This paper investigates the determinants of the iTraxx CDS Europe indices, finding strong evidence that they are regime dependent. During volatile periods credit spreads become highly sensitive to stock volatility and more sensitive to this than to stock returns. They are also almost immune to...

This paper examines the ability of twelve different continuous-time two-factor models with mean-reverting stochastic volatility to capture the dynamics of the S&P 500 and three European equity indices. The stochastic volatility models are the square root variance, GARCH, and log volatility...

This paper implements a variety of different calibration methods applied to the Heston model and examines their effect on the performance of standard and minimum-variance hedging of vanilla options on the FTSE 100 index. Simple adjustments to the Black-Scholes-Merton model are used as a...

Most option pricing models assume all parameters except volatility are fixed; yet they almost invariably change on re-calibration. This paper explains how to capture the model risk that arises when parameters that are assumed constant have calibrated values that change over time and how to use...

We analyse the price discovery process in bitcoin-dollar trading on Coinbase, the most established cryptocurrency spot exchange. Using a modified reinforcement learning framework, we find that market orders individually carry more information than limit orders, but due to their abundance, limit...