Evaluating VaR and ES for commodities - both conventionally and with neural networks
As commodities are becoming more popular and accessible assets for speculative and hedging purposes, the limited research regarding risk management for said asset-class justifies further contribution to the deficient output. Many previous studies have highlighted the extraordinary high volatility, with non-linear and clustering characteristics associated with commodities. Hence, incorporating vola