Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a sharp...

Money demand in Venezuela is modeled using structural time series and error correction approaches, for the period 1993.1 to 2001.4. The preferred model features seasonal cointegration and was estimated following a structural time series approach. There are similarities in the long-run behavior...

I examine the relative information roles among West Texas Intermediate spot crude price and four futures contracts (F1 through F4) with different maturities. Using a cointegrated system with a non-unitary cointegrating vector, I address price discovery by investigating which price is more...

This paper develops a new methodology that makes use of the factor structure of large dimensional panels to understand the nature of non-stationarity in the data. We refer to it as PANIC - a 'Panel Analysis of Non-stationarity in Idiosyncratic and Common components'. PANIC consists of univariate...

This study investigates the relationship between exchange rate volatility and cur-rency substitution in Nigeria, using Autoregressive Distributed Lag (ARDL) model.After accounting for the presence of structural breaks, evidence from the findingsshows that domestic interest rate and expected...