We show that financial risk-taking originates in preindustrial ancestral population diversity. We use data on immigrants residing in the United States and show that controlling for all known determinants of portfolio decisions, diversity positively affects stock market participation and asset...

Donald Trump's election and his nomination of Scott Pruitt, a climate skeptic, to lead the Environmental Protection Agency drastically downshifted expectations on US climate-change policy. We study firms' stock-price reactions and institutional investors' portfolio adjustments after these...

Mergers and acquisitions are often motivated by the intention of creating value from intangible assets. We develop a novel word list of intangibles and apply it to takeover announcements. Deals presented with more “intangibles talk” complete more quickly. However, the value of these deals to...

We study the impact of global financial sanctions on the Russian banks and economy. Financial sanctions were consecutively imposed between 2014 and 2019, allowing potentially-targeted (but not yet sanctioned) banks to adjust their international and domestic exposures. Compared to similar other...

Tweet-level data from a social media platform reveals low average accuracy and high dispersion in the quality of advice by financial influencers, or “finfluencers”: 28% of finfluencers are skilled, generating 2.6% monthly abnormal returns, 16% are unskilled, and 56% have negative skill...

Many mergers destroy shareholder value because managers intentionally waste corporate resources to pursue private benefits. Using textual analysis, we link industry conditions as reflected in acquirer peers' 10-K statements to acquirer announcement abnormal returns. We find that more negative...

We develop a dynamic model of corporate investment and financing decisions in which corporate insiders have superior information about the firm's growth prospects. We show that firms with positive private information can credibly signal their type to outside investors using the timing of...

We provide a new method to derive the state price density per unit probability based on option prices and GARCH model. We derive the risk neutral distribution using the result in Breeden and Litzenberger (1978) and the historical density adapting the GARCH model of Barone-Adesi, Engle, and...

We develop a discrete-time stochastic volatility option pricing model, which exploits the information contained in high-frequency data. The Realized Volatility (RV) is used as a proxy of the unobservable log-returns volatility. We model its dynamics by a simple but effective (pseudo) long memory...

We model the dynamics of asset prices and associated derivatives by consideration of the dynamics of the conditional probability density process for the value of an asset at some specified time in the future. In the case where the asset is driven by Brownian motion, an associated "master...