Knowledge that Transforms

This study examines the relationship between corporate asset growth rates and bond performance, uncovering a strong inverse relationship between the two. Higher asset growth increases asset value, potentially offering greater protection to bondholders and leading to lower bond returns. By decomposing bond returns into initial yields and subsequent yield changes, our analysis supports this expectation and suggests that investors may overreact to asset growth, as investor sentiment significantly influences bond yields in response to it. Finally, drawing on insights from leverage-based Q-theory, we examine how stock returns respond to asset growth, accounting for its effect on bond performance.

In this paper, we analyze the key drivers of bond covenant prices by employing a novel measurement approach based on secondary market data. We find that covenant prices vary significantly over time and are associated with market-wide credit risk, volatility, and macroeconomic variables. Apart from the time-series dynamics, there is also significant variation across bond and firm characteristics. In particular, covenant prices increase with the riskiness of bonds and are higher for firms that have more growth options, more tangible assets, and are smaller. Furthermore, we document a positive correlation between the prices of covenants and their subsequent inclusion rates.

We propose a new private information measure based on a model of strategic trade optimization in the cross section of securities. Investors receive liquidity and private information shocks and optimize trading across securities, accounting for price impact (Kyle’s λ). The model yields a simple private information measure: λ×OIB (order imbalance). Intuitively, order imbalance is more likely to be information-driven when trading is expensive. We validate our measure by showing that it is greater for smaller firms with higher analyst dispersion, peaks with insider trades, helps explain return reversals, predicts return volatility, and increases before M&A announcements and after analyst coverage terminations.

This paper examines global sources of short sellers’ informational advantage by analyzing their trading around public news releases in 38 countries. I find that shorts on negative news have stronger predictive power than nonnews shorts, but only in countries with high-quality public information, more news per stock, and higher illiquidity. These results indicate that some country-level factors discourage short sellers from trading on public information. Short sellers’ informational advantage in most countries seems to arise from their access to private information, as evidenced by their ability to anticipate future negative news and their trading in unison with insiders.

This study investigates the role of passive investors in the equity lending market by utilizing the expansion of exchange-traded fund (ETF) markets due to the Bank of Japan’s (BOJ) ETF purchasing program. We find that the BOJ’s purchases increase equity prices particularly for stocks with limited availability in the equity lending market. However, over the longer term, the BOJ’s cumulative purchases reduce lending fees, thus weakening the program’s effects. These findings suggest that ETF managers supply stocks that constitute ETFs to the equity lending market, and the lending behavior of ETFs, influenced by the BOJ’s program, alleviates short-selling constraints.

Internalization happens when orders submitted through the same broker are intentionally matched to each other on-exchange or off-exchange. We study the impact of allowing (modes of) internalization on trading rates, investor welfare, and payment for order flow (PFOF). Internalization affects the choice between limit orders and market orders and the participation of dealers in trading. Greater dealer participation creates a greater scope for PFOF. A crucial determinant is the size of the tick. For small ticks, compared with the absence of internalization, its presence leads to higher trading rates, lower investor welfare, and more PFOF. The opposite holds for wide ticks.

We investigate intraday return dynamics in currency markets around FOMC announcements. Using comprehensive high-frequency exchange rate data, we reveal that post-FOMC announcement returns are significantly low, cancelling out approximately 65% of positive pre-FOMC announcement drifts. These post-announcement reversals mainly result from uncertainty resolution and are mostly realized between 12 and 24 hours after FOMC announcements. This return behavior is significantly related to the negative jump volatilities driven by FOMC announcements. Our findings suggest that our signed jump volatility measures capture informational shocks and uncertainty resolutions and tend to be high under illiquid market conditions.

We apply machine learning techniques to predict international stock returns using firm characteristics. Market-specific training is important, as neural network models (NNs) achieve stronger results when they are trained in each market separately than in a global model trained with U.S. data. NNs outperform linear models in predicting stock return rankings and forming profitable portfolios. In contrast, regression trees underperform linear models when the number of observations is low. We also show that adding variables constructed from U.S. firm characteristics, which may contain information beyond the characteristics of international stocks, further enhances the return predictability of market-specific NNs.

We reconsider the excess volatility puzzle through the lens of a model in which agents believe they can predict dividend growth when in fact they cannot. Besides excess volatility in the time series, the model explains the value premium, and the explanatory power of the value factor. In support of the model, we show that analysts’ earnings forecasts align with market valuation and that analysts are far more optimistic about growth stocks than they are about value stocks. Using both survey and price data, we show that the same mechanism can explain the excess returns earned by investing in high-interest rate currencies.

We study nine equity markets between 1900 and 1925 to provide an out-of-sample test of some major asset pricing anomalies during a period in which anomalies had not been documented. We find strong evidence of momentum in almost every market. We find no evidence of long-term reversals, which, coupled with the limited presence of institutional investors, suggests that underreaction should be considered as a key aspect of behavioral theories of momentum. We also find evidence for the size effect, betting-against-beta, and the outperformance of low volatility stocks, whereas we find mixed evidence of short-term reversal.