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

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Results 114 resources

  • The media can impose reputational costs on firms because of its important role as an information intermediary and its ability to negatively slant coverage. We exploit a quasi-natural experiment that holds constant the information event across firms but varies the availability of a major news outlet in local markets. We find that firms subject to the threat of slanted coverage suppress the release of negative information before the event and release it subsequently. Our results are consistent with theory on the active role firms can play in managing their reputational capital through anticipatory actions to avoid negative media coverage.

  • We model debt restructurings that could endogenously end in bankruptcy, and study spillovers to competitors’ operating decisions, profits, restructuring outcomes and security prices. We show that while bankruptcy could cause the firm’s share price to drop, bankruptcy always signals good news about the firm. We identify the conditions under which a bankruptcy also signals good news about competitors. We demonstrate that when a firm’s bankruptcy costs are relatively small, bankruptcy raises its share price while lowering the prices of competitors’ shares and debt as well as boosting the probability that they will enter bankruptcy. When there is little information asymmetry about the firm’s prospects, or the information asymmetry is about industry prospects, bankruptcy raises competitors’ share and debt prices and lowers their probability of bankruptcy.

  • We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals—an average of the asset’s past price changes and the asset’s degree of overvaluation—and “waver” over time in the relative weight they put on them. The model predicts that good news about fundamentals can trigger large price bubbles, that bubbles will be accompanied by high trading volume, and that volume increases with past asset returns. We present empirical evidence that bears on some of the model’s distinctive predictions.

  • In the period surrounding World War I, US firms sharply increased investment in fixed assets and working capital to accommodate large increases in demand associated with the war. Concurrently, the US adopted an excess profits tax, which created a tax bias in favor of equity financing. Despite this tax bias, firms in need of external funds largely issued debt, not equity, to finance investment spikes when the excess profits tax was in effect. Further, we find these firms systematically reduced debt after the war, whereas other firms did not. The results support models that link the dynamics of firms’ financing decisions with the dynamics of their investment opportunities and are inconsistent with models that emphasize taxes as a primary determinant of financing decisions.

  • The paper shows that lottery-like stocks are hedges against unexpected increases in market volatility. The loading on the aggregate volatility risk factor explains the majority of low abnormal returns to stocks with high maximum returns in the past month (Bali et al., 2011) and high expected skewness (Boyer et al., 2010). Aggregate volatility risk also explains the new evidence that the maximum effect and the skewness effect are stronger for firms with high market to book or high expected probability of bankruptcy.

  • To assess stock market informational efficiency with minimal data snooping, we take the view of a statistician with little knowledge of finance. The statistician uses techniques such as least squares to estimate peer-implied fair values from the market values of replicating portfolios with the same accounting statements as the company being valued. Divergence of a company's peer-implied value estimate from its market value represents mispricing, motivating a convergence trade that earns risk-adjusted returns of up to 10% per year and is economically significant for both large and small cap firms. The rate of convergence decays to zero over the subsequent 34 months.

  • We conduct face-to-face interviews with bank chief executive officers to classify 397 banks across 21 countries as relationship or transaction lenders. We then use the geographic coordinates of these banks’ branches and of 14,100 businesses to analyze how the lending techniques of banks near firms are related to credit constraints at two contrasting points of the credit cycle. We find that while relationship lending is not associated with credit constraints during a credit boom, it alleviates such constraints during a downturn. This positive role of relationship lending is stronger for small and opaque firms and in regions with a more severe economic downturn. Moreover, relationship lending mitigates the impact of a downturn on firm growth and does not constitute evergreening of loans.

  • We examine the effects of diversity in the board of directors on corporate policies and risk. Using a multidimensional measure, we find that greater board diversity leads to lower volatility and better performance. The lower risk levels are largely due to diverse boards adopting more persistent and less risky financial policies. However, consistent with diversity fostering more efficient (real) risk-taking, firms with greater board diversity also invest persistently more in research and development (R&D) and have more efficient innovation processes. Instrumental variable tests that exploit exogenous variation in firm access to the supply of diverse nonlocal directors indicate that these relations are causal.

  • This paper studies equilibrium in a pure exchange economy with unobservable Markov switching growth regimes and beliefs-dependent risk aversion (BDRA). Risk aversion is stochastic and depends nonlinearly on consumption and beliefs. Equilibrium is obtained in closed form. The market price of risk, the interest rate, and the stock return volatility acquire new components tied to fluctuations in beliefs. A three-regime specification is estimated using the generalized method of moments (GMM). Model moments match their empirical counterparts for a variety of unconditional moments, including the equity premium, stock returns volatility, and the correlations between stock returns and consumption and dividends. Dynamic features of the data, such as the countercyclical behaviors of the equity premium and volatility, are also captured. Model volatility provides a good fit for realized volatility. A new factor, the information risk premium, is found to be a strong predictor of future excess returns. These results are obtained with an estimated risk aversion fluctuating between 1.44 and 1.93.

  • The majority of common stocks that have appeared in the Center for Research in Security Prices (CRSP) database since 1926 have lifetime buy-and-hold returns less than one-month Treasuries. When stated in terms of lifetime dollar wealth creation, the best-performing 4% of listed companies explain the net gain for the entire US stock market since 1926, as other stocks collectively matched Treasury bills. These results highlight the important role of positive skewness in the distribution of individual stock returns, attributable to skewness in monthly returns and to the effects of compounding. The results help to explain why poorly diversified active strategies most often underperform market averages.

Last update from database: 6/11/24, 11:00 PM (AEST)