Knowledge that Transforms

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.

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.

This paper examines how culture affects information asymmetry in financial markets. We extract firms traded in the United States but headquartered in regions sharing Chinese culture (“Chinese firms”), and we manually identify a group of U.S. analysts of Chinese ethnic origin (“Chinese analysts”). We find that Chinese analysts issue more accurate forecasts on Chinese firms than non-Chinese analysts. The effect is stronger among firms with less transparent information environments. Further evidence suggests that cultural proximity can go beyond language commonality and analysts’ pre-existing channels for information. Market reaction is stronger when Chinese analysts issue favorable forecast revisions or upgrades about Chinese firms.

We analyze initial public offering (IPO) activity under political uncertainty surrounding gubernatorial elections in the United States. There are fewer IPOs originating from a state when it is scheduled to have an election. To establish identification, we develop a neighboring-states method that uses bordering states without elections as a control group. The dampening effect of elections on IPO activity is stronger for firms with more concentrated businesses in their home states, firms that are more dependent on government contracts (particularly state contracts), and harder-to-value firms. This dampening effect is related to lower IPO offer prices (hence, higher costs of capital) during election years.

The 2012 Dividend Tax Reform in China ties individual investors’ dividend tax rates to the length of their shareholding period. We find that firms facing a reduction (increase) in their individual investors’ dividend tax rates are more (less) likely to increase dividend payout. Such an effect is concentrated in firms where incentives of controlling shareholders and minority shareholders are aligned. Furthermore, investors respond to this tax law change by reducing trading activities before the cum-dividend day and successfully lower their dividend tax penalty. Overall, our evidence enhances the notion that individual investors’ tax profiles shape firms’ payout policies.

We examine the formation and evolution of corporate risk culture, that is, the preferences toward risk and uncertainty shared by a firm’s leaders, as well as its effect on corporate policies. We document persistent commonality in risk attitudes inside firms, which arises through the selection of leaders with similar preferences and is rooted in the founders’ risk attitudes. Changes in corporate risk culture over time affect corporate investment policies, whereas cross-sectional differences in founders’ risk attitudes, that is, firms’ initial risk culture, contribute to differences across firms in persistent firm policies, such as research and development intensity.

Motivated by a theoretical model, we examine for 43 countries whether it is policy or policy uncertainty that affects technological innovation more. Innovation activities, measured by patent-based proxies, are not, on average, affected by which policy is in place. Innovation activities, however, drop significantly during times of policy uncertainty measured by national elections. The drop is greater for more influential innovations (citations in the right tail, exploratory rather than exploitative innovations) and for innovation-intensive industries. We use close presidential elections and ethnic fractionalization to address endogeneity concerns. We uncover the mechanism underlying the main result by showing that the number of patenting inventors decreases with policy uncertainty. Political compromise, we conclude, encourages innovation.

Events that disrupt customer–supplier relationships pose a source of risk for suppliers that depend on a customer for a large portion of their revenues. We identify the replacement of a customer’s chief executive officer (CEO) as a disruptive event that results in suppliers losing substantial sales. These losses are greater when an incumbent customer CEO is more likely to be entrenched and stem largely from the successor divesting assets. Finally, we document that losses in sales following a customer CEO turnover lead to declines in a supplier’s financial performance and that suppliers experience negative abnormal stock returns to announcements of customer CEO departures.

We explore the properties of equity mutual funds that experience a loss of assets after poor performance. We document that both inflows and outflows are less sensitive to performance, because performance-sensitive investors leave or decide not to invest after bad performance. Consistent with the idea that attrition measures the sorting of performance-sensitive investors, we find that attrition has less of an impact on the fund’s flow–performance sensitivity for institutional funds where there is less dispersion in investor performance sensitivity. Also, attrition has no effect on the flow–performance sensitivity when attrition arises after good performance or investors invest for nonperformance reasons.

We test whether model misspecification or liquidity spirals primarily explain the observed excess dependence in filtered (for economic fundamentals) hedge fund index returns and the links between volatility, liquidity shocks, and hedge fund return clustering. Evidence supports the model misspecification hypothesis: i) hedge fund filtered return clustering is symmetric, ii) filtered Short Bias fund returns exhibit negative dependence with filtered returns for other hedge fund types, iii) negative liquidity shocks are associated with clustering in both tails and market volatility subsumes the role of negative liquidity shocks, and iv) these same patterns appear in size-sorted equity portfolios.