Infinite-Variance Error Structure in Finance and Economics
Abstract
Many macroeconomic and
financial data exhibit large outliers and high volatility so that their returns
are usually modeled to follow an infinite-variance stable process. Extreme
behaviors in such data tend to exist especially for emerging markets due to
frequent existence of high economic turmoil. A relatively new area of research studies
that model the financial returns as infinite-variance stable errors exists for
emerging markets as well as for industrialized countries. This study aims to
briefly introduce the reader the concept of infinite-variance stable
distributions, discuss some existing studies on unit root and co-integration
tests that assume infinite-variance stable error structure, and then to point
out the potential lines of research while showing the significance of this relatively
new concept.
Keywords
References
- Akgiray, V., Booth, G. G., and Seifert, B. (1988). Distribution properties of Latin American black market exchange rates. Journal of International Money and Finance, 7:37–48.
- Bagshaw, M. L. and Humpage, O. F. (1986). Intervention, exchange rate volatility, and the stable Paretian distribution. Federal Reserve Bank of Cleveland Working Paper 8608.
- Basterfield, D., Bundt, T., and Murphy, G. (2003). Statistical properties of African FX rates: An application of the stable Paretian hypothesis. In Proceedings of the IEEE 2003 International Conference on Computational Intelligence for Financial Engineering (CIFEr), pages 223–229, Hong Kong.
- Bidarkota, P. and McCulloch, J. H. (1998). Optimal univariate inflation forecasting with symmetric stable shocks. Journal of Applied Econometrics, 13:659–670.
- Calder, M. and Davis, R. (1998). Inference for linear processes with stable noise. In Adler, R. J.,Feldman, R. E., and Taqqu, M. S., editors, A Practical Guide to Heavy Tails: Statistical Techniques and Applications, pages 159–176. Birkhäuser, Boston.
- Caner, M. (1998). Tests for cointegration with infinite variance errors. Journal of Econometrics, 86:155–175.
- Cavaliere, G., Georgiev I., and Taylor, A. M. R. (2016). Unit root inference for non-stationary linear processes driven by infinite variance innovations. Econometric Theory, 1–47.
- Chan, N. H. and Tran, L. T. (1989). On the first order autoregressive process with infinite variance. Econometric Theory, 5(3):354–362.
Details
Primary Language
English
Subjects
-
Journal Section
-
Authors
Fatma Özgü Serttaş
Türkiye
Publication Date
April 16, 2018
Submission Date
April 17, 2017
Acceptance Date
February 10, 2018
Published in Issue
Year 2018 Volume: 10 Number: 1