Information effects on inter-day volatility

Risk management is an integral part of financial market management. The dynamic nature of the financial market, and financial variables in particular, is evidenced by the empirical data which demonstrates that financial variables typically have a non-normal distribution. The contention of this book is to demonstrate whether the normality assumption inherent in the value at risk (VaR) measurement leads to flawed risk measurement outcomes. To help determine this, a comparative analysis between the conventional VaR method and a moment corrections method (MCM) was undertaken to assess the information effects of inter-day volatility on selected financial variables. The book then concludes by recommending which of these two approaches is more suited to identifying and thus, controlling for, risk in the financial markets.

Autorentext

Riccardo Natoli: B.A., B.Bus (Hons)., PhD is a Senior Lecturer at the College of Business at Victoria University where he teaches finance and applied statistics.