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 6,024 resources
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Using loan‐level data from Germany, we investigate how the introduction of model‐based capital regulation affected banks' ability to absorb shocks. The objective of this regulation was to enhance financial stability by making capital requirements responsive to asset risk. Our evidence suggests that banks “optimized” model‐based regulation to lower their capital requirements. Banks systematically underreported risk, with underreporting more pronounced for banks with higher gains from it. Moreover, large banks benefitted from the regulation at the expense of smaller banks. Overall, our results suggest that sophisticated rules may have undesired effects if strategic misbehavior is difficult to detect.
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We examine the effect of pay transparency on the gender pay gap and firm outcomes. Using a 2006 legislation change in Denmark that requires firms to provide gender‐disaggregated wage statistics, detailed employee‐employer administrative data, and difference‐in‐differences and difference‐in‐discontinuities designs, we find that the law reduces the gender pay gap, primarily by slowing wage growth for male employees. The gender pay gap declines by 2 percentage points, or 13% relative to the prelegislation mean. Despite the reduction of the overall wage bill, the wage transparency mandate does not affect firm profitability, likely because of the offsetting effect of reduced firm productivity.
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We model a market for a skill in short supply and high demand, where the presence of charlatans (professionals who sell a service they do not deliver on) is an equilibrium outcome. In the model, reducing the number of charlatans through regulation lowers consumer surplus because of the resulting reduction in competition among producers. Producers can benefit from this reduction, potentially explaining the regulation we observe. The effect on total surplus depends on the type of regulation. We derive the factors that drive the cross‐sectional variation in charlatans (regulation) across professions.
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Does automatic enrollment into a retirement plan increase financial distress due to increased borrowing outside the plan? We study a natural experiment created when the U.S. Army began automatically enrolling newly hired civilian employees into the Thrift Savings Plan. Four years after hire, automatic enrollmentincreases cumulative contributions to the plan by 4.1% of annual salary, but we find little evidence ofincreased financial distress. Automatic enrollment causes no significant change in credit scores, debt balances excluding auto debt and first mortgages, or adverse credit outcomes, with the possible exception of increasedfirst‐mortgage balances in foreclosure.
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We document large, longer term, joint regime shifts in asset valuations and the real federal funds rate‐r*r<sup>\ast </sup> spread. To interpret these findings, we estimate a novel macrofinance model of monetary transmission and find that the documented regimes coincide with shifts in the parameters of a policy rule, with long‐term consequences for the real interest rate. Estimates imply that two‐thirds of the decline in the real interest rate since the early 1980s is attributable to regime changes in monetary policy. The model explains how infrequent changes in the stance of monetary policy can generate persistent changes in asset valuations and the equity premium.
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Short‐term trade ideas are a component of analyst research highly valued by institutional investors. Using a novel and comprehensive database, we find that trade ideas have a stock price impact at least as large as recommendation and target price changes. Trade ideas based on expectations of future events are more informative than those identifying incomplete incorporation of past information in stock prices. Analysts with better access to a firm's management produce better trade ideas. Institutional investors trade in the direction of trade ideas. Investors following trade ideas can earn significant abnormal returns, consistent with analysts possessing valuable short‐term stock‐picking skills.
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Maintaining economic output during the COVID‐19 pandemic results in benefits for firm shareholders but comes at a potential cost to public health. Using store‐level data, we examine how a CEO's political leaning impacts this trade‐off. We document that firms with a Republican‐leaning CEO experience a relative increase in store visits compared to firms with a Democratic‐leaning CEO. The increase in store visits is associated with higher sales and positive abnormal stock returns. However, we also document higher COVID‐19 transmission rates and more employee safety complaints in communities where establishments with higher store traffic are managed by a Republican‐leaning CEO.
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We develop a new method to estimate Tobin's Qs of conglomerate divisions without relying on standalone firms. Divisional Qs differ considerably from those of standalone firms across industries, over time, and in their sensitivity to economic shocks. The differences are explained by intraconglomerate covariance structures and access to internal capital markets that mitigate external financing frictions. Consequently, the Qs capture variation in the allocation of assets in the economy: within firms through internal capital markets and across focused and diversified firms through diversifying acquisitions. Overall, our method provides opportunities to study the economic mechanisms that explain corporate diversification.
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Non‐deal roadshows (NDRs) are private meetings between management and institutional investors, typically organized by sell‐side analysts. We find that around NDRs, local institutional investors trade heavily and profitably, while retail trading is significantly less informed. Analysts who sponsor NDRs issue significantly more optimistic recommendations and target prices, together with more “beatable” earnings forecasts, consistent with analysts issuing strategically biased forecasts to win NDR business. Our results suggest that NDRs result in a substantial information advantage for institutional investors and create significant conflicts of interests for the analysts who organize them.
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This paper quantifies the aggregate effects of financing constraints. We start from a standard dynamic investment model with collateral constraints. In contrast to the existing quantitative literature, our estimation does not target the mean leverage ratio to identify the scope of financing frictions. Instead, we use a reduced‐form coefficient from the recent corporate finance literature that connects exogenous debt capacity shocks to corporate investment. Relative to a frictionless benchmark, collateral constraints induce losses of 7.1% for output and 1.4% for total factor productivity (TFP) (misallocation). We show these estimated losses tend to be more robust to misspecification than estimates obtained by targeting leverage.
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Journals
Topic
- Bond (325)
- Mergers and Acquisitions (94)
- CEO (69)
- Capital Structure (32)
- Director (26)
Resource type
- Journal Article (6,024)
Publication year
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Between 1900 and 1999
(4,309)
- Between 1940 and 1949 (67)
- Between 1950 and 1959 (544)
- Between 1960 and 1969 (787)
- Between 1970 and 1979 (1,276)
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Between 2000 and 2024
(1,715)
- Between 2000 and 2009 (783)
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- Between 2020 and 2024 (252)