Modelling the Hedging Decisions of a Generator with Market Power

نویسندگان

  • Darryl Biggar
  • Mohammad Hesamzadeh
چکیده

The incentive on an electricity generating firm to exercise market power depends strongly on the volume the firm has pre-sold in the forward or hedge markets. Therefore, in order to forecast the effect of mergers and other market developments on market power outcomes, it is essential to model the hedging decisions of dominant generating firms. This paper shows that a dominant firm’s profit-maximizing choice of hedge level depends on the extent to which the hedge price varies with the firm’s hedging decision. In the case in which the hedge price is independent of the firm’s hedge level, the optimal choice of hedging is an “all or nothing” decision. In this case, there is no equilibrium level of hedging in pure strategies. This outcome may explain the observed lack of hedge market liquidity in wholesale electricity markets with substantial market power. We also model the equilibrium hedging outcome in a two-stage Cournot oligopoly and show that, even if the hedge price is independent of the hedging decisions of the firms, a rational expectations equilibrium can exist with high levels of hedging if there are enough firms in the market.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Risk Management in Oil Market: A Comparison between Multivariate GARCH Models and Copula-based Models

H igh price volatility and the risk are the main features of commodity markets. One way to reduce this risk is to apply the hedging policy by future contracts. In this regard, in this paper, we will calculate the optimal hedging ratios for OPEC oil. In this study, besides the multivariate GARCH models, for the first time we use conditional copula models for modelling dependence struc...

متن کامل

Biding Strategy in Restructured Environment of Power Market Using Game Theory

In the restructured environment of electricity market, firstly the generating companies and the customers are looking for maximizing their profit and secondly independent system operator is looking for the stability of the power network and maximizing social welfare. In this paper, a one way auction in the electricity market for the generator companies is considered in both perfect and imperfec...

متن کامل

Optimal Modelling for Decision Making of Electricity Retailer in Power Market Contracts by Considering Demand Side Management Programs

The growth and expansion of economic concepts in the power system is increasing in last years. Energy economists have considered the optimal decision-making of electricity market retailers in recent years. In this paper, a demand response program based model is pro-posed in order to make the optimal decision of the retailer in the electricity market, taking into account the different conditions...

متن کامل

Hedging of Options in Jump-Diffusion Markets with Correlated Assets

We consider the hedging problem in a jump-diffusion market with correlated assets. For this purpose, we employ the locally risk-minimizing approach and obtain the hedging portfolio as a solution of a multidimensional system of linear equations. ‎This system shows that in a continuous market, independence and correlation assumptions of assets lead to the same locally risk-minimizing portfolio. ‎...

متن کامل

A model for hedging load and price risk in the Texas electricity market

Energy companies with commitments to meet customers’ daily electricity demands face the problem of hedging load and price risk. We propose a joint model for load and price dynamics, which is motivated by the goal of facilitating optimal hedging decisions, while also intuitively capturing the key features of the electricity market. Driven by three stochastic factors including the load process, o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011