Suarez, Ronny (2012): Modeling the impact of climate change in hydropower projects’ feasibility valuation.
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In this paper a case study is presented to propose an alternative mechanism to include the impact of climate change into the hydropower projects’ feasibility valuation. We started from an independent engineer historical energy generation simulations; therefore, applying mixing unconditional disturbance and extreme value theory, a new path that satisfies a return level’ specification is created. The new path is used to analyze the effect of extreme events on the internal rate of return of the project. This mechanism could also be used to execute an educated guess as simple sensitivity test.
|Item Type:||MPRA Paper|
|Original Title:||Modeling the impact of climate change in hydropower projects’ feasibility valuation|
|Keywords:||Extreme Value Theory, Generalized Pareto Distribution, Return Level, Mixing Unconditional Disturbances, Climate Change, Stress Testing|
|Subjects:||C - Mathematical and Quantitative Methods > C0 - General > C00 - General
G - Financial Economics > G0 - General > G00 - General
|Depositing User:||Ronny Suarez|
|Date Deposited:||13. Sep 2012 06:08|
|Last Modified:||16. Feb 2013 09:44|
Aragones, J.R., Blanco, C., Dowd, K. (2001). Incorporating Stress Tests into Market Risk Modeling. Derivatives Quarterly, p. 45.
Harrison, G., Whittington, B., and Wallace, R. (2003). Institute of Electrical and Electronics Engineers. Climate Change Impacts on Financial Risk in Hydropower Projects. Power Systems, 18 (4), p. 1329.
IPCC: Intergovernmental Panel on Climate Change. (2011). Renewable Energy Sources and Climate Change Mitigation. Cambridge University Press, p. 447.
IPCC: Intergovernmental Panel on Climate Change. (2007). Climate Change. (2007). Impacts, Adaptation and Vulnerability. Cambridge University Press, p. 583.
McNeil, A. J. (1999). Extreme Value Theory for Risk Managers. Internal Modelling and CAD II. RISK Books, 93-113.
Schachter, B. (1998): The Value of Stress Testing in Market Risk Management. Derivatives Risk Management Service.
Tompkins, R. G., and D'Ecclesia, R. L. (2006). Unconditional Return Disturbances: A Non-parametric Simulation Approach. Journal of Banking & Finance: 30(1), 287-314.