This paper contributes to the debate on the consequences of increased disclosure regulation by investigating the effects of expedited reporting requirements of Form 4 filings, mandated by the Sarbanes-Oxley Act (SOX), on the market response to earnings announcements. We first confirm that SOX...

Using microdata on stock-level lending positions from German mutual funds, we show that active funds use the equity lending market to obtain information about short sale demand. Funds reduce long positions in response to these demand signals, which allows fund managers to front-run public...

We study the extent of fraud in initial coin offerings (ICOs), and whether information disclosure prior to the issuance predicts fraud. We document different types of fraud, and that fraudulent ICOs are on average much larger than the sample average. Issuers that disclose their code on GitHub...

Being able to separate temporary global macroeconomic influences - caused by fluctuations in exchange rates, interest rates and inflation - from intrinsic performance - related to a superior product, production process or management - is crucial to the assessment of the development of a firm’s...

This paper attempts to investigate the impact of credit information sharing on bank-specific stock price crash risk. Using a sample of 1,402 listed-banks in 55 countries for the period 2005-2013, we show that credit information sharing through public credit registries is negatively associated...

Based on M&As from over 45 countries from 2003-2014, we show that the presence of end-of-day (EOD) target price manipulation prior to M&As increases the probability of an M&A deal withdrawal, and decreases the premium paid. More detailed exchange trading rules that govern manipulation across...

Stock market makers are afraid that informed insiders will take advantage of them in trade. To protect themselves, they may increase the bid-offer spread to include a fee for the adverse selection risk . If set correctly, market makers will share in profits from others trading on private...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...

Competition among trading platforms has considerably reduced trading fees in stock markets. We show that this evolution is not necessarily beneficial to investors. Obviously it increases gains from trade when a trade happens. Less obviously, it can induce investors to post limit orders with a...

We study how high-frequency traders (HFTs) strategically decide their speed level in a market with a random speed bump. If HFTs recognize the market impact of their speed decision, they perceive a wider bid-ask spread as an endogenous upward-sloping cost of being faster. We find that the speed...