This paper derives the asymptotic distribution for a number of rank-based and classical residual specification tests in AR-GARCH type models. We consider tests for the null hypotheses of no linear and quadratic serial residual autocorrelation, residual symmetry, and no structural breaks. For...

We propose a new method to model hedge fund risk exposures using relatively high frequency conditioning variables. In a large sample of funds, we find substantial evidence that hedge fund risk exposures vary across and within months, and that capturing within-month variation is more important...

This paper provides evidence of heterogeneous treatment effects on trade from switching among three types of de-facto exchange rate regimes: freely floating, currency bands, and pegs or currency unions. A cottage literature at the interface of macroeconomics and international economics focuses...

This paper investigates whether oil prices have a reliable and stable out-of-sample relationship with the Canadian/U.S dollar nominal exchange rate. Despite state-of-the-art methodologies, we find little systematic relation between oil prices and the exchange rate at the monthly and quarterly...

Following the Asian financial crisis in 1997-98, a number of Asian central banks adopted inflation targeting. We explore how successful this framework has been by looking at the persistence of inflation, as measured by the sum of the coefficients in an autoregressive model for inflation, using a...

This paper proposes new methodologies for evaluating out-of-sample forecasting performance that are robust to the choice of the estimation window size. The methodologies involve evaluating the predictive ability of forecasting models over a wide range of window sizes. We show that the tests...

The collapse of the global economy in 2008, following the outbreak of the financial crisis, and the ensuing economic developments of the so-called Great Recession (GR) led many economists to suggest that the Great Moderation (GM) had, indeed, come to an end. This paper offers evidence that the...

We propose a new approach to imposing economic constraints on time-series forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We...

We examine the finite-sample performance of small versus large scale dynamic factor models. Our Monte Carlo analysis reveals that small scale factor models out-perform large scale models in factor estimation and forecasting for high levels of cross-correlation across the idiosyncratic errors of...

To perform real-time business cycle inferences and forecasts of GDP growth rates in the Euro area, we use an extension of the Markov-switching dynamic factor models that accounts for the specificities of the day to day monitoring of economic developments such as ragged edges, mixed frequencies...