A Practical Guide to Forecasting Financial Market Volatility (The Wiley Finance Series) - Hardcover

Über die Autorin bzw. den Autor

About the author

Dr SER-HUANG POON was promoted to Professor of Finance at Manchester University in 2003. Prior to that, she was a senior lecturer at Strathclyde University.

Ser-Huang graduated from the National University of Singapore and obtained her masters and PhD from Lancaster University, UK. She has researched financial market volatility for many years and has published in many top ranking peer reviewed finance and financial econometric journals with many co-authors from around the world. Her financial market volatility work was cited as a reference reading on the Nobel web site in 2003.

Von der hinteren Coverseite

A Practical guide to forecasting financial market volatility

Ser-Huang Poon

Volatility forecasting is crucial for option pricing, risk management and portfolio management. This book gives clear and practical guidance on how to model and forecast volatility using only volatility models that have been tested for their forecasting performance. The book focuses on describing, evaluating and comparing research in volatility forecasting and provides some background on volatility definition, estimation and some principles on forecasts evaluation. The book covers both time series econometric volatility models and implied volatilit models based on Black-Scholes and continuous time stochastic volatility option pricing models.

“The present book by Professor Ser-Huang Poon surveys this literature carefully and provides a very useful summary of the results available. By so doing, she allows any interested worker to quickly catch up with the field and also to discover the areas that are still available for further exploration.
Sir Clive W. J. Granger, University of California in San Diego

“Professor Poon exposes in her book current state-of-the-art volatility forecasting methods. Beginning with a description of various conditional volatility models, be it dicrete or continuous, the link with option pricing models is well established. The book proceeds with surveying the current volatility literature: what type of volatility should be used to price options, how can volatility of various assets be predicted, how volatility can be used within a value-at-risk setting. This well written book should be useful both for the practitioner and the academic/student interested in volatility.
Professor Michael Rockinger, FAME and University of Lausanne, Switzerland

Aus dem Klappentext

A Practical guide to forecasting financial market volatility

Ser-Huang Poon

Volatility forecasting is crucial for option pricing, risk management and portfolio management. This book gives clear and practical guidance on how to model and forecast volatility using only volatility models that have been tested for their forecasting performance. The book focuses on describing, evaluating and comparing research in volatility forecasting and provides some background on volatility definition, estimation and some principles on forecasts evaluation. The book covers both time series econometric volatility models and implied volatilit models based on Black-Scholes and continuous time stochastic volatility option pricing models.

“The present book by Professor Ser-Huang Poon surveys this literature carefully and provides a very useful summary of the results available. By so doing, she allows any interested worker to quickly catch up with the field and also to discover the areas that are still available for further exploration.
Sir Clive W. J. Granger, University of California in San Diego

“Professor Poon exposes in her book current state-of-the-art volatility forecasting methods. Beginning with a description of various conditional volatility models, be it dicrete or continuous, the link with option pricing models is well established. The book proceeds with surveying the current volatility literature: what type of volatility should be used to price options, how can volatility of various assets be predicted, how volatility can be used within a value-at-risk setting. This well written book should be useful both for the practitioner and the academic/student interested in volatility.
Professor Michael Rockinger, FAME and University of Lausanne, Switzerland