
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
8 - Managing portfolios
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
In the previous chapter we discussed the methods that can be used to model the pay-offs of a portfolio of weather derivatives, taking into account the distributions of each weather index and the correlations between the indices. We now turn to the question of how portfolios can be managed. We start with a discussion of some of the different ways for measuring the performance of a portfolio. These methods are then applied to the question of how to expand a portfolio (which contracts to add) and how to price contracts against a portfolio. We then discuss various methods for understanding portfolios, and look at the hedging of portfolios using swap contracts.
Risk and return
Having modelled a portfolio using either an index-based method, a daily-simulation-based method or the general method of section 7.8 that mixes the two, there are a lot of questions we can ask to understand better what is creating the total risk and return profile in the portfolio. However, before describing these questions, and how to answer them, we need to look in more detail at how actually to measure risk and return.
Defining return
The word ‘return’ itself is used in a number of different ways in finance. First, we can look back at the performance of an investment that has now run its course. We might calculate the absolute return, which is simply the profit, in monetary units, that the investment yielded.
- Type
- Chapter
- Information
- Weather Derivative ValuationThe Meteorological, Statistical, Financial and Mathematical Foundations, pp. 169 - 191Publisher: Cambridge University PressPrint publication year: 2005