EconPapers    
Economics at your fingertips  
 

Model based Monte Carlo pricing of energy and temperature Quanto options

Massimiliano Caporin, Juliusz Preś and Hipolit Torro

Energy Economics, 2012, vol. 34, issue 5, 1700-1712

Abstract: Weather derivatives have become very popular tools in weather risk management in recent years. One of the elements supporting their diffusion has been the increase in volatility observed on many energy markets. Among the several available contracts, Quanto options are now becoming very popular for a simple reason: they take into account the strong correlation between energy consumption and certain weather conditions, so enabling price and weather risk to be controlled at the same time. These products are more efficient and, in many cases, significantly cheaper than simpler plain vanilla options. Unfortunately, the specific features of energy and weather time series do not enable the use of analytical formulae based on the Black-Scholes pricing approach, nor other more advanced continuous time methods that extend the Black-Scholes approach, unless under strong and unrealistic assumptions. In this study, we propose a Monte Carlo pricing framework based on a bivariate time series model. Our approach takes into account the average and variance interdependence between temperature and energy price series. Furthermore, our approach includes other relevant empirical features, such as periodic patterns in average, variance, and correlations. The model structure enables a more appropriate pricing of Quanto options compared to traditional methods.

Keywords: Weather derivatives; Quanto option pricing; Derivative pricing; Model simulation and forecast (search for similar items in EconPapers)
JEL-codes: C32 C51 C53 G17 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988312000369
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Model Based Monte Carlo Pricing of Energy and Temperature Quanto Options (2010) Downloads
Working Paper: Model based Monte Carlo pricing of energy and temperature quanto options (2010) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:34:y:2012:i:5:p:1700-1712

DOI: 10.1016/j.eneco.2012.02.008

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:eneeco:v:34:y:2012:i:5:p:1700-1712