Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 3 of 3
Full-Text Articles in Accounting
Risk Management And Hedging Approaches In Energy Markets, Jim Hanly
Risk Management And Hedging Approaches In Energy Markets, Jim Hanly
Articles
Energy based assets are showing increased susceptibility to volatility arising out of geo-political, economic, climate and technological events. Given the economic importance of energy products, their market participants need to be able to access efficient strategies to effectively manage their exposures and reduce price risk. This chapter will outline the key futures based hedging approaches that have been developed for managing energy price risk and evaluate their effectiveness. A key element of this analysis will be the breadth of assets considered. These include Crude and Refined Oil products, Natural Gas, and wholesale Electricity markets. We find significant differences in the …
Managing Energy Price Risk Using Futures Contracts: A Comparative Analysis, Jim Hanly
Managing Energy Price Risk Using Futures Contracts: A Comparative Analysis, Jim Hanly
Articles
This paper carries out a comparative analysis of managing energy risk through futures hedging, for energy market participants across a broad dataset that encompasses the largest and most actively traded energy products. Uniquely, we carry out a hedge comparison using a variety of risk measures including Variance, Value at risk (VaR), and Expected Shortfall as well as a utility based performance metric for two different investor horizons; weekly and monthly. We find that hedging is effective across the spectrum of risk measures we employ. We also find significant differences in both the hedging strategies and the hedging effectiveness of different …
Hedging Effectiveness Under Conditions Of Asymmetry, Jim Hanly, John Cotter
Hedging Effectiveness Under Conditions Of Asymmetry, Jim Hanly, John Cotter
Articles
We examine whether hedging effectiveness is affected by asymmetry in the return distribution by applying tail specific metrics, for example, Value at Risk, to compare the hedging effectiveness of short and long hedgers. Comparisons are applied to a number of hedging strategies including OLS, and both symmetric and asymmetric GARCH models. We apply our analysis to a dataset consisting of S&P500 index cash and futures containing symmetric and asymmetric return distributions chosen ex-post. Our findings show that asymmetry reduces out-of-sample hedging performance and that significant differences occur in hedging performance between short and long hedgers.