Latest Research Publications

We offer a new anchoring explanation for the ex-day abnormal returns of stock distributions, including stock dividend distributions, splits, and reverse splits. We propose that investors tend to anchor on cum-day prices in valuating ex-distribution stocks, resulting in a positive association between ex-day returns and adjustment factors. We find that this positive return-factor relation exists for all three types of stock distributions and in both the pre- and post-decimalization periods. Furthermore, we find that this positive return-factor relation is more pronounced among events that are more subject to investors’ anchoring propensity, featured by less investor attention, greater arbitrage difficulty, greater valuation uncertainty, less investor sophistication, and higher market sentiment. Last, using brokerage account data, we show that stocks that are traded by investors with more investment experience demonstrate a weaker return-factor relation.

With the rapid growth of online social network sites (SNSs), it has become imperative for platform owners and online marketers to quantify what factors drive content production on these platforms. Previous research identified challenges in modeling these factors statistically using observational data, where the key difficulty is the inability of conventional methods to disentangle the effects of network formation and network influence on content generation from the subsequent feedback effect of newly generated content on network structure. In this paper, we adopt and enhance an actor-oriented continuous-time statistical model that enables the joint estimation of the coevolution of the users’ social network structure and of the amount of content they produce, using a Markov chain Monte Carlo–based simulation approach. Specifically, we offer a method to analyze nonstationary and continuous-time behavioral data, typically recorded in social media ecosystems, in the presence of network effects and other observable and unobservable user-specific covariates. The proposed method can help disentangle network effects of interest from feedback effects on the network. We apply our model to social network and public posting data over six months to find that (1) users tend to connect with others that have similar posting behavior; (2) however, after doing so, these users tend to diverge in their posting behavior, and (3) peer influence effects are sensitive to the strength of the posting behavior. More broadly, the proposed method provides researchers and practitioners with a statistically rigorous approach to analyze network effects in observational data. Our results lead to insights and recommendations for SNS platform owners on how to sustain an active and viable community.

This paper analyses the effects of the European Union's anti-dumping tariffs against Chinese imports on all affected firms: “the good” European import-competing firms, “the bad” Chinese exporters and “the ugly” European importers of dumped products. The results show that temporary import tariffs are beneficial to the least productive “good” EU producers, but harms the most productive “ugly” EU importers. Overall, the net effects of anti-dumping policy on European employment and exports are largely negative. Also tariffs enhance the productivity of surviving “bad” Chinese exporters and widens the productivity gap with European competitors.

We study a corporate board tasked with monitoring a firm’s CEO and providing incrementally decision relevant information. The board has both compensation and non-pecuniary incentives—we label the latter board bias. Friendly boards have muted information gathering incentives, but can more effectively engage in cheap talk communication with management. As a result, the direction of the optimal board bias is determined by the CEO’s initial information advantage: the board should be weakly friendly if the CEO is endowed with precise information, and weakly antagonistic (to the CEO) otherwise. Aside from assembling a friendly board, another way for shareholders to foster CEO/board communication is by granting the CEO more equity. In general, we find board friendliness and CEO equity grants to be positively associated, in equilibrium. This provides an optimal contracting rationale for an empirical regularity often interpreted as friendly boards facilitating rent extraction.

Virtually no research has examined the role of emoticons in commercial relationships, and research outside the marketing domain reports mixed findings. This article aims to resolve these mixed findings by considering that emoticon senders are often simultaneously evaluated on two fundamental dimensions, warmth and competence, and the accessibility of one dimension over the other is critically contingent on salient relationship norms (communal vs. exchange norms) in customers’ minds due to individual and situational factors. Through laboratory and field experiments, the current research shows that customers perceive service employees who use emoticons as higher in warmth but lower in competence compared to those who do not (study 1). We further demonstrate that when a service employee uses emoticons, communal-oriented (exchange-oriented) customers are more likely to infer higher warmth (lower competence) and thus to be more (less) satisfied with the service (study 2). We also examine two practically important service situations that can make a certain type of relationship norm more salient: unsatisfactory services (study 3) and employees’ extra-role services (study 4). We speculate on possible mechanisms underlying these effects and discuss theoretical and practical implications along with opportunities for future research.

Across five studies, the current research demonstrates that imbuing money with humanlike characteristics can enhance charitable giving. Based on mind perception theory, we propose that anthropomorphizing money can induce people to attribute to money the capacity to feel and sense (i.e., warmth) and the capacity to do things (i.e., competence). Further, we argue that enhanced warmth perception increases charitable giving. Studies 1a and 1b provided initial evidence that money anthropomorphism increased charitable giving by measuring real monetary donation behavior (study 1a) and by adopting a practical method to anthropomorphize money in charitable appeals (study 1b). Study 2 showed that money anthropomorphism enhanced both warmth and competence perceptions of money, but that only enhanced warmth perception increased donation intention. Study 3 showed that money anthropomorphism did not enhance other types of charitable giving, such as signature provision. Study 4 showed that the money anthropomorphism effect was unique to money and that anthropomorphizing other financial instruments, such as a credit card, did not induce the same effect.

This study uses two distinct quasi-natural experiments to examine the effect of institutional shareholders on corporate social responsibility (CSR). We first find that an exogenous increase in institutional holding caused by Russell Index reconstitutions improves portfolio firms’ CSR performance. We then find that firms have lower CSR ratings when shareholders are distracted due to exogenous shocks. Moreover, the effect of institutional ownership is stronger in CSR categories that are financially material. Furthermore, we show that institutional shareholders influence CSR through CSR-related proposals. Overall, our results suggest that institutional shareholders can generate real social impact.

We investigate the roles played by unexpected demand shocks, besides productivity, on firms' capital investment and exit decisions. We propose a practical approach to recover unexpected firm‐level demand shocks using inventory data. The recognition of demand shocks and inventory also improves the productivity estimation. The empirical results indicate that although productivity and demand shocks are both significant factors determining firm behavior, the former is more dominant for investment decision and the latter is more salient for firm exit. These findings confirm that unexpected demand shocks, besides persistent productivity, are important factors when analyzing capital investment and firm exit decisions.

Digital distribution introduces many new strategic questions for the creative industries—notably, how the use of new digital channels will impact sales in established channels. We analyze this question in the context of e-book and hardcover sales by exploiting a natural experiment that exogenously delayed the release of a publisher’s new Kindle e-books in April and May 2010. Using new books released simultaneously in e-book and print formats in March and June 2010 as the control group, we find that delaying e-book availability results in a 43.8% decrease in e-book sales but no increase in print book sales on Amazon.com or among other online or offline retailers. We also find that the decrease in e-book sales is greater for books with less prerelease buzz. Together, we find no evidence of strong cannibalization between print books and e-books in the short term and no support for the sequential distribution of books in print versions followed by e-book versions.