Applied risk management series: modelling spreads in energy markets
The modelling of energy spreads, surprisingly, is one of the most overlooked areas in energy finance. Carlos Blanco, Michael Pierce and José Ramón Aragonés explore the most widely used one-factor and two-factor spread models for derivatives valuation and risk management
Spread relationships such as production, calendar and geographical spreads are critical drivers of physical market trading strategies and asset-hedging activities. However, despite their crucial role in most energy portfolios, modelling energy spreads for derivatives valuation and risk management purposes is probably one of the most overlooked and under-researched areas of energy finance.
In this
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 Risk management
AI and the next era of Apac compliance
How Apac compliance leaders are preparing for the next era of AI-driven oversight
Responsible AI is about payoffs as much as principles
How one firm cut loan processing times and improved fraud detection without compromising on governance
Op risk data: Low latency, high cost for NSE
Also: Brahmbhatt fraud hits BlackRock, JP Morgan slow to shop dubious deals. Data by ORX News
Transforming the trade lifecycle with pricing and reference data in the cloud
LSEG is developing its cloud-based data service to reflect how financial institutions now use information to feed systems and generate insight
Clearing houses warn Esma margin rules will stifle innovation
Changes in model confidence levels could still trip supervisory threshold even after relaxation in final RTS
Institutional priorities in multi-asset investing
Private markets, broader exposures and the race for integration
12 angry members: why dissent is growing on the FOMC
Hardening views on wisdom of further cuts mean committee’s next meeting is unlikely to be harmonious
LSEG streamlines post-trade efficiency across cleared and uncleared markets
LSEG’s Post Trade Solutions extends clearing-style efficiencies to bilateral markets, helping Apac clients navigate rising margin and risk management pressures
