Risk In Banking Activities And Its Quantitative Determination

Abstract

The volatility becomes a constantly characteristic of the present economic environment. Considering those circumstances, the decisions are affected by risks in an expanding capacity. Since the management decisions are typically taken on the basis of incomplete information, based on some partial data and in conditions of uncertainty, these are associated with errors. Because the risk is regarded as a probability, therefore it is worth to investigate the nature of what is called the statistical risk. It plays an important role in the framework of statistical inference. The statistical feature of the decisional area determines that the error’s probabilistic measurement to be made by the risks. In this paper there are depicted and adjusted the risks, such as Type I, Type II and Type III. The variance resulting from measurement error becomes noise and thus it could decrease the power level. To be more specific, since a high degree of measurement error hinders the condition of the variable from being correctly indicated, it drags down the possibility of correctly detecting the effect under study. Those risk types are affecting the alternative hypotheses of the decision making processes and also the Taguchi risk and the potential index of a process.