We study how commodity financialization affects information transmission in a commodity futures market. The trading of financial traders injects both information and noise into the futures price. In consequence, price informativeness in the futures market first increases and then decreases with...

We surveyed all Chinese public firms in 2019 and 2022 to examine the real effects of financial markets. The response rates were close to 100%. More than 90% of firms reported that they care about the stock market for the purposes of learning information to guide real investment decisions and of...

Information disclosure is an essential component of regulation in financial markets. In this article, we provide a cohesive analytical framework to review a few key channels through which disclosure in financial markets affects market quality, information production, efficiency of real...

We analyze a model where traders have different trading opportunities and learn information from prices. The difference in trading opportunities implies that different traders may have different trading motives when trading in the same market -- some trade for speculation and others for hedging...

We study real-efficiency implications of disclosing public information in a model with multiple dimensions of uncertainty where market prices convey information to a real decision maker. Paradoxically, when disclosure is about a variable that the real decision maker cares to learn, disclosure...

I study voluntary disclosure of oligopoly firms when they learn information from asset prices. By disclosing information, a firm incurs a cost of losing competitive advantage to its rivals but benefits from learning from a more informative asset market. Adding a financial market helps the...

We show that a linear pure strategy equilibrium may not exist in Madrigal's (1996, Journal of Finance) setup, contrary to the claim of the original paper. This is because Madrigal's characterization of a pure strategy equilibrium omits a second-order condition. If the non-fundamental...

We study information production and diffusion resulting from dynamic interactions between different types of informed investors in financial markets. Using a theoretical framework that exploits the setting of the Q&A section of earnings conference calls, we predict that information production...

We model the strategic interaction between fundamental investors and "back-runners,'' whose only information is about the past order flow of fundamental investors. Back-runners partly infer fundamental investors' information from their order flow and exploit it in subsequent trading. Fundamental...

This paper rationalizes the LASSO algorithm based on uncertain fat-tail priors and max-min robust optimization. Our rationalization excludes heuristic learning or restrictive prior assumptions in the original interpretation of LASSO (Tibshirani (1996)). In our setting, economic agents...