This paper investigates the role of punctuation in the peer-to-peer (P2P) lending market. Using data from Renrendai, one of the largest P2P lending platforms in the People’s Republic of China, we investigate how the amount of punctuation used in loan descriptions influences the funding...

We study how stock price informativeness changes with the presence of highfrequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence market prices are a less reliable predictor of future cash ows and...

We show that limited dealer participation in the market, coupled with an informational friction resulting from high frequency trading, can induce demand for liquidity to be upward sloping and strategic complementarities in traders' liquidity consumption decisions: traders demand more liquidity...

We show that limited dealer participation in the market, coupled with an informational friction resulting from high frequency trading, can induce demand for liquidity to be upward sloping and strategic complementarities in traders' liquidity consumption decisions: traders demand more liquidity...

We investigate and test hypotheses on how informed trading varies with market-wide factors and the structural and trading characteristics of a firm. We find strong evidence of commonality in informed trading, and a systematic dependence of informed trading on firm characteristics that is largely...

This study investigates the relationship between the comprehensibility of a firm's annual report and its stock return synchronicity in the Indian market. The study employs the readability of annual reports as a measure for the cost of information processing. The findings suggest that firms with...

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...

This paper develops a structural model to examine high-frequency price dynamics. The key innovation is to allow trades' permanent price impact to be time-varying—dynamic trade informativeness. A distribution-free filtering technique pins the real-world data to the model. The filtered series...

We model a financial market where privately informed investors trade in a limit order book monitored by professional liquidity providers. Price competition between informed limit order submitters and professional market makers allows us to capture tradeoffs between informed limit and market...

We examine the relation between intra-day price discovery and proxies for financial openness and investor accessibility using a sample of intra-day price and quote data of 1,504 stocks from 23 emerging markets. We measure price discovery by weighted price contribution across segments of the...