Pre-congress seminar 1, May 24, 2010
Current perspectives on energy derivatives, structured products and risk management
Ehud I Ronn, Lead Modeller, MORGAN STANLEY
Michael Rosenberg, Director, Energy Trading, EMTRI
8.30 Registration
9:00 The current state of the equity and commodity markets – The
‘Message from Markets’
• Measuring the nervousness/uncertainty of equity and commodity markets
• Assessing the status of credit markets and the credit spread
• Quantifying future inflation rates
• Computing equity markets’ Expected Rates of Return and Risk Premiums
• Projecting expected/forecast crude-oil prices
• Impact of energy prices on consumer prices
• The refining spread and retail gasoline prices
10.30 Coffee break
10:45 Understanding the stochastic behavior and modeling of energy
prices
• Representing energy prices using stochastic processes
• Typical energy price processes: random walk, mean reversion, Brownian motion
• Representing energy prices using stochastic processes
• Single and multi-factor models for futures and forwards
• Description of stochastic processes: Analytical, Tree, Monte Carlo
12.15 Lunch
1.15 Basics of structured products in energy
• Risk exposures of energy players: consumers, producers, traders, ‘all-purpose’
players
• No-arbitrage principle and the replicating portfolio
• Pricing drivers of derivative products: forward prices, volatilities,
correlations, cross-commodity features
• Categorizing derivative products
o Extending collars: trading off risk and return with floors, caps, and collars
o Exotics: baskets, tolling/ heat-rate options for a power plant
o Real options: power swing in retail contracts
3.00 Coffee break
3.15 Risk management in energy
• Measuring price- and quantity-risk exposure at the corporate level
• Hedging corporate-level price- and quantity-risks using linear (futures/swaps)
and non-linear (option) instruments
• Presenting the trade-offs of an optimal corporate risk strategy to
decision-makers
• Value-at-Risk in the Energy Industry
• Overview of VAR
• “Basic Principles” of Value at Risk
• Computation of Analytical VAR
5.15 End of seminar
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