KR101940034B1 - METHOD AND SERVER FOR Equity Linked Securities RECOMMENDATION USING COMPUTER AND COMPUTER-READABLE MEDIUM STORING PROGRAM FOR EXECUTING THE SAME - Google Patents

Abstract

A computer-assisted ELS recommendation method is disclosed. According to an aspect of the present invention there is provided a method of recommending Equal Linked Securities (ELS) using a computer, the computer comprising a memory, Wherein the information about the plurality of ELSs at a given point in time, the information about each ELS, comprises ELS identification information, a first evaluation index and a second evaluation index of the ELS, ; Selecting n recommendable ELSs among the ELSs stored in the database; Storing '1' in the specific space i and storing the recommendable n values in the specific space M and the specific space N; Storing the recommendable n candidate ELSs in the specific space C1; (A) assigning a ranking of ELS having a maximum value of a second evaluation index among candidate groups stored in the specific space C1 to i and further storing the ranking in the specific space R; (B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing the remaining ELSs in the specific space C2 except a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index; (C) (the number of ELS stored in the specific space C1 -k) in the specific space Nhc; (D) determining whether the value stored in the specific space Nhc is '0'; (D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i, and is stored again in the specific space i. After initializing the specific space C1, (C2), initializing the specific space (C2), and returning to the step (A); (E) if the value stored in the specific space Nhc is '0', storing the remaining candidate ELSs other than the ELS stored in the specific space R in the specific space C1; (F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And (F-1) if the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M, Value of the specific space i, adding 1 to the stored value of the specific space i, storing it again in the specific space i, and returning to the step (A).

Description

TECHNICAL FIELD The present invention relates to an ELS recommendation method using a computer, an ELS recommendation server, and a computer program stored in a computer readable medium. BACKGROUND OF THE INVENTION 1. Field of the Invention [0002]

The present invention relates to an ELS recommendation method using a computer and an ELS recommendation server.

Equity linked securities (ELS) are commodities that determine the amount of payment to be paid to a customer based on changes in certain underlying assets (eg stocks) or indices. This ELS is a type of derivative that has a structure that determines the return rate in relation to the fluctuation of individual stocks and has a structure that combines options or options and bonds. In this way, ELS is a combination of derivatives or derivatives and other financial instruments, and therefore the entire amount of the maximum investment is a risky item with possible loss. These ELSs have a wide variety of product types, new types of products continue to be published, and the structure is so complex that there is no uniform and flexible evaluation method applicable to any product structure.

According to the conventional invention related to ELS, Korean Patent Laid-open No. 10-2016-0114002 (2016.10.04) exists, but the conventional invention does not select a complicated ELS by a customer, . This is not an suggestion of an ELS evaluation recommendation method which is the object of the present invention, but a method of helping an expert to operate an ELS on behalf of a customer, and suggests an indirect management method related to ELS.

In addition, in the case of Korean Patent Laid-Open No. 10-2014-0113082 (2014.09.24), it is merely an intermediate step in the ELS sales process between a user and a securities company, which facilitates the process. However, There is no need to worry about providing information by assessing whether ELS is safe and profitable.

Korean Patent Publication No. 10-2016-0114002 (Oct. 10, 2014) Korean Patent Publication No. 10-2014-0113082 (2014.09.24)

It is an object of the present invention to provide an ELS recommendation method using a computer.

It is also an object of the present invention to provide an ELS recommendation server.

According to one aspect of the present invention, a computer-assisted ELS recommendation method is provided wherein the computer comprises a memory, the memory comprising specific spaces i, N, M, C1, C2, R, Nlc and Nhc, Information about a plurality of ELSs at a predetermined time point, the information about each ELS including ELS identification information, a first evaluation index and a second evaluation index of the ELS; Selecting n recommendable ELSs among the ELSs stored in the database; Storing '1' in the specific space i and storing the recommendable n values in the specific space M and the specific space N; Storing the recommendable n candidate ELSs in the specific space C1; (A) assigning a ranking of ELS having a maximum value of a second evaluation index among candidate groups stored in the specific space C1 to i and further storing the ranking in the specific space R; (B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing the remaining ELSs in the specific space C2 except a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index; (C) (the number of ELS stored in the specific space C1 -k) in the specific space Nhc; (D) determining whether the value stored in the specific space Nhc is '0'; (D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i, and is stored again in the specific space i. After initializing the specific space C1, (C2), initializing the specific space (C2), and returning to the step (A); (E) if the value stored in the specific space Nhc is '0', storing the remaining candidate ELSs other than the ELS stored in the specific space R in the specific space C1; (F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And (F-1) if the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M, Value, adding 1 to the stored value of the specific space i, storing it again in the specific space i, and returning to the step (A).

When the difference between the value stored in the specific space M and the value stored in the specific space i is '0' after the step (F-1), the ELS stored in the specific space R is changed according to the assigned rank And grouping in a predetermined unit.

In addition, the first evaluation index is an index of earnings of ELS, and the second evaluation index may be an index of safety of ELS.

Further, the second evaluation index is an index of earnings of ELS, and the second evaluation index may be an index of safety of ELS.

In the step (A), when there are a plurality of ELSs having a maximum value of the second evaluation index among the candidates stored in the specific space C1, the ranking of the ELSs having the largest value of the first evaluation index among the plurality of ELSs i and additionally storing the added information in the specific space 0.

According to another aspect of the present invention, there is provided an ELS recommendation server connected directly or indirectly to at least one of an investor terminal and an asset management server through a network communication network, wherein the ELS recommendation server comprises a controller, a communication input / output unit, Wherein the ELS recommendation server comprises a memory and an ELS information store, wherein the memory comprises specific spaces i, N, M, C1, C2, R, Nlc and Nhc, Information about a plurality of ELSs - information about each ELS is controlled to be stored in the ELS information store, the ELS recommendation section being adapted to store ELS identification information, a first evaluation index and a second evaluation index of the ELS, Selects n recommendable candidate ELSs among the ELSs stored in the ELS information storage, stores '1' in the specific space i, and stores n recommended values in the specific space M and the specific space N And stores the recommended candidate ELSs in the specific space C1, and the ELS recommendation section determines (A) the ranking of the ELSs having the largest value of the second evaluation index among the candidates stored in the specific space C1 I to the specific space R; (B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing the remaining ELSs in the specific space C2 except a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index; (C) storing the number of ELSs stored in the specific space C1 in the specific space Nhc; (D) determining whether the value stored in the specific space Nhc is '0'; (D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i, and is stored again in the specific space i. After initializing the specific space C1, (C2), initializing the specific space (C2), and returning to the step (A); (E) if the value stored in the specific space Nhc is '0', storing the remaining candidate ELSs other than the ELS stored in the specific space R in the specific space C1; (F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And (F-1) if the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M, Value of the specific space i, adding 1 to the stored value of the specific space i, storing it again in the specific space i, and returning to the step (A).

If the difference between the value stored in the specific space M and the value stored in the specific space i is' 0 'after the step (F-1), the ELS recommendation unit determines that the ELS stored in the specific space R is' And further performing grouping in a predetermined unit according to the assigned rank.

In addition, the first evaluation index is an index of earnings of ELS, and the second evaluation index may be an index of safety of ELS.

Further, the second evaluation index is an index of earnings of ELS, and the second evaluation index may be an index of safety of ELS.

In the step (A), when there are a plurality of ELSs having a maximum value of the second evaluation index among the candidates stored in the specific space C1, the ranking of the ELSs having the largest value of the first evaluation index among the plurality of ELSs i and additionally storing the added information in the specific space 0.

It may also be a computer program stored on a computer readable medium for executing the steps contained in the method.

According to an aspect of the present invention, a computer-assisted ELS recommendation method can be provided.

According to another aspect of the present invention, an ELS recommendation server may be provided.

1 is a configuration diagram of an ELS recommendation server according to an embodiment of the present invention
2 is a diagram illustrating a sequence of operations according to an embodiment of the present invention.
3 is a diagram showing distribution of ELS based on two evaluation indexes
4 is a table showing changes in values in a specific space on a memory according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The present invention is capable of various modifications and various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Referring to the accompanying drawings, the same or corresponding components are denoted by the same reference numerals, .

It is also to be understood that the terms first, second, etc. used hereinafter are merely reference numerals for distinguishing between identical or corresponding components, and the same or corresponding components are defined by terms such as first, second, no.

In addition, the term " coupled " is used not only in the case of direct physical contact between the respective constituent elements in the contact relation between the constituent elements, but also means that other constituent elements are interposed between the constituent elements, Use them as a concept to cover each contact.

Also, in the context of a computer program, the suffix "module" and / or "part" for a component may be part of a computer program for causing a computer to function as a means of a particular function, It can be a part. For example, the module A may be interpreted as a computer program for making the computer function as the means A or a computer program for realizing the function A in the computer. As a method, a "step" can be implemented and executed as a computer program in a computer. Also, "module" and / or "part"

On the other hand, an application refers to a set of computer programs designed to perform a specific task, which is also referred to as an application program. The user can add the related function by installing the application according to the embodiment of the present invention in his electronic device.

The user's electronic device in which the application is installed is composed of a CPU, RAM, ROM, storage device such as a computer, a tablet PC, and a smart phone, and is an environment in which the entire system is controlled by a graphical operating system such as Windows, iOS, Android, Especially for smartphones that can send and receive phone calls and texts to registered contacts.

Further, the flowcharts of the drawings attached hereto are only a flow chart for explaining the invention, and need not be a flowchart to be completely implemented without a bug on a computer.

Also, the terminal referred to herein may be a general user terminal such as a smart phone, a personal computer, a tablet PC, and the like.

1 is a configuration diagram of an ELS recommendation server according to an embodiment of the present invention. Referring to FIG. 1, an ELS recommendation server 100 and a configuration thereof and external terminals connected to the ELS recommendation server are shown.

The ELS recommendation server may include a configuration of the control unit 111, the communication input / output unit 113, the ELS recommendation unit 115, the memory 117, and the ELS information storage 119.

First, the control unit controls other components such as the communication input / output unit of the ELS recommendation server, the ELS recommendation unit, the memory, and the ELS information storage unit.

Next, the communication input / output unit receives data or control signals from an external terminal or device, and outputs data or control signals to the outside. The ELS recommendation server can send and receive various kinds of data related to the fund or asset directly or indirectly to the wired and wireless network through the communication input / output unit. Also, the ELS recommendation server receives the control signal connected to the keyboard, And can output a control signal.

Next, the ELS information store stores data associated with the plurality of investable ELSs received via the communication input / output unit or the like. More specifically, ELS, such as the identification number, ELS issuer, seller, maturity date, maturity period, minimum selling unit, underlying asset, principal guarantee, risk rate, All information can be stored in the ELS information store. It is needless to say that not only one ELS is stored, but a plurality of various ELSs can be stored in the ELS information store.

Meanwhile, the ELS information store can be stored in a variety of different ELSs at different times. Because ELS may fluctuate in terms of returns or risks in a timely manner due to its nature, the assessment of ELS should be based on the latest ELS information. Details of this will be described in detail below.

Next, the memory may be a space for storing various parameters used in the process of recommending ELS. More specifically, the memory may include specific spaces i, N, M, Cl, C2, O, Nlc, Nhc and R, where i is the ranking of the ELS to be assigned, N is the number of candidate ELSs, M is the first candidate ELS (Candidate 1) is a candidate ELS list or a lower, inferior ELS list, C2 is a temporary candidate ELS list or a high, superior ELS list, R (Rank) is a ranked ELS list, Nlc (Number of lower candidates) can store the number of ELS stored in C1, and Nhc (Number of high candidates) can store the number of ELS stored in C2.

Next, the ELS recommendation section performs a series of actions to recommend ELS. More specifically, the ELS recommendation unit selects n candidate ELSs that can be recommended among the ELSs stored in the ELS information storage, stores '1' in the specific space i, and stores the number n of ELSs , And controls to store n recommendable candidate ELSs in the specific space C1. The order may be changed in the above process.

Next, the ELS recommendation section,

(A) assigning a ranking of ELS having a maximum value of a second evaluation index among candidate groups stored in the specific space C1 to i and further storing the ranking in the specific space R;

(B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing the remaining ELSs in the specific space C2 except a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index;

(C) storing the number of ELSs stored in the specific space C1 in the specific space Nhc;

(D) determining whether the value stored in the specific space Nhc is '0';

(D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i, and is stored again in the specific space i. After initializing the specific space C1, (C2), initializing the specific space (C2), and returning to the step (A);

(E) if the value stored in the specific space Nhc is '0', storing the remaining candidate ELSs other than the ELS stored in the specific space R in the specific space C1;

(F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And

(F-1) If the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M and the value stored in the specific space i , Adds 1 to the stored value of the specific space i, stores it again in the specific space i, and returns to step (A). The procedure for this will be described below in conjunction with the examples.

If the difference between the value stored in the specific space M and the value stored in the specific space i is' 0 'after the step (F-1), the ELS recommendation unit sets the ELS stored in the specific space R to' And grouping them into predetermined units according to the ranking. More specifically, each candidate ELS can be ranked and sorted by the ELS recommendation unit. You can group ELS by percentage based on these rankings. For example, for the top 10% or more, three stars, the top 10%, the top 90% and two stars, and the bottom 10% stars.

On the other hand, the first evaluation index may be an indicator of expected return of ELS, and the second evaluation index may be an indicator of ELS risk. For reference, the first and second evaluation indicators of ELS can be the expected return and Omega ratio obtained through the Monte Carlo method, which is an algorithm for stochastically calculating the value of a function using random numbers. In addition, the TWL ratio is the abbreviation of the total win lose ratio, which can be the ratio of the sum of the positive returns to the sum of the negative returns.

Also, contrary to the foregoing description, the first evaluation index is an index of risk of ELS, and the second evaluation index may be an index of expected return of ELS. By reversing the first evaluation index and the second evaluation index in this manner, the ELS can be evaluated by giving priority to the specific index.

The ELS recommendation unit assigns the rank of ELS, which is the maximum value of the first evaluation index among the plurality of ELSs, to i when the plurality of ELSs having the largest value of the second evaluation index among the candidates stored in the specific space C1 are the largest, It can be additionally stored in a specific space 0. More specifically, when there are a plurality of candidate ELSs having the same risk index value, the ELS having the largest value is selected by comparing the values of the return indexes, which are different from each other, without randomly selecting the ELS among the plurality of candidate ELSs So that ranking can be given.

In addition, the ELS recommendation section may further include a routine for selecting a candidate ELS among the ELS stored in the ELS information storage, and then checking whether the information of the candidate ELS is up-to-date. As described earlier, ELS should be evaluated based on the most up-to-date information since the value of the evaluation index changes in a time-series manner. To do this, you can verify that the candidate ELS stored in C1 contains the latest information. This latest information check routine can be done before the ranking is given to candidate ELS in earnest.

2 is a flowchart according to another embodiment of the present invention. Referring to FIG. 2, the computer of the Equal Linked Securities (ELS) recommendation method using a computer includes a memory, which includes specific spaces i, N, M, C1, C2, O, Nlc, Nhc and R and,

The computer storing information about a plurality of ELSs at a predetermined time point, wherein the information about each ELS includes ELS identification information, a first evaluation index and a second evaluation index of the ELS in a database (S201 );

Selecting n recommendable ELSs among the ELSs stored in the database (S203);

Storing '1' in the specific space i, and storing the recommendable n values in the specific space M and the specific space N (S205);

Storing the recommendable n candidate ELSs in the specific space C1 (S207);

(A) adding (S211) the ranking of the ELS having the maximum value of the second evaluation index among the candidate groups stored in the specific space C1 to i and further storing the ranking in the specific space R;

(B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing (S213) the remaining ELSs in the specific space C2 excluding a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index;

(C) storing (S215) the number of ELSs stored in the specific space C1 in the specific space Nhc;

(D) determining whether the value stored in the specific space Nhc is '0' (S217);

(D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i, and is stored again in the specific space i. After initializing the specific space C1, (S219) after initializing the specific space C2 and then returning to the step (A);

(E21) storing (S221) remaining candidate ELSs other than the ELS stored in the specific space O in the specific space C1 if the value stored in the specific space Nhc is '0';

(F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0' (S223);

(F-1) If the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M and the value stored in the specific space i (S225), adding 1 to the stored value of the specific space i, storing it again in the specific space i, and returning to the step (A); And

(S 231) grouping the ELS stored in the specific space O into a preset unit according to the assigned ranking if the difference between the value stored in the specific space M and the value stored in the specific space i is '0' .

3 is a diagram showing the distribution of ELS based on two evaluation indexes. An embodiment of the present invention will be described with reference to Fig.

According to the present invention, the ELS 10 having the highest risk index, i.e., the safest ELS among the ELSs distributed on the coordinates, is extracted and added to R in the memory. The remaining ELSs 4, 6, 7, 9, except for ELS 1, 2, 3, 5, 8, which have the same or lower values of the first and second evaluation index than ELS 10, and their own ELS 10, Save to list space. The value stored in Nlc is 6, and the value stored in Nhc is 4. Then, check whether the value stored in Nhc is 0, that is, whether there is room for extracting ELS from a separate group. Since it is not '0', i is incremented by 1, and ELS of the next ranking is extracted again with respect to ELS 4,6,7,9 stored in the temporary candidate ELS list, that is, C2. It goes without saying that the stored data of C2 is performed after it is replicated to C1. Extract ELS 7 with the second highest evaluation index among ELS 4, 6, 7, and 9 and add it to R. Thereafter, the remaining ELSs other than ELS 4, 6, 7, and 9 having the same or lower values of the first and second evaluation indexes than ELS 7 are stored in the temporary candidate ELS. However, since ELS 4, 6, 7, and 9 are all ELS except 4, 6, 7, and 9, there is nothing left in the candidate ELS. That is, Nhc becomes zero.

When Nhc is 0, the above procedure is repeated for the remaining ELSs other than the ELS that has already been ranked. In addition, when it is judged that ranking is given to all the ELSs, that is, when M-i is 0, ranking assignment ends. 4 is a table showing changes in values on the memory during ranking according to the process.

In addition, in the embodiment of the present invention, the description has been given of assigning the ranking of ELS with only two evaluation indexes, in particular, the risk index and the profit index. However, the present invention is not limited to this, .

The ELS recommendation method and server according to the present invention can select the most appropriate ELS based on expected return rate and loss probability factors. In addition, a large amount of ELS products can be easily identified in a short period of time through the ELS recommendation method and the server.

The methods and processes described above may be embodied as instructions for execution by, for example, a processor, controller, or other processing device, or may be encoded or read from a compact disk read only memory (CDROM), magnetic or optical disk, flash memory, (RAM) or read only memory (ROM), erasable programmable read only memory (EPROM), or other machine-readable medium.

Such a medium may be embodied as any device that stores, communicates, propagates, or transports executable instructions for use by or in connection with an instruction executable system, apparatus or device. Alternatively or additionally, as analog or digital logic using one or more integrated circuits, or hardware such as one or more processor execution instructions; Or as application programming interfaces (APIs) or dynamic link libraries (DLLs), software as functions defined in local or remote procedure calls or available in shared memory; Or a combination of hardware and software.

In other implementations, the method may be represented as a signal or a propagation-signal medium. For example, instructions that implement the logic of any given program may take the form of electrical, magnetic, optical, electromagnetic, infrared, or other types of signals. The above-described systems may be configured to receive such signals at a communication interface, such as a fiber optic interface, antenna, or other analog or digital signal interface, to recover instructions from the signal, store them in a machine readable memory, and / And execute them.

Further, the present invention can be implemented in hardware or software. The present invention can also be embodied as computer readable code on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like, and may be implemented in the form of a carrier wave (for example, transmission via the Internet) . The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.

Embodiments of the present invention may include a carrier wave having electronically readable control signals, which may be operated with a programmable computer system in which one of the methods described herein is implemented. Embodiments of the present invention may be implemented as a computer program product having program code, wherein the program code is operated to execute one of the methods when the computer program is run on a computer. The program code may be stored on, for example, a machine readable carrier. One embodiment of the invention may be a computer program having program code for executing one of the methods described herein when the computer program is run on a computer. The present invention may include a computer, or programmable logic device, for performing one of the methods described above. A programmable logic device (e.g., a field programmable gate array, a complementary metal oxide semiconductor based logic circuit) may be used to perform some or all of the functions described above.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit of the invention as set forth in the appended claims. The present invention can be variously modified and changed by those skilled in the art, and it is also within the scope of the present invention.

ELS recommended server: 100
Control section: 111
Communication I / O section: 113
ELS recommendation section: 115
Memory: 117
ELS Information Store: 119

Claims (11)

In a computer-based ELS (Equity Linked Securities) recommendation method,
Wherein the computer comprises a memory, the memory comprising specific spaces i, N, M, Cl, C2, R, Nlc and Nhc,
Wherein the information about the plurality of ELSs at a predetermined point in time is stored in a database, wherein the information about each ELS includes ELS identification information, a first evaluation index and a second evaluation index of the ELS;
The computer selecting n recommendable ELSs among the ELSs stored in the database;
Storing the value '1' in the specific space i and storing the recommendable n values in the specific space M and the specific space N;
The computer storing the recommendable n candidate ELSs in the specific space C1;
(A) assigning a ranking of ELS having a maximum value of a second evaluation index among the candidate groups stored in the specific space C1 to the computer, and further storing the ranking in the specific space R;
(B) an ELS having the rank of the i, an ELS having a value of the first evaluation index and a value of the second evaluation index simultaneously smaller than the ELS having the ranking of the i, Storing the remaining ELSs in the specific space C2 except the total k ELSs including the ELSs having the same or smaller value of the first evaluation index and a smaller value of the second evaluation index;
(C) storing the value of (the number of ELSs stored in the specific space C1 -k) in the specific space Nhc;
(D) determining whether the value stored in the specific space Nhc is '0';
(D-1) If the value stored in the specific space Nhc is not '0', the computer adds 1 to the stored value of the specific space i, stores it again in the specific space i, After storing the specific space C2 in the specific space C2, initializing the specific space C2, and then returning to the step (A);
(E) if the value stored in the specific space Nhc is '0', the computer stores the remaining candidate ELS except for the ELS stored in the specific space R in the specific space C1;
(F) determining whether the difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And
(F-1) If the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the computer stores the specific space N in the specific space M and the specific space i (I) adding one to the stored value of the specific space i and storing it again in the specific space i, and returning to the step (A). Recommended method.
The method according to claim 1,
After step (F-1)
(G) when the difference between the value stored in the specific space M and the value stored in the specific space i is '0', the computer groups the ELS stored in the specific space R in a predetermined unit according to the assigned rank Further comprising the steps of: (a)
The method according to claim 1,
Wherein the first evaluation index is an index of earnings of the ELS, and the second evaluation index is an index of safety of the ELS.
delete The method according to claim 1,
The step (A)
When there are a plurality of ELSs having a maximum value of the second evaluation index among the candidate groups stored in the specific space C1, the ranking of the ELSs having the maximum value of the first evaluation index among the plurality of ELSs is given as i, And further storing the ELS recommendation method.
An investor terminal, and an asset management server directly or indirectly through a network communication network,
The ELS recommendation server includes a control unit, a communication input / output unit, an ELS recommendation unit, a memory, and an ELS information store,
Wherein the memory comprises specific spaces i, N, M, Cl, C2, R, Nlc and Nhc,
Wherein the ELS recommendation server comprises information about a plurality of ELSs at a predetermined time point through the communication input / output unit, wherein the information on each ELS includes ELS identification information, a first evaluation index and a second evaluation index of the ELS To be stored in the ELS information store,
The ELS recommendation unit selects n candidate ELSs that can be recommended among the ELSs stored in the ELS information storage, stores '1' in the specific space i, and stores the recommended space of 'n' And to store the recommendable n candidate ELSs in the specific space C1,
The ELS recommendation unit,
(A) assigning a ranking of ELS having a maximum value of a second evaluation index among candidate groups stored in the specific space C1 to i and further storing the ranking in the specific space R;
(B) an ELS that has been ranked in the i, a value of the first evaluation index and a value of the second evaluation index that are smaller than the ELS of the i, Storing the remaining ELSs in the specific space C2 except a total of k ELSs including ELSs having the same or smaller evaluation index value and a smaller value of the second evaluation index;
(C) storing the number of ELSs stored in the specific space C1 in the specific space Nhc;
(D) determining whether the value stored in the specific space Nhc is '0';
(D-1) If the value stored in the specific space Nhc is not '0', 1 is added to the stored value of the specific space i and stored again in the specific space i, (C2), initializing the specific space (C2), and returning to the step (A);
(E) if the value stored in the specific space Nhc is '0', storing the remaining candidate ELSs other than the ELS stored in the specific space R in the specific space C1;
(F) determining whether a difference between a value stored in the specific space M and a value stored in the specific space i is '0'; And
(F-1) If the difference between the value stored in the specific space M and the value stored in the specific space i is not '0', the specific space N is stored in the specific space M and the value stored in the specific space i , Adding 1 to the stored value of the specific space i, storing it again in the specific space i, and returning to the step (A).
The method according to claim 6,
The ELS recommendation unit may include:
After step (F-1)
(G) grouping the ELS stored in the specific space R in a predetermined unit according to the assigned rank if the difference between the value stored in the specific space M and the value stored in the specific space i is '0' And the ELS recommendation server.
The method according to claim 6,
Wherein the first evaluation index is an index of earnings of the ELS, and the second evaluation index is an index of safety of the ELS.
delete The method according to claim 6,
The step (A)
When there are a plurality of ELSs having a maximum value of the second evaluation index among the candidate groups stored in the specific space C1, the ranking of the ELSs having the maximum value of the first evaluation index among the plurality of ELSs is given as i, And further storing the ELS recommendation server.
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