We use credit card data to estimate the impact of increasing minimum payments on delinquency, payments, spending, and write-offs. Our identification strategy exploits an unusual institutional feature: Borrowers can use their account to make purchases with both revolving loans (on which minimum payments increased) and term loans (on which there was no change). Payment increases by delinquent borrowers are insufficient to match increasing minimums, resulting in lower cure rates and an increase in write-offs. Affected borrowers migrate away from these accounts by decreasing charges and increasing payments, consequently lowering the interest earned by the bank.

Using survey data, we analyze institutional investors’ expectations about the future performance of fund managers and the impact of those expectations on asset allocation decisions. We find that institutional investors allocate funds mainly on the basis of fund managers’ past performance and of investment consultants’ recommendations, but not because they extrapolate their expectations from these. This suggests that institutional investors base their investment decisions on the most defensible variables at their disposal and supports the existence of agency considerations in their decision making.

We consider a broad class of dynamic portfolio optimization problems that allow for complex models of return predictability, transaction costs, trading constraints, and risk considerations. Determining an optimal policy in this general setting is almost always intractable. We propose a class of linear rebalancing rules and describe an efficient computational procedure to optimize with this class. We illustrate this method in the context of portfolio execution and show that it achieves near optimal performance. We consider another numerical example involving dynamic trading with mean-variance preferences and demonstrate that our method can result in economically large benefits.

This article empirically examines the interaction between entrepreneurial plaintiff firm litigation and venture capital (VC). The data indicate that, relative to nonplaintiffs, firms that litigate prior to (after) obtaining VC i) receive financing from less (more) reputable venture capitalists (VCs), ii) are subject to greater (similar) oversight by VCs, iii) receive less (more) VC funding, iv) are more likely to exit through an initial public offering than through an acquisition, and v) are less likely to be liquidated when litigation occurs after VC financing. The results are robust to different specifications, methodologies, and endogeneity checks.

We compare two bootstrap methods for assessing mutual fund performance. The first produces narrow confidence intervals due to pooling over time, whereas the second produces wider confidence intervals because it preserves the cross correlation of fund returns. We then show that the average U.K. equity mutual fund manager is unable to deliver outperformance net of fees under either bootstrap. Gross of fees, 95% of fund managers on the basis of the first bootstrap and all fund managers on the basis of the second bootstrap fail to outperform the luck distribution of gross returns.

This paper investigates the impact of a firm’s annual report readability and ambiguous tone on its borrowing costs. We find that firms with larger 10-K file sizes and a higher proportion of uncertain and weak modal words in 10-Ks have stricter loan contract terms and greater future stock price crash risk. Our results suggest that the readability and tone ambiguity of a firm’s financial disclosures are related to managerial information hoarding. Shareholders of firms with less readable and more ambiguous annual reports not only suffer from less transparent information disclosure but also bear the increased cost of external financing.

We study the role of domestic and global factors in the payoffs of portfolios mimicking carry, dollar-carry, and momentum strategies. Using factors summarizing large data sets of macroeconomic and financial variables, we find that global equity-market factors are predictive for carry-trade returns, whereas U.S. inflation and consumption variables drive dollar-carry-trade payoffs, momentum returns are predominantly driven by U.S. inflation factors, and global factors capture the countercyclical nature of currency premia. We also find predictability in the exchange-rate component of each strategy and demonstrate strong economic value for risk-averse investors with mean-variance preferences, regardless of base currency.

We model and test the relations between the team management of mutual funds, managers’ ability, performance, and holdings. Our model predicts that team-managed funds perform better and behave more conservatively than single-manager funds. However, the effect of team management is masked in equilibrium because high-ability managers rationally self-select into single-manager funds. Consistent with the model’s prediction, we find that team-managed funds perform better and deviate less from their benchmark allocations than single-manager funds with the same characteristics. These differences are marked after we control for the endogenous self-selection of managers.

Population-wide increase in life expectancy is a source of aggregate risk. Longevity-linked securities are a natural instrument to reallocate that risk. This paper extends the standard Campbell–Viceira (2005) strategic asset allocation model by including a longevity-linked investment possibility. Model estimation, based on prices for standardized annuities publicly offered by U.S. insurance companies, shows that aggregate shocks to survival probabilities are predictors for long-term returns of the longevity-linked securities, and reveals an unexpected predictability pattern. Valuation of longevity risk premium confirms that longevity-linked securities offer inexpensive funding opportunities to asset managers.

We investigate whether long-term and short-term components of typical conditioning variables in asset pricing studies, such as the dividend yield or yield spread, have different implications for optimal asset allocation. We argue that short-term components relate mostly to momentum, and long-term components relate mostly to mean-reversion effects, respectively. Therefore, they may have a different information content for investors with different horizons. We obtain improvements in terms of out-of-sample Sharpe ratios and expected utilities for decomposed state variables that directly reflect information related to the stock market, such as the dividend yield and stock market trend.

The launch of the Single Supervisory Mechanism (SSM) was an historic event. Beginning in Nov. 2014, the most significant banks came under the direct supervision of the European Central Bank (ECB), while national supervisory authorities (NSAs) maintained direct supervision of the remaining banks. Thus, supervision is conducted on two levels, which could cause inconsistency problems. Did the behavior of the significant banks differ from that of the less significant banks during the SSM launch? We find that the significant banks reduced their lending activity more than the less significant banks did in order to shrink their balance sheets and increase their capitalization.

On the day that dividends are paid, we find a significant positive mean abnormal return that is completely reversed over the following days. This dividend pay date effect has strengthened since the 1970s and is consistent with the temporary price pressure hypothesis. The pay date effect is concentrated among stocks with dividend reinvestment plans (DRIPs) and is larger for stocks with a higher dividend yield, greater DRIP participation, and greater limits to arbitrage. Over time, profits from a trading strategy that exploits this behavior are positively related to the dividend yield and spread and negatively associated with aggregate liquidity.

We consistently show that in large equity markets, the dividend–price ratio is significantly related to the growth of future dividends. To uncover this relation, we use monthly dividends and a mixed data sampling technique, which allows us to address within-year seasonality. Our approach avoids the use of overlapping observations and at the same time reduces the impact of price volatility on the dividend–price ratio. An empirical analysis using market-level data from the United States, United Kingdom, Canada, and Japan strongly supports the dividend growth predictability hypothesis, suggesting that time aggregation of dividends eliminates significant information.