Library of American University of Madaba
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Hautsch, Nikolaus.
Econometrics of Financial High-Frequency Data [electronic resource] / by Nikolaus Hautsch. - XIV, 374 p. online resource.
1 Introduction -- 2 Microstructure Foundations -- 3 Empirical Properties of High-Frequency Data -- 4 Financial Point Processes -- 5 Univariate Multiplicative Error Models -- 6 Generalized Multiplicative Error Models -- 7 Vector Multiplicative Error Models -- 8 Modelling High-Frequency Volatility -- 9 Estimating Market Liquidity -- 10 Semiparametric Dynamic Proportional Hazard Models -- 11 Univariate Dynamic Intensity Models -- 12 Multivariate Dynamic Intensity Models -- 13 Autoregressive Discrete Processes and Quote Dynamics -- Appendix: Important Distributions for Positive-Value Data -- Index.
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.
9783642219252
Economics.
Finance.
Econometrics.
Economics/Management Science.
Econometrics.
Financial Economics.
Quantitative Finance.
HB139-141
330.015195
Econometrics of Financial High-Frequency Data [electronic resource] / by Nikolaus Hautsch. - XIV, 374 p. online resource.
1 Introduction -- 2 Microstructure Foundations -- 3 Empirical Properties of High-Frequency Data -- 4 Financial Point Processes -- 5 Univariate Multiplicative Error Models -- 6 Generalized Multiplicative Error Models -- 7 Vector Multiplicative Error Models -- 8 Modelling High-Frequency Volatility -- 9 Estimating Market Liquidity -- 10 Semiparametric Dynamic Proportional Hazard Models -- 11 Univariate Dynamic Intensity Models -- 12 Multivariate Dynamic Intensity Models -- 13 Autoregressive Discrete Processes and Quote Dynamics -- Appendix: Important Distributions for Positive-Value Data -- Index.
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.
9783642219252
Economics.
Finance.
Econometrics.
Economics/Management Science.
Econometrics.
Financial Economics.
Quantitative Finance.
HB139-141
330.015195