Book contents
- Frontmatter
- Contents
- List of figures
- List of tables
- Acknowledgements
- 1 Weather derivatives and the weather derivatives market
- 2 Data cleaning and trends
- 3 The valuation of single contracts using burn analysis
- 4 The valuation of single contracts using index modelling
- 5 Further topics in the valuation of single contracts
- 6 The valuation of single contracts using daily modelling
- 7 Modelling portfolios
- 8 Managing portfolios
- 9 An introduction to meteorological forecasts
- 10 The use of meteorological forecasts in pricing
- 11 Arbitrage pricing models
- 12 Risk management
- 13 Modelling non-temperature data
- A Trend models
- B Parameter estimation
- C Goodness of fit tests
- D Expected pay-offs for normally distributed indices
- E Pay-off variances for normally distributed indices
- F Greeks for normally distributed indices
- G Exact solutions for the kernel density
- H The beta for a normally distributed index
- I Simulation methods
- J Efficient methods for pricing against a portfolio
- References
- Index
12 - Risk management
Published online by Cambridge University Press: 22 September 2009
- Frontmatter
- Contents
- List of figures
- List of tables
- Acknowledgements
- 1 Weather derivatives and the weather derivatives market
- 2 Data cleaning and trends
- 3 The valuation of single contracts using burn analysis
- 4 The valuation of single contracts using index modelling
- 5 Further topics in the valuation of single contracts
- 6 The valuation of single contracts using daily modelling
- 7 Modelling portfolios
- 8 Managing portfolios
- 9 An introduction to meteorological forecasts
- 10 The use of meteorological forecasts in pricing
- 11 Arbitrage pricing models
- 12 Risk management
- 13 Modelling non-temperature data
- A Trend models
- B Parameter estimation
- C Goodness of fit tests
- D Expected pay-offs for normally distributed indices
- E Pay-off variances for normally distributed indices
- F Greeks for normally distributed indices
- G Exact solutions for the kernel density
- H The beta for a normally distributed index
- I Simulation methods
- J Efficient methods for pricing against a portfolio
- References
- Index
Summary
This chapter discusses various aspects of risk management for companies that deal with weather derivatives. The simplest aspect of risk management is estimating the value of currently held positions. This is known as either marking to model or marking to market, depending on how ‘value’ is defined. Mark to model involves calculating expected pay-offs while mark to market looks at the current market value of the contracts held. Having evaluated current positions it is often desirable to understand the risk that these positions could pay out less than the expected pay-offs, or that the expected pay-off could deteriorate with time. We will call these two risks ‘expiry risk’ and ‘actuarial value at risk’ respectively. It can also be useful to understand how much we could lose if we are forced to liquidate our positions as soon as possible. We will call this the ‘liquidation value at risk’, which will often be diffierent from the actuarial value at risk. Finally, one may wish to evaluate risk by counterparty (counterparty credit risk) or the risk of a temporary cashflow shortage (liquidity risk).
Before we describe how these values can be estimated for weather portfolios we will look briefly at how similar quantities are estimated for portfolios of more traditional financial products such as equities. Many of the ideas used in the analysis of equities have been adapted for use in the weather market.
- Type
- Chapter
- Information
- Weather Derivative ValuationThe Meteorological, Statistical, Financial and Mathematical Foundations, pp. 268 - 281Publisher: Cambridge University PressPrint publication year: 2005
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