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Mathematical and Statistical Analytical Service for Business and Economics

 

  1. For a business to be competitive and successful some optimal decisions should be made. For this purpose, it is necessary to assess risks, analyse statistical data and predict.

 

               A few examples regarding forecast  and risks assessments:

  1. A head of a company may be interested in the relationship between advertising expenditures and sales revenues, so to predict how much the head of the company have to pay for advertising to receive a certain amount of desired income. Further, some other factors may be in relationship with the sales and have an impact on it, for example prices and so on. These relationships are to be determined by mathematical parameters and models.

 

  1. A head of pharmacy chain may be interested in demand for specific medicine at different prices. Also an entrepreneur, a head of shop, a manager of a petrol station and so on, may be interested in demand for specific product at different prices. In these cases we make mathematical demand functions to predict demand.

 

  1. A head of a company having in mind the company’s previous stock prices may want to know what is the probability that the company will have the stock prices higher, lower or within the certain prices and so on.

 

  1. Where a bank is developing a new product, a manager of the bank may be interested to which particular group of clients he should offer the new product, or to which particular group he should issue a credit provided that the CEO of the bank is asking for a certain probability factor of the sales.

 

 

  1. A manager of a bank may be interested whether the deposit accounts of branches of the bank are the same as compared to each other or to previous periods.

 

  1. A manager of a bank may be interested in the probability percentage of a debt liability of a client with good scores would be more or less or within of a certain amount taking into account the renewals of deposit accounts and payments by the client.

 

 

 

 

n-1.  A manager of a retail store may be interested in the trend of sales by seasons, or in the  

         probability of what number of clients entering the store would buy things and so on.

 

 

  1. A manager of a petrol station may want to know the probability of what number of cars would

      drive to the petrol station in a certain period and so on.

 

  1. For an enterprise to be profit-maximising and competitive, it is important to analyse, predict costs and profits, to determine profit maximizing level of output, and to optimize.

 

  1. Economic policy decisions and changes give rise to other related qualitative and quantitative changes. The analysis of these changes is important for the optimal decision making.

 

  1. In Economics, a concrete economic event often has two opposing effects on a result at the same time, accordingly two opposing results. The final result obtained depends on which effect is the stronger. Evaluation of the strength of the effect, accordingly right qualitative analysis in this case is impossible without quantitative analysis.

 

  1. In Economics, an economic dynamic development often needs to be analysed. There should be found the equilibrium points, values in different time periods, convergence, divergence against these points are to be determined and the dynamic stability is to be analysed.

 

 

The Company offers following services:

  1. Tabular and Graphical Presentations of Statistical Data
  2. Statistical Data Analysis
  3. Risks Assessment
  4. Experimental Analysis
  5. Mathematical Modell, Function Building. Prediction
  6. Time Series Analysis and Forecasting
  7. Quality Control Statistical Methods
  8. Decision Analysis
  9. Statistical Data Analysis for Marketing Researches
  10. Mathematical Programming, Optimization problem solution
  11. Cost, Profit Functions Building
  12. Profit Maximisation in Perfect Competition, in Monopoly. Price, Output Optimization
  13. Mathematical Dynamic Economic Model Building, Analysis and Prediction of Dynamic Stability
  14. Micro-, Macroeconomic Quantitative Analysis and Prediction

 

 

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