Fractionally Integrated Generalized Autoregressive Conditional Heteroskedasticity PDF Download
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Author: Richard T. Baillie
Publisher:
ISBN:
Category :
Languages : en
Pages : 24
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Book Description
Author: Richard T. Baillie
Publisher:
ISBN:
Category :
Languages : en
Pages : 24
Get Book Here
Book Description
Author: Richard T. Baillie
Publisher:
ISBN:
Category :
Languages : da
Pages : 24
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Book Description
Author: Richard T. Baillie
Publisher:
ISBN:
Category :
Languages : en
Pages : 24
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Book Description
Author: Ozlem Kinav
Publisher:
ISBN:
Category : Foreign exchange futures
Languages : en
Pages : 212
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Book Description
Author: Tim Bollerslev
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 280
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Book Description
Author: Greg N. Gregoriou
Publisher: CRC Press
ISBN: 1420099558
Category : Business & Economics
Languages : en
Pages : 654
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Book Description
Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel
Author: Evdokia Xekalaki
Publisher: John Wiley & Sons
ISBN: 9780470688021
Category : Mathematics
Languages : en
Pages : 558
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Book Description
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical background, before proceeding to more advanced issues and applications. The Authors provide coverage of the recent developments in ARCH modelling which can be implemented using econometric software, model construction, fitting and forecasting and model evaluation and selection. Key Features: Presents a comprehensive overview of both the theory and the practical applications of ARCH, an increasingly popular financial modelling technique. Assumes no prior knowledge of ARCH models; the basics such as model construction are introduced, before proceeding to more complex applications such as value-at-risk, option pricing and model evaluation. Uses empirical examples to demonstrate how the recent developments in ARCH can be implemented. Provides step-by-step instructive examples, using econometric software, such as Econometric Views and the G@RCH module for the Ox software package, used in Estimating and Forecasting ARCH Models. Accompanied by a CD-ROM containing links to the software as well as the datasets used in the examples. Aimed at readers wishing to gain an aptitude in the applications of financial econometric modelling with a focus on practical implementation, via applications to real data and via examples worked with econometrics packages.
Author: Torben Gustav Andersen
Publisher: Springer Science & Business Media
ISBN: 3540712976
Category : Business & Economics
Languages : en
Pages : 1045
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Book Description
The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.
Author: Svetlozar T. Rachev
Publisher: John Wiley & Sons
ISBN: 0470121521
Category : Business & Economics
Languages : en
Pages : 560
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Book Description
A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.
Author: M. Clements
Publisher: Springer
ISBN: 0230596142
Category : Business & Economics
Languages : en
Pages : 187
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Book Description
Financial econometrics is one of the greatest on-going success stories of recent decades, as it has become one of the most active areas of research in econometrics. In this book, Michael Clements presents a clear and logical explanation of the key concepts and ideas of forecasts of economic and financial variables. He shows that forecasts of the single most likely outcome of an economic and financial variable are of limited value. Forecasts that provide more information on the expected likely ranges of outcomes are more relevant. This book provides a comprehensive treatment of the evaluation of different types of forecasts and draws out the parallels between the different approaches. It describes the methods of evaluating these more complex forecasts which provide a fuller description of the range of possible future outcomes.
