LITMIR.BIZ

Аннотация

Modeling the dynamics of energy markets has become a challenging task. The intensification of their financialization since 2004 had made them more complex but also more integrated with other tradable asset classes. More importantly, their large and frequent fluctuations in terms of both prices and volatility, particularly in the aftermath of the global financial crisis 2008-2009, posit difficulties for modeling and forecasting energy price behavior and are primary sources of concerns for macroeconomic stability and general economic performance.This handbook aims to advance the debate on the theories and practices of quantitative energy finance while shedding light on innovative results and technical methods applied to energy markets. Its primary focus is on the recent development and applications of mathematical and quantitative approaches for a better understanding of the stochastic processes that drive energy market movements. The handbook is designed for not only graduate students and researchers but also practitioners and policymakers.<b>Contents:</b> <ul><li><b><i>Modeling and Forcasting Approaches:</i></b><ul><li>Evolution of Forecasting Techniques for Dynamic Energy Markets <i>(Julie Carey and Derya Eryilmaz)</i></li><li>Econometric Modeling of the World Oil Market as a Dynamic Game <i>(Khaled H Kheiravar and C-Y Cynthia Lin Lawell)</i></li><li>Forecasting the Return Volatility of Energy Prices: A GARCH-MIDAS Approach <i>(Afees A Salisu and Raymond Swaray)</i></li><li>Bayesian Approach to Energy Load Forecast with Neural Networks <i>(Luca Di Persio and Oleksandr Honchar)</i></li><li>Electricity Market Coupling in Europe: Status Quo and Future Challenges <i>(Roland F&#x00FC;ss, Steffen Mahringer and Marcel Prokopczuk)</i></li><li>Spatial Econometrics in Electricity Markets Research <i>(Rita De Siano and Alessandro Sapio)</i></li><li>An Investigation into Dynamics, Elasticity and Asymmetry for Residential Natural Gas Markets <i>(Kelly Burns and Tom Houghton)</i></li></ul></li><li><b><i>Volatility and Jump Modeling:</i></b><ul><li>Applied Models of Heavy Tails and Skewness in Energy Prices with an Application to Electricity Price Risk <i>(W D Walls and Wei Zhang)</i></li><li>Jumps in Energy Commodity Markets <i>(Neil A Wilmot and Charles F Mason)</i></li><li>What is the Probability of an Electricity Price Spike? Evidence from the UK Power Market <i>(Pawe&#x0142; Maryniak and Rafal Weron)</i></li><li>Stochastic Modeling and Pricing of Energy Markets' Contracts with Local Stochastic Delayed and Jumped Volatilities <i>(Anatoliy Swishchuk)</i></li><li>Volatility Spillover Effects in the Oil and Financial Market: Cross-Hedging in the US Oil Market and the Energy Pipeline Sector <i>(Jingze Jiang and Thomas L Marsh)</i></li><li>Analysis of NCG Prices Under Different Shapes of Oil Price Recovery with a Worldwide Gas Market Model <i>(Maik G&#x00FC;nther and Mostafa Fallahnejad)</i></li></ul></li><li><b><i>Regulation, Risk Management and Network System:</i></b><ul><li>Energy Risk Management in Practice <i>(Wieger Johan Hinderks, Andreas Wagner and Prilly Oktoviany)</i></li><li>Optimal Design of Energy Distribution Network using Power Flow Controller <i>(Takayuki Shiina)</i></li><li>The Troubled Path Towards Greater Transparency as a Means to Foster Good Corporate Governance and Fight Against Corruption in the Energy Sector<i>(Costantino Grasso)</i></li><li>The Hidden Role of Civil Liability in the Electronuclear Industry: Accident Costs, Insurance and Industrial Organization <i>(G&#x00E9;rard Mondello)</i></li><li>Estimation of the Hotelling Rule for Oil under Stochastic Investment Opportunities <i>(Johnson Kakeu and Mohammed Bouaddi)</i></li></ul></li><li><b><i>Environmental, Green and Renewable Energy:</i></b><ul><li>Financing the Reduction of Greenhouse Gas Emissions: A New Allocation System for Dependent Risks <i>(Lorena Remuzgo, Carmen Trueba and Jos&#x00E9; Mar&#x00ED;a Sarabia)</i></li><li>Efficiency of Source Differentiated Sectoral Energy Demand Accounting for Climate <i>(Saleem Shaik)</i></li><li>Impact of the Global Financial Crisis 2007 on Project Finance in the Renewable Energy Sector <i>(Iris Pfarl and Christian Bellak)</i></li><li>Environmental Concerns and the Cost of Equity in the US Energy Sector <i>(Marcelo Bianconi and Xue Wang)</i></li></ul></li><li><b><i>Pricing and Hedging:</i></b><ul><li>German Natural Gas Seasonal Effects on Futures Hedging <i>(Beatriz Martinez, Hip&#x00F2;lit Torr&#x00F3; and Vanesa Garcia)</i></li><li>An Alternative Valuation of Energy Options for Atypical Markets <i>(David G Carmichael and Maria C A Balatbat)</i></li><li>Non-Financial Firms Hedging Risks in East Asia: The Link Between Financial Derivatives Use, Firm Value and Exposures to Country Risks <i>(Trang Kim and Quang Nguyen)</i></li><li>Risk Management and Hedging Approaches in Energy Markets <i>(Jim Hanly)</i></li></ul></li><li><b><i>Cross-Market Linkages:</i></b><ul><li>Modeling the Dynamics of Implied Carbon Price and Its Influence on the Stock Price Variability of Energy Companies in the Australian Electric Utility Sector <i>(Liangxu Zhu and Tiho Ancev)</i></li><li>Cointegrating Relationship and Granger Causal Analysis in Energy Economics &#x2014; A Practical Guidance <i>(Zheng Fang and Thai-Ha Le)</i></li><li>The Impact of Unconventional Monetary Policy Shocks on Energy Prices<i>(Panagiota Makrychoriti, Georgios Moratis and Spyros Spyrou)</i></li><li>Chaos vs Stochastic Paradigm in Energy Markets <i>(Loretta Mastroeni and Pierluigi Vellucci)</i></li></ul></li></ul><br><b>Readership:</b> Graduate students, researchers, practitioners and policymakers in the field of energy finance. Energy Finance;Financial and Economic Modeling;Volatility;Forecasting;Quantitative Finance;Energy Markets0<b>Key Features:</b><ul><li>Offers a state of art on the application of innovative mathematical and statistical approaches to energy markets modeling, forecasting and hedging</li><li>Provides new theoretical and empirical results regarding the behavior of energy markets over the recent years</li><li>Brings insight into energy risk management and modeling under the context of increasing economic and financial uncertainty</li></ul>