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Modelling and Forecasting High Frequency Financial Data
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Product Details
Author:
Stavros Degiannakis, Christos Floros
Format:
Hardcover
Pages:
304
Publisher:
Palgrave Macmillan (October 28, 2015)
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781137396488
ISBN-10:
1137396482
Weight:
16oz
Dimensions:
6.42" x 9.49" x 0.95"
Case Pack:
22
As low as:
$73.15
Publisher Identifier:
P-MISC
Discount Code:
A
Overview
The global financial crisis has reopened discussion surrounding the use of appropriate theoretical financial frameworks to reflect the current economic climate. There is a need for more sophisticated analytical concepts which take into account current quantitative changes and unprecedented turbulence in the financial markets.
This book provides a comprehensive guide to the quantitative analysis of high frequency financial data in the light of current events and contemporary issues, using the latest empirical research and theory. It highlights and explains the shortcomings of theoretical frameworks and provides an explanation of high-frequency theory, emphasising ways in which to critically apply this knowledge within a financial context.
Modelling and Forecasting High Frequency Financial Data combines traditional and updated theories and applies them to real-world financial market situations. It will be a valuable and accessible resource for anyone wishing to understand quantitative analysis and modelling in current financial markets.
This book provides a comprehensive guide to the quantitative analysis of high frequency financial data in the light of current events and contemporary issues, using the latest empirical research and theory. It highlights and explains the shortcomings of theoretical frameworks and provides an explanation of high-frequency theory, emphasising ways in which to critically apply this knowledge within a financial context.
Modelling and Forecasting High Frequency Financial Data combines traditional and updated theories and applies them to real-world financial market situations. It will be a valuable and accessible resource for anyone wishing to understand quantitative analysis and modelling in current financial markets.
