Modelling and forecasting high frequency financial data

15Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Degiannakis, S., & Floros, C. (2015). Modelling and forecasting high frequency financial data. Modelling and Forecasting High Frequency Financial Data (pp. 1–278). Palgrave Macmillan. https://doi.org/10.1057/9781137396495

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free