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
Table of Contents
1. Introduction
2. Electricity Market
2.1 Electricity in the Context
2.2 The Power Markets
2.3 The Power Exchanges
2.4 The Swiss Market
2.5 Electricity as an Investment
3. Characteristics of Electricity Prices and Returns
3.1 Overview
3.2 Correlation and Moment Analysis
3.3 Main Properties of Electricity Prices
4. Estimation of the Stochastic Model
4.1 One-Factor Models
4.2 A Model with Additional Factors
4.3 Parameter Estimation Procedure
4.4 Data Set
4.5 General Calibration Theory
4.6 Disjunction of Jumps and Mean Reverting Process
4.7 Parameter Estimation
4.7.1 Jump Estimation
4.7.2 Mean Reversion
4.8 Recapitulation
5. Structured Products
5.1 Introduction
5.2 The Swiss Product Range
5.3 Overview of the Literature
5.4 In Practice: How Are the Structured Products Priced?
5.4.1 Reverse Convertible
5.4.2 Capital Protected Note
5.4.3 Certificate
5.5 Structured Products on Electricity
5.5.1 Overview
5.5.2 Traditional Structured Products
5.5.3 Exotic Structured Products
6. Pricing Mechanism and Results
6.1 Electricity Option Pricing
6.1.1 Challenges in the Case of Energy
6.1.2 Two Ways to Meet the Challenge
6.1.3 A Simplified Approach
6.2 Monte Carlo Method
6.2.1 Procedure
6.2.2 Discretization
6.2.3 Drawbacks
6.2.4 Simulation Results
6.3 Option Pricing Results
6.4 Structured Product Pricing
6.5 Feasibility of Structured Products on Electricity
7. Conclusion
Research Objectives and Topics
The primary objective of this thesis is to develop a practical approach for pricing structured products tailored to the unique stochastic properties of the Swiss electricity market. The research addresses the challenge of managing electricity price risks in a deregulated environment by creating financial instruments that allow market participants to hedge exposure and capitalize on price volatility.
- Stochastic modeling of the Swiss electricity price dynamics using a multi-factor jump-diffusion process.
- Statistical analysis of electricity price characteristics, including seasonality, volatility, and spikes.
- Evaluation of standardized and exotic structured products for use in energy risk management.
- Implementation of Monte Carlo simulations to price non-standard electricity derivatives.
- Feasibility study on the attractiveness of various product classes (e.g., Reverse Convertibles, Capital Protected Notes).
Excerpt from the Book
1. Introduction
Electricity is essential for modern society, which is why a centralized regulation of the electricity supply has always been considered cogent to guarantee a secure and stable supply. Traditionally, the power industry has been characterized by vertically integrated companies. However, for the past 15 years, electricity markets in Europe have been undergoing a phase of deregulation (Weron, 2006), and have now evolved to liberalized markets where consumers can choose their electricity provider (Vattenfall, 2006). Power suppliers, networks, and end-customers have become independent from each other. In order to facilitate the interaction between these market players and to ease the trading of electricity, different markets and exchanges have been founded across Europe.
In Switzerland, the process of deregulation has just started and is currently a hot topic of debate. In 2007, new legal standards were established that have been changing the vertically integrated industry towards a more liberalized market environment where electricity is traded between the producer and the supplier. After 2008, large end-customers will be able to choose their electricity provider. In around five years, all customers will be able to choose their power producer (VSE, 2008). This deregulation of the electricity market in Switzerland has a strong impact on the power industry. Increased competition enforces price pressure, so prices for the end-customer are expected to be closely determined in the market of electricity demand and supply. This will ultimately lead to a more volatile and stochastic electricity price development.
Summary of Chapters
1. Introduction: Discusses the transition of the power industry from vertically integrated structures to liberalized markets, highlighting the resulting need for new risk management tools in Switzerland.
2. Electricity Market: Explains the peculiarities of power as a commodity and provides an overview of the Swiss electricity market's structure and regulatory environment.
3. Characteristics of Electricity Prices and Returns: Analyzes the stochastic behavior of Swiss electricity indices through various statistical tests, identifying key properties like spikes and mean reversion.
4. Estimation of the Stochastic Model: Proposes and calibrates a multi-factor jump-diffusion model to accurately capture the dynamics of Swiss electricity prices.
5. Structured Products: Reviews existing financial product categories and discusses their applicability to the electricity market, emphasizing the need for exotic options.
6. Pricing Mechanism and Results: Implements a Monte Carlo simulation to value diverse structured products and evaluates their feasibility and attractiveness for market participants.
7. Conclusion: Summarizes the key findings, confirming that while traditional products are often unsuitable, specifically tailored exotic products can offer effective hedging and attractive investment profiles.
Keywords
Electricity, SWEP, Swissix, Structured Products, Monte Carlo, Jump Diffusion, Derivatives Pricing, Risk Management, Market Liberalization, Stochastic Modeling, Volatility, Mean Reversion, Hedging, Financial Engineering, Power Exchanges.
Frequently Asked Questions
What is the core focus of this thesis?
The work focuses on the valuation of structured financial products specifically designed for the Swiss electricity market, considering its unique stochastic price behavior.
Which key topics are addressed in the study?
The thesis covers market deregulation, the statistical analysis of power prices, stochastic modeling of jumps, pricing of derivatives via Monte Carlo, and the design of risk management tools.
What is the primary research objective?
The primary goal is to provide a practical method for pricing structured electricity products to enable better risk management for consumers and investors in the liberalized Swiss market.
Which scientific methodology is applied?
The author uses a technical approach, specifically a multi-factor jump-diffusion stochastic model, calibrated via Maximum Likelihood Estimation (MLE) and implemented through Monte Carlo simulation.
What is discussed in the main body of the work?
The main body systematically moves from market fundamentals and statistical diagnostics to the development of a stochastic model, the selection of structured products, and the computational valuation of these assets.
How would you characterize this work using keywords?
This work is characterized by terms such as Electricity, Structured Products, Monte Carlo, Jump Diffusion, and Derivatives Pricing.
Why are traditional option pricing models insufficient for electricity?
Traditional models assume properties like storability and constant volatility, whereas electricity is generally non-storable, exhibits frequent price spikes, and has complex mean-reversion characteristics.
How does the author handle price spikes in the stochastic model?
The author incorporates spikes by introducing a jump-diffusion component into the Ornstein-Uhlenbeck process, modeling the frequency, size, and duration of spikes as random variables.
What makes the Swiss electricity market unique?
The Swiss market is heavily driven by hydro power, resulting in specific seasonal patterns, a unique production mix, and observed price growth trends that differ from those in other European markets.
- Citar trabajo
- MSc. Financial Engineering Florian Giger (Autor), 2008, Structured Products on Electricity, Múnich, GRIN Verlag, https://www.grin.com/document/119214
