Energy Risk - Apr 2017
Articles in this issue
Opec learns to love hedge funds
Net long position weakens after cartel announces change in attitude to price drivers
Energy firms increase use of trade surveillance technology
Robotic process automation could be next step for trade surveillance
EC rebuffs euro clearing relocation policy in Emir review
UK pushes back against French demands to shift CCP business post-Brexit
Mifid trading rules cast a shadow over position limits
Contracts caught will depend on trading obligation rules that are still unclear
People: Jacob Frenkel joins CME’s markets advisory think-tank
Recent changes at CME, S&P Global, CFTC, Ice, ANZ, Euronext, Finra and Eti
Profile: DRW’s Wilson on risk, regulation and real estate
Most recently standing trial accused of manipulating an interest rate futures market, Don Wilson has had a colourful career
INE oil future to launch ‘as soon as possible’ – CSRC
China's first oil future is still on the cards, but its viability as a new benchmark is far from certain
Executive disorder: little threat to Dodd-Frank from Trump memos
Order to scrap two rules for each new one cannot capture bank regulators or repeal legislation
Stability ahead? Oil prices to tighten as expectations wane
Forecast suggests drop in crude volatility in months ahead
M&A activity surges for well-hedged shale operators
Deal volumes in US shale sector soar as operators slash costs and hedge against falling oil prices
Energy Risk Software Rankings 2017
Top of the pick of ETRM vendors, implementation specialists, data vendors and data managers
Survey: CTRM system upgrades fail to impress
Commodity trading and risk management software moves to the cloud, but experts urge caution
What financialisation means for oil: Ilia Bouchouev of Koch
Investor demand now drives oil prices as much as physical fundamentals
Trump-Putin dialogue tipped to contain energy focus
Former Russian oil minister predicts meeting, but White House has no announcements “at this time”
P&L attribution for energy portfolios with non-linear exposures
Carlos Blanco and Alessandro Mauro explain how non-linear P&L attribution tools can improve a company’s business intelligence capabilities
