Motivated by repeated price spikes and crashes over the last decade, we investigate whether the intensive investment activities of commodity index traders (CITs) have destabilized agricultural futures markets. Using a stochastic volatility model, we treat conditional volatility as an unobserved...

Motivated by repeated price spikes and crashes over the last decade, we investigate whether the intensive investment activities of commodity index traders (CITs) have destabilized agricultural futures markets. Using a stochastic volatility model, we treat conditional volatility as an unobserved...

Asia is presently the most important market for the production and consumption of natural rubber. World prices of rubber are subject to not only to changes in demand, but also speculation regarding future markets. Japan and Singapore are the major future markets for rubber, while Thailand is one...

Financial analysts assume that the reliability of predictions derived from regression analysis improves with sample size. This is generally true because larger samples tend to produce less noisy results than smaller samples. But this is not always the case. Some observations are more relevant...

Groenewold et al. (2004) documented that the Chinese stock market is inefficient. In this paper, we revisit the efficiency problem of the Chinese stock market using time-series model based trading rules. Our paper distinguishes itself from previous studies in several aspects. First, while...

We develop a sequential procedure to test the adequacy of jump-diffusion models for return distributions. We rely on intraday data and nonparametric volatility measures, along with a new jump detection technique and appropriate conditional moment tests, for assessing the import of jumps and...

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The paper provides an analysis of daily changes of German yields of public bonds outstanding for the period 1981-mid 1996. The sample period covers the introduction of financial innovations like future options. In addition, we suppose the interdependence of national bond markets and the activity...

This study investigates the relationship between oil prices and returns on the Nigerian Stock Exchange. By using GARCH-jump models, we are able to model the volatility of stock returns and also take account of the effect of extreme news events on returns. The empirical results show a negative...

The class of mixed normal conditional heteroskedastic (MixN-GARCH) models, which couples a mixed normal distributional structure with GARCH-type dynamics, has been shown to offer a plausible decomposition of the contributions to volatility, as well as excellent out-of-sample forecasting...