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This paper researches into estimation of corporate expected returns and earnings at risk (EaR). We propose a three-step statistical methodology for the expected returns and EaR estimation and make a case study of PetroChina Company Limited (PetroChina). The estimating results show that this methodology is both efficient and effective even though the economic environment of 2008 is so dramatically...
Support vector machine is a new machine learning technology based on statistics and structural risk minimization principal. An analysis method for the quantity and price of Shanghai license plate auction is proposed in this paper. A quantity-price model is given by using support vector machine. The simulation result shows that the proposed model has better modeling capability for the relationship...
A risk assessment model (RAM) is necessary to avoid the limitations associated with a simplistic and broad classification of applicants into a "good" or "bad" category. The absence of appropriate weights in the current evaluation system triggers the need for the development of the comprehensive model based on proven statistical application. Literature survey undertaken brought...
Aiming at the risks of the real estate appraisal methods of subjectivity, easy handling high dimensional data, Projection Pursuit technique is proposed risk evaluation of real estate to reduce the dimension. And using the PSO algorithm to optimize the projection index function to establish the Projection Pursuit of Real Estate Risk Assessment Model witch is based on PSO. The model is high of objectivity...
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