Extending previous risk model backtesting literature, we construct multiple hypothesis testing (MHT) with the stationary bootstrap. We conduct multiple tests which control for the generalized confidence level and employ the bootstrap MHT to design multiple comparison testing. We consider...

In this article we use a partial integral-differential approach to construct and extend a non-linear filter to include jump components in the system state. We employ the enhanced filter to estimate the latent state of multivariate parametric jump-diffusions. The devised procedure is flexible and...

The predominant fear in capital markets is that of a price spike. Commodity markets differ in that there is a fear of both upward and down jumps, this results in implied volatility curves displaying distinct shapes when compared to equity markets. The use of a novel functional data analysis...

The decisions of the European Parliament (EP) are shown to influence both EU emission allowance (EUA) prices and volatility. This is not a universal influence though, only the decisions which are either (i) parliament-led, as opposed to topical decisions originating from the political groups,...

Psychological barriers are shown to be a feature in frontier market equity pricing. Using MSCI Frontier 100 index constituents; prices, upon breaching an upward or downward psychologically important price point, generally follow predictable patterns in the days after such a breach. It is...

We formally compare fundamental factor and latent factor approaches to oil price modelling. Fundamental modelling has a long history in seeking to understand oil price movements, while latent factor modelling has a more recent and limited history, but has gained popularity in other financial...

Recent research has identified the presence of behavioral influences on traders in predominantly professionally traded markets such as oil, gold, and foreign exchange. Previous research had largely confined behavioral-based investigations to equity markets due to an assumption that noise traders...

High-frequency sentiment time series are extracted from Twitter data concerning the European emissions market and are used to explain returns and volatility in European emissions futures. The measures of negative sentiment are shown to Granger-cause EUA futures returns, while positive sentiment...