The Jacobs Levy Center Research Paper Prizes are chosen from recent additions to the Jacobs Levy Center’s working paper series. The prizes, established in 2014, include a Best Paper award of $10,000 and one or more Outstanding Paper awards of $5,000.
Topics of the winning papers must fall within the scope of the Jacobs Levy Center’s mission, and hence, must have a focus on enhancing the understanding of financial markets through the study and promotion of quantitative techniques and methods as applied to such fields as the analysis of domestic and international stocks and bonds, and the management of investment portfolios.
Abstract:What explains cross-sectional dispersion in stock valuation ratios? We find that 75% of cross-sectional dispersion in valuation ratios is reflected in differences in future returns, while only 25% is reflected in differences in future earnings growth. We show a similar dominance of predicted returns for explaining the dispersion in return surprises. The lack of earnings growth differences at long horizons provides new evidence in favor of long-run return predictability. We reconcile these conclusions with previous literature which has found a strong relation between prices and future profitability. Our results support models in which the cross-section of stock valuation ratios is driven mainly by discount rates or mispricing rather than future earnings growth. Evaluating five models of the value premium, we find that models based on risk premia struggle to match our results, whereas models based on mispricing perform better.
Abstract: We study how regulation limiting ESG policies distorts financial market outcomes. In 2021 Texas enacted laws that prohibit municipalities from contracting with banks with certain ESG policies, leading to the exit of five of the largest municipal bond underwriters from the state. Issuers previously reliant on these underwriters face higher uncertainty and borrowing costs since the enactment of the laws. These effects are consistent with deterioration in underwriter competition as issuers face fewer potential underwriters. Texas issuers will incur $300-$500 million in additional interest on the $31.8 billion borrowed during the first eight months following enactment.
Abstract:We estimate financial institutions’ portfolio tilts that relate to stocks’ environmental, social, and governance (ESG) characteristics. We find ESG-related tilts totaling 6% of the investment industry’s assets under management in 2021. ESG tilts are significant at both the extensive margin (which stocks are held) and the intensive margin (weights on stocks held). The latter tilts are larger. Institutions divest from brown stocks more by reducing positions than by eliminating them. The industry tilts increasingly toward green stocks, due to only the largest institutions. Other institutions and households tilt increasingly toward brown stocks. UNPRI signatories tilt greener; banks tilt browner.
Abstract: An important debate exists around the extent to which retail investors make sustainable investments and why they do. We provide evidence relevant to this debate by investigating the aggregate trading patterns of retail investors around a comprehensive sample of key Environmental, Social, and Governance (ESG) news events for U.S. firms. We show that ESG news events appear to be an important and growing component of retail investors’ portfolio allocation decisions. Yet, inconsistent with non-pecuniary preferences, our evidence shows that retail investors mainly trade on this information when they deem it financially material to a company’s stock performance. We also find their net trading demand predicts future abnormal returns, consistent with retail traders benefiting from incorporating ESG-related information in their decision-making. Overall, we conclude that the average U.S. retail investor cares about firms’ ESG-related activities, but primarily to the extent they are financially material for company performance.
Abstract: We investigate whether various asset pricing models could hold in an efficient market. Assuming decade-old information should be priced correctly, we test whether a model assigns zero alpha to investment strategies that use only such information. The CAPM passes this test, but prominent multifactor models do not. Multifactor betas may help capture expected returns on mispriced stocks, but persistence in those betas distorts the stocks’ implied expected returns after prices correct. Such effects are strongest in large-cap stocks, whose multifactor betas are the most persistent. Hence, prominent multifactor models distort expected returns, absent mispricing, for the largest, most liquid stocks.
Abstract: We document challenges to the notion of a trade-off between systematic risk and expected returns when analyzing the empirical ability of stock characteristics to predict excess returns. First, we measure individual stocks’ exposures to all common latent factors using a novel high-dimensional method. These latent factors appear to earn negligible risk premia despite explaining virtually all of the common time-series variation in stock returns. Next, we use machine learning methods to construct out-of-sample forecasts of stock returns based on a wide range of characteristics. A zero-cost beta-neutral portfolio that exploits this predictability but hedges all undiversifiable risk delivers a Sharpe ratio above one with no correlation with any systematic factor, thus rejecting the central prediction of the arbitrage pricing theory.
Abstract: We decompose corporate bond and equity index returns into duration-matched government bond returns and the excess returns over this duration-matched counterfactual, which we term duration-adjusted returns. Our decomposition leads to markedly different return patterns and asset pricing implications compared to previously used excess return definitions (i.e., returns in excess of Treasury bills). In particular, we find that investment-grade bonds earn a small credit risk premium, comparable in magnitude to the convenience yield, and that duration adjustment resolves the CAPM’s failure to price corporate bonds. These findings highlight the importance of adjusting for non-stationary interest rate environments in asset pricing tests
Pricing Public Information: The Role of Trade
Bradford (Lynch) Levy and Felix Nockher
Abstract: Using plausibly exogenous variation in the ability to short-sell, we provide evidence that public information is predominantly impounded into prices via trade. Studying the role of trade in the context of publicly-observed cash flow news, we find that only 6% of total price discovery is realized on announcement days with low trade. A portfolio strategy that focuses on stocks with high announcement-day trade yields monthly alpha of 2.46%. In contrast to the predictions of the literature on no-trade equilibria, our evidence suggests that trade plays a significant role in price discovery.
Abstract: Green assets delivered high returns in recent years. This performance reflects unexpectedly strong increases in environmental concerns, not high expected returns. German green bonds outperformed their higher-yielding non-green twins as the “greenium” widened, and U.S. green stocks outperformed brown as climate concerns strengthened. To show the latter, we construct a theoretically motivated green factor—a return spread between environmentally friendly and unfriendly stocks—and find that its positive performance disappears without climate-concern shocks. A theory-driven two-factor model featuring the green factor explains much of the recent underperformance of value stocks. Our evidence also suggests small stocks underreact to climate news.
Abstract: Risk-shifting by underperforming funds increases their demand for risky stocks. We investigate its contribution to the well known risk anomalies: the apparent overvaluation of stocks with high beta, idiosyncratic volatility, and skewness. We show that these anomalies are concentrated among stocks mainly held by laggard funds. Exploiting the Morningstar methodology change in 2002, whereby its “star” ratings became based on relative performance within a style category rather than across the entire fund universe, we show that the beta anomaly is significant only when beta is measured against the S&P 500 index for the pre-2002 period and against the relevant category index for the post-2002 period. Using a demand system approach we find that removing holdings of the bottom performance quintile of funds substantially reduces the beta anomaly returns.
Abstract: New technologies have reduced trading costs for retail investors. In this paper, I examine how the corresponding surge in retail investor trade is associated with the pricing of earnings. I measure retail investor trade with the number of Robinhood users holding a firm’s shares. I find increases in these relatively inexperienced investors are associated with a more positive market response to both positive and negative earnings surprises. This manifests in a more pronounced overall market response per unit of earnings surprise for positive earnings surprises but a muted market response for negative earnings surprises. Further intraday analysis suggests that retail investors respond to stock returns following the earnings announcement instead of the earnings news itself. Finally, in smaller firms and firms that are costly to sell short, and for both the most positive and negative earnings surprises, returns drift upward following the earnings announcement when retail trade is high.
Abstract: Municipal bond markets begin pricing increased risk of sea level rise (SLR) exposure in 2013, coinciding with upward revisions of SLR projections. The effect is present across maturities, but larger for long-maturity bonds. We do not observe similar patterns using measures of immediate flood risk. We apply a structural model of credit risk to show that municipal bond investors expect a one standard deviation increase in SLR exposure to correspond to a reduction of 2% to 5% in the present value or an increase of 1% to 3% in the volatility of the local government cash flows supporting debt repayment.
Abstract: We show that collateralized loan obligations (CLOs) add economic value by mitigating regulatory constraints imposed on financial intermediaries and addressing market incompleteness. CLO assets exhibit similar performance to loan mutual funds with nearly identical risk exposures and fees. CLO debt and equity tranches generate after-fee returns that are attractive relative to public benchmarks but commensurate with their systematic risk exposures. Before fees, equity tranches significantly outperform public benchmarks, which shows how managers capture the economic surplus created by CLOs. Temporal variation in equity performance highlights the resilience of CLOs to market volatility due to their long-term funding structure and the erosion of returns as the market has grown.
Dissecting Bankruptcy Frictions
Winston Wei Dou, Lucian Taylor, Wei Wang, and Wenyu Wang
Abstract: How efficient is corporate bankruptcy in the U.S.? Two frictions, asymmetric information and conflicts of interest among creditors, can cause several inefficiencies: excess liquidation, excess continuation, and excess delay. We find that the bankruptcy process is quite inefficient, mainly due to excess delay. Eliminating information asymmetries would increase average total payouts by 4%, and eliminating conflicts of interest would increase them by 18% more. Without these frictions, 14% more cases would be resolved pre-court, and the remaining court cases would be 73% shorter. With less delay, bankruptcy’s indirect costs would be much lower. In contrast, inefficiencies from excess liquidation and excess continuation are quite small.
Abstract: We model investing that considers environmental, social, and governance (ESG) criteria. In equilibrium, green assets have low expected returns because investors enjoy holding them and because green assets hedge climate risk. Green assets nevertheless outperform when positive shocks hit the ESG factor, which captures shifts in customers’ tastes for green products and investors’ tastes for green holdings. The ESG factor and the market portfolio price assets in a two-factor model. The ESG investment industry is largest when investors’ ESG preferences differ most. Sustainable investing produces positive social impact by making firms greener and by shifting real investment toward green firms.
Abstract: One of the hallmarks of the SEC’s investigative process is that it is shrouded in secrecy––only the SEC staff, high-level managers of the company being investigated, and outside counsel are typically aware of active investigations. We obtain novel data on all investigations closed by the SEC between 2000 and 2017––data that was heretofore non-public––and find that such investigations predict economically material declines in future firm performance. Despite evidence that the vast majority of these investigations are economically material, firms are not required to disclose them, and only 19% of investigations are initially disclosed. We examine whether corporate insiders exploit the undisclosed nature of these investigations for personal gain. Despite the undisclosed and economically material nature of these investigations, we find that insiders are not abstaining from trading. In particular, we find a pronounced spike in insider selling among undisclosed investigations with the most severe negative outcomes; and that abnormal selling activity appears highly opportunistic and earns significant abnormal returns. Our results suggest that SEC investigations are often undisclosed, economically material non-public events and that insiders are trading in conjunction with these events.
Risk Factors that Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns
Abstract: What are the fundamental risks in the economy? Which ones are systematic? Which ones are priced? Are they summarized well by existing models? I exploit unsupervised machine learning and natural language processing techniques to identify from the firms’ risk disclosures the types of risks firms face. The risks are described in plain words. I quantify how much each firm is exposed to each risk, design a test to classify them into systematic and idiosyncratic, and construct portfolios proxying for each risk. The portfolios are not spanned by the traditional factors. A factor model formed with the most discussed risks performs at least as well as the traditional ones, while not using any information from past returns.
Comovement in Arbitrage Limits
Abstract: Estimates of mispricing, such as deviations from no-arbitrage relations, strongly comove across five financial markets. One common component the arbitrage gap—explains the majority of variability in mispricing estimates for futures, Treasury securities, foreign exchange, and options. Prominent equity anomalies also comove significantly with the arbitrage gap. Variables affecting arbitrage capital availability, such as the TED spread and hedge-fund flows and returns, explain two-thirds of the arbitrage gap’s variation. During periods of tighter capital constraints, the comovement in mispricings becomes stronger. The findings support theoretical predictions that common sources of funding shocks can cause comovement in mispricings across markets.
Countercyclical Labor Income Risk and Portfolio Choices over the Life-Cycle
Abstract: I structurally estimate a life-cycle model of portfolio choices that incorporates the relationship between stock market returns and the skewness of idiosyncratic income shocks. The cyclicality of skewness can explain (i) low stock market participation among young households with modest financial wealth and (ii) why the equity share of participants slightly increases until retirement. With an estimated relative risk aversion of 5 and yearly participation cost of $290, the model matches the evolution of wealth, of participation and of the conditional equity share over the life-cycle. Nonetheless, I find that cyclical skewness increases the equity premium by at most 0.5%.
Risk Free Interest Rates
Jules van Binsbergen, William Diamond, and Marco Grotteria
Abstract: We estimate risk free rates unaffected by the convenience yield on safe assets by inferring them from risky options and futures prices. Our data provides time-varying estimates of the term structure of convenience yields from maturities of 1 month to 2.5 years at a minutely frequency. The convenience yield on government bonds equals about 40 basis points on average, is larger below 3 months maturity, and grows substantially during periods of financial distress. With our unique intraday estimates of the term structure of convenience yields, we estimate the high frequency response of convenience yields to monetary policy and quantitative easing. Convenience yields respond most strongly to central bank policy in the depths of the financial crisis, and both conventional and unconventional monetary stimulus reduce convenience yields. Additionally, a factor constructed from our measure of the term structure of convenience yields predicts excess bond returns even when controlling for commonly used factors in the literature. Finally, we study the dynamics of a large panel of other arbitrage spreads and find that our implied convenience yields predict other spreads and face the smallest idiosyncratic shocks, suggesting that they are highly informative measures of frictions in financial markets.
The Macroeconomic Announcement Premium
Jessica Wachter and Yicheng Zhu
Abstract: Empirical studies demonstrate striking patterns in stock market returns in relation to scheduled macroeconomic announcements. First, a large proportion of the total equity premium is realized on days with macroeconomic announcements, despite the small number of such days. Second, the relation between market betas and expected returns is far stronger on announcement days as compared with non-announcement days. Finally, these results hold for fixed-income investments as well as for stocks. We present a model with rare events that jointly explains these phenomena. In our model, which is solved in closed form, agents learn about a latent disaster probability from scheduled announcements. We quantitatively account for the empirical findings, along with other facts about the market portfolio.
Anomalies Abroad: Beyond Data Mining
Xiaomeng Lu, Robert Stambaugh, and Yu Yuan
Abstract: A pre-specified set of nine prominent U.S. equity return anomalies produce significant alphas in Canada, France, Germany, Japan, and the U.K. All of the anomalies are consistently significant across these five countries, whose developed stock markets afford the most extensive data. The anomalies remain significant even in a test that assumes their true alphas equal zero in the U.S. Consistent with the view that anomalies reflect mispricing, idiosyncratic volatility exhibits a strong negative relation to return among stocks that the anomalies collectively identify as overpriced, similar to results in the U.S.
Cyclical Dispersion in Expected Defaults
Joao Gomes, Marco Grotteria, and Jessica Wachter
Abstract: A growing literature shows that credit indicators forecast aggregate real outcomes. While researchers have proposed various explanations, the economic mechanism behind these results remains an open question. In this paper, we show that a simple, frictionless, model explains empirical findings commonly attributed to credit cycles. Our key assumption is that firms have heterogeneous exposures to underlying economy-wide shocks. This leads to endogenous dispersion in credit quality that varies over time and predicts future excess returns and real outcomes.
Abstract: We examine the relation between political connections and informed trading by corporate insiders at leading financial institutions during the Financial Crisis. We find strong evidence of a relation between political connections and informed trading, that the relation is strongest during the period in which TARP funds were disbursed, and strongest among TARP recipients. Notably, we find evidence of abnormal trading by politically connected insiders 30 days in advance of TARP infusions, and that these trades predict the market reaction to the infusion. Our results suggest that politically connected insiders had a significant information advantage during the Crisis and opportunistically timed their trades to exploit this advantage.
Lubos Pastor, Robert Stambaugh, and Lucian Taylor
Abstract: We derive equilibrium relations among active mutual funds’ key characteris- tics: fund size, expense ratio, turnover, and portfolio liquidity. As our model predicts, funds with smaller size, higher expense ratios, and lower turnover hold less liquid portfolios. A portfolio’s liquidity, a concept introduced here, depends not only on the liquidity of the portfolio’s holdings but also on the portfolio’s diversification. We derive simple, theoretically motivated measures of portfolio liquidity and diversification. Both measures have trended up over time. We also find larger funds are cheaper, funds trading less are larger and cheaper, and excessively large funds underperform, as our model predicts.
Using Stocks or Portfolios in Tests of Factor Models
Andrew Ang, Jun Liu, and Krista Schwarz
Abstract: We examine the efficiency of using individual stocks or portfolios as base assets to test asset pricing models using cross-sectional data. The literature has argued that creating portfolios reduces idiosyncratic volatility and allows more precise estimates of factor loadings, and con- sequently risk premia. We show analytically and empirically that smaller standard errors of portfolio beta estimates do not lead to smaller standard errors of cross-sectional coefficient estimates. Factor risk premia standard errors are determined by the cross-sectional distributions of factor loadings and residual risk. Portfolios destroy information by shrinking the dispersion of betas, leading to larger standard errors.
Jules van Binsbergen and Christian Opp
Abstract: We examine the importance of asset pricing anomalies for the real economy. When firms interpret public information in the way it is reflected in market prices, informational inefficiencies manifesting in financial markets as anomalies can cause material real inefficiencies. We estimate the joint dynamic distribution of firm characteristics that have been linked to anomalies and other firm variables, such as investment, capital, and value added. Based on a model that matches these joint dynamics, we then evaluate the counterfactual dynamic distribution of these quantities in an informationally efficient economy, and find significant deviations. Our results suggest that if financial- and academic institutions helped reduce and/or eliminate such anomalies they could provide large value added to the economy. We show that informational inefficiencies are particularly destructive for high Tobin’s q firms, and that the persistence and the amount of mispriced capital are major determinants of the real economic consequences.
Commodity Trade and the Carry Trade: A Tale of Two Countries
Robert Ready, Nikolai Roussanov, and Colin Ward
Paper | Knowledge at Wharton Story
Abstract: Persistent differences in interest rates across countries account for much of the profitability of currency carry trade strategies. The high-interest rate “investment” currencies tend to be “commodity currencies,” while low interest rate “funding” currencies tend to belong to countries that export finished goods and import most of their commodities. We develop a general equilibrium model of international trade and currency pricing in which countries have an advantage in producing either basic input goods or final consumable goods. The model predicts that commodity-producing countries are insulated from global productivity shocks through a combination of trade frictions and domestic production, which forces the final goods producers to absorb the shocks. As a result, the commodity country currency is risky as it tends to depreciate in bad times, yet has higher interest rates on average due to lower precautionary demand, compared to the final-good producer. The carry trade risk premium increases in the degree of specialization, and the real exchange rate tracks relative technological productivity of the two countries. The model’s predictions are strongly supported in the data.
Equilibrium Asset Pricing with Leverage and Default
Joao Gomes and Lukas Schmid
Abstract: We develop a general equilibrium model linking the pricing of stocks and corporate bonds to endogenous movements in corporate leverage and aggregate volatility. The model has heterogeneous firms making optimal investment and financing decisions and connects fluctuations in macroeconomic quantities and asset prices to movements in the cross-section of firms. Empirically plausible movements in leverage produce realistic asset return dynamics. Countercyclical leverage drives predictable variation in risk premia, and debt-financed growth generates a high value premium. Endogenous default produces countercyclical aggregate volatility and credit spread movements that are propagated to the real economy through their effects on investment and output.
Abstract: We empirically analyze the nature of returns to scale in active mutual fund management. We find strong evidence of decreasing returns at the industry level: As the size of the active mutual fund industry increases, a fund’s ability to outperform passive benchmarks declines. At the fund level, all methods considered indicate decreasing returns, though estimates that avoid econometric biases are insignificant. We also find that the active management industry has become more skilled over time. This upward trend in skill coincides with industry growth, which precludes the skill improvement from boosting fund performance. Finally, we find that performance deteriorates over a typical fund’s lifetime. This result can also be explained by industry-level decreasing returns to scale.
Abstract: Does macroeconomic uncertainty increase or decrease aggregate growth and asset prices? To address this question, we decompose aggregate uncertainty into ‘good’ and ‘bad’ volatility components, associated with positive and negative innovations to macroeconomic growth. We document that in line with our theoretical framework, these two uncertainties have opposite impact on aggregate growth and asset prices. Good uncertainty predicts an increase in future economic activity, such as consumption, output, and investment, and is positively related to valuation ratios, while bad uncertainty forecasts a decline in economic growth and depresses asset prices. Further, the market price of risk and equity beta of good uncertainty are positive, while negative for bad uncertainty. Hence, both uncertainty risks contribute positively to risk premia, and help explain the cross-section of expected returns beyond cash flow risk.
Abstract: We introduce a new reduced form term structure model where the short rate and market prices of risk are nonlinear functions of Gaussian state variables but yields are nevertheless given in closed form. Empirically, our three-factor nonlinear Gaussian model matches both the time-variation in expected excess returns and yield volatilities of U.S. Treasury bonds. During low volatility periods Treasury bonds are more attractive investments than standard Gaussian models predict. A significant part of expected excess returns in the nonlinear model is not explained by a linear combination of yields. This suggests that more information about expected excess returns is contained in the yield curve than previously thought, but in a nonlinear way.