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Econometrics of Financial High-Frequency Data PDF

386 Pages·2012·6.041 MB·English
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by Nikolaus Hautsch (auth.)| 2012| 386 pages| 6.041| English

About Econometrics of Financial High-Frequency Data

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an increasing importance of intraday trading, liquidity risk, optimal order placement as well as high-frequency volatility. This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models. It discusses implementation details, provides insights into properties of high-frequency data as well as institutional settings and presents applications to volatility and liquidity estimation, order book modelling and market microstructure analysis.

Detailed Information

Author:Nikolaus Hautsch (auth.)
Publication Year:2012
ISBN:9783642219245
Pages:386
Language:English
File Size:6.041
Format:PDF
Price:FREE
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