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 3,464 resources
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This paper studies the relation between volatility and informativeness in financial markets. We identify two channels (noise-reduction and equilibrium-learning) that determine the volatility-informativeness relation. When informativeness is sufficiently high (low), volatility and informativeness positively (negatively) comove in equilibrium. We identify conditions on primitives that guarantee that volatility and informativeness comove positively or negatively. We introduce the comovement score, a statistic that measures the distance of a given asset to the positive/negative comovement regions. Empirically, comovement scores (i) have trended downwards over the last decades, (ii) are positively related to value and idiosyncratic volatility and negatively to size and institutional ownership.
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Our paper relies on stock price reactions to colour words, in order to provide new dictionaries of positive and negative words in a finance context. We extend the machine learning algorithm of Taddy (2013), adding a cross-validation layer to avoid over-fitting. In head-to-head comparisons, our dictionaries outperform the standard bag-of-words approach (Loughran and McDonald, 2011) when predicting stock price movements out-of-sample. By comparing their composition, word-by-word, our method refines and expands the sentiment dictionaries in the literature. The breadth of our dictionaries and their ability to disambiguate words using bigrams both help to colour finance discourse better.
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How does common ownership affect innovation? We study this question using project-level data on pharmaceutical startups and their venture capital (VC) investors. We find that common ownership leads VCs to hold back projects, withhold funding, and redirect innovation at lagging startups. Effects are stronger where R&D costs are larger, consistent with common owners aiming to cut duplicate costs. Effects are also stronger where technological similarity is greater and preexisting competition is lower, consistent with common owners seeking market power for their surviving projects. Overall, common VC ownership appears to generate social benefits, via improved innovation efficiency, but also social costs.
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We study the importance of financial markets for (un)employment fluctuations in a model with matching frictions where firms borrow under limited enforcement. Borrowing affects employment through a ‘debt bargaining channel’: higher debt improves the bargaining position of employers with workers and increases the incentive to hire. We estimate the model structurally and find that the debt bargaining channel accounts for 26 percent of unemployment fluctuations. We find empirical support for the channel at the micro level using firm level data from Compustat.
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We study the distributional consequences of student debt forgiveness in present value terms, accounting for differences in repayment behavior across the earnings distribution. Full or partial forgiveness is regressive because high earners took larger loans, but also because, for low earners, balances greatly overstate the benefits of debt cancellation. Consequently, forgiveness would benefit the top decile as much as the bottom three deciles combined. Enrolling households who would benefit from income-driven repayment is less expensive and distributes more funds to lower-income households.
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Open banking facilitates data sharing consented to by customers who generate the data, with the regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks’ customer transaction data enables better borrower screening for fintechs. Open banking promotes competition if it helps level the playing field for all lenders in screening borrowers; however, if it over-empowers fintechs, it can also hinder competition and leave all borrowers worse off. Due to the credit quality inference from borrowers’ sign-up decisions, this remains true even if borrowers have the control of whether to share their banking data. We also study extensions with fintech affinities and data sharing on borrower preferences.
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The percentage of U.S. equity mutual funds that outperform the SPY ETF over the last 30 years decreases substantially as the horizon over which returns are measured is increased. Further, some funds with positive monthly alpha estimates have negative long-horizon abnormal returns. These results reflect positive skewness in the distribution of fund returns that increases with horizon, and highlight the limitations of conditional arithmetic means of short-horizon returns (e.g., alpha) for long-horizon investors. We tabulate an aggregate wealth loss of $1.02 trillion to mutual fund investors over our 30-year sample, when opportunity costs are based on beta-adjusted SPY returns.
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Revaluations of industry peers around horizontal acquisitions are negative when targets are private, but positive when they are public. We posit this “revaluation spread” arises because acquiring managers favor private targets when public firms are overvalued. Targets’ ownership status thus conveys information about industry assets’ misvaluation and triggers predictable revaluations. Supporting this idea, private acquisitions occur when private targets appear “cheaper” than public firms based on valuation multiples or the trading activity of industry insiders. The revaluation spread varies with overall market misvaluation, predicts future industry returns, and is unrelated to peers’ and industries’ fundamentals.
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Some events impact volatilities of most assets, asset classes, sectors and countries, causing serious damage to investment portfolios. The magnitude of such shocks is defined as global COVOL which is an abbreviation for global common volatility, a broad measure of all types of global financial risk. This paper introduces a statistical formulation of such events as common volatility innovations in both a multivariate volatility and an asset pricing context. Simulations verify the statistical performance of a simple but novel estimator and of a test to detect global COVOL. Two empirical examples show the events that have had the biggest impact on financial markets. The results are useful for portfolio optimization and risk forecasting.
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Using rich plant-level data, we analyze the relative performance of firms with inside and outside CEOs. We show that firms with outside CEOs achieve greater productivity improvements compared to firms with inside CEOs. Contrary to conventional wisdom, the relation is stronger in well-performing, rather than poorly performing, firms. Although part of the productivity growth differential comes from divesting low-performing, peripheral, low-tech, and unionized plants, most productivity improvements arise from streamlining continuing plants. Here, productivity is increased by consolidating products, changing the composition of investments toward newer capital, shifting to more capital-intensive production, adopting structured management practices, and improving labor productivity.
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Journals
Topic
- Bond (237)
- CEO (131)
- Mergers and Acquisitions (112)
- Director (80)
- Capital Structure (48)
Resource type
- Journal Article (3,464)
Publication year
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Between 1900 and 1999
(835)
- Between 1970 and 1979 (120)
- Between 1980 and 1989 (315)
- Between 1990 and 1999 (400)
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Between 2000 and 2024
(2,629)
- Between 2000 and 2009 (773)
- Between 2010 and 2019 (1,228)
- Between 2020 and 2024 (628)