This paper is concerned with simulation based inference in generalized models of stochastic volatility defined by heavy-tailed student-t distributions (with unknown degrees of freedom) and covariate effects in the observation and volatility equations and a jump component in the observation...

This study reconsiders the role of jumps for volatility forecasting by showing that jumps have a positive and mostly significant impact on future volatility. This result becomes apparent once volatility is separated into its continuous and discontinuous component using estimators which are not...

Changes in net positions of foreign and local investors in the forward market may have differential effects on the spot exchange rate. This paper assesses the role of different sectors in the derivatives market and their potential impact with other fundamentals on the spot exchange rate in...

Many companies are setting ambitious targets to reduce their greenhouse gas emissions (GHG) per the Paris Agreement. However, there is limited evidence on the market effects of setting those targets. Using a GARCH model with a trend developed by the authors and a panel fixed effects model, this...

This study investigates the price volatility of metals, using the GARCH and GJR models. First we examine the persistence of volatility and the leverage effect across metal markets taking into account the presence of outliers, and second we estimate the effects of oil price shocks on the price...

Futures contracts on the New York Mercantile Exchange are the most liquid instruments for trading crude oil, which is the world’s most actively traded physical commodity. Under normal market conditions, traders can easily find counterparties for their trades, resulting in an efficient market...

Modeling volatility during a financial crisis where massive shocks are generated presents an ideal environment for investigating the dynamics of volatility during periods of extreme fluctuations for comparison with volatility during more tranquil periods. The objective of this paper is to study...

This paper extends the classical work of bipower variation by allowing the return process to be autocorrelated. We propose a method of estimating the return volatility when the price process is described by a fractal Brownian motion with jumps.

Employing an augmented univariate EGARCH model, we estimate the dynamic impact of information arrival as measured by volume on asymmetric news in the pre and post 2009 global financial crisis in the Athens Stock Exchange (ASE). Our results reveal that trading volume appears to capture a...

This paper analyzes the relationship between complexity in cost structure (Jennings et al., 2013) and stock price volatility concerning Italian Listed Companies to determine over the period of crisis whether firm complexity is associated with risk. Using data collected for 153 available Italian...