Neil Shephard has brought together a set of classic and central papers that have contributed to our understanding of financial volatility. They cover stocks, bonds and currencies and range from 1973 up to 2001. Shephard, a leading researcher in the field, provides a substantial introduction in which he discusses all major issues involved.
About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading...
Neil Shephard is Professor of Economics and Official Fellow in Economics, Nuffield College, at the University of Oxford. He has also taught at the London School of Economics. He has published widely, is on the Editorial Board of the Review of Economic Studies, and is Associate Editor of
Econometrica.
This volume represents an invaluable surveyon the state-of-the-art of SV modelling in finance. Quite simply, this volume is a must-have for anyone dealing with volatility modelling * Giuseppe Cavaliere, The Economic Journal *
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Paperback. Condition: new. Paperback. Stochastic volatility is the main concept used in the fields of financial economics and mathematical finance to deal with time-varying volatility in financial markets. This book brings together some of the main papers that have influenced the field of the econometrics of stochastic volatility, and shows that the development of this subject has been highly multidisciplinary, with results drawn from financial economics, probability theory, and econometrics, blendingto produce methods and models that have aided our understanding of the realistic pricing of options, efficient asset allocation, and accurate risk assessment. A lengthy introduction by the editorconnects the papers with the literature. Stochastic volatility is the main concept used in the fields of financial economics and mathematical finance to deal with time-varying volatility in financial markets. This book brings together some of the main papers that have influenced the field of the econometrics of stochastic volatility. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780199257201
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