This paper considers the Samuelson hypothesis, which argues that the futures price volatility increases as the futures contract approaches its expiration. Utilizing intraday data from 20 futures markets in six futures exchanges, we find strong support for the Samuelson hypothesis in agricultural...

In assessing drivers of commodity prices and volatility at this stage of the current super-cycle in commodities (year 12 of a projected 25), it is vital to understand that production cost is a fundamental. Moreover, marginal production costs are among the most powerful drivers of commodity...

Liechtenstein's economy has been heavily affected by the international economic downturn during the financial crisis. Additionally to the deep world recession, Liechtenstein's financial sector was challenged by the Zumwinkel-Affair (data of thousands of tax evaders were sold to several...

Liechtenstein's economy has been heavily affected by the international economic downturn during the financial crisis. Additionally to the deep world recession, Liechtenstein's financial sector was challenged by the "Zumwinkel-Affair" (data of thousands of tax evaders were sold to several...

We revisit Wintenberger (2013) on the continuous invertibility of the EGARCH(1,1) model. We note that the definition of continuous invertibility adopted in Wintenberger (2013) may not always be sufficient to deliver strong consistency of the QMLE. We also take the opportunity to provide other...

Finding a precise variance-covariance matrix is the building block of empirical finance. While microstructure-noise-robust methods for realized volatility are in the mainstream of financial econometrics, little if any attention has been devoted to estimating a noise-free realized covariance for...

The paper aims to estimate the impact of calendar effects in volatility of the preferred and ordinary shares of Vale. The data researched were the stocks prices Vale between January 2, 1995 and October 26, 2011. The Stochastic Volatility Model (SV) was the Model and the Kalman Filter was the...

In this paper, we empirically analyze the effect of the credit crisis of 2008 by adopting coexceedance as a contagion measure. We assess the effect of news of governmental intervention and the collapse of firms during the period from 2007 to 2009 on the coexceedance. Our approach involves...

The study proposes and a family of regime switching GARCH neural network models to model volatility. The proposed MS-ARMA-GARCH-NN models allow MS type regime switching in both the conditional mean and conditional variance for time series and further augmented with artificial neural networks to...

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...