This paper builds and implements a multifactor stochastic volatility model for the latent (and observable) volatility from the quarter and year forward contracts at the NASDAQ OMX Commodity Exchanges, applying Bayesian Markov chain Monte Carlo simulation methodologies for estimation, inference,...

Emerging markets often go through periods of financial turbulence and the estimation of market risk measures may be problematic. Online search queries and implied volatility may (or may not) improve the model estimates. In these situations a step-by-step analysis with R and Russian market data...

Volatility clustering and fat tails are prominently observed in financial markets. Here, we analyze the underlying mechanisms of three agent-based models explaining these stylized facts in terms of market instabilities and compare them on empirical grounds. To this end, we first develop a...

Für eine effiziente Kapitalallokation, insbesondere mit Blick auf die Hinterlegung ausreichender Eigenmittel zur Absicherung gegen extreme Marktbewegungen, ist eine möglichst genaue Abschätzung der Marktrisiken erforderlich. Die Ermittlung des Value-at-Risk ist in diesem Zusammenhang von...