersion, North America, Europe, Oceania, Asia Pacific, Latin America, emerging Europe, Middle East Africa and individual countries for investment and bond areas.

In addition, the model portfolio is based on the investment sector, including energy, materials, industrials, consumer durables, consumer staples, healthcare, finance, IT, telecom, utility, broad consumer, optical infrastructure, precious metals, metal minerals, agricultural products, , Strategic investment products, multi-asset products, structured derivatives, private investment products, and other alternative investments.

In addition, the model portfolio is composed of three components: energy, materials, industrials, consumer sensitive consumer goods, consumer goods, healthcare, finance, IT, telecom, utility, broad consumer, broadband infrastructure, government bonds, , Investment grade corporate bonds, high-yield corporate bonds, and other bonds.

In addition, the model portfolio is composed of large-cap, small-cap stock, dividend stock, value stock, index (ETF), leverage, unlisted, short-term, mid-term, long-term, commodity spot, commodity futures, individual commodities, , CD, MMF, MMW, RP, deposits, multi-strategy, long-short strategy, market neutral strategy, inverse strategy, protection insurance, savings insurance, credit grant products and other operations and services.

In the case of global dispersion, the model portfolio is matched by 0.4, 0.24 for Japan, 0.16 for Japan, 0.06 for China and 0.14 for emerging countries. In the case of dispersion of emerging economies, it is dispersed to 0.3 in China and 0.7 in emerging economies.

Also, for the asset group matching, the model portfolio is dispersed to 0.5, 0.3, and 0.2 in the case of Oceania dispersion. In case of Asia Pacific dispersion, 0.3 is dispersed and 0.3 is matched for China and emerging countries. , New Zealand, Singapore, and Canada, it will be 0.5, 0.3, and 0.2 in the United States.

The model portfolio matches asset groups with asset classes matching the US, Europe, Japan, China, and emerging countries. LV2 investment regions are Austria, Belgium, Denmark, Finland, France, Germany, Ireland , Israel, Italy, Netherlands, Norway, Portugal, Spain, Switzerland, and the United Kingdom all match Europe with 100%. In the United States, the United States is 100% In China, 100% of China and 100% of all other countries will match each other.

3 is a flowchart illustrating an asset allocation service method using a model portfolio according to an exemplary embodiment of the present invention.

First, when the customer terminal 110 accesses the asset management server 120 through the network, the asset management server 120 provides a screen about the asset allocation service do.

Accordingly, the customer terminal 110 can select all the accounts held by the customer according to the customer's selection operation, or select some of them to request the asset allocation service.

Referring to FIG. 3, in the model portfolio type asset allocation system according to the present invention, the asset management server 120 receives an analysis target from the customer terminal 110 through the portfolio selection unit 210 according to the customer selection operation, And selects a customer account or sets a customer portfolio (S310).

That is, the asset management server 120 according to the present invention analyzes the past performance based on the current asset composition, integrates the customer's account, , The expected efficiency, and the degree of diversified investment, the customer's portfolio is set by inputting the account held by the customer.

Then, the asset management server 120 presents a model portfolio to the customer terminal as shown in FIG. 4, and selects one of the high profit, the heavy profit, and the stable type (S320). FIG. 4 is a view showing an example of a model portfolio receiving a selection input by presenting to a customer according to an embodiment of the present invention. As shown in FIG. 4, the model portfolio is composed of product names and valuation amounts, domestic stocks, advanced stocks, emerging stocks, domestic bonds, advanced / emerging markets / high yields, real assets, short-term assets and other assets And the respective weights thereof are respectively set. For example, the customer terminal 110 can select a middle-income model portfolio according to a customer's selection.

Then, the asset management server 120 analyzes the customer performance, the customer risk, the investment efficiency, and the past performance of the distributed investment by comparing the customer portfolio with the model portfolio (S330).

That is, the asset management server 120 compares the customer portfolio with the model portfolio (MP) to compare the profit / risk analysis as shown in FIG. 5, the investment efficiency diagnosis as shown in FIG. 6, The degree of diversification investment as shown in FIG. 7, and the like.

FIG. 5 is a diagram illustrating an example of analysis of past performance according to profit / risk of a customer portfolio and a model portfolio according to an embodiment of the present invention. The customer profit is calculated as the customer's return (r _t ) according to Equation (1), and is calculated as the variable rate of return according to the i-th account combination as the customer's one-year return on the selected holding account combination. The customer risk is defined as one standard deviation (S) and annualized volatility

). In FIG. 5, when comparing the profit / risk information of the customer portfolio with the model portfolio, the customer portfolio is 5.99%, while the model portfolio is 6.33%. In case of the risk level, the investment risk of the customer portfolio is 7.80% The investment risk of the portfolio is 5.14%. Therefore, it can be seen that the investment risk for the customer portfolio is higher than the model portfolio corresponding to the safety standard, which is dangerous.

FIG. 6 is a diagram illustrating an example of analysis of past performance according to investment efficiency of a customer portfolio and a model portfolio according to an embodiment of the present invention. The portfolio analyzer 220 calculates the investment efficiency with a sharp ratio according to Equation (3). In FIG. 6, when the model portfolio selected by the customer is a heavy-demanding type, the Sharp index for investment efficiency is 0.42 for the customer portfolio and 0.71 for the model portfolio, indicating that the customer portfolio has a lower Sharp index than the model portfolio . It is also shown in the graph of the efficiency measurement index, and is also shown as a graph comparing the asset composition of the customer portfolio and the model portfolio.

FIG. 7 is a diagram illustrating an example of an analysis of the degree of diversification of investment for a customer portfolio and a model portfolio according to an embodiment of the present invention. In FIG. 7, the degree of diversified investment in the customer portfolio is shown in the table and the graph as compared with the model portfolio, the diversity of the portfolio constitution asset, the concentration of the asset group (more than 30%) and the diversification investment effect.

Then, the asset management server 120 analyzes (future) prospects of the customer portfolio by comparing the model portfolio with the expected return, expected risk, investment efficiency, and degree of diversification (S340).

That is, the asset management server 120 compares the customer portfolio with the model portfolio through the portfolio analyzing unit 220 to calculate the expected return, the expected risk, the investment efficiency, and the degree of diversified investment, for example, Analyze the prospect.

Here, the portfolio analyzing unit 220 calculates the expected return on investment by multiplying the investment weight (W) per customer asset group by the expected return (R) for each asset group according to Equation (4).

In addition, the portfolio analyzing unit 220 calculates the expected investment risk weight (W) and the covariance between asset classes

).

Also, the portfolio analyzer 220 calculates the investment efficiency with a sharp ratio according to Equation (6).

Also, the portfolio analyzing unit 220 calculates a value obtained by subtracting the expected risk from the total risk sum of the individual asset group by the total risk sum of the individual asset group according to Equation (7) for the distributed investment effect.

Accordingly, the portfolio analyzing unit 220 analyzes the customer portfolio as an item of expected return, expected risk, investment efficiency, and diversified investment by comparing the customer portfolio with the model portfolio. As shown in FIG. 8, And the result is calculated. FIG. 8 is a view showing an example in which a result of analyzing a customer portfolio and a model portfolio according to an embodiment of the present invention is provided as comments according to each item. 8, the asset management server 120 divides the customer portfolio into one or more months of operation and a customer portfolio that has operated for less than one month, and provides comments on the results of the comprehensive analysis, comments on profit / risk, And comments on the degree of diversification.

Then, the asset management server 120 provides the customer terminal with the necessity of allocating the asset according to the weighted reflection value that reflects the weight to each item (S350).

At this time, as shown in FIG. 9, the provider 230 reflects the weighted value at a ratio of expected profit of 10%, expected risk of 10%, investment efficiency of 20%, and dispersion investment of 60%, as shown in FIG. 9, .

9, the items of the expected profit, the expected risk, the investment efficiency, and the degree of diversified investment are classified into a very good, a good, a normal, a bad, a very bad convenience It can be divided into 5 levels and provided with 5 points, 4 points, 3 points, 2 points and 1 point for each. FIG. 9 is a diagram illustrating an example of calculating a weighted reflection value by reflecting a weight on each item of a customer portfolio and a model portfolio according to an exemplary embodiment of the present invention.

Here, as shown in FIG. 10, the asset management server 120 calculates a score by dividing the degree of diversification into two groups, namely, bias, investment weight, number, and dispersion effects, and assigns weight to the calculated score, , The number 20%, and the dispersion effect 60%. FIG. 10 is a diagram showing an example of calculating scores by dividing the degree of diversification of the perspective analysis according to the embodiment of the present invention by the bias, investment weight, number, and dispersion effect. In FIG. 10, the degree of diversification investment is very poor when less than 2 points, and between 2 points and 3 points is worse, and between 3 points and 4 points is usually, between 4 points and 5 points is better, It can be classified as good. The asset management server 120 calculates a weighted score of 1 based on a 20% weighted value when the bias is 5, the number is 5, and the dispersion effect is 2, and a 20% weighted value , And the weighted score is calculated by applying the 60% weighted value to the variance effect. The final score is 3.2.

Also, as shown in FIG. 11, the asset management server 120 can compare the asset group of the customer portfolio with the model portfolio for each investment product, and provide the adjustment weight on how much to adjust based on the model portfolio. FIG. 11 is a diagram showing the proportion of asset group, model ratio, and adjustment ratio by product of the entire product portfolio of a customer portfolio and a model portfolio according to an exemplary embodiment of the present invention. In Fig. 11, which shows the proportion of asset classes, the share of domestic stocks is 90.98%, which is much higher than the model portfolio 6.00%, indicating that the percentage of adjustments should be reduced by 84.98%. Also, in FIG. 11, it is 0% in the case of developed country stocks, 32% in the case of model 32.00%, and 0% in emerging markets. In FIG. 11, domestic bonds should increase by 13.91% based on the model portion of 14.00%, and the emerging market / high yield bonds should increase by 36% from the model portion of 36.00% , Which means that the model ratio should be reduced by 0.04% from 0%, and short-term funds should be 8.89%, which should be reduced by 8.89% based on 0% model.

12, the asset management server 120 can provide expected return and investment risk by comparing and analyzing the customer portfolio and the model portfolio. 12 is a view showing an example of analyzing a prospect according to an expected return rate and an investment risk by comparing a customer portfolio according to an embodiment of the present invention with a model portfolio. In FIG. 12, when the customer selects the heavy-demanding model portfolio, the expected return of the customer portfolio is 5.88% and the investment risk is 9.87%, which is lower than the expected return of the model portfolio of 6.08% and the investment risk is higher than 5.5% .

13, the asset management server 120 transmits a prospective analysis result as to whether the asset allocation is necessary, the asset allocation should be considered, and whether the asset allocation is good, as shown in FIG. 13, ).

That is, the asset management server 120 needs to allocate the asset when the weighted reflection value is less than 2, and the asset allocation must be considered when the value is less than 4 and less than 2. If the asset allocation is 4 or more, And provides the result of the analysis to the customer terminal. 13 is a diagram illustrating an example of providing a result of analyzing a perspective by comparing a customer portfolio and a model portfolio according to an embodiment of the present invention. As shown in FIG. 13, in the case of the expected return, the customer portfolio is 5.88%, the model portfolio is 6.08%, the customer portfolio is 9.87%, and the model portfolio is 5.5% And the model portfolio has a low level of 0.79. In case of diversified investment, the number of assets is 4, the average asset is 1, The diversified investment effect is low and is presented as a 'very bad' condition.

Therefore, when the customer chooses the model portfolio as 'heavy-paying', the expected return is high, the expected risk is very high, investment efficiency is low, and the degree of diversification is high The results of the comprehensive analysis suggest that asset allocation is very necessary.

Accordingly, the customer terminal 110 requests asset allocation following the model portfolio through the 'Portfolio Sale' menu on the screen shown in FIG. 13 according to the customer's selection that the asset allocation is highly required.

Subsequently, the asset management server 120 follows the model portfolio according to the selection of the customer terminal 110 and allocates the assets (S360).

14, the asset management server 120 presents a portion of selling or buying recommendation for a customer portfolio and selects short-term funds, real assets, domestic bonds, advanced country bonds, emerging countries / Portfolio trading services that can change the proportion of high-yield bonds, domestic stocks, emerging stocks, and advanced stocks. FIG. 14 is a diagram illustrating an example of adding or selling a sell or buy target product in order to rebalance a customer portfolio according to an embodiment of the present invention. In FIG. 14, the customer terminal 110 has a ratio of recommendation of 0% for real assets, 2.55% for domestic bonds, 6.55% for emerging and high-yield bonds, 1.09% for domestic stocks, 2.18% for emerging stocks and 5.83% .

Accordingly, the asset management server 120 provides the rebalancing portfolio in which the asset is distributed following the model portfolio as shown in FIG. 15 to the customer terminal 110. 15 is a diagram illustrating an example of a rebalancing customer portfolio in which an asset is allocated to a customer portfolio according to an exemplary embodiment of the present invention following a model portfolio.

As shown in FIG. 15, the asset management server 120 first selects a portfolio trading account in order to allocate the assets following the model portfolio to the customer portfolio (STEP 01), and then finalizes the trading target amount (STEP 02). When the asset management server 120 determines the amount of the portfolio, it provides the total amount of the portfolio, the portfolio sale amount, the cash purchase amount, the cash purchase amount, the amount of the held goods, and the estimated amount of selling the goods.

Meanwhile, after the asset management server 120 follows the model portfolio and allocates the assets, the asset management server 120 analyzes the performance of asset allocation for a predetermined period (1 day, 1 month, 3 months, 6 months, 1 year, Balancing of the portfolio to manage the customer portfolio (S370).

At this time, the asset management server 120 compares the result of comparing and analyzing the customer portfolio with the model portfolio (MP) as shown in FIG. 16, when the model portfolio MP is positive (+) and negative -), and can be divided into very poor, poor, normal, excellent, and excellent levels. FIG. 16 is a view showing an example in which a result of analyzing a customer portfolio according to an embodiment of the present invention is compared with a model portfolio, and the results are classified into five levels for each item. In FIG. 16, the asset management server 120 provides five levels of risk, risk, normal, good, and very good in the case of risk. In the case of Sharp, -), and they are divided into five stages: very sluggish, sluggish, normal, excellent, and excellent. In the case of diversified investment, it is divided into five stages: very good, good, moderate, poor, and very poor. In addition to the diversified investment effect among holders, it also provides investment share of assets and correlation of assets.

Meanwhile, the model portfolio according to the embodiment of the present invention is constituted by a mandatory input field and a selection input field, and a mandatory input field includes items of an asset group, a main region, a main sector, a bond region, a bond sector, , And the optional input fields include taxation method, distribution method, and benchmark item.

In addition, model portfolios can be divided into global dispersion, developed country dispersion, emerging country dispersion, North America, Europe, Oceania, Asia Pacific, Latin America, emerging Europe, Middle East Africa and individual countries for investment and bond areas.

In addition, the model portfolio is composed of three components: energy, materials, industrials, consumer sensitive consumer goods, consumer goods, healthcare, finance, IT, telecom, utilities, broad consumer, broad infrastructure, treasury bonds, , Investment-grade corporate bonds, high-end corporate bonds, and bond bonds.

In addition, the model portfolio is diversified and matched for asset group matching (US 40% + Europe 24% + Japan 16% + China 6) in the global dispersion of US 0.4, Europe 0.24, Japan 0.16, China 0.06 and emerging countries 0.14 (50% + Europe 30% + Japan 20%), 0.3 for emerging economies, 0.3 for emerging economies, and 0.7 for emerging economies. (30% in China + 70% in emerging countries).

For model matching, the model portfolio is matched by 0.5 for US Oceania, 0.3 for Europe and 0.2 for Japan (50% for the US, 30% for Europe and 20% for Japan) (50% in Europe + 30% in Europe) in the case of Australia, Hong Kong, New Zealand, Singapore and Canada. + 20% in Japan).

The model portfolio matches asset groups with asset classes matching the US, Europe, Japan, China, and emerging countries. LV2 investment regions are Austria, Belgium, Denmark, Finland, France, Germany, Ireland , Israel, Italy, Netherlands, Norway, Portugal, Spain, Switzerland, and the United Kingdom all match Europe with 100%. In the United States, the United States is 100% In China, 100% of China and 100% of all other countries can be matched.

As described above, according to the present invention, not only is it possible to diagnose past performance and future prospects by comparing a portfolio of a customer's assets with a model portfolio presented by an asset management server, , The asset allocation method and model portfolio asset allocation system using the model portfolio that enables diversified investment to be presented by presenting the asset allocation plan following the model portfolio when the diagnosis result is less than the model portfolio can be realized.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims and their equivalents. Only. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Model Portfolio Type Asset Allocation System
110 to 114: customer terminal 120: asset management server
210: Portfolio selection unit 220: Portfolio analysis unit
230: Analysis Result Provided 240: Asset Allocation Division

Claims

1. An asset allocation service method using a model portfolio of an asset management server that transmits and receives data to and from a customer terminal,
(a) the asset management server selects and holds an account held by the customer terminal and sets a customer portfolio;
(b) receiving, by the asset management server, a model portfolio to be compared with the customer portfolio by the customer terminal; - The model portfolio includes high-yield pursuits, middle-income-seekers, and stable-seekers -
(c) the asset management server compares the customer portfolio with the model portfolio to determine a customer risk of a one-year return based on the selected holding account, a standard deviation and an annualized volatility according to daily volatility, Analyzing the past performance with the investment efficiency calculated by Sharp ratio, the diversification of the portfolio constitution, the diversification of the asset class and the scattered investment showing the effect of the diversified investment in tables and graphs;
(d) The asset management server compares the customer portfolio with the model portfolio, and calculates an expected return based on the ratio of the investment weight of each customer asset group to the expected return of each asset group, the investment ratio of each customer asset group, and the variance covariance Analyzing the future prospects, which are calculated by dividing the expected risk, the investment efficiency calculated by the sharp ratio, and the total risk sum of the individual asset groups minus the expected risk divided by the total risk sum of the individual asset groups step;
(e) comparing, by the asset management server, the customer portfolio and the model portfolio according to a weight reflection value that reflects the expected return, the expected risk, the investment efficiency, and the degree of diversification Providing a result of the comparison and the necessity of asset allocation based on the result of the comparison and analysis to the customer terminal; And
(f) allocating the asset following the model portfolio according to the selection of the customer terminal by the asset management server;
/ RTI >
The results of the comparison and analysis are compared with each other according to whether the customer portfolio is higher or lower based on the model portfolio in the respective items including the expected return, the expected risk, the investment efficiency, As a result,
And whether or not the asset allocation is required is determined based on a weight reflection value calculated by weighting each of the scores.

The method according to claim 1,
(g) managing the customer portfolio by inducing rebalancing of the customer portfolio through performance analysis of the asset allocation in a predetermined period after allocating the assets following the model portfolio;
The method of claim 1, further comprising the steps of:

The method according to claim 1,
(C), the customer return rate is calculated by calculating the one-year return (R _{i, t} ) of the selected reserved account combination according to the following equation.

The method according to claim 1,
In the step (c), the customer risk may be calculated based on one standard deviation (S) and annualized volatility

The method of claim 1,

Represents the annualized volatility.

The method according to claim 1,
Wherein the investment efficiency is calculated as a sharp ratio according to the following equation in the step (c).

Represents the annualized volatility.

The method according to claim 1,
Wherein the expected return is calculated by multiplying the investment weight (W) of each customer asset group by the expected return (R) according to the asset group according to the following equation: < EMI ID =

delete

The method according to claim 1,
Wherein, in the step (d), the investment efficiency is calculated as a sharp ratio according to the following equation.

Represents expected risk.

delete

The method according to claim 1,
(E), the weighted value is calculated by reflecting the weighted value at a ratio of expected profit of 10%, expected risk of 10%, investment efficiency of 20% and dispersed investment of 60% Distribution service method.

The method according to claim 1,
In step (d), the analysis of the outlook is performed on the items of the expected rate of return, expected risk, investment efficiency, , And provides a score of 5 points, 4 points, 3 points, 2 points, and 1 point. The method of asset allocation service using a model portfolio.

The method according to claim 1,
The step (e) is a state in which the asset allocation is required when the weighted reflection value is less than 2, and the asset allocation is considered when the weighted reflection value is less than 4 and less than 2. If the value is 4 or more, The method comprising the steps of: (a) providing the customer terminal with information on whether or not the state is distributed to the customer terminal.

The method according to claim 1,
The model portfolio is divided into product category, valuation amount, domestic stock, advanced stock, emerging market stock, domestic bond, advanced country bond, emerging country bond, high yield bond, real asset, short-term asset and other assets The method comprising the steps of:

The method according to claim 1,
Wherein the step (f) provides a rebalancing portfolio in which an asset is allocated following the model portfolio to the customer terminal.

The method according to claim 1,
The method according to claim 1, wherein the step (f) further comprises the steps of: providing a portion of the customer portfolio to sell or buy in recommendation; and selecting short-term funds, real assets, domestic bonds, advanced country bonds, emerging country bonds, A portfolio portfolio management service, and a portfolio portfolio management service.

The method according to claim 1,
Wherein the mandatory input field comprises a mandatory input field and a mandatory input field for the model portfolio, the mandatory input field including an item of an asset group, a main region, a main sector, a bond region, a bond sector, a bond currency, Wherein the input field includes a taxation method, a distribution method, and a benchmark item.

The method according to claim 1,
Wherein the model portfolio includes a stock and a stock mix, a bond mix, a bond, a raw material, a real estate, a short term fund, an alternative investment, and an insurance asset for the asset group.

The method according to claim 1,
The Model Portfolio is a model portfolio that is characterized by global diversification, advanced country diversification, emerging country diversification, North America, Europe, Oceania, Asia Pacific, Latin America, emerging Europe, Asset allocation service method using.

The method according to claim 1,
The model portfolio is designed to provide the investment sector with a wealth of information on the investment sector including energy, materials, industrial materials, consumer cyclicals, consumer staples, healthcare, finance, IT, telecom, utility, broad consumer, optical infrastructure, precious metals, metal minerals, agricultural products, A method of asset allocation service using a model portfolio, characterized by distinguishing between strategic investment products, multi-asset products, structured derivatives, private investment products, and other alternative investments.

The method according to claim 1,
The Model Portfolio provides the bond sector with a wealth of information on the bond sector including energy, materials, industrial materials, consumer sensitive consumer goods, essential consumer goods, healthcare, finance, IT, telecom, utility, broad consumer, broad infrastructure, Investment-grade corporate bonds, high-yield corporate bonds, and other bonds.

The method according to claim 1,
The model portfolio is composed of a large stock, a small and medium-sized stock, a dividend, a value stock, an index (ETF), leverage, unlisted, short, medium, long term, commodity spot, commodity futures, individual commodities, A method of asset allocation using a model portfolio characterized by CD, MMF, MMW, RP, deposit, multi-strategy, long-short strategy, market neutral strategy, inverse strategy, protection insurance, savings insurance and credit grant.

The method according to claim 1,
For the asset class matching, the model portfolio is dispersed to 0.4 in the US, 0.24 in Europe, 0.16 in Japan, 0.06 in China, 0.14 in emerging countries, and 0.04 in the global dispersion. And 0.3 in the case of emerging economies, and 0.7 in emerging economies. The method of asset allocation service using the model portfolio is characterized in that the model distribution is matched.

The method according to claim 1,
For the asset group matching, the model portfolio is distributed by 0.5, 0.3, and 0.2 in the case of Oceania dispersion. In case of Asia Pacific dispersion, it is dispersed to 0.3 in China and 0.7 in emerging countries. The method of asset allocation using the model portfolio is characterized in that it is distributed in the United States 0.5, Europe 0.3, and Japan 0.2 in the case of New Zealand, Singapore Port and Canada.

A portfolio selection unit for selecting and inputting a model portfolio to be compared with the customer portfolio by presenting a model portfolio to the customer terminal by setting up a customer portfolio by selecting and holding accounts from the customer terminal;
The customer portfolio is compared with the model portfolio to determine the customer risk of one year return based on the selected holding account, the customer risk calculated by one standard deviation and the annualized volatility according to daily volatility, the investment efficiency calculated by the sharp ratio, Portfolio structure Asset diversity, biased asset class, and past performance with diversified investment grade as a graph are analyzed, and the customer portfolio and the model portfolio are compared. The expected return calculated by multiplying the expected return, the expected risk calculated using the investment weight by customer asset class and the distributed covariance between asset classes, the investment efficiency calculated by the sharp ratio, and the total risk sum of individual asset groups minus expected risk The amount of diversification that is calculated by dividing the total risk sum of individual asset classes by A portfolio analysis department for analyzing future prospects;
The analysis result providing unit provides the customer terminal with the result of comparing and analyzing the customer portfolio and the model portfolio according to the weighted reflection value reflecting the weight of each item and the necessity of asset allocation based on the result of the comparative analysis, ; And
An asset allocation unit for allocating an asset following the model portfolio according to the selection of the customer terminal;
/ RTI >
The results of the comparison and analysis are compared with each other according to whether the customer portfolio is higher or lower based on the model portfolio in the respective items including the expected return, the expected risk, the investment efficiency, As a result,
And whether or not the asset allocation is required is determined based on a weight reflection value calculated by weighting each of the scores.

27. The method of claim 24,
Wherein the asset allocation unit manages the customer portfolio by inducing rebalancing of the customer portfolio by analyzing the performance of the asset allocation in a predetermined period after allocating the assets following the model portfolio, system.

27. The method of claim 24,
Wherein the portfolio analyzing unit calculates a one-year return (R _{i, t} ) of the selected holding account combination according to the following equation with respect to the customer return rate.

27. The method of claim 24,
The portfolio analyzer calculates a standard deviation (S) and an annualized volatility ("

). The model portfolio type asset allocation system according to claim 1,

Represents the annualized volatility.

27. The method of claim 24,
Wherein the portfolio analyzing unit calculates the investment efficiency as a sharp ratio according to the following equation.

Represents the annualized volatility.

27. The method of claim 24,
Wherein the portfolio analyzing unit calculates the expected return on investment by multiplying the investment weight (W) of each customer asset group by the expected return (R) for each asset group according to the following equation.

delete

Represents expected risk.

delete

27. The method of claim 24,
Wherein the analysis result providing unit reflects the weight for each item in a ratio of an expected return rate of 10%, an expected risk of 10%, an investment efficiency of 20%, and a dispersion investment effect of 60% Portfolio type asset allocation system.

27. The method of claim 24,
The analysis result providing unit may be configured to provide a good, good, medium, bad, and very bad convenience to the items according to the expected rate of return, expected risk, investment efficiency, , And calculating a score based on a score of 5, 4, 3, 2, and 1.

27. The method of claim 24,
The analysis result providing unit is in a state in which the asset allocation is required when the weighted reflection value is less than 2 points, and the asset allocation is considered when the weighted reflection value is less than 2 points and less than 4 points. If the value is 4 or more, And provides the customer terminal with information on whether or not the state is distributed to the customer terminal.

27. The method of claim 24,
The above analysis result provider calculates the score by dividing it by the bias, the investment weight, the number and the dispersion effect on the dispersion investment effect, and assigns the weight to the calculated score by 20%, 20%, and 60% And calculating a weighted score based on the model portfolio portfolio.

27. The method of claim 24,
Wherein the asset allocation unit provides a rebalancing portfolio in which the asset is allocated according to the model portfolio to the customer terminal.

27. The method of claim 24,
Wherein the asset allocation unit presents a portion of selling or buying recommendation to the customer portfolio and selects a short-term fund, a real asset, a domestic bond, an advanced country bond, an emerging country bond, a high-yield bond, A model portfolio portfolio type asset allocation system characterized in that a portfolio trading service capable of changing the weight of stocks in developed countries is executed.