Decentralized exchanges (DEXs) are gaining popularity, allowing investors to trade cryptocurrencies through liquidity pools. We find that about 44% of major DEX liquidity pools are scams, resulting in approximately $1.5 billion in investor losses. Scammers display specific traits, including...

Given that corporate managers use stock prices as signals when making investment decisions, does market manipulation distort this process and impact corporate investment? We find that the increased prevalence of stock price manipulation has an economically meaningful negative effect on firms’...

We investigate the effects of the COVID-19-induced shock in financial markets on aggregate venue selection/market share and market quality. We find that the shock is linked with an economically significant loss of market share by dark pools to lit exchanges. In line with theory, the loss appears...

We propose a state-space modeling approach for decomposing trading volume into its liquidity-driven and information-driven components. Using a set of high-frequency S&P 500 stock data, we show that informed trading is linked with a reduction in volatility, illiquidity, and toxicity/adverse...

We present a novel framework illustrating the links between order aggressiveness and flash crashes. Our framework involves a trading sequence beginning with significant increases in aggressive sell orders relative to aggressive buy orders until instruments' prices fall to their lowest levels....

Based on granular NASDAQ HFT data, we find that HFT activity in the stock market increases market-making costs in the options markets via two channels: the hedging channel and the arbitrage channel. HFTs' liquidity-demanding orders increase the hedging costs due to a higher stock bid-ask spread...