Infinite-Variance Stable Errors and Robust Estimation Procedures: A Monte Carlo Study with Empirical Applications

Serttas, Fatma Özgü

ISBN 10: 3846547328 / ISBN 13: 9783846547328

Published by LAP LAMBERT Academic Publishing, 2011

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Bibliographic Details

• Title: Infinite-Variance Stable Errors and Robust Estimation Procedures: A Monte Carlo Study with Empirical Applications
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846547328
• ISBN 13: 9783846547328
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

Gaussian normal error assumption is a basic assumption for co-integration tests. Ordinary Least Squares (OLS) based regression techniques are also widely used together with the normality assumption. To consider the heavy-tailed structure observed in many economic and financial time series, new residual-based co-integration tests are developed and analyzed via Monte Carlo simulations. The new tests are based on Least Absolute Deviation (LAD) regressions, whose error structure follows the infinite-variance stable distribution. Empirical applications on Forward Rate Unbiasedness Hypothesis (FRUH) and Purchasing Power Parity (PPP) verify the need to make use of the infinite-variance stable distributions as the error distributions.

About the Author

Fatma Özgü Serttaş was born in Ankara, Turkey and graduated from T.E.D Ankara College in 1995. She attended Bilkent University and received her B.A. in Economics in 2000 and her M.A. in Economics in 2002. She obtained her Ph.D. in Economics from Iowa State University in 2010. Currently, she is an Assistant Professor at Yıldırım Beyazıt University.