Книга High Frequency Financial Econometrics Luc Bauwens

High Frequency Financial Econometrics

Recent Developments

Език: Английски език
Корици: С меки корици
Наличност: Външен склад
Изпращаме след 5-8 дни
105.30 205.95 лв
Shedding light on some of the most pressing open questions in the analysis of high frequency data, t...

Информация за книгата

Език
Английски език
Корици
Книга - С меки корици
Издадена
2010
страници
312
EAN
9783790825404
ISBN
3790825409
Enbook ID
01738200
Теглоt
492
Размери
155 x 235 x 18

Пълно описание

Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge developments in high frequency financial econometrics. Coverage spans a diverse range of topics, including market microstructure, tick-by-tick data, bond and foreign exchange markets, and large dimensional volatility modeling. The volume is of interest to graduate students, researchers, and industry professionals.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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