Properties and applications of a martingale hypothesis test

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2001.

Bibliographic Details
Main Author: Kumagai, Tomomi, 1967-
Other Authors: Jerry A. Hausman and Guido Kuersteiner.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/8219
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author Kumagai, Tomomi, 1967-
author2 Jerry A. Hausman and Guido Kuersteiner.
author_facet Jerry A. Hausman and Guido Kuersteiner.
Kumagai, Tomomi, 1967-
author_sort Kumagai, Tomomi, 1967-
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2001.
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spelling mit-1721.1/82192019-04-12T13:31:18Z Properties and applications of a martingale hypothesis test Kumagai, Tomomi, 1967- Jerry A. Hausman and Guido Kuersteiner. Massachusetts Institute of Technology. Dept. of Economics. Massachusetts Institute of Technology. Dept. of Economics. Economics. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2001. Includes bibliographical references (p. 129-132). In this thesis, I explore the properties of a martingale hypothesis test, and present three applications of the test that address empirical questions in asset-pricing finance. The martingale test exploits the lack of correlation between forecast error and the current information set. The test is designed to consider all alternatives, including linear and nonlinear relationships between the forecast error and a current information variable. When the current information variable is stationary, I follow the transformed empirical process approach of Koul and Stute (1999) to construct the appropriate test statistics for models with homoscedastic instantaneous variance and extend their results to models with conditional heteroscedasticity. When the current information variable is an integrated process, I follow the approach of Park and Whang (1999), and extend their results to account for estimated parameters, and derive the asymptotic properties. In the first application, I construct a test to determine if continuous-time affine diffusion models provide adequate approximations of observed discrete data, primarily with respect to the models' short-term forecastability. I apply the martingale hypothesis to test various parameteric specifications of the conditional means for the affine diffusion models. In the second application, I propose a unit-root type specification test for stochastic processes generated by linear functions of nonstationary integrated process, in order to test the random walk hypothesis in asset prices. In the third application, I construct a test of forward unbiasedness in order to relate the price of a futures contract to the future price of the underlying asset. by Tomomi Kumagai. Ph.D. 2005-08-23T18:23:41Z 2005-08-23T18:23:41Z 2001 2001 Thesis http://hdl.handle.net/1721.1/8219 50146300 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 132 p. 4592226 bytes 4591987 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Economics.
Kumagai, Tomomi, 1967-
Properties and applications of a martingale hypothesis test
title Properties and applications of a martingale hypothesis test
title_full Properties and applications of a martingale hypothesis test
title_fullStr Properties and applications of a martingale hypothesis test
title_full_unstemmed Properties and applications of a martingale hypothesis test
title_short Properties and applications of a martingale hypothesis test
title_sort properties and applications of a martingale hypothesis test
topic Economics.
url http://hdl.handle.net/1721.1/8219
work_keys_str_mv AT kumagaitomomi1967 propertiesandapplicationsofamartingalehypothesistest