Essays in financial econometrics

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2008.

Bibliographic Details
Main Author: Kocatulum, Emre
Other Authors: Victor Chernozhukov and Whitney Newey.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/45905
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author Kocatulum, Emre
author2 Victor Chernozhukov and Whitney Newey.
author_facet Victor Chernozhukov and Whitney Newey.
Kocatulum, Emre
author_sort Kocatulum, Emre
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2008.
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spelling mit-1721.1/459052022-01-13T07:54:28Z Essays in financial econometrics Kocatulum, Emre Victor Chernozhukov and Whitney Newey. Massachusetts Institute of Technology. Dept. of Economics. Massachusetts Institute of Technology. Department of Economics Economics. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2008. Includes bibliographical references. Chapter 1 is the product of joint work with Ferhat Akbas and it provides a behavioral explanation for monthly negative serial correlation in stock returns. For the first time in the literature, this work reports that only low momentum stocks experience monthly negative serial correlation. Using a recently collected dataset, this finding provides the basis for a behavioral explanation for monthly negative serial correlation. Chapter 2 uses mean squared error (MSE) criterion to choose the number of instruments for generalized empirical likelihood (GEL) framework. This is a relevant problem especially in financial economics and macroeconomics where the number of instruments can be very large. For the first time in the literature, heteroskedasticity is explicitly modelled in deriving the terms in higher order MSE. Using the selection criteria makes GEL estimator more efficient under heteroskedasticity. Chapter 3 is the product of joint work with Victor Chernozhukov and Konrad Menzel.This chapter proposes new ways of inference on mean-variance sets in finance such as Hansen-Jagannathan bounds and Markowitz frontier. In particular standard set estimation methods with Hausdorff distance give very large confidence regions which are not very meaningful for testing purposes. On the other hand confidence regions based on LR-type statistic and wald type statistic provide much tighter confidence bounds. The methodology is also extended to frontiers that use conditional information efficiently. by Emre Kocatulum. Ph.D. 2009-06-30T16:35:08Z 2009-06-30T16:35:08Z 2008 2008 Thesis http://hdl.handle.net/1721.1/45905 320530085 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 117 p. application/pdf Massachusetts Institute of Technology
spellingShingle Economics.
Kocatulum, Emre
Essays in financial econometrics
title Essays in financial econometrics
title_full Essays in financial econometrics
title_fullStr Essays in financial econometrics
title_full_unstemmed Essays in financial econometrics
title_short Essays in financial econometrics
title_sort essays in financial econometrics
topic Economics.
url http://hdl.handle.net/1721.1/45905
work_keys_str_mv AT kocatulumemre essaysinfinancialeconometrics