Journal of Financial Research最新文献

In this article, we use a recently introduced asymmetry measure, IE, to measure the idiosyncratic asymmetry of commodity futures returns and find that idiosyncratic asymmetry negatively and significantly predicts commodity futures returns cross sectionally. Furthermore, we find that a long–short trading strategy based on idiosyncratic asymmetry generates significant abnormal returns, which cannot be explained by traditional risk factors in commodity futures and persists up to 12 months. Moreover, idiosyncratic asymmetry appears to be a priced factor in commodity futures with significant risk premium. Finally, we confirm that IE is better at capturing the pricing effect of idiosyncratic asymmetry than the traditional skewness measure.

Different industries exhibit significantly different leverage; companies in the real estate investment trust (REIT) and technology/hardware sectors are extreme examples. In the United States, the leverage ratio is twice as high for REITs (50%) as compared to non-real-estate firms (around 25%), and the technology/hardware sector has the lowest ratio (around 17%). We theoretically and empirically analyze their differences. By decomposing the difference into three channels, we find that the industry-specific channel explains around 67% for REITs and 68% for technology/hardware firms; the value-based channel is mostly responsible for the remaining portion. Taking the nonlinear influences of extreme values into account, the relevance of the industry-specific channel is considerably reduced.

We use a stochastic frontier model to estimate a firm's capacity overhang. We find that excess capacity is positively related to a drop in new capital expenditures, an accumulation of depleted long-term assets, and outright sales of investment assets. However, the sale of long-term assets (property, plant, and equipment [PP&E]) peaks for intermediate levels of excess capacity and then declines. We attribute this to growth options. We test for evidence of a preference ordering in the firm's choice of responding to excess capacity and find evidence for a pecking order in firm disinvestment, where sales of long-term assets are a measure of last resort.

We empirically examine the cash flow statements for Japanese banks and whether their managers engage in classification shifting to temper concerns about risk exposure. To create a buffer against liquidity shocks, they shift cash flows from investing and/or financing activities to operating activities. We also find robust evidence that classification shifting intensifies in higher risk situations. Although prior research on managerial discretion focuses on earning management, we are the first to show cash flow management to avoid sequential negative changes in operating cash flows. We show that these activities convey valuable information about changes in banks' risk exposure.

Building on capital structure and product market interactions, and the role of debt enforcement in leveraged firms' investments, we examine whether cross-country debt enforcement can produce different associations between financial leverage and product failures. Results show that different debt enforcement systems can generate opposite leverage effects. In countries with weak/nearly ineffective debt enforcement, financial leverage shows an incentive investment effect due to low default costs, and thus highly leveraged firms tend to invest more and are less likely to have product failures. Conversely, in countries with strict/effective debt enforcement, distressed companies tend to have an underinvestment effect and more product failures.

I study the options-implied market risks that affect US stock–bond correlations from 2007 to 2021. I discover that US stock and bond market uncertainty, stock market tail risk, and global credit-default risk are dominant contributors to changing stock–bond correlations during the global financial crisis (GFC) period. However, these market risks collectively contribute much less to time-varying correlations in the post-GFC period. Furthermore, stock–bond correlations rise in times of rising US and global bond market risks. Rising stock market uncertainty raises stock–bond correlations in the GFC period but lowers them in the post-GFC period. My results disentangle the risks of stock and bond markets and show that equity tail risk, bond market risk, and stock market uncertainty are dominant factors in changing stock–bond diversification benefits in periods of market turmoil.

In this article, we investigate the divergence between credit ratings (CRs) and Moody's market-implied ratings (MIRs). Our evidence shows that rating gaps provide incremental information to the market regarding issuers' default risk over CRs alone in the short horizon and outperform CRs over extended horizons. The predictive ability of rating gaps is greater for more opaque and volatile issuers. Such predictability was more pronounced during the 2008 financial crisis but weakened in the post–Dodd–Frank Act period. This finding is consistent with credit rating agencies’ efforts to improve their performance when facing regulatory pressure. Moreover, our analysis identifies rating-gap signals that do (do not) lead to subsequent Moody's actions to place issuers on negative outlook and watchlists. We find that negative signals from MIR gaps have a real economic impact on issuers’ fundamentals such as profitability, leverage, investment, and default risk, thus supporting the recovery-efforts hypothesis.

In this article, I study the effect of the Money Market Fund Liquidity Facility (MMLF) on corporate short-term borrowing costs. Although MMLF loans accept a broader range of collateral acquired from money market funds (MMFs) than Asset-Backed Commercial Paper Money Market Mutual Fund Liquidity Facility (AMLF) loans, their higher loan rates could make the intervention less effective. I find the average yield has decreased by 20–24 basis points. The yield-decreasing effects of the MMLF are stronger for securities issued by eligible non-US firms, non-asset-backed commercial paper securities that are newly accepted as collateral under the MMLF, and securities held by affiliated MMFs. However, I do not find an additional yield-decreasing effect of the MMLF on lower rated securities or nonfinancial sector securities. After the implementation of the MMLF, domestic MMFs seem to increase the weight of nonfinancial sector securities, which helps them achieve a higher return.

The Shenzhen Stock Exchange (SZSE) in China is unique worldwide in requiring disclosure of the timing, participants, and selected content of private in-house meetings between firm managers and outsider investors. We investigate whether these private meetings benefit hosting firms and their major outside institutional investors—blockholder mutual funds (i.e., funds with ownership ≥5%). Using a large data set of SZSE firms, we find that blockholder mutual funds have more access to private in-house meetings, and top management is more likely to be present, especially when a meeting is associated with negative news. Furthermore, when blockholder mutual funds attend negative-news meetings with top management, they are less likely to sell shares, their investment relationship with the hosting firm lasts longer, and hosting firms experience lower postmeeting stock return volatility. These findings suggest that private in-house meetings are an informative disclosure channel that improves social bonding between top management and blockholder mutual funds in ways that benefit hosting firms.

In this article, we propose a new theoretical approach for developing hedging strategies based on swap variance (SwV). SwV is a generalized risk measure equivalent to a polynomial combination of all moments of a return distribution. Using the S&P 500 index and West Texas Intermediate (WTI) crude oil spot and futures price data, as well as simulations by varying the distribution of asset returns, we investigate the dynamic differences between hedge ratios and portfolio performances based on SwV (with high moments) and variance (without high moments). We find that, on average, the minimizing-SwV hedging suggests more short futures contracts than minimizing-variance hedging; however, when market conditions deteriorate, the minimizing-SwV hedging suggests fewer short positions in futures. The superior posthedge performances of the mean-SwV hedged portfolios over the mean-variance hedged portfolios in highly volatile or extremely calm markets confirm the efficiency of the mean-SwV hedging strategy.