Synthesis, Quantitative ex-post and ex-ante Determinations and Stochastic Variables in Economia Aziendale. The Equations of Lino Azzini and Carlo Masini. Further Methodological Developments.

The work aims to develop the potential contained in the equations of Lino Azzini and Carlo Masini with the reference to the complementary themes of planning, programming, perspectives and business control, both executive and financial, from a strategic point of view. With the use of a suitable set of symbols, it is intended to further develop the investigation of ex-post determinations and in particular budgetary determinations through business simulation algorithms. The emphasis is on estimated quantities, conjectured quantities, determined systematically together with “economic quantitaties”. This system of values, integrated with non-monetary quantities and “qualities” feeds into the general information system of the company, which it is intended to analyse with particular reference to budgetary determinations of exercise (periodic) income, balance sheet capital and economic capital. The determination of economic capital through the discounting of future incomes, especially using the formula for capitalizing the company’s long-term income capacity with an expected rate of remuneration, a rate of income (rate of return), is inherent in Economia Aziendale logic, as it reflects temporal cohesion across financial years and spatial cohesion across the various production processes. Such a corporate economic logic has been explored by Prof. Vittorio Coda in his contributions to the determination of corporate economic capital. A central point of the research is the clarification of the periodic syntheses of estimated quantities and conjectured quantites through random variables already incorporated into the equations of Lino Azzini and Carlo Masini, now in an improved stochastic symbology. This improved formulation makes opeartional application possible, using advanced business softwares, in order to solve concrete business problems