This book puts forward Value-at-Risk (VaR) models based on Monte Carlo Simulation (MCS) that are integrated with two volatility representations to estimate the market risk for the non-financial sectors traded on the first board of the Malaysian stock exchange which is now known as Bursa Malaysia. Quantified at selected parameters, the reliabilities of the VaR models are tested from three different perspectives; conservatism, accuracy and efficiency. This book provides some indications of the applicability of a suitable VaR model for the sectors involved besides confirming that data and...