Unfinished rules likely to cause continued hedging woes
Post-crisis laws are generating deep uncertainty for commodity market
It was little over a year ago, in May 2013, when a prominent speaker at Energy Risk Summit USA in Houston memorably said the energy industry had been ‘Dodd-Franked’.
The speaker was Lynda Clemmons, principal at NRG Solutions – a unit of New Jersey- and Texas-based utility NRG Energy. What she was referring to was the pernicious effect of post-crisis legislation, which has generated deep uncertainty for industry participants in recent years, causing some companies to exit the commodity markets
More on Risk management
Energy Risk at 30: Learning from the past
Energy Risk looks back at the seminal events and developments that have shaped today’s energy markets
Past disasters can prove the value of energy risk management
Analysing failures and losses at energy firms can underscore the value of consistent, high-quality risk management
How quants shaped the modern energy markets
The business models of today’s utility firms are built on quantitative analysis, but the introduction of these techniques in the 1990s was far from smooth
Interview: Vince Kaminski
Market veteran Vince Kaminski discusses the biggest risks to energy firms today and whether risk teams can ever prove their value
Mounting risk prompts refocus on integrated energy risk management
Energy firms are facing heightened risk due to shifting geopolitics, climate change and the energy transition. As market, credit and enterprise risks ramp up, the need for improved integrated risk management is growing, say risk managers
Energy supply chains seen as a growing risk
Supply chain risk is now a major concern, with some firms even viewing it as an existential threat, survey finds
Can behavioural science curb rogue traders… and compliance costs?
Instead of using surveillance to catch endless bad apples, experts urge banks to clean the barrel
Former regulator urges new approach to AI explainability
Ex-OCC chief Michael Hsu suggests shift from academic analysis to decision-based techniques
