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High Frequency Financial Econometrics Recent Developments 1st Edition Luc Bauwens

  • SKU: BELL-4259586
High Frequency Financial Econometrics Recent Developments 1st Edition Luc Bauwens
$ 31.00 $ 45.00 (-31%)

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High Frequency Financial Econometrics Recent Developments 1st Edition Luc Bauwens instant download after payment.

Publisher: Physica-Verlag Heidelberg
File Extension: PDF
File size: 3.82 MB
Pages: 312
Author: Luc Bauwens, Winfried Pohlmeier, David Veredas (auth.), Luc Bauwens, Winfried Pohlmeier, David Veredas (eds.)
ISBN: 9783790819915, 9783790819922, 3790819913, 3790819921
Language: English
Year: 2008
Edition: 1

Product desciption

High Frequency Financial Econometrics Recent Developments 1st Edition Luc Bauwens by Luc Bauwens, Winfried Pohlmeier, David Veredas (auth.), Luc Bauwens, Winfried Pohlmeier, David Veredas (eds.) 9783790819915, 9783790819922, 3790819913, 3790819921 instant download after payment.

This exciting volume presents cutting-edge developments in high frequency financial econometrics, spanning a diverse range of topics: market microstructure, tick-by-tick data, bond and foreign exchange markets and large dimensional volatility modelling. The chapters on market microstructure deal with liquidity, asymmetries of information, and limit order aggressiveness in pure limit order book markets. The chapters on tick-by-tick data present statistical techniques for the analysis of the discrete nature of price movements, the intraday seasonal patterns of financial durations, and the joint probability law of prices, volume and durations. Bond markets are brought into focus through the analysis of macroeconomic announcements in the future bond market as a function of the business cycle. Exchange markets are examined from two perspectives: the study of the impact of information arrival on exchange rate volatility and the uncovering of chartist patterns in the euro/dollar exchange rate. Last, dynamic modelling of large dimensional covariance matrices is also presented. Shedding light on some of the most relevant open questions in the analysis of high frequency data, this volume will be of interest to graduate students, researchers and industry professionals.

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