Integrated Risk Modelling for Trading & Hedging Decisions
Turning Quantitative Models & Systems for physical and derivatives portfolios in energy and commodity markets into Decision-Support Tools. This article explores some of the benefits of having a shared risk information environment to support trading, valuation, hedging, and risk management decisions.
By Carlos Blanco & Michael Pierce
institutions. There are multiple reasons for this system sub- performance. On one side, some energy risk managers have fallen into the complacency trap. Without additional pressure from senior managers or regulators to improve the risk models and metrics used as part of the risk management process, some managers have opted to maintain the status quo, allowing their firms to implement ETRM systems that offer limited risk functionality but excel at performing other tasks such as scheduling, nomination or accounting for physical trades. As a result, those risk managers and traders find themselves
T
he risk technology and models used by most Energy Trading and Risk Management Systems (ETRM) is years behind from the state of the practice in financial
having to conduct a piece-meal analysis of the various risks involved in trading and hedging strategies from scattered sources of information residing in different systems. Other managers have taken a more proactive role, and
regularly identify the key risk information gaps (Table 1) and continually develop and improve the tools to breach them.
Dynamic Risk Simulation & Decision-Support Metrics Traditionally, risk managers at many energy firms have
been too busy implementing short-term static risk metrics such as Value at Risk. Many of those metrics have significant limitations, and do not allow the inclusion of material risks in a transparent and efficient manner.
Organisational Level Board of Directors
Table 1: Main Information Gaps From a Risk Management Perspective Risk Management Information Gaps
Greater transparency on material risks and better understanding of high level risk/return tradeoffs of alternative hedging alternatives.
Senior Management
Knowledge of firm-wide exposures and interactions. Impact of hedging on shareholder value maximization. Evaluation of risk-return tradeoffs and optimisation based on risk tolerance and multiple constraints.
CFO / Treasury
Anticipate potential cash flow shortfalls and develop contingency plans. Evaluation of pre- and post- hedge effectiveness. Negotiation of key price and collateral clauses in long term contracts. Risk-adjusted pricing for large transactions.
Procurement/Logistics Groups
Market Risk Managers
Assistance with (re)negotiation of critical contract clauses. Increased focus on operational efficiency around physical procurement contracts. Benchmarks to determine group performance.
In-depth understanding of multiple risk dimensions before and after hedging at the portfolio level (market, collateral, liquidity, cash flow…).
Credit Risk Managers Source: NQuantX worldPower 2010 37
Dynamic Counterparty risk assessments. Impact of netting and collateral clauses in OTC Master Agreements (netting and collateral). Integration of Accounts Payable and Receivables, as well as potential collateral needs in the cash flow management programme.
Reports & Metrics
Risk and Hedging Strategy Dashboards.
Firmwide exposure; ‘At-Risk’ and Hedge recommendations . Stress Test Reports.
Cash Flow at Risk; Collateral at Risk; Hedge effectiveness; Earnings at Risk.
Cost-at-Risk; Operating Cash Flows reports.
Dynamic risk simulation of material risks. Valuation and risk adjustments.
Potential Future Exposure and Credit Risk Reports. Risk charges and risk-adjusted pricing.
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