This paper extends research concerned with the evaluation of alternative volatility forecasting methods under value at risk (VaR) modeling in the context of the Basle Committee adequacy criteria by broadening the class of generalized autoregressive conditional heteroscedasticity models, to...

Recent research has suggested that intra-day volatility may possess a component structure, resulting either from the arrival of heterogeneous information or the actions of heterogeneous market agents. This paper reports direct evidence for the existence of such components in S&P500 index and...

Volatility plays a key role in asset and portfolio management and derivatives pricing. As such, accurate measures and good forecasts of volatility are crucial for the implementation and evaluation of asset and derivative pricing models in addition to trading and hedging strategies. However,...

Extant empirical research has reported nonlinear behavior within arbitrage relationships. In this article, the authors consider potential nonlinear dynamics within FTSE‐100 index and index‐futures. Such nonlinearity can be rationalized by the existence of transactions costs or through the...

Recent research investigating the properties of high‐frequency financial data has suggested that the stochastic nonlinearity widely present in such data may be characterized by heterogeneous components in conditional volatility, and nonlinear dependence of threshold autoregressive form due to...

The fully-revised data typically utilized in empirical research do not reflect the true information available to financial market participants at the time of their decision-making. This paper uses a new real-time macroeconomic dataset to appraise the relative importance of different vintages of...