ABSTRACT We examine stock price reaction to voluntary disclosure of innovation strategy by high‐tech firms and its relation with insider stock transactions before the disclosure. We find that, despite the qualitative and subjective nature of strategy‐related disclosure, there is positive stock price reaction to the disclosure. The evidence suggests that investors view the disclosure as credible good news. We also find that the disclosure is associated with more positive stock price reaction when it is preceded by insider purchase transactions. This evidence is consistent with insider purchase enhancing the credibility of the disclosure. The credibility‐enhancing effect is found to be stronger for firms with higher degrees of information asymmetry (younger firms, firms with lower analyst following, loss firms, and firms with higher research and development (R&D) intensity). Our evidence also indicates that predisclosure insider purchase is associated with greater future abnormal returns, suggesting that managers are privy to good news shortly before the disclosure.

In this paper, we study the determinants of Bitcoin volatility. We estimate and decompose Bitcoin's realized volatility into jump volatility and continuous volatility components. We find that innovations in Robinhood retail trading are positively related to the continuous component of Bitcoin's volatility. Specifically, the innovations in Robinhood retail trading predict an increase in future ten-day continuous volatility. The innovations in the (anonymous) trading volume of Monero are also positively related to the jump component in Bitcoin's volatility. Specifically, the innovations in Monero trading volume predict an increase in average jump volatility over the next five days. Our results suggest that retail trading positively influences the continuous component of Bitcoin volatility, while the preference for transaction anonymity positively affects the jump component of Bitcoin volatility.

In this paper, we study how different categories of crucial COVID-19 information influence price dynamics in stock and option markets during the period from 01/21/20 to 01/31/21. We present a theoretical model in which the behavioral traders make perceptual errors based on the intensity of sentiment arising from different types of news. In addition to the magnitude and direction of the news and its payoff relevance to security prices, other factors such as fear, emotion, and social media can influence the sentiment level. Using Google search data, we construct novel proxies for the sentiment levels induced by five categories of news, COVID, Market, Lockdown, Banking, and Government relief efforts. If the relative presence of behavioral traders in the stock market exceeds that in the option market, different predictions obtain for the effect of sentiment indices on jump volatility of the VIX index, the S&P 500 index, and the S&P 500 Banks index. We find that the jump component in the VIX index is increasing significantly with COVID index, Market index, Lockdown index, and Banking index. However, only COVID index and Market index increase the jump component of realized volatility of the stock indices (S&P 500 index and S&P 500 Banks index). The Government relief efforts index decreases this jump component. Banking and Lockdown index reduce jump volatility in the S&P 500 index and S&P 500 Banks index, but only with a delay of 5 days. These results are consistent with the predictions of our model.

ABSTRACT Political identity and partisanship are salient features of today's society. Using deeds records and voter rolls, we show that current residents are more likely to sell their homes when opposite‐party neighbors move in nearby than when unaffiliated or same‐party neighbors do. This is especially true when the new neighbors are politically active, consistent with an animosity between parties mechanism. We conclude that affective polarization is not limited to purely political settings and affects one of the household's most important financial decisions, their home transactions.

We study neighborhood choice using a novel research design that contrasts the move rate of homeowners who receive a new different-race neighbor immediately next-door versus slightly farther away on the same block. This approach isolates a component of preferences directly attributable to neighbors’ identities. Both Black and White homeowners are more likely to move after receiving a new different-race neighbor. Findings are robust to additional controls (e.g., income) and alternative research designs. We find evidence of heterogeneity in responses, especially associated with housing density, which has implications for understanding contemporary neighborhood racial change and prospects for maintaining stable, integrated neighborhoods. (JEL D91, J15, R23, R31)