We use Hasbrouck (1991)'s vector autoregressive model for prices and trades to empirically test and assess the role played by the waiting time between consecutive transactions in the process of price formation. We find that as the time duration between transactions decreases, the price impact of...

Using a rich dataset of high frequency historical information we study the determinants of European sovereign bond returns over calm and crisis periods. We find that the importance of the equity risk factor varies greatly over time and crucially depends on country risk. In low risk countries,...

This paper investigates the role of credit and liquidity factors in explaining corporate CDS price changes during normal and crisis periods. We find that liquidity risk is more important than credit risk regardless of market conditions. Moreover, in the period prior to the recent ‘Great...

This research examines the perception that the AIM market is riskier than the Official List market in comparable stocks. The empirical analysis uses high frequency data for January 2000 to December 2004 on 533 AIM stocks and 264 comparable Official List stocks. Risk is measured in a variety of...

MTS Time Series: Market and Data Description for the European Bond and Repo Database Alfonso Dufour and Frank Skinner MTS Time Series is a new source of high frequency and daily data for European fixed income markets. For the first time academic researchers and market practitioners have...

A semiparametric ARCH model is introduced with conditional first and second moments given by ARMA and ARCH formulations, and a conditional density that is approximated by a nonparametric density estimator. For several densities, the relative efficiency of the quasi-maximum likelihood estimator...

Recent empirical work has studied point processes of transactions in financial markets and observed clear time dependent patterns in these arrival times. However these studies do not examine the timing of quoted price changes. This paper formulates a bivariate point process to jointly analyze...

The existence of a serial correlation common feature among the first differences of a set of I(1) variables implies the existence of a common cycle in the Beveridge-Nelson-Stock-Watson decomposition of those variables. A test for the existence of common cycles among cointegrated variables is...