A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
- Topic classification is ongoing.
- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 462 resources
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This paper asks whether elite colleges help students outside of historically advantaged groups reach top positions in the economy. I combine administrative data on income and leadership teams at publicly traded firms with a regression discontinuity design based on admissions rules at elite business-focused degree programs in Chile. The 1.8% of college students admitted to these programs account for 41% of leadership positions and 39% of top 0.1% incomes. Admission raises the number of leadership positions students hold by 44% and their probability of attaining a top 0.1% income by 51%. However, these gains are driven by male applicants from high-tuition private high schools, with zero effects for female students or students from other school types with similar admissions test scores. Admissions effects are equal to 38% of the gap in rates of top attainment by gender and 54% of the gap by high school background for male students. A difference-in-differences analysis of the rates at which pairs of students lead the same firms suggests that peer ties formed between college classmates from similar backgrounds may play an important role in driving the observed effects.
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This study empirically investigates two effects of alternative data availability: stock price informativeness and its disciplining effect on managers’ actions. Recent computing advancements have enabled technology companies to collect real-time, granular indicators of fundamentals to sell to investment professionals. These data include consumer transactions and satellite images. The introduction of these data increases price informativeness through decreased information acquisition costs, particularly in firms in which sophisticated investors have higher incentives to uncover information. I document two effects on managers. First, managers reduce their opportunistic trading. Second, investment efficiency increases, consistent with price informativeness improving managers’ incentives to invest and divest efficiently.
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This paper studies the asset pricing implications of a firm's opportunities to replace routine‐task labor with automation. I develop a model in which firms optimally undertake such replacement when their productivity is low. Hence, firms with routine‐task labor maintain a replacement option that hedges their value against unfavorable macroeconomic shocks and lowers their expected returns. Using establishment‐level occupational data, I construct a measure of firms' share of routine‐task labor. Compared to their industry peers, firms with a higher share of routine‐task labor (i) invest more in machines and reduce more routine‐task labor during economic downturns, and (ii) have lower expected stock returns.
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We propose a theory of security design in financing entrepreneurial production, positing that the investor can acquire costly information on the entrepreneur’s project before making the financing decision. When the entrepreneur has enough bargaining power in security design, the optimal security helps incentivize both efficient information acquisition and efficient financing. Debt is optimal when information is not very valuable for production, whereas the combination of debt and equity is optimal when information is valuable. If, instead, the investor has sufficiently strong bargaining power in security design or can acquire information only after financing, equity is optimal.
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I exploit information in the cross-section of bid-ask spreads to develop a new measure of extreme event risk. Spreads embed tail risk information because liquidity providers require compensation for the possibility of sharp changes in asset values. I show that simple regressions relating spreads and trading volume to factor betas recover this information and deliver high-frequency tail risk estimates for common factors in stock returns. My methodology disentangles financial and aggregate market risks during the 2007–2008 financial crisis; quantifies jump risks associated with Federal Open Market Committee announcements; and anticipates an extreme liquidity shock before the 2010 Flash Crash.
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Using both investor‐ and stock‐level data, I examine the relation between stockholders’ unrealized returns since purchase and the market response to earnings announcements. I demonstrate that stockholders’ unrealized gain/loss position moderates their trading behavior in response to earnings announcements. I also find that this behavior generates a short‐window return underreaction to earnings news. My results are generally consistent with predictions from prospect theory regarding the manner in which stockholders’ unrealized returns moderate their trading response to belief shocks. However, my results also suggest that an emotional component (i.e., regret‐avoidance/pride‐seeking) is necessary to explain the observed investor behavior.
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I examine the effect of financial sector stress on risk sharing in a novel setting: the CME’s weather derivatives market. The structure of the market allows me to disentangle price movements due to financial sector stress from price movements due to fundamentals. Contracts, which are typically priced near their actuarially fair value, experience significant price declines during periods of financial sector stress. Contracts with greater margin requirements and total risk are the most affected. The results provide causal evidence of the effect of financial sector stress on the pricing of exchange-traded financial contracts and risk sharing in the economy.
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The cash conversion cycle (CCC) refers to the time span between the outlay of cash for purchases to the receipt of cash from sales. It is a widely used metric to gauge the effectiveness of a firm's management and intrinsic need for external financing. This paper shows that a zero-investment portfolio that buys the lowest CCC decile stocks and shorts the highest CCC decile stocks earns 5%–7% alphas per year. The CCC effect is prevalent across industries, remains even for large capitalization stocks, distinct from the known return predictors, and cannot be explained by the financial intermediary leverage risk.
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I investigate the profitability and investment premium in stock returns using hand-collected data from Moody's Manuals for 1940–1963. Controlling for value, the profitability premium emerges as important in this period. In contrast, there is no reliable relation between investment and returns, regardless of whether investment is measured using growth in total assets or book equity and even after extending the data back to 1926. In spanning regressions, factors constructed from profitability and book-to-market ratios (RMW and HML, respectively) improve the mean-variance efficient tangency portfolio but the investment factor (CMA) does not.
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Journals
- American Economic Review (127)
- Journal of Finance (76)
- Journal of Financial Economics (136)
- Review of Financial Studies (123)
Topic
- Bond (28)
- Director (5)
- CEO (5)
- Capital Structure (3)
- Mergers and Acquisitions (3)
Resource type
- Journal Article (462)