Non-Linear Time Series Models in Empirical Finance

Description

Non-Linear Time Series Models in Empirical Finance
Publisher:Cambridge University Press (2000-09-04) | ISBN-10: 0521770416 | PDF | 6.3 Mb | 296 pages
This is the most up-to-date and accessible guide to one of the fastest growing areas in financial analysis by two of the most accomplished young econometricians in Europe. This classroom-tested advanced undergraduate and graduate textbook provides an in-depth treatment of recently developed nonlinear models, including regime-switching and artificial neural networks, and applies them to describing and forecasting financial asset returns and volatility. It uses a wide range of financial data, drawn from sources including the markets of Tokyo, London and Frankfurt.

depositfiles

easy-share

NO MIRROR! ID126025 126025

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Non-Linear Time Series Models in Empirical Finance" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1033
2. Linear Factor Models in Finance
3. Stochastic Calculus for Finance II: Continuous-Time Models
4. Introduction to Mathematical Finance: Discrete Time Models
5. Time Series and Linear Systems
6. Market Response Models, Econometric and Time Series Analysis, Second Edition (International Series in Quantitative Marketing) b
7. Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)
8. Handbook of Empirical Corporate Finance, Vol. 2: Empirical Corporate Finance
9. [request_ebook] Stochastic Calculus for Finance II: Continuous-Time Models
10. An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine
11. The Coordinate-Free Approach to Linear Models (Cambridge Series in Statistical and Probabilistic Mathematics)
12. Linear Models: Least Squares and Alternatives (Springer Series in Statistics): C.Radhakrishna Rao, Helge Toutenburg
13. Applied Linear Statistical Models (McGraw-Hill/Irwin Series Operations and Decision Sciences)
14. Time Series: Applications to Finance
15. Time Series Models: 2nd Edition
16. Periodic Time Series Models