Defining Trading Expectations
Joaquin Narro and Monica Caamano
Defining Trading Expectations
Introduction
The Energy Supply and Demand Conundrum
A Brief History of Energy Markets
Systematic Trading in Energy Markets
The Trading Edge
Defining Trading Expectations
Exploring Technical Modelling in Idiosyncratic Energy Markets
Exploring Fundamental Modelling
Introducing Cycle Analysis and Monte Carlo Simulations
Data: Boundaries and Assumptions
Estimating Model Lifetime
Optimising Performance and Risk
Pitfalls in Systematic Model Development
Model Production
Portfolio Construction
Incorporating Human Behaviour
References
Trading expectations depend on the circumstances. What may be a satisfactory trading expectation for a stand-alone, new proprietary trader may not be so for the proprietary trading book of a trader who also sees significant institutional flow. Ultimately, trading expectations should at least match what can already be achieved, whether internally or externally. This is what we call benchmarking. We consider two intrinsic elements when defining trading expectations: return and risk, with special attention paid to incorporating maximum loss into our analysis. Out of all the strategies developed, we only choose those that satisfy our expectations for trading.
To facilitate discrimination between strategies, we start by differentiating between “experienced” and “inexperienced” environments.
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Experienced environment: We define an experienced environment as one where we have pre-existing, real historical performance data – for example, the existing energy trading desk of a utility or bank.
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Inexperienced environment: An inexperienced environment would be the opposite – ie, one where there is no pre-existing performance data. Trading expectations would be
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