In this paper a flexible model for correlation in high frequency data is proposed, which maintains the data's discrete nature and captures features such as asymmetry and excess zeros. The model uses an a theoretical approach based on that of an ARIMA model. This model works with price changes...

This paper analyzes the interday stability of the price process using transaction data. While the vast majority of empirical studies on the microstructure of financial markets rests on the tacit assumption that observed prices are generated by a time-invariant price process, we question this...

In this paper we develop a dynamic model for integer counts to capture the dis- creteness of price changes for financial transaction prices. Our model rests on an autoregressive multinomial component for the direction of the price change and a dynamic count data component for the size of the...

This paper analyzes the interday stability of the price process using transaction data. While the vast majority of empirical studies on the microstructure of financial markets rests on the tacit assumption that observed prices are generated by a time-invariant price process, we question this...

Derivatives, such as futures or options, are financial contracts which derive their value from a spot price, which is called the “underlying”. Derivative products like index futures, stock futures, index options and stock options have become important instruments of price discovery,...

This paper proposes a probit approach to measure and forecast extreme downside risks in Asian Pacific markets given information on extreme negative shocks in the U.S. and Japanese markets. The extreme downside risk of a market is measured as the occurrence of market returns falling below...