Financial risk modeling and management are very important and challenging tasks for financial institutions’ quantitative units. Owing to the complex nature of portfolios, and given recent financial market developments, contemporary research is focused on tail modeling and/or dependency...

Regulators have traditionally used simple models to measure the capital adequacy of banks. The growing internationalisation and universalisation of banking operations have meant that the same is no longer possible, as banks face increasing, and increasingly opaque, market risk. The significance...

There is a growing literature on the realized volatility (RV) forecasting of asset returns using high-frequency data. We explore the possibility of forecasting RV with factor analysis; once considering the significant jumps. A real high-frequency financial data application suggests that the...

In this paper, we estimate, model and forecast Realized Range Volatility, a new realized measure and estimator of the quadratic variation of financial prices. This estimator was early introduced in the literature and it is based on the high-low range observed at high frequency during the day. We...

Many recent modelling advances in finance topics ranging from the pricing of volatility-based derivative products to asset management are predicated on the importance of jumps, or discontinuous movements in asset returns. In light of this, a number of recent papers have addressed volatility...