Toward hedge ratios for hydropower production

The electricity price and production volume determine the revenue of a hydropower producer. Inflow variations to hydro reservoirs and high price volatility result in significant cash flow uncertainty. A copula-based Monte Carlo model is used to relate price and production volume, and to find optimal...

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Main Authors: Nordtveit, Audun, Watle, Kim Thomassen
Format: Others
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse 2012
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20913
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spelling ndltd-UPSALLA1-oai-DiVA.org-ntnu-209132013-06-23T04:11:27ZToward hedge ratios for hydropower productionengNordtveit, AudunWatle, Kim ThomassenNorges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelseNorges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelseInstitutt for industriell økonomi og teknologiledelse2012The electricity price and production volume determine the revenue of a hydropower producer. Inflow variations to hydro reservoirs and high price volatility result in significant cash flow uncertainty. A copula-based Monte Carlo model is used to relate price and production volume, and to find optimal hedge ratios through minimization of risk measures such as variance, hedge effectiveness, cash flow at risk and conditional cash flow at risk. All risk measures argue for an optimal hedge ratio between 35 and 60\% of expected production. The highest risk reduction is achieved by the use of forward contracts with long time to maturity, but at the expense of a low risk premium. Conversely, short-term futures and forwards only provide marginal risk reduction, but can yield attractive positive risk premiums. These findings underline the importance of distinguishing the use of derivative contracts for speculation and hedging purposes, through positions in short-term and long-term contracts respectively. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20913Local ntnudaim:7913application/pdfinfo:eu-repo/semantics/openAccess
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language English
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description The electricity price and production volume determine the revenue of a hydropower producer. Inflow variations to hydro reservoirs and high price volatility result in significant cash flow uncertainty. A copula-based Monte Carlo model is used to relate price and production volume, and to find optimal hedge ratios through minimization of risk measures such as variance, hedge effectiveness, cash flow at risk and conditional cash flow at risk. All risk measures argue for an optimal hedge ratio between 35 and 60\% of expected production. The highest risk reduction is achieved by the use of forward contracts with long time to maturity, but at the expense of a low risk premium. Conversely, short-term futures and forwards only provide marginal risk reduction, but can yield attractive positive risk premiums. These findings underline the importance of distinguishing the use of derivative contracts for speculation and hedging purposes, through positions in short-term and long-term contracts respectively.
author Nordtveit, Audun
Watle, Kim Thomassen
spellingShingle Nordtveit, Audun
Watle, Kim Thomassen
Toward hedge ratios for hydropower production
author_facet Nordtveit, Audun
Watle, Kim Thomassen
author_sort Nordtveit, Audun
title Toward hedge ratios for hydropower production
title_short Toward hedge ratios for hydropower production
title_full Toward hedge ratios for hydropower production
title_fullStr Toward hedge ratios for hydropower production
title_full_unstemmed Toward hedge ratios for hydropower production
title_sort toward hedge ratios for hydropower production
publisher Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20913
work_keys_str_mv AT nordtveitaudun towardhedgeratiosforhydropowerproduction
AT watlekimthomassen towardhedgeratiosforhydropowerproduction
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