Most pricing and hedging models rely on the long run temporal stability of a sample covariance matrix. Using a large dataset of equity prices from four countries, the US, UK, Japan and Germany, we test the rolling stability of realized sample covariance matrices using two complementary...

We document the changes in dynamic stochastic structure of the various industrial sectors of the Chinese A, B share markets and the Hong Kong share markets. We utilize a robustly estimated VECM-MV-GARCH model to test for possible co-integrating vectors between the market segmentations pre and...

Abstract We investigate intra-day realized volatility, trading volume and information transmission following a series of changes to MiFID in UK. We find that multilateral trading facilities attract order flow from LSE and hence introduce new dynamics to market provisions such as volatility and...

We develop the Cox, Ingersoll and Ross (1985b) “technological uncertainty variable” in terms of a skewed Student “t” probability density with mean reverting sample paths and time varying volatility so that it can accommodate negative real interest rates. The Fokker-Planck equation is...

At the end of 2009, countries in the Eurozone began to experience a sudden divergence of bond yields as the perceived prospect of sovereign default risk increased. This paper examines the potential spillovers between the liquidity of the sovereign credit default swap (CDS) market and the...

We document the changes in dynamic stochastic structure of the various industrial sectors of the Chinese A, B share markets and the Hong Kong share markets. We utilize a robustly estimated VECM-MV-GARCH model to test for possible co-integrating vectors between the market segmentations pre and...

This paper examines the role of cross-listing in stock return dynamics with particular reference to feedback trading based on a sample of five most frequently traded cross-listed shares. We find that a long-run equilibrium relationship among the cross-listed share prices exists, but find no...

This paper examines incorporation of higher moments in portfolio selection problems utilizing high frequency data. Our approach combines innovations from the realized volatility literature with a portfolio selection methodology utilising higher moments. We provide an empirical study of the...

We test three common information criteria (IC) for selecting the order of a Hawkes process with an intensity kernel that can be expressed as a mixture of exponential terms. These processes find application in high-frequency financial data modelling. The information criteria are Akaike's...

To investigate the complex interactions between market events and investor sentiment, we employ a multivariate Hawkes process to evaluate dynamic effects among four types of distinct events: positive returns, negative returns, positive sentiment and negative sentiment. Using both intraday S&P...