Modelling and Forecasting High Frequency Financial Data (PDF)
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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 Datacombines 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.
Dr. Stavros Degiannakis is Assistant Professor in the Department of Economic and Regional Development of Panteion University of Social and Political Sciences. He has taught at various Universities including the Athens University of Economics and Business and the Hellenic Open University, Greece, in subjects such as statistics, econometrics, time series, data analysis and quantitative techniques. He has also served as econometrician for companies in the private and public sector (the Bank of Greece, the University of Portsmouth, the Economic Chamber of Greece, Inventive, the Hellenic Parliament, and Profile). He has served as a referee in more than 30 international journals, such as the Journal of Applied Econometrics, the Journal of Banking and Finance, and the Journal of Applied Statistics. His research interests are in the areas of applied and theoretical financial
- Autoren: Stavros Degiannakis , Christos Floros
- 2016, 1st ed. 2015, 278 Seiten, Englisch
- Verlag: Palgrave Macmillan
- ISBN-10: 1137396490
- ISBN-13: 9781137396495
- Erscheinungsdatum: 29.04.2016
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