A pairs trading strategy based on switching-regime volatility for commodity futures
A pairs trading strategy on energy, agricultural and index futures uses different parameters according to a volatility regime that is detected using a threshold evaluated in two ways, namely by means of a mixture of two Gaussian densities and a Markov-switching model. When associated to cointegration, this investment algorithm gives a larger Sharpe ratio with respect to classical methods
Relative value trading was developed during the mid-1980s by a team led by Nunzio Tartaglia (Gatev et al, 2006). The idea prescribes to short the overpriced asset and buy the undervalued one when they diverge, counting on a long-run equilibrium and a future convergence of the two assets.
Click here to view the article.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Commodities
Energy Risk Asia Awards 2024: The winners
Winning firms adapt to change with exemplary risk management skills
Foreign funds are bulls in China’s onshore commodity futures
Growing participation from overseas investors is boosting liquidity in what’s already a boom market
Energy Risk Software Rankings 2024: IT demands increase amid rising risk
Heightened geopolitical and credit risk increase requirements on commodities software
Energy Risk Asia Awards 2023: The winners
Winning firms demonstrate resilience and robust risk management amid testing times
ION Commodities: addressing the market’s recent pain points
Energy Risk Software Rankings winner’s interview: ION Commodities
Energy Risk Commodity Rankings 2023: adapting to new market dynamics
Winners of the 2023 Commodity Rankings provided reliability when clients faced extreme change
Energy Risk Software Rankings 2023: managing uncertainty
Unpredictable markets make CTRM software choices key
Navigating the volatility and complexity of commodity markets
Commodity markets have experienced significant challenges since the Covid-19 pandemic, the conflict in Ukraine and the subsequent sanctions imposed on Russia. These unprecedented events have caused fluctuations in supply and demand, disrupted global…