STOCHASTIC MODELING OF ELECTRICITY AND RELATED MARKETS(ADVANCED SERIES ON STATISTICAL SCIENCE AND APPLIED PROBABILITY)

电力及相关市场的随机模型

国民经济学

原   价:
1350.00
售   价:
1080.00
优惠
平台大促 低至8折优惠
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2008年04月15日
装      帧
精装
ISBN
9789812812308
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页      码
352
语      种
英文
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库存 30 本
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图书简介
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. Key Features • Gives a detailed account of advanced stochastic models for spot, futures and option price dynamics in energy markets • Gives a detailed analysis of electricity and gas futures prices, with an emphasis on market models (also known as LIBOR models)
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