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Chapter 14

APPLICATION OF THE STATISTICS TO THE FINANCES

 

by josavere

Statistic is the science that deals with the harvesting, arrangement, analysis, interpretation and presentation, of data corresponding to an experiment previously planned or defined, or an accumulated historical situation in a series of data to handle.

In the application to subjects of financial nature, like in all the other fields, we must take care of the inadequate uses by use of unsuitable data, false hypotheses, erroneous relations, mathematical parciality or errors. In other words, we must use in suitable form so valuable tool for the decision making. It is required to become aware of the mathematical preparation necessary to be able to incursionar in the use of advanced models of prediction.

Concentrate now in the most common applications.

 

 

1. FINANCIAL ANALYSIS

a. Rotation of inventories: inventory speech average like the sum of the initial inventory and the end, divided by two.

b. Inventory Average = (initial inventory + final inventory)/2

This type of analysis is very deceptive specially when the business has stationary sales which force to accumulate existence to take care of the seasons. In addition the final inventory to the period bases becomes the initial inventory of the following one and so on, which takes us to the use of erroneous data (programmed for year end).

One is due to use the monthly numbers of inventory and to divide by twelve (months) to obtain an average, unless a mode appears, or that most recommendable is a medium one, which does not consider the extreme values.

a. Rotation of accounts to receive and accounts to pay: for these cases, the analysis is identical to previous and very specially for companies with stationary sales and/or special concessions for year end, very common case.

Particularly in case of accounts to receive he is much more correct to apply an indicator more dynamic than it consists of dividing the total value of the portfolio by the average daily of sales on credit and multiplied by the days of term that grants the company. Example:

Balance of accounts to receive: $900.000.000

Term of sales: 90 días

Sales of last the 90 days

90 days
= 1.000'000.000

90

Balance of accounts to receive = 112 million

Days of portfolio = Accounts to receive

112'000.000
= 900'000.000

112'000.000
= 8 days

 

b. Term average of accounts to pay: It is come from very similar way and one acquires knowledge directly with an example:

Term weighed average suppliers = 52 days

Last purchases 52 days = 104 million

Purchases average day = 104'000.000 

52 days
= 2'000.000

Balance of accounts to pay = 130 million

Days of accounts to pay = 130'000.000 

2'000.000
= 65 days

Let us observe that the days of accounts to receive and to pay calculated of the previous way represent the updated behavior more and dynamic than can be obtained using the statistic correctly.

 

 

2. FORECASTS

Let us remember that while greater is the utility expectation, greater it will be the risk than is arranged to run the investor. When speech of investments of variable rent, as its name indicates it, we do not have certainty of a yield and therefore one is due to consider, running the risk of I calculate by the difficulties practical to predict future income.

Very commonly economic scenes with categories are defined of:

  • Situation of crisis
  • Growth mediun
  • Stop grow

To which one assigns occurrence probabilities to them. How a probability to a process can be assigned that is not random.

When we threw a currency to the air we have the certainty that falls expensive or seal and therefore we can assign occurrence probabilities. The economic phenomena obey to a series of variables whose study governmental character organizations of and other of deprived character are dedicated to specialized, using the indicators adapted for each case.

To the industralists and executives it corresponds to analyze the predictions of general type carefully, to see if they deserve credibility and to complement with his own judgment. Comparing different sources of intelligence and verifying results they are possible to be constructing indicating of credibility that give to objective criteria for their use.

 

 

3. MATRIX OF GROWTH SECTORIAL (josavere)

Each company must construct a matrix of sectorial growth, considering the sectors with those who interact and the perspective that glimpse the specialists in the subject to foretell the macroeconomic expectations.

Once the company elaborates the matrix of josavere or sectorial growth, must enter to look for the applicable economic indicators for its particular situation using the analysis of multiple correlation.

So far let us of the construction of the matrix of sectorial growth. Steps to follow:

1. To carefully select the sectors with those who we interacted in the economy.

2. With base in the calculated projections we transcribed the indicators.

3. We establish the percentage participation of the sales in each sector (with base in recent statistics).

4. Using Excel, we calculated the weighed average.

Example: Marcela company interacts with the sectors that acquire knowledge in the matrix.

Sector Participation % in the Sectors Po Year Sector Perspective of Growth P1 Year Weighed growth P1 Year
*Warehouses of chain 10 8 80
*Fast meals and restaurants 15 12 180
*Confectioneries and chocolate factory 18 5 90
*Cakes, snack and cereals 12 7 84
*Milky 10 4 40
*Bakery and Confectioner's shop 25 12 300
*Transport of passengers 10 3 30
100 TOTAL GROWTH 8.04

Affecting the growth prospected in real terms 8,04% by the inflation perspective it gives the minimum growth us in weights that are expected in the company by effects of the economic growth. For our serious example of 8,04% * 1,09 = 8,76%, if we assumed a projected inflation of 9% for the period to elaborate.

 

 

4. PROJECTION OF SALES

The key decision is without a doubt some to formulate plans of value generation. An underestimated projection will take us to the loss.

A. MODELS ECONOMETRICS: There are  systems or more equations than describe to the relation between economic variables and series of time. It is the case of the simple linear regression that it represents the growth of the sales with the time passage. (See projections I)

y = b + (m * x)

y: Sales
b: Interception of x in y
m: Slope
x: Years (1,2,3,...n)

The multiple correlation considers with the number of variables that affect the result of the sales: (See projections II)

y = a1 x1 + a2 x2 + a3 x3 + ... an xn

Models nonlinear which are but complex and applicable in special cases (See models nonlinear)

 

B. QUALITATIVE MODELS: are used in the case of new products or when it is not had information. It consists of the use of subjective appreciation; it can be:

a. Panel of experts with well directed independent criterion and. He must take control of personnel of the company and the aid of external advisers.

b. Historical analogies using situations that are presented/displayed in the company in previous periods.

c. Investigation of markets identifying the prospectivos buyers.

Within the existing models, the industralist used his talent to choose those that more comply for their business particular.

It must complement with the criterion and the one of his work team. The models simply provide the point to begin with; to understand the statistic of another way constitutes serious error.

 

 

5.ANALISIS OF RISK

In investments we defined the risk like the possibility of change in relation to an awaited value; it can be negative or positive. Usually it is assumed that the possible yields follow a distribution normal which has the following characteristics:

It has bell form:

  • Is symmetrical in relation to the average
  • Is continuous
  • The average, medium and the mode agree
  • It is always positive (nonshort x-axis)
  • more or less has two points of flexion in s
  • It is applied to populations whose value tends to infinite

A normal distribution is characterized by the knowledge of the average and the standard deviation and in her obeys the following law of concentration of data:

a. In interval X ± 1ς is the 68,26% of all the values samples.

b. In interval X ± 2ς are 95,46% of all the values samples.

c. In interval X ± 3ς are 99,73% of all the values samples.

In statistic the dispersion (degree of amplitude of the company) with the standard deviation is moderate which mathematically is expressed like:


σ: standard deviation
xi: variable
x(average): average
px: probability of occurrence

ς is taken like one first approach of the measurement of the risk.

Coefficient of variation is equivalent to the division of the standard deviation by the average or awaited value.

CV: Coefficient of variation
ς: Standard deviation
m: Average sample

The best approach is considered to measure the risk. If two mutually excluding projects, have the same average or expected value with different standard deviation he will be but risky the one of greater deviation.

The important  is to determine if the distribution is applicable to the particular phenomenon which we are analyzing (cash flow,dividends to receive, value of the share in the market, etc.) and that with the previous values can be reasonably calculated the probability of occurrence of a phenomenon, in the measurement that its behavior follows a distribution normal. Said in other terms with an example:

If the awaited yield “mediates” is of 16% and the standard deviation of 9%, it indicates that with a 68% of probability, the yield will be between 7 and 25% (16 ± 9).

When we spoke of the measurement of the risk, using the normal distribution, we talked about to the inherent risk the investments. As the concept has much of intuitive, we say that the investor moves in an ample rank defined by:

a. Minimum risk: treasury bond of the government of the U.S.A. (low yield but completely fixes).

b. Bonds sweepings: (junk bonds) which are emitted by companies in reconstruction process (leaving a crisis). The payment of interests this subject to a positive result, reason why is an interest rate superior to the one of the market but with greater risk.

When the markets are sufficiently ample becomes the analysis beta (ß) introduced by Sharpe, which consists of finding the standard deviation of the results waited for in the market like a whole so that it serves as pattern of comparison with the beta of an action in individual. If the beta of the action is greater than the one of the market it says that the action is very volatile (risky) and vice versa.

ß share> ß market

It indicates that the share varies more than proportionally to the total variation of the market and if the relation is smaller (< 1) indicates the opposite.

Previously explained he is applicable to the unique risk of the company which commonly is called nonsystematic risk, which is diversificable. The risk of the market is not diversificable, that is to say, it cannot be eliminated.

Risk country calculates based on the security, the economic handling, the enterprise panorama, the conjunctural political situation, the labor relations, the treatment to the investment and other factors.

 

 

6. INVESTMENT DECISIONS

In finances a generalized and respected principle exists: not to place all eggs in the same basket, which in the current language is equivalent to say that one must diversify the investments.

For practical effects, the correlation coefficient constitutes the measurement tool and it calculates as it indicates in Projections I and Projections II. It is interpreted thus:

1. < r is a value between - 1 r <1

2. A value next to - 1, indicates discharge negative correlation, that is to say, that the positive results of one(s) variable one(s) imply negative results in the other(s)

3. A value next to +1 implies discharge positive correlation that is to say, that positive results of one(s) variable one(s) also imply positive results in the other or the other variables.

In the case of portafolio of investments one is to look for an optimal combination between yield and risk. See Investment Funds.

 

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