This paper discusses Bayesian inference for stochastic volatility models based on continuous superpositions of Ornstein-Uhlenbeck processes. These processes represent an alternative to the previously considered discrete superpositions. An interesting class of continuous superpositions is defined...

Supply-leading theory predicts that the financial sector development precedes economic development while demand-following theory believes that the economy should develop, then the financial sector follows. This study exploits the financial sector and economic development relationship in a...

We develop methods for Bayesian model averaging (BMA) or selection (BMS) in Panel Vector Autoregressions (PVARs). Our approach allows us to select between or average over all possible combinations of restricted PVARs where the restrictions involve interdependencies between and heterogeneities...

Purpose: The scope of this paper is to see if the aggregate information and communications technology index (ICT) drives firm performance (profitability and efficiency) for BRICS countries from a des-aggregate panel data of the firm-yearly level (by country) during 2014-2022, from an aggregate...

The study analyses comovement between the real effective exchange rate of South Africa and those of a sample of countries that include the world’s major economies as well as emerging and developing economies. The comovement is examined over the short and long term as well as pre and post the...

The study analyses comovement between the real effective exchange rate of South Africa and those of a sample of countries that include the world’s major economies as well as emerging and developing economies. The comovement is examined over the short and long term as well as pre and post the...

This paper investigates the use of DMA approach for identifying good inflation predictors and forecasting inflation in Mongolia, one of the most commodity dependent economies, using dynamic model averaging (DMA). The DMA approach allows for both set of predictors for inflation and marginal...

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 (ADL) model is chosen. The results show that a...