CN102708492A - Index calculating method based on dynamic sample - Google Patents

Index calculating method based on dynamic sample Download PDF

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Publication number
CN102708492A
CN102708492A CN2012101309865A CN201210130986A CN102708492A CN 102708492 A CN102708492 A CN 102708492A CN 2012101309865 A CN2012101309865 A CN 2012101309865A CN 201210130986 A CN201210130986 A CN 201210130986A CN 102708492 A CN102708492 A CN 102708492A
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China
Prior art keywords
index
sales volume
classification
price
data
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CN2012101309865A
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Inventor
李宇奇
黄有富
刘翔
黄海亮
林思旭
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SHENZHEN HUAQIANG ZHONGDIAN MARKET INDICES CO Ltd
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SHENZHEN HUAQIANG ZHONGDIAN MARKET INDICES CO Ltd
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Priority to CN2012101309865A priority Critical patent/CN102708492A/en
Publication of CN102708492A publication Critical patent/CN102708492A/en
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Abstract

The invention discloses an index calculating method based on a dynamic sample. The method is used for solving the problem of relatively quick update of representative in the calculating method. The index calculation is carried out by selecting a plurality of mainstream product sale data under the classification on the basis of the product in one classification to calculate the ratio between the data of the mainstream product of a report period in one classification and the data of a base period, wherein the alternation of the representative does not affect the result of the index calculation; and using the index of the mainstream product to reflect the tendency of the product in one product type is in line with the index law.

Description

A kind of index calculation method based on dynamic sample
Technical field
The present invention relates to a kind of computing method that price index is calculated, specifically is a kind of index calculation method based on dynamic sample.
Background technology
The Laplace formula is a kind of of weighted comprehensive formula, promptly on the basis of aggregative formula, the commodity price in two periods multiply by flexible strategy (consumption figure) respectively, compares then, calculates combined index.German statistician Lars Bel (Laspeyres) opinion was calculated combined index with base period consumption figure weighting in 1864, promptly was called the Laplace formula.
According to the above price index computation model; In the short industry of some life cycle of commodities; Be mainly reflected in following problem: promptly in current period; The commodity in base period possibly not exist, yet non-existent commodity must cause the loss of weight, and then reaction average price index that can not be correct.
Summary of the invention
The technical matters that the present invention mainly solves is a kind of index calculation method based on dynamic sample, and the representative article that solve the computing method existence upgrade problem faster.
For addressing the above problem; The present invention realizes through following scheme: a kind of index calculation method based on dynamic sample; Some the main product sales data that this Index for Calculation is chosen under current this classification based on the product of certain classification is calculated; With the data of the report period main product that calculates a certain classification and the ratio of the data in base period, its index calculation method key step comprises:
1), data acquisition, be main through taking with artificial image data, be auxilliary with the tax invoice data with online electronic market business transaction data;
2), the garbled data sample, according to the data of being gathered for each issue, each makes a report on individuality down to filter out each classification, sales volume is maximum, the most representative main product data;
3), calculate the price of level classification of the end, each of this classification made a report on total pin volume that individual average price equals this classification and multiply by this again divided by total sales volume and make a report on individual weight, all prices of making a report on individual this classification sued for peace again;
4), the price index of level classification of the end calculates, i.e. the class price in class price/base period of its report period;
5), calculate higher level's product price index, be its price index of all sub levels fixed weight summation of multiply by the sub level product down;
6), calculate the composite price index, the weight that multiply by each department with higher level's price index of each department draws the composite price index.
In step 3), according to sales volume, sales volume, data such as profit draw sales volume, sales volume, the profit of level classification of the end.
Calculate sales volume index, the sales volume exponential sum profit index of end level classification according to sales volume, sales volume, the profit of level classification of the said end.
In step 5), sales volume, sales volume and profit according to classification at different levels calculate the sales volume index, sales volume exponential sum profit index.
In step 6), according to comprehensive sales volume, comprehensive sales volume and comprehensive profit, calculate comprehensive sales volume index, the comprehensive sales volume exponential sum index of comprehensively getting a profit.
The present invention is mainly reflected in following advantage: the change of representative article is not influencing the result of Index for Calculation, reflects that with the index of main product the tendency of the product of a category is the index of coincidence rule.
Description of drawings
Fig. 1 is an Index for Calculation process flow diagram of the present invention.
Embodiment
Embodiment: as shown in Figure 1; A kind of index calculation method based on dynamic sample; Some the main product sales data that this Index for Calculation is chosen under current this classification based on the product of certain classification is calculated; With the data of the report period main product that calculates a certain classification and the ratio of the data in base period, its index calculation method key step comprises:
The first step: data acquisition is main through taking with artificial image data, is auxilliary with the tax invoice data with online electronic market business transaction data;
Second step: the garbled data sample, according to the data of being gathered for each issue, each makes a report on individuality down to filter out each classification, and sales volume is maximum, the most representative main product data;
The 3rd step: calculate the price of level classification of the end, each of this classification made a report on total pin volume that individual average price equals this classification and multiply by this again divided by total sales volume and make a report on individual weight, all prices of making a report on individual this classification sued for peace again; The price index of level classification of the end calculates, i.e. the class price in class price/base period of its report period; Can be according to sales volume, sales volume, data such as profit draw the sales volume of level classification of the end, sales volume, profit.In like manner can calculate the sales volume index of level classification of the end, the sales volume index (claiming scaled index again) and the index of getting a profit.
The 4th step: calculate higher level's product price index, the price index that is all sub levels under it multiply by the fixed weight summation of sub level product; In like manner can calculate the sales volume index, sales volume index (claiming scaled index again) and profit index.
The 5th step: calculate the composite price index, the weight that multiply by each department with higher level's price index of each department draws the composite price index, in like manner can calculate comprehensive sales volume index, the comprehensive sales volume index (claiming comprehensive scaled index again) and the index of comprehensively getting a profit.
From the history of index development, the preparation method of price index mainly contains two kinds: a kind of is the price index with base period quantity weighted calculation that you this (Laspeyres) of German scholar Lars proposes, and this index abbreviates the Laplace index as; Another kind is the price index with report period quantity weighted calculation that German scholar handkerchief warm (Paasche) proposes, and this index abbreviates the Pa Shi index as.The advantage of Laplace index is to make flexible strategy with base period quantity can eliminate the influence of flexible strategy change to index, thereby makes the price index of different times have comparability.But this index also has obvious defects; It is the change level of the constant price of following report period of situation of supposition sales volume; Although this index can reflect the change level of price merely, can not reflect variation in number, particularly can not reflect the change of quantitative structure.And the Pa Shi index can not be eliminated the influence of flexible strategy change to index owing to report period quantity weighting, thereby the index of different times shortage comparability, but the Pa Shi index can reflect the variation of price and quantity and structure thereof simultaneously.From the practical significance of accounting price index, we more are concerned about under the report period quantity term, the actual change level of price.With regard to the establishment price index, its objective is the present price level in timely reflection market, what we were concerned about is that the change level and the trend thereof of price are so that it is dynamic in time to hold the present market price under present trading volume level.Therefore, the establishment of price index adopts Pa Shi price index formula proper, and promptly with report period trading volume weighted calculation combination price grid index, this had both met the theory demand of price index, had clearer and more definite real economy meaning again.Therefore, national price index adopts the Pa Shi exponential form.
Concrete computing formula is following: I=(∑ P1Q1/ ∑ P0Q1) * 100%I representes price index P0; P1 representes the price numerical value Q0 of base period and report period; Q1 representes that the sales volume numerical value of base period and report period is present, and the concrete grammar of establishment price index mainly contains two kinds: the one, and direct organization's method is just on overall basis; Directly gather sample price and trading volume, work out out its price index then; Another kind is the deflation approach of generally advocating in the national economic accounting, promptly utilizes the individual price index of report period transaction value grouped data and direct organization, comprehensively works out price index.In view of the possibility and the cost equal angles thereof that obtain statistics are considered, a kind of method before we have mainly adopted on the form of calculation of indexing has been used the principle of two kinds of methods simultaneously in the calculating of index weight.

Claims (5)

1. index calculation method based on dynamic sample; It is characterized in that: some the main product sales data that this Index for Calculation is chosen under current this classification based on the product of certain classification is calculated; With the data of the report period main product that calculates a certain classification and the ratio of the data in base period, its index calculation method key step comprises:
1), data acquisition, be main through taking with artificial image data, be auxilliary with the tax invoice data with online electronic market business transaction data;
2), the garbled data sample, according to the data of being gathered for each issue, each makes a report on individuality down to filter out each classification, sales volume is maximum, the most representative main product data;
3), calculate the price of level classification of the end, each of this classification made a report on total pin volume that individual average price equals this classification and multiply by this again divided by total sales volume and make a report on individual weight, all prices of making a report on individual this classification sued for peace again;
4), the price index of level classification of the end calculates, i.e. the class price in class price/base period of its report period;
5), calculate higher level's product price index, be its price index of all sub levels fixed weight summation of multiply by the sub level product down;
6), calculate the composite price index, the weight that multiply by each department with higher level's price index of each department draws the composite price index.
2. the index calculation method based on dynamic sample according to claim 1 is characterized in that: in step 3), according to sales volume, sales volume, data such as profit draw sales volume, sales volume, the profit of level classification of the end.
3. the index calculation method based on dynamic sample according to claim 2 is characterized in that: the sales volume index, the sales volume exponential sum profit index that calculate end level classification according to sales volume, sales volume, the profit of level classification of the said end.
4. the index calculation method based on dynamic sample according to claim 1 is characterized in that: in step 5), sales volume, sales volume and profit according to classification at different levels calculate the sales volume index, sales volume exponential sum profit index.
5. the index calculation method based on dynamic sample according to claim 1 is characterized in that: in step 6), according to comprehensive sales volume, comprehensive sales volume and comprehensive profit, calculate comprehensive sales volume index, the comprehensive sales volume exponential sum index of comprehensively getting a profit.
CN2012101309865A 2012-04-28 2012-04-28 Index calculating method based on dynamic sample Pending CN102708492A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104715398A (en) * 2015-03-24 2015-06-17 江苏物联网研究发展中心 China chemical fertilizer price index number system based on . NET platform
CN104751346A (en) * 2013-12-31 2015-07-01 康美药业股份有限公司 Price index generating method and system of traditional Chinese medicinal materials
CN104809617A (en) * 2014-01-24 2015-07-29 康美药业股份有限公司 Traditional Chinese medicinal material price data detection method and system
CN109726921A (en) * 2018-12-29 2019-05-07 航天信息股份有限公司 Obtain method, apparatus, medium and the equipment of producer price index

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104751346A (en) * 2013-12-31 2015-07-01 康美药业股份有限公司 Price index generating method and system of traditional Chinese medicinal materials
CN104809617A (en) * 2014-01-24 2015-07-29 康美药业股份有限公司 Traditional Chinese medicinal material price data detection method and system
CN104715398A (en) * 2015-03-24 2015-06-17 江苏物联网研究发展中心 China chemical fertilizer price index number system based on . NET platform
CN109726921A (en) * 2018-12-29 2019-05-07 航天信息股份有限公司 Obtain method, apparatus, medium and the equipment of producer price index

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