An Empirical Examination Of The Relationship Between Firm's Fundamental Variables And Systematic Risk: Empirical Evidence From Malaysian Stock Market
This study investigates the relationship between the fundamentals variables and systematic risk in Bursa Malaysia formally known as KLSE. The financial and market information were collected from data stream database and other recognised website such as KLSE.com.my and reuters.com for the period January 2003 to December 2007. The relationship between seven fundamental variables including asset turnover, equity turnover, liquidity ratio, payout ratio, and firm size, debt to equity ratio, and opening profit margin and systematic risk was tested by using a multiple regression analysis.
Under Neumann or Dirichlet boundary conditions, the stability of a class of delayed impulsive Markovian jumping stochastic fuzzy p-Laplace partial differential equations (PDEs) is considered. Thanks to some methods different from those of previous literature, the difficulties brought by fuzzy stochastic mathematical model and impulsive model have been overcome. By way of the Lyapunov-Krasovskii functional, Ito formula, Dynkin formula and a differential inequality, new LMI-based global stochastic exponential stability criteria for the above-mentioned PDEs are established. Some applications of the obtained results improve some existing results on neural networks. And some numerical examples are presented to illustrate the effectiveness of the proposed method due to the significant improvement in the allowable upper bounds of time delays.