M
Michael Rothschild
Researcher at University of Wisconsin-Madison
Publications - 93
Citations - 20850
Michael Rothschild is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Arbitrage pricing theory & Diversification (finance). The author has an hindex of 49, co-authored 93 publications receiving 20102 citations. Previous affiliations of Michael Rothschild include Harvard University & University of California, San Diego.
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Variable Earnings and Nonlinear Taxation
TL;DR: In this paper, the effect of nonlinearity on the U.S. tax and transfer system on low-income individuals is analyzed. And the authors conclude that the tax and tax transfer system punishes and rewards variability in a manner that is both substantial and capricious.
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Capital Gains Taxation in an Economy with an
TL;DR: In this paper, the authors examined the effect of proportional capital gains tax on the efficiency of the allocation of investment in the Austrian sector and the U.S. tax system, under which capital gains taxes are waived at death, encourages investors to hold assets longer than they otherwise would.
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Arbitrage and Mean-Variance Analysis on Large Asset Markets
TL;DR: In this paper, the authors examined the implications of arbitrage in a market with many assets and showed that if the covariance matrix of asset returns has only K unbounded eigenvalues, then the corresponding K eigenvectors converge and play the role of factor loadings in Ross' result.
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Notes on the Effect of Capital Gains Taxation on Non-Austrian Assets
Dan Kovenock,Michael Rothschild +1 more
TL;DR: In this article, the authors assess the effect of capital gains taxation on non-Austrian assets, such as claims to profits of continuing enterprises, and calculate the value of being able to actively manage a portfolio and use this model to calculate the effective rate of capital gain taxation for several plausible parameter values.
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Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
TL;DR: In this paper, the authors examine the implications of arbitrage in a market with many assets and show that if the covariance matrix of the asset returns has only K unbounded eigenvalues then there is an approximate factor structure and it is unique.