In this note we present an updated algorithm to estimate the VAR with stochastic volatility proposed in Mumtaz (2018). The model is re-written so that some of the Metropolis Hastings steps are avoided.

This paper presents a data-oriented analysis of the effects of different kinds of economic shocks on Chilean output growth and inflation over the last 40 years. Two important results highlight the role of trade openness and countercyclical monetary policies to explain structural changes in the...

The aim of this paper is to provide an application of the Shapley Value to decompose financial portfolio risk. Decomposing the sample covariance risk measure yields relative measures, which enable securities of a portfolio to be classified according to risk scales.

In this study, volatility of sock return behavior through a regime-Switching Asymmetric Power GARCH Model (RS-APGARCH) analyses in Istanbul Stock Exchange (ISE), Turkey, during the period of 1988-2006 and show that ISE's asymmetric response and the intensity of this response to good and/or bad...

We develop a general econometric model of currency crises and contagion that integrates a number of important features appearing in many different models recently proposed in the literature. In particular, we consider a Markov regime switching vector autoregression conditional heteroskedastic...

Leveraging Wall Street Journal news, recent developments in textual analysis, and generative AI, we estimate a narrative decomposition of the dollar exchange rate. Our findings shed light on the connection between economic fundamentals and the exchange rate, as well as on its absence. From the...

Leveraging Wall Street Journal news, recent developments in textual analysis, and generative AI, we estimate a narrative decomposition of the dollar exchange rate. Our findings shed light on the connection between economic fundamentals and the exchange rate, as well as on its absence. From the...

In this paper, using the MCMC method, we derive the conditional distribution of "mean variance" variable. This random variable appears in the option pricing problem under the stochastic volatility assumption. Two real data sets are considered. -- conditional distribution ; equity returns ; MCMC...

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so...