We develop a panel intensity model, with a time varying latent factor, which captures the influence of unobserved time effects and allows for correlation across individuals. The model is designed to analyze individual trading behavior on the basis of trading activity datasets, which are...

It is a widely recognized fact that risk-reversals play a central role in the pricing of derivatives in foreign exchange markets. It is also known that the values of risk-reversals vary stochastically with time. In this paper we introduce a stochastic volatility model with jumps and local...

State-of-the-art stochastic volatility models generate a 'volatility smirk' that explains why out-of-the-money index puts have high prices relative to the Black-Scholes benchmark. These models also adequately explain how the volatility smirk moves up and down in response to changes in risk....

This paper proposes a set of novel pricing factors for currency returns that are motivated by microstructure models. In so doing, we bring two strands of the exchange rate literature, namely market-microstructure and risk-based models, closer together. Our novel factors use order flow data to...

We consider a recently proposed method of estimating the tail index and testing thegoodness-of-fit of dependent stable processes. Through Monte Carlo simulations, weevaluate the ability of the procedure to distinguish between stable and non-stable processesin the presence of non-linear...

This paper considers the impact of foreign exchange order flows on contemporaneous and future stock market returns using a new database of customer order flows in the €-$ exchange rate market as seen by a leading European bank. We do not find clear contemporaneous relationships between FX...