A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.

• Cordell, L., Roberts, M. R., & Schwert, M. (2023). CLO Performance. The Journal of Finance, 78, 1235–1278.

  We study the performance of collateralized loan obligations (CLOs) to understand the market imperfections giving rise to these vehicles and their corresponding economic costs. CLO equity tranches earn positive abnormal returns from the risk‐adjusted price differential between leveraged loans and CLO debt tranches. Debt tranches offer higher returns than similarly rated corporate bonds, making them attractive to banks and insurers that face risk‐based capital requirements. Temporal variation in equity performance highlights the resilience of CLOs to market volatility due to their closed‐end structure, long‐term funding, and embedded options to reinvest principal proceeds.

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• Dávila, E. (2023). Optimal Financial Transaction Taxes. The Journal of Finance, 78, 5–61.

  This paper characterizes the optimal transaction tax in an equilibrium model of financial markets. If investors hold heterogeneous beliefs unrelated to their fundamental trading motives and the planner calculates welfare using any single belief, a positive tax is optimal, regardless of the magnitude of fundamental trading. Under some conditions, the optimal tax is independent of the planner's belief. The optimal tax can be implemented by adjusting its value until total volume equals fundamental volume. Knowledge of (i) the share of nonfundamental trading volume and (ii) the semielasticity of trading volume to tax changes is sufficient to quantify the optimal tax.

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• Davydiuk, T., Richard, S., Shaliastovich, I., & Yaron, A. (2023). How Risky Are U.S. Corporate Assets? The Journal of Finance, 78, 141–208.

  We use market data on corporate bonds and equities to measure the value of U.S. corporate assets and their payouts to investors. In contrast to equity dividends, total corporate payouts are highly volatile, turn negative when corporations raise capital, and are acyclical. At the same time, corporate asset returns are similar to returns on equity, and both are exposed to fluctuations in economic growth. To reconcile this evidence, we argue that acyclical but volatile net repurchases mask the exposure of total payouts' cash components to economic growth risks. We develop an asset pricing framework to quantitatively illustrate this economic channel.

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• Detzel, A., Novy‐Marx, R., & Velikov, M. (2023). Model Comparison With Transaction Costs. The Journal of Finance, 78, 1743–1775.

  Failing to account for transaction costs materially impacts inferences drawn when evaluating asset pricing models, biasing tests in favor of those employing high‐cost factors. Ignoring transaction costs, Hou, Xue, and Zhang (2015, Review of Financial Studies, 28, 650–705) q‐factor model and Barillas and Shanken (2018, The Journal of Finance, 73, 715–754) six‐factor models have high maximum squared Sharpe ratios and small alphas across 205 anomalies. They do not, however, come close to spanning the achievable mean‐variance efficient frontier. Accounting for transaction costs, the Fama and French (2015, Journal of Financial Economics, 116, 1–22; 2018, Journal of Financial Economics, 128, 234–252) five‐factor model has a significantly higher squared Sharpe ratio than either of these alternative models, while variations employing cash profitability perform better still.

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• Duffee, G. R. (2023). Macroeconomic News in Asset Pricing and Reality. The Journal of Finance, 78, 1499–1543.

  Revisions in successive Greenbook forecasts of quarterly real GDP growth proxy for news of current and expected future economic growth. In the sample 1975 through 2015, news of future growth is slightly negatively related to contemporaneous changes in Treasury bond yields, while news of current growth is strongly positively related to changes in these yields. Both results are difficult to reconcile with a representative agent's bondholding first‐order condition. A continuous‐time dynamic model of output attributes almost all of the covariation with yields to martingale innovations in log output and a minimal amount to innovations in the conditional drift of log output.

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• Farmer, L. E., Schmidt, L., & Timmermann, A. (2023). Pockets of Predictability. The Journal of Finance, 78, 1279–1341.

  For many benchmark predictor variables, short‐horizon return predictability in the U.S. stock market is local in time as short periods with significant predictability (“pockets”) are interspersed with long periods with no return predictability. We document this result empirically using a flexible time‐varying parameter model that estimates predictive coefficients as a nonparametric function of time and explore possible explanations of this finding, including time‐varying risk premia for which we find limited support. Conversely, pockets of return predictability are consistent with a sticky expectations model in which investors slowly update their beliefs about a persistent component in the cash flow process.

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• Fleckenstein, M., & Longstaff, F. A. (2023). Small Business Equity Returns: Empirical Evidence From the Business Credit Card Securitization Market. The Journal of Finance, 78, 389–425.

  We present a new approach for estimating small business equity returns. This approach applies the Merton (1974) credit model to the returns on entrepreneurial business credit card debt securitizations and solves for the implied equity returns for the small businesses owned by the cardholders. The estimated small business equity premium is 10.74%. The standard deviation of small business equity returns is 56.37%. We validate the methodology by applying it to investment‐grade corporate bonds and recovering a public equity premium of 6.17%.

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• Fonseca, J. (2023). Less Mainstream Credit, More Payday Borrowing? Evidence From Debt Collection Restrictions. The Journal of Finance, 78, 63–103.

  Governments regulate debt collectors to protect consumers from predatory practices. These restrictions may lower repayment, reducing the supply of mainstream credit and increasing demand for alternative credit. Using individual credit record data and a difference‐in‐differences design comparing consumers in states that tighten restrictions on debt collection to those in neighboring states that do not, I find that restricting collections reduces access to mainstream credit and increases payday borrowing. These findings provide new evidence of substitution between alternative and mainstream credit and point to a trade‐off between shielding consumers from certain collection practices and pushing them into higher cost payday lending markets.

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• Gargano, A., Giacoletti, M., & Jarnecic, E. (2023). Local Experiences, Search, and Spillovers in the Housing Market. The Journal of Finance, 78, 1015–1053.

  Recent local price growth explains differences in search behavior across prospective homebuyers. Those experiencing higher growth in their postcode of residence search more broadly across locations and house characteristics, without changing attention devoted to individual sales listings, and have shorter search duration. Effects are stronger for homeowners, in particular those living in less wealthy areas and looking for a new primary residence. We use reduced‐form analysis and a quantitative equilibrium model to show that the expansion of search breadth translates into widespread spillovers onto house sales prices and inventories of listings across postcodes within a metropolitan area.

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• Gathergood, J., Hirshleifer, D., Leake, D., Sakaguchi, H., & Stewart, N. (2023). Naïve Buying Diversification and Narrow Framing by Individual Investors. The Journal of Finance, 78, 1705–1741.

  We provide the first tests to distinguish whether individual investors equally balance their overall portfolios (naïve portfolio diversification, NPD) or, in contrast, equally balance the values of same‐day purchases of multiple assets (naïve buying diversification, NBD). We find NBD in purchases of multiple stocks, and in mixed purchases of individual stocks and funds. In contrast, there is little evidence of NPD. Evidence suggests that NBD arises due to stock picking behavior and neglect of diversification. These findings suggest that behavioral finance theory should incorporate transaction, as well as portfolio, framing.

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