A central issue of monetary policy analysis is the specification of monetary policy shocks. In a structural vector autoregressive setting there has been some controversy about which restrictions to use for identifying the shocks because standard theories do not provide enough information to...

The role of expectations for economic fluctuations has received considerable attention in recent business cycle analysis. We exploit Markov regime switching models to identify shocks in cointegrated structural vector autoregressions and investigate different identification schemes for bi-variate...

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...

We develop likelihood-based tests for autocorrelation and predictability in a first order non-Gaussian and noninvertible ARMA model. Tests based on a special case of the general model, referred to as an all-pass model, are also obtained. Data generated by an all-pass process are uncorrelated...

In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all shocks and impulse responses. In this paper it is...