W
Wei Jiang
Researcher at Columbia University
Publications - 124
Citations - 11538
Wei Jiang is an academic researcher from Columbia University. The author has contributed to research in topics: Hedge fund & Arbitrage. The author has an hindex of 46, co-authored 118 publications receiving 10161 citations. Previous affiliations of Wei Jiang include National Bureau of Economic Research.
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Payoff Complementarities and Financial Fragility: Evidence from Mutual Fund Outflows
TL;DR: In this paper, the authors apply payoff complementarities to the context of mutual funds and test it empirically using a model of global games and find that funds with illiquid assets will be subject to more redemptions than funds with liquid assets, and this effect weakens in funds that are held primarily by large investors.
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Dancing With Activists
TL;DR: In this article, the authors analyzed the drivers, nature, and consequences of such settlement agreements and found no evidence to support concerns that settlements enable activists to extract rents at the expense of other investors.
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Analysts' Weighting of Private and Public Information
Qi Chen,Wei Jiang,Wei Jiang +2 more
TL;DR: This article examined the relevance of competing explanations for the deviations of analysts' actual weighting from their efficient weighting (i.e., the optimal statistical weights on available information to form rational expectations about the underlying earnings).
Posted Content
Offering vs. Choice in 401(k) Plans: Equity Exposure and Number of Funds
Gur Huberman,Wei Jiang,Wei Jiang +2 more
TL;DR: The authors found that participants tend to allocate their contributions evenly across the funds they use, with the tendency weakening with the number of funds used, and that participants' propensity to allocate contributions to equity funds is not very sensitive to the fraction of equity funds among those offered by their plan.
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Securitization and Loan Performance: A Contrast of Ex Ante and Ex Post Relations in the Mortgage Market
TL;DR: In this article, the authors present an intriguing contrast of the ex ante and ex post relations between mortgage securitization and loan performance using a comprehensive dataset from a major national mortgage lender.