A novel spatial autoregressive model for panel data is introduced, which incorporates multilayer networks and accounts for time-varying relationships. Moreover, the proposed approach allows the structural variance to evolve smoothly over time and enables the analysis of shock propagation in...

We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...

In this study, we used the PSTR (panel smooth transition regression) model to investigate the nonlinear relationship between beta (systematic risk) and returns (world market excess returns) for net oil export and net oil import groups. We set the volatility of world market excess return as the...

This paper explores the relationship between equity prices and the current account for 17 industrialized countries in the period 1980 - 2007. Based on a panel vector autoregression, I compare the effects of equity price shocks to those originating from monetary policy and exchange rates. While...

This study examines the comovements of some economic variables and explores the structural factors of macroeconomic volatility in developing and transition economies, using dynamic panel technique. According to an analysis of variance and covariance, we conclude that macroeconomic volatilities...

This paper examines if overreaction of oil price forecasters is related to uncertainty. Furthermore, it takes into account impacts from oil price return and oil price volatility on forecast changes. The panel smooth transition regression model from González et al. (2005) is applied with...

In the present paper the negative impact of interest rates on stock returns will be estimated for the European economies. Data are monthly during the year 2008 and cover the following countries: Belgium, France, Germany, Greece, Ireland, Italy, Netherlands, Portugal and Spain. The elaboration of...

This paper investigated the impact of exchange rate volatility on the automotive industry exports of Korea using a traditional long-run export demand model. In measuring the exchange rate volatility this study employed the General Autoregressive Conditional Heteroscedasticity [GARCH(1,1)] model...

We consider estimating volatility risk factors using large panels of filtered or realized volatilities. The data structure involves three types of asymptotic expansions. There is the cross-section of volatility estimates at each point in time, namely i = 1,...; N observed at dates t = 1;....., T....

This paper develops a new framework and statistical tools to analyze stock returns using high-frequency data. We consider a continuous-time multifactor model via a continuous-time multivariate regression model incorporating realistic empirical features, such as persistent stochastic volatilities...