This paper examines how regulatory interventions can affect the market risk of electricity utilities and telecom carriers traded in the Brazilian stock market. Our article uses a bivariate Generalized AutoRegressive Conditional Heteroskedasticity (GARCH - BEKK) model to analyze the impact of two...

We propose a new approach to model high and low frequency components of equity correlations. Our framework combines a factor asset pricing structure with other specifications capturing dynamic properties of volatilities and covariances between a single common factor and idiosyncratic returns....

Vorliegendes Arbeitspapier analysiert die Einflüsse intertemporaler Renditezusammenhänge und fester Startwerte in Vektorautoregressions-(VAR-) Modellen für stetige Renditen anhand des Vergleichs mit einem statischen Random-Walk-Modell.

The purpose of this paper is to study the compensation for in ation risks priced in sovereign bond yields. And we do so by modelling the time-varying dynamics of asset returns and inflation, and then estimating the cost of hedging in ation risks from the perspective of a well diversified...

We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized...

Stock and oil relationship is usually time-varying and depends on the current economic conditions. In this study, we propose a new Dynamic Stochastic Mixed data frequency sampling (DSM) copula model, that decomposes the stock-oil relationship into a short-run dynamic stochastic component and a...

Stock and bond are the two most crucial assets for portfolio allocation and risk management. This study proposes generalized autoregressive score mixed frequency data sampling (GAS MIDAS) copula models to analyze the dynamic dependence between stock returns and bond returns. A GAS MIDAS copula...

A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...

This study investigated how stock market volatility responded dynamically to unexpected changes during the COVID-19 pandemic and the resulting uncertainty in Thailand. Using a multivariate GARCH-BEKK model, the conditional volatility dynamics, the interlinkages, and the conditional correlations...

In this paper we investigate whether the currency risk is priced in international stock markets. We suggest a parsimonious version of the international capital asset pricing model with an EGARCH-M(1,1) specification of the second moments' dynamics of stock and currency returns, assuming that the...