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Stochastic Volatility in Financial Markets: Crossing the Bridge to Continuous Time: 3 (Dynamic Modeling and Econometrics in Economics and Finance, 3) - Softcover

Mele, Antonio; Fornari, Fabio

 
9781461370451: Stochastic Volatility in Financial Markets: Crossing the Bridge to Continuous Time: 3 (Dynamic Modeling and Econometrics in Economics and Finance, 3)
Softcover
ISBN 10: 1461370450 ISBN 13: 9781461370451
Publisher: Springer, 2012

Synopsis

Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts. The first part aims at documenting an empirical regularity of financial price changes: the occurrence of sudden and persistent changes of financial markets volatility. This phenomenon, technically termed `stochastic volatility', or `conditional heteroskedasticity', has been well known for at least 20 years; in this part, further, useful theoretical properties of conditionally heteroskedastic models are uncovered. The second part goes beyond the statistical aspects of stochastic volatility models: it constructs and uses new fully articulated, theoretically-sounded financial asset pricing models that allow for the presence of conditional heteroskedasticity. The third part shows how the inclusion of the statistical aspects of stochastic volatility in a rigorous economic scheme can be faced from an empirical standpoint.

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About the Author

Antonio Mele holds a Senior Chair at the Swiss Finance Institute, and is a full Professor of Finance at the University of Lugano, after having been a tenured faculty at the London School of Economics & Political Science for a decade. He is also a Research Fellow for the Financial Economics program at the Centre for Economic Policy Research (CEPR) in London. He holds a PhD in Economics from the University of Paris. His academic expertise spans a variety of fields in financial economics, pertaining to capital market volatility, interest rates and credit markets, macro-finance, capital markets and business cycles, and information in securities markets. His research has been published by top journals in Finance and Economics such as the Journal of Financial Economics, the Review of Economic Studies, the Review of Financial Studies, and the Journal of Monetary Economics. His work outside academia includes developingfixed income volatility indexes for Chicago Board Options Exchange. He is the co-inventor of the CBOE Interest Rate Swap Volatility Index (CBOE-SRVX¿) - the first standardized volatility measure in the interest-rate swap market, designed to standardize and simplify swap-rate volatility trading much in the spirit of the CBOE-VIX® index in the equity market. Yoshiki Obayashi is a managing director at Applied Academics LLC in New York, specialized in developing and commercializing ideas emanating from a growing think-tank of academic researchers selected for their work's relevance to practice in the finance industry. His most recent projects range from running systematic trading strategies for funds to developing fixed income volatility indexes for Chicago Board Options Exchange. Yoshiki Obayashi previously managed US and Asian credit portfolios for a proprietary fixed-income trading group at an investment bank. He holds a PhD in Finance and Economics from Columbia Business School.

From the Back Cover

Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts. The first part aims at documenting an empirical regularity of financial price changes: the occurrence of sudden and persistent changes of financial markets volatility. This phenomenon, technically termed `stochastic volatility', or `conditional heteroskedasticity', has been well known for at least 20 years; in this part, further, useful theoretical properties of conditionally heteroskedastic models are uncovered. The second part goes beyond the statistical aspects of stochastic volatility models: it constructs and uses new fully articulated, theoretically-sounded financial asset pricing models that allow for the presence of conditional heteroskedasticity. The third part shows how the inclusion of the statistical aspects of stochastic volatility in a rigorous economic scheme can be faced from an empirical standpoint.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2012
Language
English
ISBN 10 
1461370450
ISBN 13 
9781461370451
Binding
Paperback
Number of pages
147