Author: Helen Higgs
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 189
Book Description
Price and Volatility Relationships in the Australian Electricity Market
Author: Helen Higgs
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 189
Book Description
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 189
Book Description
Stochastic Modelling of Volatility and Inter-relationships in the Australian Electricity Markets
Author: Joanna (Jia Jia) Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
Book Description
To model the price and price volatilities of the Australian wholesale spot electricity markets, the univariate generalised autoregressive conditional heteroskedasticity (GARCH) models have been applied and the inter-relationships in these markets are modelled using multivariate GARCH models. Stochastic volatility (SV) models, as flexible alternatives to GARCH models, have demonstrated their superiority in many financial applications. However, the use of SV models in the modelling of electricity markets is still quite limited. This paper investigates existing multivariate SV models and proposes new SV models with skew error distributions, to model the price and price volatilities of three pairs of markets, selected from four regional electricity markets in Australia, which are shown to be highly correlated in a previous study (Higgs, 2009). Bayesian approach using Markov chain Monte Carlo (MCMC) method is adopted and model implementation is done using the software OpenBUGS. Empirical results show that the price and volatilities of selected markets are strongly correlated across different pairs of regional markets. Based on Deviance Information Criterion, the models with skew error distributions perform better than those with symmetric distribution.
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
Book Description
To model the price and price volatilities of the Australian wholesale spot electricity markets, the univariate generalised autoregressive conditional heteroskedasticity (GARCH) models have been applied and the inter-relationships in these markets are modelled using multivariate GARCH models. Stochastic volatility (SV) models, as flexible alternatives to GARCH models, have demonstrated their superiority in many financial applications. However, the use of SV models in the modelling of electricity markets is still quite limited. This paper investigates existing multivariate SV models and proposes new SV models with skew error distributions, to model the price and price volatilities of three pairs of markets, selected from four regional electricity markets in Australia, which are shown to be highly correlated in a previous study (Higgs, 2009). Bayesian approach using Markov chain Monte Carlo (MCMC) method is adopted and model implementation is done using the software OpenBUGS. Empirical results show that the price and volatilities of selected markets are strongly correlated across different pairs of regional markets. Based on Deviance Information Criterion, the models with skew error distributions perform better than those with symmetric distribution.
Risk Premiums in Interconnected Australian Electricity Futures Markets
Author: Rangga Handika
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
Book Description
We provide an empirical analysis of the relationship between spot and futures prices in interconnected regional Australian electricity markets. Examining ex-post risk premiums in futures markets, we find positive and significant risk premiums for several of the considered regions. Therefore, electricity futures prices cannot be considered as an unbiased estimator of the average realized spot price during the delivery period. Market participants are willing to pay a significant additional compensation to get rid of the exposure to price shocks and spikes in the spot market. We further demonstrate seasonal effects in the observed premiums as well as strong and positive correlations between the observed risk premiums across the considered markets. Overall, the observed premiums indicate risk aversion of market participants, in the Queensland and Victoria electricity market. We also relate realized premiums to variables such as spot price levels, volatility, skewness and kurtosis prior to the delivery period. Due to the high correlation of the observed premiums across the regions, we apply a seemingly unrelated regression (SUR) approach. We find that in particular spot price levels, but also skewness and kurtosis of spot prices contribute significantly to the explanation of realized risk premiums.
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
Book Description
We provide an empirical analysis of the relationship between spot and futures prices in interconnected regional Australian electricity markets. Examining ex-post risk premiums in futures markets, we find positive and significant risk premiums for several of the considered regions. Therefore, electricity futures prices cannot be considered as an unbiased estimator of the average realized spot price during the delivery period. Market participants are willing to pay a significant additional compensation to get rid of the exposure to price shocks and spikes in the spot market. We further demonstrate seasonal effects in the observed premiums as well as strong and positive correlations between the observed risk premiums across the considered markets. Overall, the observed premiums indicate risk aversion of market participants, in the Queensland and Victoria electricity market. We also relate realized premiums to variables such as spot price levels, volatility, skewness and kurtosis prior to the delivery period. Due to the high correlation of the observed premiums across the regions, we apply a seemingly unrelated regression (SUR) approach. We find that in particular spot price levels, but also skewness and kurtosis of spot prices contribute significantly to the explanation of realized risk premiums.
Price and Volatility Spillovers in Australian Electricity Markets
Author: Lin Han
Publisher:
ISBN:
Category : Electricity
Languages : en
Pages : 124
Book Description
Electricity markets are significantly more volatile than other comparable financial or commodity markets. Extreme price outcomes, typically referred to as price spikes, as well as periods of substantial price volatility and their transmission between interconnected regional markets pose significant risks for market participants.
Publisher:
ISBN:
Category : Electricity
Languages : en
Pages : 124
Book Description
Electricity markets are significantly more volatile than other comparable financial or commodity markets. Extreme price outcomes, typically referred to as price spikes, as well as periods of substantial price volatility and their transmission between interconnected regional markets pose significant risks for market participants.
The Relationship Between Energy Spot and Futures Prices
Author: Andrew Worthington
Publisher:
ISBN:
Category : Electric generator industry
Languages : en
Pages : 17
Book Description
Publisher:
ISBN:
Category : Electric generator industry
Languages : en
Pages : 17
Book Description
Transmission of Prices and Price Volatility in Australian Electricity Spot Markets
Author: Andrew Worthington
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 18
Book Description
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 18
Book Description
Electricity Spot Price and Volatility Modelling in the Australian National Electricity Market
Author: Xuebing Lu
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 450
Book Description
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 450
Book Description
Stochastic Modelling of Electricity and Related Markets
Author: Fred Espen Benth
Publisher: World Scientific
ISBN: 981281230X
Category : Business & Economics
Languages : en
Pages : 352
Book Description
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
Publisher: World Scientific
ISBN: 981281230X
Category : Business & Economics
Languages : en
Pages : 352
Book Description
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
A Multivariate GARCH Analysis of the Domestic Transmission of Energy Commodity Prices and Volatility
Author: Andrew Worthington
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 17
Book Description
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 17
Book Description
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Author: Marco Corazza
Publisher: Springer
ISBN: 3319898248
Category : Business & Economics
Languages : en
Pages : 465
Book Description
The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems. This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.
Publisher: Springer
ISBN: 3319898248
Category : Business & Economics
Languages : en
Pages : 465
Book Description
The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems. This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.