Unit root tests are considered for time series with innovational outliers. The function representing the outliers can have a very general nonlinear form and additional deterministic mean and trend terms are allowed for. Prior to the tests the deterministic parts and other nuisance parameters of...

A number of unit root tests which accommodate a deterministic level shift at a known point in time are compared in a Monte Carlo study. The tests differ in the way they treat the deterministic term of the DGP. It turns out that Phillips-Perron type tests have very poor small sample properties...

Two types of unit root tests which accommodate a structural level shift at a known point in time are extended to the situation where the break date is unknown. It is shown that for any estimator for the break date the tests have the same asymptotic distribution as the corresponding tests under...

In this paper we study new nonlinear GARCH models mainly designed for time series with highly persistent volatility. For such series, conventional GARCH models have often proved unsatisfactory because they tend to exaggerate volatility persistence and exhibit poor forecasting ability. Our main...

The expectations hypothesis of the term structure of interest rates is tested using monthly Eurodollar deposit rates for maturities 1, 3 and 6 months covering the period 1983: 1996:6.Whereas classical regression-based tests indicate rejection, tests based on a new model allowing for potential...

According to several empirical studies, US inflation and nominal interest rates, as well as the real interest rate, can be described as unit root processes.These results imply that nominal interest rates and expected inflation do not move one-for-one in the long run, which is not consistent with...

We use the Autoregressive Conditional Duration (ACD) framework of Engle and Russell (1998) to study the effect of trading volume on price duration (ie the time lapse between consecutive price changes) of a stock listed both in the domestic and the foreign market.As a case study we use the...

We argue that a transaction tax is likely to amplify, not dampen, volatility in the foreign exchange markets.Our argument stems from the decentralised trading practice and the presumable discrepancy between informed and uninformed traders valuations.Since informed traders valuations are likely...

In this paper, we propose a new noncausal vector autoregressive (VAR) model for non-Gaussian time series. The assumption of non-Gaussianity is needed for reasons of identifiability. Assuming that the error distribution belongs to a fairly general class of elliptical distributions, we develop an...

No consensus has emerged on how to deal with overnight returns when calculating realized volatility in markets where trading does not take place 24 hours a day. This paper explores several common volatility applications, investigating how the chosen treatment of overnight returns affects the...