High Frequency Financial Econometrics: Recent Developments

Author:   Luc Bauwens ,  Winfried Pohlmeier ,  David Veredas
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2008 ed.
ISBN:  

9783790819915


Pages:   312
Publication Date:   26 October 2007
Format:   Hardback
Availability:   In Print   Availability explained
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High Frequency Financial Econometrics: Recent Developments


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Author:   Luc Bauwens ,  Winfried Pohlmeier ,  David Veredas
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2008 ed.
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.380kg
ISBN:  

9783790819915


ISBN 10:   3790819913
Pages:   312
Publication Date:   26 October 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Editor's introduction: recent developments in high frequency financial econometrics.- Exchange rate volatility and the mixture of distribution hypothesis.- A multivariate integer count hurdle model: theory and application to exchange rate dynamics.- Asymmetries in bid and ask responses to innovations in the trading process.- Liquidity supply and adverse selection in a pure limit order book market.- How large is liquidity risk in an automated auction market?.- Order aggressiveness and order book dynamics.- Modelling financial transaction price movements: a dynamic integer count data model.- The performance analysis of chart patterns: Monte Carlo simulation and evidence from the euro/dollar foreign exchange market.- Semiparametric estimation for financial durations.- Intraday stock prices, volume, and duration: a nonparametric conditional density analysis.- Macroeconomic surprises and short-term behaviour in bond futures.- Dynamic modelling of large-dimensional covariance matrices.

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