Stable Paretian Models in Finance
Language: English
Published by John Wiley & Sons, 2000
- Hardcover
- New

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pp. xviii + 855.
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- Title
- Stable Paretian Models in Finance
- Author
- S T Rachev Stefan Mittnik PhD Mittnik Stefan Svetlozar T. Rachev
- Publisher
- John Wiley & Sons
- Publication year
- 2000
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471953148
- ISBN 13
- 9780471953142
The authors reconsider the problem of parametrically specifying distribution suitable for asset-return models. They describe alternative distributions, showing how they can be estimated and applied to stock-index and exchange-rate data. The implications for options pricing are also investigated.
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About the Author
Svetlozar Rachev is Chair-Professor in the School of Economics and Business Engineering at the University of Karlsruhe, and Professor Statistics and Economics at the University of California, Santa Barbara. He has published five monographs and more than 200 research articles. His research areas include mathematical and empirical finance, econometrics, probability, and statistics. He is a Fellow of the Institute of Mathematical Statistics, Elected Member of the International Statistical Institute, Foreign Member of the Russian Academy of Natural Sciences, and holds an honorary doctorate degree from ST. Petersburg Technical University.
Stefan Mittnik is Professor of Statistics and Empirical Economics at the University of Kiel and Director of the Institute of Statistics Econometrics. His academic and consulting work covers the areas of empirical finance, forecasting financial risk, portfolio management, computational finance, econometrics, and time series analysis.
Stefan Mittnik is Professor of Statistics and Empirical Economics at the University of Kiel and Director of the Institute of Statistics Econometrics. His academic and consulting work covers the areas of empirical finance, forecasting financial risk, portfolio management, computational finance, econometrics, and time series analysis.
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Books Puddle
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