The paper develops measures of home bias for 48 countries over the period 2001 to 2011 by employing various models: International Capital Asset Pricing Model (ICAPM), Mean-Variance, Minimum-Variance, Bayes-Stein, Bayesian and Multi-Prior. ICAPM country portfolio weights are computed relative to...

The paper develops foreign equity bias measures for Australian domiciled mutual funds, which invest in 41 countries worldwide, over the period 2002 to 2012, by employing various models i.e. International Capital Asset Pricing, Mean-Variance, Minimum-Variance, Bayes-Stein, Bayesian and...

During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alternative to traditional linear models....

This paper develops a small open economy (SOE) dynamic stochastic general equilibrium (DSGE) model that helps to explain business cycle synchronization between an emerging market and advanced economies. The model captures the specificities of both economies (e.g. primary commodity,...

This paper develops a small open economy (SOE) dynamic stochastic general equilibrium (DSGE) model that helps to explain business cycle synchronization between an emerging market and advanced economies. The model captures the specificities of both economies (e.g. primary commodity,...

A State Price Density (SPD) is the density function of a risk neutral equivalent martingale measure for option pricing, and is indispensible for exotic option pricing and portfolio risk management. Many approaches have been proposed in the last two decades to calibrate a SPD using financial...

This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the parsimonious and effective GARCH(1,1) model with Student-t innovations. The estimation procedure is fully automatic and thus avoids the tedious task of tuning a MCMC sampling...