We combine machine learning algorithms (ML) with textual analysis techniques to forecast bank stock returns. Our textual features are derived from press releases of the Federal Open Market Committee (FOMC). We show that ML models produce more accurate out-of-sample predictions than OLS...

I develop a search-and-bargaining model of endogenous intermediation in over-the-counter markets. Unlike the existing work, my model allows for rich investor heterogeneity in three simultaneous dimensions: preferences, inventories, and meeting rates. By comparing trading-volume patterns that...

We study empirically how competition among high-frequency traders (HFTs) affects their trading behavior and market quality. Our analysis exploits a unique dataset, which allows us to compare environments with and without high-frequency competition, and contains an exogenous event - a tick size...

The finance theory suggests that there might be a relationship between the stock return and the risk premium. Theoretically, stock return defined as the change of the market price, and it is related to the scope of the financial system, which is consisting of the financial institution and...

Credit risk has been a worrying type of risk for financial managers. Fortunately, a recent market development –credit derivatives- has made the credit risk more manageable. The loan portfolio management has become more practicable than it used to be in the past. However, credit derivatives are...

Quantitative finance combines mathematical finance, financial statistics, financial econometrics and empirical finance to provide a solid quantitative foundation for the analysis of financial issues. The purpose of this special issue on “Recent developments in quantitative finance” is to...

This is the first empirical evidence on the competition between high-frequency traders (HFTs) and its influence on market quality. We exploit the first entries of international HFTs into the Swedish equity market in 2009 and conduct a difference-in-differences analysis using trade-by-trade data....

I develop a search-and-bargaining model of liquidity provision in over-the-counter markets where investors differ in their search intensities. A distinguishing characteristic of my model is its tractability: it allows for heterogeneity, unrestricted asset positions, and fully decentralized...

Despite scarcity being central to economics, the scarcity of brain’s internal resources has largely been ignored. Neuroscience research increasingly points to the brain evolving as a prediction engine in response to this internal-resource scarcity. The brain meets every situation with...

Despite scarcity being central to economics, the scarcity of brain’s internal resources has largely been ignored. Neuroscience research increasingly points to the brain evolving as a prediction engine in response to this internal-resource scarcity. The brain meets every situation with...