Structured Products on Electricity

Business & Finance, Finance & Investing, Banks & Banking
Cover of the book Structured Products on Electricity by Florian Giger, GRIN Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Florian Giger ISBN: 9783640231881
Publisher: GRIN Publishing Publication: December 15, 2008
Imprint: GRIN Publishing Language: English
Author: Florian Giger
ISBN: 9783640231881
Publisher: GRIN Publishing
Publication: December 15, 2008
Imprint: GRIN Publishing
Language: English

Master's Thesis from the year 2008 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 6.0 , University of Lausanne, 156 entries in the bibliography, language: English, abstract: The Swiss electricity market has been facing structural changes in recent years due to market deregulation activities. This development has been accompanied by the emergence of spot markets where electricity is traded between producer and purchaser. Since the price charged to the end-customer turns out to be more exposed to market prices of electricity, the need for derivatives with a risk management purpose arises. A more recent asset class such as structured products may be used as a risk management tool. This paper focuses on the pricing of various structured products with the Swiss energy price indices as an underlying. Since electricity has particular features that result in a peculiar stochastic process, the pricing of electricity derivatives cannot rely on traditional pricing formulas that have been developed for equity or commodity underlyings. Rather, there is a need for a dynamic model that captures the unique characteristics of electricity. In this paper, a new jump diffusion process is proposed and estimated that is able to incorporate the Swiss electricity price properties. Building on this model, a Monte Carlo simulation is applied that allows one to price differing electricity derivatives that are embedded in structured products. Using the option pricing results, the feasibility and attractiveness of a defined range of structured products is investigated. In order to include the special properties of electricity, new structured products are developed that are more appropriate as risk management tools. One of the main contributions of this paper is the practical approach of how to price structured products. Keywords: Electricity, SWEP, Swissix, Structured Products, Monte Carlo, Jump Diffusion, Derivatives pricing

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Master's Thesis from the year 2008 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 6.0 , University of Lausanne, 156 entries in the bibliography, language: English, abstract: The Swiss electricity market has been facing structural changes in recent years due to market deregulation activities. This development has been accompanied by the emergence of spot markets where electricity is traded between producer and purchaser. Since the price charged to the end-customer turns out to be more exposed to market prices of electricity, the need for derivatives with a risk management purpose arises. A more recent asset class such as structured products may be used as a risk management tool. This paper focuses on the pricing of various structured products with the Swiss energy price indices as an underlying. Since electricity has particular features that result in a peculiar stochastic process, the pricing of electricity derivatives cannot rely on traditional pricing formulas that have been developed for equity or commodity underlyings. Rather, there is a need for a dynamic model that captures the unique characteristics of electricity. In this paper, a new jump diffusion process is proposed and estimated that is able to incorporate the Swiss electricity price properties. Building on this model, a Monte Carlo simulation is applied that allows one to price differing electricity derivatives that are embedded in structured products. Using the option pricing results, the feasibility and attractiveness of a defined range of structured products is investigated. In order to include the special properties of electricity, new structured products are developed that are more appropriate as risk management tools. One of the main contributions of this paper is the practical approach of how to price structured products. Keywords: Electricity, SWEP, Swissix, Structured Products, Monte Carlo, Jump Diffusion, Derivatives pricing

More books from GRIN Publishing

Cover of the book Bilingualism and Multiculturalism in Canada by Florian Giger
Cover of the book The concept of Time and Duration in Virginia Woolfs novels - A stream of consciousness by Florian Giger
Cover of the book Financing Education in Tanzania: Policy Transformations, Achievements and Challenges by Florian Giger
Cover of the book Mukherjee's 'Jasmine' and Kincaid's 'Lucy'. First generation immigrant novels by Florian Giger
Cover of the book The God Within. The Mystery of the Divine in Shakespeare's Plays by Florian Giger
Cover of the book Intelligence reform and counterterrorism effectiveness by Florian Giger
Cover of the book Poland's Phyrric victory over bribery and collusion on its way to the European Union by Florian Giger
Cover of the book Victorian Poetry High and Low - Sammlung von Thesenpapieren by Florian Giger
Cover of the book American Indian English: Background and Development by Florian Giger
Cover of the book Global Governance and the United Nations by Florian Giger
Cover of the book Reading Jackie Kay's The Adoption Papers (1990-1991) by Florian Giger
Cover of the book Globalisation and the Soviet Union by Florian Giger
Cover of the book Financial Crisis - Impacts and Reactions by Florian Giger
Cover of the book A Consumer Bahaviour Case Study by Florian Giger
Cover of the book Möglichkeiten der Qualitätsprüfung im ambulanten Sozialen Dienst der Justiz by Florian Giger
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy