This paper presents an analysis of different market designs under uncertainty about the future growth rate of demand. Markets for electricity generation appear to be prone to an investment cycle due to their capital-intensiveness and the long lead time of new generation facilities. We tested the sta
The effect of mean reversion on investment under uncertainty
β Scribed by Sudipto Sarkar
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 292 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0165-1889
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β¦ Synopsis
Mean-Reverting processes are appropriate for most "real option" investment models, yet Geometric Brownian Motion (GBM) processes are generally used for tractability. Hassett and Metcalf (J. Econom. Dyn. Control 19 (1995) 1471-1488) argue that using a GBM process is justiΓΏed because mean-reversion has two opposing e ects-it brings the investment trigger closer, and also reduces the conditional volatility (thereby lowering the likelihood of reaching the trigger)and the overall e ect on investment should be negligible for most reasonable parameter values. This paper extends the Hassett and Metcalf model by incorporating a third factor, the e ect of mean-reversion on systematic risk. The main result is that mean reversion, in general, does have a signiΓΏcant impact on investment. Moreover, this e ect could be either positive or negative, depending on various factors such as project duration, cost of investing, interest rate, etc. Thus it is generally inappropriate to use the GBM process to approximate a mean-reverting process.
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