The aim of this study was to determine whether referendums affect stock price risks and returns, using an event study approach. Daily end period data for the Swiss stock market index, the STOXX European market index, and the Swiss/US exchange rate running from the beginning of 2004 to June 2021,...

The aim of this article was to assess the use of a group-based project for an empirical finance type of course. It examines the outline of the project, the methodology the students are encouraged to follow and how the course is assessed. This approach enables the students to apply many of the...

The aim of this study is to determine the effects of discovering oil on the performance of a small open economy, in this case the Falkland Islands. Using an event study approach and the return on one of the Falkland Islands´ main companies, the results suggest that the discovery of oil has...

The aim of this study is to determine the main factors affecting the use of foreign exchange hedging instruments by Chinese firms, following their regulatory changes in the derivative markets. The original contributions to this literature include the use of a panel dataset of 316 Chinese firms...

The aim of this study is to determine if capital flows can account for the international effects on domestic monetary policy, using an augmented Taylor rule model. In addition to the standard determinants of nominal interest rates, we include capital flow measures to show how central banks...

We investigate the finite sample behaviour of the ordinary least squares (OLS) estimator in vector autoregressive (VAR) models. The data generating process is assumed to be a purely nonstationary first-order VAR. Using Monte Carlo simulation and numerical optimization we derive response surfaces...

Vector autoregressions (VARs) are an important tool in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a...

Vector autoregressions (VARs) are important tools in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a...