This research is focused on analyzing spillover effects from crude oil to agricultural commodities futures markets. Moreover, emphasis is placed on the “reverse” relationships between spot and futures markets with particular attention given to the interrelationships. The study is interesting for reasons of economics and finance as well as for taking into account geo-political considerations. This study lends insight into the empirical validity of reverse regressions hypothesizing that spot prices today contain information useful for predicting forward rates in the future. This paper considers the importance of the effects of temporal aggregation as well as alternative time series model specifications and assumptions on the distributions of residuals. In addition to the assumption of normality, the paper considers use of a fat-tailed distribution (multivariate t-distribution) to examine the robustness of results that are based on the normality assumption. Finally, models are compared in terms of ex post predictive validity.
Review of Quantitative Finance and Accounting – Springer Journals
Published: Apr 30, 2015
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