[A crucial issue in asset pricing is to understand the relative importance of discount rate (DR) news and cash flow (CF) news in driving the time-series and cross-sectional variations of stock returns. Many studies directly estimate the DR news but back out the CF news as the residual. We argue that this approach has a serious limitation because the DR news cannot be accurately measured due to the small predictive power, and the CF news, as the residual, inherits the large misspecification error of the DR news. We apply this residualbased decomposition approach to Treasury bonds and equities and find results that are either counterintuitive or unrobust. Potential solutions, including modeling both DR news and CF news directly, the Bayesian model averaging approach, and the principal component analysis, are explored.]

A crucial issue in asset pricing is to understand the relative importance of discount rate (DR) news and cash flow (CF) news in driving the time-series and cross-sectional variations of stock returns. Many studies directly estimate the DR news but back out the CF news as the residual. We argue that this approach has a serious limitation because the DR news cannot be accurately measured due to the small predictive power, and the CF news, as the residual, inherits the large misspecification error of the DR news. We apply this residual-based decomposition approach to Treasury bonds and equities and find results that are either counterintuitive or unrobust. Potential solutions, including modeling both DR news and CF news directly, the Bayesian model averaging approach, and the principal component analysis, are explored. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.

In this paper we investigate the effects of informed trading (PIN) and information uncertainty in determining price momentum. We find that trading strategies based on buying high-uncertainty good-news stocks and shorting high-uncertainty bad-news stocks work well when limited to high-PIN stocks, while stocks with low-PIN do not exhibit price continuations, even when the uncertainty level of those stocks is high. In contrast, momentum returns are always significant for high-PIN stocks, irrespective of information uncertainty. Overall, we show that the informed trading effect is both independent of and stronger than that of information uncertainty in determining price momentum.

This paper investigates how the regulation of bank wealth management products (WMPs) affects corporate innovation. We build a concise model linking firms’ assets allocation decisions to regulatory variables affecting banks. The model suggests that current WMP regulation can enhance formal lending and stimulate innovation among state-owned enterprises (SOEs), while having no impact on innovation in private enterprises (PEs). Empirically, we identify firms’ exposure to bank regulation by examining the number of WMPs issued by banks in 2017 and the distance between banks and firms. Our results indicate that innovation output significantly increased for highly exposed SOEs, while there was no significant change for PEs. Using city-level data, we further observe that regulation fosters innovation in regions with higher exposure. Our findings suggest that regulation exerts heterogeneous effects on the real economy by banks’ credit allocation and firms’ investment strategies.

This paper studies the rise and fall of “Mini” options that are especially catered to retail investors for popular but high-priced securities. Using transaction-level data, we find that transaction costs of Mini options are much higher than those of standard options and the difference cannot be fully explained by cost-related determinants. Furthermore, we find evidence of price discrimination against retail investors from analyses of price elasticities of option traders, an event-study of changes in bid-ask spreads around earnings announcements, and comparisons of trade prices paid by Mini and standard option traders for the same security at approximately the same time.

Mini options are specially catered to retail investors with limited capital for trading options on extremely high-priced securities. The coexistence of both Mini and standard options for the same underlying security provides us a novel setting to investigate whether and how small retail investors use derivatives contracts differently compared to their counterparts. First, we find that the Mini option investors are more subject to constraints of limited attention. Specifically, Mini option investors trade more intensively near market opens, and their trading activities are more heavily influenced by attention-grabbing events and attention-distracting events. Second, we document that Mini option investors’ trading is more likely to be driven by market sentiment than standard option investors. Third, the trading performance of Mini option investors is also worse than that of standard option investors, with less positive intraday returns and more negative overnight returns.

We study a prominent energy regulation affecting large Chinese manufacturers that are part of broader conglomerates. Using detailed firm-level data and difference-in-differences research designs, we show that regulated firms cut output and shifted some production to unregulated firms within their conglomerate instead of improving their energy efficiency. To account for conglomerate and market spillovers, we interpret these results through the lens of an industry equilibrium model featuring conglomerate production. The policy raises welfare if the per ton benefits of carbon reduction exceed $161. Alternative policies that exploit public information on business networks can increase aggregate energy savings by 10 percent.