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  • © Copyright Øåìåòåâ Àëåêñàíäð Àëåêñàíäðîâè÷ (anticrisis2010@mail.ru)
  • Îáíîâëåíî: 23/12/2011. 300k. Ñòàòèñòèêà.
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    Histogram: Return on assets of companies by sector Alexander Shemetev
    a1.jpg:780x507, 106k

    Histogram: the industry average ratio of business activity of the average industry company in crisis conditions in 2009/2010, times per year Alexander Shemetev
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    Histogram: the industry average ratio of revenue to equity in an average company in sectors in 2009/2010, times per year Alexander Shemetev
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    Histogram: average in industries accounts receivable turnover term, expressed in days per year, 2009/2010 Alexander Shemetev
    a13.jpg:776x491, 134k

    Histogram: average in industries accounts payable turnover term, expressed in days, 2009/2010 Alexander Shemetev
    a14.jpg:784x491, 126k

    Histogram: average in industries total assets’ (company’s book value’s) turnover term, expressed in days, 2009/2010 Alexander Shemetev
    a15.jpg:778x482, 138k

    Histogram: the industry average ratio of operating profit to costs, 2009/2010, % Alexander Shemetev
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    Histogram: the industry average current liquidity ratio, 2009/2010 Alexander Shemetev
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    Histogram: the industry average acid-test ratio, 2009/2010 Alexander Shemetev
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    Histogram: the industry average owned funds sufficiency ratio, 2009/2010 Alexander Shemetev
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    Histogram: Return on sales of companies by sector Alexander Shemetev
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    Histogram: the industry average ratio of fixed assets in equity, 2009/2010 Alexander Shemetev
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    Histogram: A 21 of medium-sized company sector, 2009/2010 Alexander Shemetev
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    Histogram: remade by Alexander Shemetev formula: A21a for medium-sized company of a sector, 2009/2010 Alexander Shemetev
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    Histogram: a medium-sized company by sector in terms of developed by Alexander Shemetev’s A21p indicator, 2009/2010 Alexander Shemetev
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    Histogram: The ratio of net working capital to total assets for medium-sized company by sector, 2009/2010 Alexander Shemetev
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    Histogram: The index of the bankruptcy risk of the industry average company, 2009/2010 Alexander Shemetev
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    Histogram: Return on owned (equity) capital of industry-average company in 2009/2010, % Alexander Shemetev
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    Histogram: Return on debt capital of an average company in the industry in 2009/2010, % Alexander Shemetev
    a4.jpg:785x489, 121k

    Histogram: Cost-effectiveness of short-term debt of the average company in an industry in 2009/2010, % Alexander Shemetev
    a5.jpg:786x489, 112k

    Histogram: Ratio of accounts receivable and accounts payable of average companies by industries, 2009/2010, % Alexander Shemetev
    a6.jpg:790x503, 139k

    Histogram: Ratio of debt and equity in industry average company of 2009/2010, % Alexander Shemetev
    a7.jpg:782x492, 125k

    Histogram: Ratio of total debt to total assets of the industry average company in 2009/2010, % Alexander Shemetev
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    Histogram: Ratio of equity and total assets of the industry average company in 2009/2010, % Alexander Shemetev
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    Histogram: The annual average revenue growth of companies in the industry in times of crisis 2009/2010, % Alexander Shemetev
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    Table: ABC-XYZ matrix Alexander Shemetev
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    Alexander Shemetev's photo Alexander Shemetev
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    Now we should use the coefficient β of the above formula, which will transfer the activity of the analyzed company into conventional activities: such as if it worked exactly in accordance with industry standards: Alexander Shemetev
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    First, we calculate a comparable price Alexander Shemetev
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    The comparable price for curd "Normal" is: Alexander Shemetev
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    The comparable price for cottage cheese "K1" under given conditions is as follows: Alexander Shemetev
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    Another method to determine a company's competitiveness in the market is a method for determining fair value. For the curd-cheese "Snowball," this figure will be: Alexander Shemetev
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    Let’s calculate the fair value for P1: Alexander Shemetev
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    In this example, the risk for the company not to make the expected profit is: Alexander Shemetev
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    In this example, the coefficient is equal to: Alexander Shemetev
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    Let’s begin by calculating the coefficient (a) for the product P1 (A (P1)): Alexander Shemetev
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    For example, let’s calculate the correlation between the index of the engine power (EP) and prices for the products in the test segment (b (EP)): Alexander Shemetev
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    Specified above analysis is the basis of adequate scoring in order to bring non-price performance relative to a comparable value, which would include all the important factors in the market segment, including price. Let’s define the coefficient (c): Alexander Shemetev
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    Now let’s calculate the monetary value for the effect of the use of leadership strategies on costs: Alexander Shemetev
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    Then the rise in its market segment by the end of 2012 will be: Alexander Shemetev
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    Let’s find the index of Discount: Alexander Shemetev
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    I should say that we know of only 0.27% of weight in the market. As you remember, the formula uses the very cost of market segment, that is, the cost (weight) of 100% of the market. The company forgot to specify it, and it is easy to calculate the proportion of it (509): Alexander Shemetev
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    We can now find the true proportion of the market in 2011: Alexander Shemetev
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    First you need to find the index of discount (we have it 1.243). Then we should find a proportion: Alexander Shemetev
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    We should now find the value of correction factor in the micro-segment, Ar: Alexander Shemetev
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    MicDy – is the market share, calculated at the rate per one year. Alexander Shemetev
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    For our example, the share of other companies in the market segment is in absolute values: Alexander Shemetev
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    If you do not have these opportunities, you can do it roughly, approximately, at your discretion. In our case this value will be: Alexander Shemetev
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    For our company, the shares they occupy in the sub-segment of the consumer market’s micro-segment are: Alexander Shemetev
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    The overall effect of the application of leadership strategies based on the costs for Co Ltd "Kama" is: Alexander Shemetev
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    In our example, this value is: Alexander Shemetev
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    In our example, this value is: Alexander Shemetev
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    Let us, together with you, calculate the other comparable figure of the effect: Alexander Shemetev
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    You should also calculate other performance indicators for company at the market: Alexander Shemetev
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    You should also calculate other performance indicators for company at the market: Alexander Shemetev
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    Let us compute the external effects of its operation at the market: Alexander Shemetev
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    It should also be evaluated other performance indicators for business systems on the market: Alexander Shemetev
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    You should also calculate other indicators: Alexander Shemetev
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    The resulting model’s indicator is the coefficient (g), which calculation is presented above in this paper. In terms of the above factors, figure (g) for the i-th company in the market segment will be calculated by the formula: Alexander Shemetev
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    The New Market was opened after the transition to a market economy; the segmentation of this New Market was a term nobody thought about. Instead of this, companies, usually, used a simple calculation model: cost + standard of profitability, which can be expressed in the following formula (1) Alexander Shemetev
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    The overall effectiveness of the company at the market will be calculated by the formula (10): Alexander Shemetev
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    You can use the following indicator developed by the author of this paper to find a relative measure of company’s performance at the market (we have already counted an absolute indicator of efficiency), which shows the extent to which the average analyzed company can be successfully compared with its competitors (11): Alexander Shemetev
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    Also, all the elements of material costs should be compared with industry averages, which would have the following simple algorithm. To calculate the efficiency of the total cost you should use the next formulas, developed by the author of this paper: Alexander Shemetev
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    Also, all the elements of material costs should be compared with industry averages, which would have the following simple algorithm. To calculate the efficiency of the total cost you should use the next formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of material costs will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of material costs will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of contributions on wages of production workers (payroll) will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of contributions on wages of production workers (payroll) will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
    f17.jpg:273x30, 5k

    Indicator of the effect of social security contributions should be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of social security contributions should be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    There was also a scientific and a rarely used in practice model to determine the optimal price of the goods. It was associated with so-called variable costs. In summary it can be expressed as follows (2) Alexander Shemetev
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    Indicator of the effect of depreciation should be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of depreciation should be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of other payments will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    Indicator of the effect of other payments will be calculated by the formulas, developed by the author of this paper: Alexander Shemetev
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    The total external / market / effect of the use of cost leadership strategy for domestic companies is (25): Alexander Shemetev
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    The overall effect of accounts receivables and payables management policy is directly related to the maximization of sales: Alexander Shemetev
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    Along with the overall effect, it should be calculated also the private effect of applying by a company this strategy of leadership in cost for each indicator. In terms of total asset turnover it is calculated in the following way: Alexander Shemetev
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    In terms of OC(Eq) turnover, effect is as follows: Alexander Shemetev
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    In terms of TL turnover, the effect is: Alexander Shemetev
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    With the advent of market economy, the market began to saturate gradually. Then, gradually became more popular following type of calculation of the total price of the product (3) Alexander Shemetev
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    The comparable price for a unit of conventional product (ComP), a member of the company's product line is: Alexander Shemetev
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    Fair price (FP) for conventional production units will be assessed as follows: Alexander Shemetev
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    There is a more demonstrable way to represent the volume of segment of the market by company's competitiveness index at the market. For these purposes, the fair or comparable price for the main line of each type of product (it can be chosen the most competitive product on each line) should be transformed according to the following formula, developed by the author of this paper: Alexander Shemetev
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    A fair price for the product line (FPi) is: Alexander Shemetev
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    The transformation takes place in accordance with the formula, developed by the author of this paper: Alexander Shemetev
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    The general view of the definition of competitiveness at the market can be described as follows by this method: Alexander Shemetev
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    Or: Alexander Shemetev
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    To determine the author's model, you, my dear reader, should be familiar with the concept of correlation. Correlation (r) - is the mathematically expressed linear relationship between two variables. It is calculated by the formula: Sir Francis Galton
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    It should be noted that: Sir Francis Galton
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    This is how the calculation of the mathematical expectation looks like, the mathematical expectation of likely average yield at the market (AY(PI) – Average Yield and Probable Income): Blaise Pascal
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    The price of a new product introduction for such companies is: Alexander Shemetev
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    If the value of standard deviation ( ) is divided by the probability the most probable revenue margin, we shall obtain a coefficient of variation: Sir Francis Galton
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    The general mathematical form of the sum of comparable scores reflecting the company's competitiveness in the market and the prospects for change in its position within the market segment (gi) are expressed by the following formula, developed by the author of this paper (41): Alexander Shemetev
    f41.jpg:534x87, 11k

    Coefficient (a) expresses the amount of non-price factors of some company at the market, taking into account the mathematical discrimination; it is calculated as follows (by the formula, developed by the author of this paper): Alexander Shemetev
    f42.jpg:156x75, 3k

    After the calculation of this coefficient, you, my dear reader, should perform a calculation of the coefficient b, which expresses the relationship between the market-adequate estimation of every important parameter included in the model with respect to the perception of price by consumer (b ratio methodology is also developed by the author of this paper) (43): Alexander Shemetev
    f43.jpg:560x164, 22k

    The third step is to calculate the coefficient (c), which shows the average dependence per a single average score factor for a company in the market from price changes (P). It is calculated as follows for the i-th company in the market segment (by the formula, developed by the author of this paper): Alexander Shemetev
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    The following coefficient d aligns all commodities and products in the analyzed segment of the market under the reference of the best consumer features, combined with the price of goods. This operation is carried out by a simple transformation: Alexander Shemetev
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    If you, my dear reader, subtract the indicator (di) of 1 (1 – di), we obtain the indicator (e), which expresses the deviation of consumer-relevant properties of the product – relative to the price of that state as if the i-th product in the market would have a benchmark performance for optimal price-performance ratio : Alexander Shemetev
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    Then, on the basis of the available properties and characteristics of the product, it is calculated reference price for the i-th product (f), which optimally combines the available relevant to the consumer characteristics of goods and brings them to the point of optimal price: Alexander Shemetev
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    Further, it should be calculated next: the amount of calculated price deviation of i-th product in the market segment from the reference price for the i-th product: Alexander Shemetev
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    The next coefficient (h) is the actual deviation for the product from the standard, expressed as a percentage: Alexander Shemetev
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    Multiplicative expression of common percentage (MEC) is estimated by a simple formula Alexander Shemetev
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    The coefficient (i) virtually completes the analysis of a company's competitiveness in the market segment, and it assesses company’s occupied segment. This indicator points to how much the average score deviates from the reference price listed: Alexander Shemetev
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    Dear reader, I’d like to make the further numeration of my formulas like in my Russian book, if you have nothing against it – let the next formula to be 502 and so on. Alexander Shemetev
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    However, as you, my dear reader, remember, the loan process does not describe the whole structure of negative cash flow coming from, or, actually, to "third parties". In order to evaluate the fact, how many days a year a company is working on others, the author of this paper, Alexander Shemetev, developed the following formula. The formula describes: how many days in maximum company works “for the others”: Alexander Shemetev
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    It should be noted that the author of this paper, Alexander Shemetev, believes it is more rational to define the current fiscal deficit of a bit different conditional ratio for a single company (rather than the industry average for companies). The author of this paper, Alexander Shemetev, modified the formula to calculate the deficit in the next way: Alexander Shemetev
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    It can be calculated on a formula developed by the author of this paper, Alexander Shemetev: Alexander Shemetev
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    Use the following formula developed by the author of this paper: Alexander Shemetev
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    Then, multiply the value by the inverse of the discount index (DI). The index of the discount (DI) is calculated by a formula developed by the author of this paper: Alexander Shemetev
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    Then you should multiply the resulting amount you have on the overall MacDy discount index (DI) as shown in the formula below, developed by the author of this paper: Alexander Shemetev
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    The resulting model’s indicator is the coefficient (g), which calculation is presented above in this paper. In terms of the above factors, figure (g) for the i-th company in the market segment will be calculated by the formula: Alexander Shemetev
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    This should be done as shown in the following formula developed by the author of this paper (510) (calculated per 1 million inhabitants): Alexander Shemetev
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    Let your local Population is (P) residents. The number of P can be 100 people, it may be 1000, it may be 2 million, and so on. In order to determine the total capacity of the market in your area, you need to multiply all the obtained figures by the segments correction coefficient, which is calculated by a formula developed by the author of this paper: Alexander Shemetev
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    In order to calculate your share of the market or any other company’s share of the market in this micro-segment, you must use the below formula developed by Alexander Shemetev: Alexander Shemetev
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    To do this, you can also use a formula developed by the author of this paper: Alexander Shemetev
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     Then multiply the resulting amount you have on the overall MicDy discount index (DI) as shown in the formula developed by the author of this paper: Alexander Shemetev
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    Let us now forecast the share of each company in the market, using the following formula developed by the author of this paper: Alexander Shemetev
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    Full market share at the end of 2012 is (516): Alexander Shemetev
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    Then the formula 515, on which we counted our company – can be written in a simpler form: Alexander Shemetev
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    The share occupied by other companies in this market micro-segment in relative values is: Alexander Shemetev
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    The share of the market’s micro-segment of other companies in absolute terms is unaccounted for: Alexander Shemetev
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    So, let’s go back to our example. Our sub-segments is only 2.5% of total micro-segment of market of food products in the region of 2.5 million inhabitants. Then, let’s apply the formula, developed by the author of this paper: Alexander Shemetev
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    That is, it is that part of the market, where the main competition is. Our company is constantly fighting for the distribution of 51.7 million USD profit in its sub-segment. Then the market share will be calculated from the formula, developed by the author of this paper: Alexander Shemetev
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    So, these are the shares of the major players inside this market sub-segment. The total amount of sub-segment’s shares which are not busy by other competitors are (they are calculated by the formulas developed by the author of this paper): In relative values: Alexander Shemetev
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    Absolute values for calculating the overall market share of other firms are calculated using the formula developed by the author of this paper: Alexander Shemetev
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    However, this does not mean that all products should be introduced, whose P(NP) will be maximum, as well as the set I(NP) parameter. It should be remembered that the basis for the development strategy of this type for companies should be: Alexander Shemetev
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    The value of industry average costs by cost components for individual companies within the industry is calculated as follows: Alexander Shemetev
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    K – is the conversion coefficient of revenue to thousands of rubles, which is calculated by the formula: Alexander Shemetev
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    Effect /which is a conditional, not actual value; and its need will be explained at an example! / from the application of the strategy will be calculated by the formula developed by the author of this paper (9): Alexander Shemetev
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    Typographic sign
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    Histogram: The book value of an average company in an industry, thousand rubles Alexander Shemetev
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    Histogram: The volume of the average company’s revenue by industry, thousand rubles Alexander Shemetev
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    Multi-sectoral diagram of bifurcation shifts in the branches of Russian economy Alexander Shemetev
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    Histogram: average return on assets of the company by industry, % Alexander Shemetev
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    Histogram: The average payback period of investment to company by industry, years Alexander Shemetev
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    Chart: Ownership of Companies in Russia Alexander Shemetev
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    Arachnoid diagram: the concentration of competition in the Russian market by sector (by number of companies in each industry, pcs.) Alexander Shemetev
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    this are the standard deviations, which show the total amount on which the parameters will be rejected (not to repeat the word “deviated”) by average measure Sir Francis Galton
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    Alexander Shemetev
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    Alexander Shemetev
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    Alexander Shemetev
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    Alexander Shemetev
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    Alexander Shemetev
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    Standard deviation sign Sir Francis Galton
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    lit3.jpg:63x26, 1k

    Alexander Shemetev
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    Alexander Shemetev
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    Alexander Shemetev
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    Alexander Shemetev
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    Scheme: Average structure of the total value of the tax base by sector from 2000 to 2010 Alexander Shemetev
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    Graph: Histogram of the structural changes of industries in terms of a structural shift of the tax base on data from 2003 and 2010 Alexander Shemetev
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    Histogram: the industry average ratio of revenue and debt capital of average in industry company in the middle of a crisis, 2009/2010, times per year Alexander Shemetev
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    Scheme: the Alexander Shemetev’s method: company’s segmentation at market Alexander Shemetev
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    Arachnoid Chart: Competitiveness of the company "Ugra" in the market, determined by the method of comparable rates Alexander Shemetev
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    Histogram: The share of loss-making companies in the industries of Russia in percentage of the total number of firms, 2008 Alexander Shemetev
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    Histogram: The share of loss-making companies in the industries of the Russian Federation in a percentage of the total number of companies, 2009/2010 Alexander Shemetev
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    Arachnoid sector chart: Competitiveness of the company "Ugra" at market, defined by the fair price Alexander Shemetev
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    Arachnoid-sector chart: Competitiveness of JSC "NTAZ" at market, defined by the fair price Alexander Shemetev
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    Segmental arachnoid diagram: Competitiveness in the market segment by Alexander Shemetev’s regression analysis (a-g) Alexander Shemetev
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    The sex-and age-grading of the population in Russia in 2008 Alexander Shemetev
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    The sex-and age-grading of the population in Russia in 2010 Alexander Shemetev
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    The level of education in Russia Alexander Shemetev
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    Histogram: Average personal luxury accessories in the Russian Federation in 2010, pieces Alexander Shemetev
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    Table: Segmental matrix system of industry average cost Alexander Shemetev
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    Table: Competitive characteristics of the lines of "NTAZ" at the market Alexander Shemetev
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    Table: Competitive characteristics of the lines of "NTAZ" at the market Alexander Shemetev
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    Table: Values of the indicator (a) at the analyzed market, scores Alexander Shemetev
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    Table: Values of the indicator (a) at the analyzed market, scores Alexander Shemetev
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    Table: Values of indicator (b) in the analyzed market segment Alexander Shemetev
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    Table: Values of coefficient (c) in the analyzed market segment, scores Alexander Shemetev
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    Table: Values of (d - g) in the analyzed market score Alexander Shemetev
    t16.jpg:570x148, 52k

    The author of this paper has made an emphasis on the analysis of passives of companies which function in a certain industry, realizing that they perform the structure of price of companies’ functioning at the market. The asset structure was calculated by the author of this paper based upon linear approximation of the industry (except for the performance of receivables). Alexander Shemetev
    t17.jpg:769x295, 161k

    The author of this paper has made an emphasis on the analysis of passives of companies which function in a certain industry, realizing that they perform the structure of price of companies’ functioning at the market. The asset structure was calculated by the author of this paper based upon linear approximation of the industry (except for the performance of receivables). Alexander Shemetev
    t18.jpg:777x114, 39k

    Along with quantitative data on the macro-segmentation of the market, the author of this paper, Alexander Shemetev, has calculated and key quality measures. Alexander Shemetev
    t19.jpg:690x513, 232k

    Segmental matrix system of the turnover of capital of Russian companies in average in the industry Alexander Shemetev
    t2.jpg:548x142, 48k

    Table: gender and age grading of the Russian population as a whole for 2010 Alexander Shemetev
    t22.jpg:557x222, 51k

    Table: Distribution of the Russian population by educational attainment in 2010, thousands of people Alexander Shemetev
    t24.jpg:533x465, 113k

    Table: Average wage of an average worker in the industry, according to the study of 97.6% of Russian companies in the industry in 2010, USD ($) Alexander Shemetev
    t25.jpg:494x208, 39k

    Table: Estimated characteristics of the curds at the market Alexander Shemetev
    t3.jpg:523x265, 50k

    An important indicator of insolvency is a loss-making of company, that is, the inability of companies to generate net profit from their activities. The following is an integral matrix system of the industry average performance of loss-making companies by branches of the Russian Federation. Alexander Shemetev
    t34.jpg:549x273, 96k

    Table: Estimated characteristics of the milk at market Alexander Shemetev
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    Table: Competitive characteristics of the milk at market Alexander Shemetev
    t5.jpg:481x249, 53k

    So, if we transform the competitiveness indicators of the "Ugra" company in accordance with the above formula, we obtain: Alexander Shemetev
    t6.jpg:493x295, 61k

    Table: Competitive characteristics of the lines of "NTAZ" at the market Alexander Shemetev
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    Table: Qualitative characteristics of the lines of "NTAZ" at the market Alexander Shemetev
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    Table: The competitiveness of the company "NTAZ" defined by the fair price in relation to the reference product at the market Alexander Shemetev
    t9.jpg:492x62, 16k

    Table: gender and age grading of the Russian population as a whole for 2008 Alexander Shemetev
    w1.jpg:663x379, 79k

    Table: Distribution of the Russian population by educational attainment in 2002, thousands of people Alexander Shemetev
    w2.jpg:636x355, 68k

    Table: Marriages and divorces in Russia for the period from 1970 to 2007 Alexander Shemetev
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    MACD: The segmentation of the consumer market in Russia in 2010. (In terms of total cash flow per 1 month) Alexander Shemetev
    w4.jpg:1014x1016, 208k

    MICD: The segmentation of the consumer market in Russia in 2010. Averaged across Russia to the conditioned area of 1 million inhabitants (In terms of total cash flow for 1 month) Alexander Shemetev
    w5.jpg:1014x1002, 192k

    First you need to find the index of discount (we have it 1.243). Then we should find a proportion: Alexander Shemetev
    w6.jpg:395x170, 13k

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