Simulation techniques of Archimedean Copula Estimators: Parametric and Semi-Parametric Approaches

In this paper, we look at two different approaches methodologies for copula estimation. The first is based on a parametric approach using MLE and IFM methods, while the second is entirely based on Kendall's tau and spearman's rho in a semi-parametric context, where the margins are estimated non-parametrically. Interestingly, based on R software simulation techniques, the contribution of their algorithms, approach, and illustration was our main focus for this paper. As an application, a class of Archimedean copulas was notably chosen. This particular class of copulas was also presented for censored data to show the estimator's performance even better.

Understanding the Dependence Structure Between the Futures and Spot Prices of Wheat in Egypt

The aim of this article is to check the dependence structure for the futures-spot prices link of Egyptian wheat. Co-movements between prices are assessed by a GJR-GARCH model and semi-parametric copula estimation. Results suggest a positive futures-spot prices link, which becomes stronger the closer the markets are. Evidence of asymmetric behavior of the prices at times of extreme market situations is found. As a result, increases in wheat futures prices are expected to be passed to the Egyptian spot market, while the prices decline is not passed. This implies that the Egyptian wheat market cannot protect consumers against extreme international wheat price increases.