This paper investigates the speed of price discovery when information becomes publicly available but requires costly processing to become common knowledge. We exploit the unique institutional setting of hacks on decentralized finance (DeFi) protocols. Public blockchain data provides the precise...

Revisions of consensus forecasts of macroeconomic variables positively predict announcement day forecast errors, whereas stock market returns on forecast revision days negatively predict announcement day returns. A dynamic noisy rational expectations model with periodic macroeconomic...

The information content of stock prices is analysed without imposing strong restrictions on traders' preferences and the distribution of dividends. Noise in the information contained in equilibrium prices arises from endogenous asset supply, which offsets price movements due to informed trading....

This paper analyzes the impact of both penal law and prosecution of insider trading on the informational efficiency of securities markets. We show that increasing the severity of penalties to insider trading as well as making insider prosecution more efficient might improve the price discovery...

We investigate credit default swap (CDS) and stock price reactions to a variety of credit events, including news of economic distress, financial distress, M&A, SEC probe or accounting irregularities, and leverage buyout (LBO). The CDS spread shows a large spike of 37% to 96% depending on the...

Stock prices occasionally move in response to unverified rumors. I propose a cheap talk model in which a rumormonger's incentives to tell the truth depend on the interaction between her investment horizon and the information acquisition decisions of message-receiving investors. The model's key...

We investigate traders’ behaviour in an experimental asset market where uninformed agents cannot be sure about the presence of insiders. In this framework we compare two trading institutions: the continuous double auction and the call market. The purpose of this comparison is to test which of...

The present study contributes to the ongoing debate on possible costs and benefits of insider trading. We present a novel call auction model with insider information. Our model predicts that more insider information improves informational efficiency of prices, but this comes at the expense of...

Volume-based liquidity ratios suffer from potential measurement bias due to share restriction and may misrepresent actual liquidity. In this paper, we develop a modified metric, the free-float liquidity ratio. We argue that this measure is better suited to estimate liquidity in the presence of...