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Essays on asset pricing in markets with law-related imperfections

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Title
Essays on asset pricing in markets with law-related imperfections
Name (type = personal)
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Davis
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Yehuda
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1989
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Davis, Yehuda, 1989-
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author
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Govindaraj
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Suresh
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Suresh Govindaraj
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Advisory Committee
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chair
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Gao
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Feng
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Feng Gao
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Sarath
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Bharat
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Bharat Sarath
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Advisory Committee
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Chidambaran
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N. K.
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N. K. Chidambaran
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Advisory Committee
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Rutgers University
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degree grantor
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Graduate School - Newark
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theses
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2020
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2020-05
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English
Abstract (type = abstract)
This dissertation consists of two essays on the effects of legal frictions on asset prices. The first essay comprises the derivation of a theoretical valuation of tax deductions with fixed upper bounds. There are numerous examples in practice where the taxpayer, corporations, or individuals are constrained by tax laws that disallow tax deductions beyond a fixed limit. Typical examples would be the upper bound on State and Local Tax deductions for individuals introduced recently in 2018, and Section 382 of the Internal Revenue Code that imposes a ceiling on tax deductions stemming from the losses of acquired corporations. Despite the ubiquity of such tax frictions, there is very little in the academic literature on the impact of these on the consumption-investment decisions and asset prices. We develop a Consumption Capital Asset Pricing Model (CCAPM) where a risk averse investor makes consumption investment decisions in the presence of taxes, but faces fixed legal limits on tax deductions, and show the modifications required of the traditional CCAPM model without frictions, including the well-known Hansen-Jagannathan bound. Interestingly, it turns out that under certain conditions, increasing the tax deduction limit actually reduces investment in risky assets.

In the second essay, we investigate the stock and option market reactions to events in the United States Supreme Court (SC) relating to cases where at least one party involved is a public firm. Typically, cases that reach the SC level would have passed through multiple lower courts. Consequently, much of the information content of these cases would be publicly known and priced by the financial markets. If the market has perfectly anticipated that the SC would grant (a rare event) the writ of certiorari (accept a case), the tone of the subsequent legal arguments, and the final decision, then there should be no reaction to any of these events, as and when they unfold. Using a comprehensive dataset of more than 500 cases, we find that the stock market reacts to both the grant of certiorari and to the announcement of the final decision, suggesting that the stock market could not predict the SC actions. We also find that specific case characteristics, such as parties involved, the type of legal issue, and press coverage explain some of the cross-sectional variations in the stock returns across cases. Our tests also indicate that there is no information leakage prior to the events, and no stock price drift after the events. However, we find that the option market anticipates the final decision as early as the date certiorari is granted, reinforcing the theory that smart money comes early to the option market.
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Management
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Rutgers University Electronic Theses and Dissertations
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Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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ETD_10666
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doi:10.7282/t3-qpmc-8827
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application/pdf
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Extent
1 online resource (viii, 84 pages)
Note (type = degree)
Ph.D.
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Includes bibliographical references
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ETD doctoral
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The author owns the copyright to this work.
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Name
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Davis
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Yehuda
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Permission or license
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2020-03-30 03:01:32
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Yehuda Davis
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Rutgers University. Graduate School - Newark
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2020-05-31
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2022-05-31
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Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2022.
Copyright
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Copyright protected
Availability
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Open
Reason
Permission or license
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2020-03-30T02:29:23
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2020-03-30T02:29:23
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