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These Proceedings offer a selection of peer-reviewed research and survey papers by some of the foremost international researchers in the fields of finance, energy, stochastics and risk, who present their latest findings on topical problems. The papers cover the areas of stochastic modeling in energy and financial markets; risk management with environmental factors from a stochastic control perspective; and valuation and hedging of derivatives in markets dominated by renewables, all of which further develop the theory of stochastic analysis and mathematical finance. The papers were presented at the first conference on “Stochastics of Environmental and Financial Economics (SEFE)”, being part of the activity in the SEFE research group of the Centre of Advanced Study (CAS) at the Academy of Sciences in Oslo, Norway during the 2014/2015 academic year.
Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematics. --- Partial differential equations. --- Game theory. --- System theory. --- Calculus of variations. --- Probabilities. --- Environmental economics. --- Systems Theory, Control. --- Probability Theory and Stochastic Processes. --- Environmental Economics. --- Game Theory, Economics, Social and Behav. Sciences. --- Partial Differential Equations. --- Calculus of Variations and Optimal Control; Optimization. --- Economics --- Environmental quality --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Systems, Theory of --- Systems science --- Science --- Games, Theory of --- Theory of games --- Mathematical models --- Partial differential equations --- Math --- Environmental aspects --- Economic aspects --- Philosophy --- Distribution (Probability theory. --- Differential equations, partial. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Operations research --- Simulation methods --- System analysis --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Systems theory. --- Systems Theory --- Control
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These Proceedings offer a selection of peer-reviewed research and survey papers by some of the foremost international researchers in the fields of finance, energy, stochastics and risk, who present their latest findings on topical problems. The papers cover the areas of stochastic modeling in energy and financial markets; risk management with environmental factors from a stochastic control perspective; and valuation and hedging of derivatives in markets dominated by renewables, all of which further develop the theory of stochastic analysis and mathematical finance. The papers were presented at the first conference on “Stochastics of Environmental and Financial Economics (SEFE)”, being part of the activity in the SEFE research group of the Centre of Advanced Study (CAS) at the Academy of Sciences in Oslo, Norway during the 2014/2015 academic year.
Economics --- Functional analysis --- Partial differential equations --- Numerical methods of optimisation --- Operational research. Game theory --- Probability theory --- Mathematics --- Environmental protection. Environmental technology --- Engineering sciences. Technology --- Recreation. Games. Sports. Corp. expression --- differentiaalvergelijkingen --- analyse (wiskunde) --- waarschijnlijkheidstheorie --- stochastische analyse --- economie --- spellen --- systeemtheorie --- milieuzorg --- speltheorie --- wiskunde --- systeembeheer --- kansrekening --- optimalisatie --- System theory. --- Probabilities. --- Environmental economics. --- Game theory. --- Differential equations, Partial. --- Calculus of variations. --- Systems Theory, Control. --- Probability Theory and Stochastic Processes. --- Environmental Economics. --- Game Theory, Economics, Social and Behav. Sciences. --- Partial Differential Equations. --- Calculus of Variations and Optimal Control; Optimization.
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Kiyosi Ito, the founder of stochastic calculus, is one of the few central figures of the twentieth century mathematics who reshaped the mathematical world. Today stochastic calculus is a central research field with applications in several other mathematical disciplines, for example physics, engineering, biology, economics and finance. The Abel Symposium 2005 was organized as a tribute to the work of Kiyosi Ito on the occasion of his 90th birthday. Distinguished researchers from all over the world were invited to present the newest developments within the exciting and fast growing field of stochastic analysis. The present volume combines both papers from the invited speakers and contributions by the presenting lecturers. A special feature is the Memoirs that Kiyoshi Ito wrote for this occasion. These are valuable pages for both young and established researchers in the field.
Stochastic analysis --- Mathematical analysis. --- 517.1 Mathematical analysis --- Mathematical analysis --- Distribution (Probability theory. --- Mathematics. --- Global analysis (Mathematics). --- Mathematical statistics. --- Finance. --- Probability Theory and Stochastic Processes. --- Applications of Mathematics. --- Real Functions. --- Analysis. --- Statistical Theory and Methods. --- Quantitative Finance. --- Funding --- Funds --- Economics --- Currency question --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Math --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistical methods --- Probabilities. --- Applied mathematics. --- Engineering mathematics. --- Functions of real variables. --- Analysis (Mathematics). --- Statistics . --- Economics, Mathematical . --- Real variables --- Engineering --- Engineering analysis --- Probability --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Mathematical economics --- Econometrics --- Statistical analysis --- Statistical data --- Statistical science --- Methodology --- Itō, Kiyosi, --- Itō, K. --- Ito, Kiesi, --- Itō, Kiyoshi, --- 伊藤淸, --- 伊藤清,
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This monograph presents a theory for random field models in time and space, viewed as stochastic processes with values in a Hilbert space, to model the stochastic dynamics of forward and futures prices in energy, power, and commodity markets. In this book, the well-known Heath–Jarrow–Morton approach from interest rate theory is adopted and extended into an infinite-dimensional framework, allowing for flexible modeling of price stochasticity across time and along the term structure curve. Various models are introduced based on stochastic partial differential equations with infinite-dimensional Lévy processes as noise drivers, emphasizing random fields described by low-dimensional parametric covariance functions instead of classical high-dimensional factor models. The Filipović space, a separable Hilbert space of Sobolev type, is found to be a convenient state space for the dynamics of forward and futures term structures. The monograph provides a classification of important operators in this space, covering covariance operators and the stochastic modeling of volatility term structures, including the Samuelson effect. Fourier methods are employed to price many derivatives of interest in energy, power, and commodity markets, and sensitivity 'delta' expressions can be derived. Additionally, the monograph covers forward curve smoothing, the connection between forwards with fixed delivery and delivery period, as well as the classical theory of forward and futures pricing. This monograph will appeal to researchers and graduate students interested in mathematical finance and stochastic analysis applied in the challenging markets of energy, power, and commodities. Practitioners seeking sophisticated yet flexible and analytically tractable risk models will also find it valuable.
Stochastic processes. --- Statistics. --- Financial risk management. --- Functional analysis. --- Renewable energy sources. --- Stochastic Processes. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Risk Management. --- Functional Analysis. --- Renewable Energy. --- Gestió del risc --- Anàlisi funcional --- Processos estocàstics --- Energies renovables
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Weather derivatives provide a tool for weather risk management, and the markets for these exotic financial products are gradually emerging in size and importance. This unique monograph presents a unified approach to the modeling and analysis of such weather derivatives, including financial contracts on temperature, wind and rain. Based on a deep statistical analysis of weather factors, sophisticated stochastic processes are introduced modeling the time and space dynamics. Applying ideas from the modern theory of mathematical finance, weather derivatives are priced, and questions of hedging analyzed. The treatise contains an in-depth analysis of typical weather contracts traded at the Chicago Mercantile Exchange (CME), including so-called CDD and HDD futures. The statistical analysis of weather variables is based on a large data set from Lithuania.The monograph includes the research done by the authors over the last decade on weather markets. Their work has gained considerable attention, and has been applied in many contexts.
Stocks --- Weather derivatives. --- Prices. --- Stock prices --- Derivative securities --- Stockholder wealth --- Weather derivatives --- Prices --- E-books --- Actions (Titres de société) --- Prix
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Power markets are undergoing a major transformation from gas and oil-fueled generation toward renewable electricity production from wind and solar sources. Simultaneously, there is an increasing demand for electrification, coupled with long-term climate-induced weather changes. The uncertainties confronting energy market participants require sophisticated modelling techniques to effectively understand risk, many of which are covered in this book. Comprising invited papers by high-profile researchers, this volume examines the empirical aspects of forward and futures prices, uncovering patterns of noise factors in various European electricity markets. Additionally, it delves into the recent, influential classes of Hawkes and trawl processes, emphasizing their significance in energy markets. The impact of renewables on energy market prices is a pivotal concern for both producers and consumers. Mean-field games provide a powerful mathematical framework for this, and a dedicated chapter outlining their dynamics is included in the book. The book also explores structural financial products and their connection to climate risk as a risk management tool, underscoring the essential need for a comprehensive understanding of these products in the realm of "green finance," to which the energy industry is integral. Lastly, the book thoroughly analyzes spatial smoothing and power purchase (PPA) contracts, addressing central issues in energy system planning and financial operations. Tailored for researchers, PhD students, and industry energy analysts, this volume equips readers with insights and tools to navigate the constantly evolving energy market landscape. It serves as a sequel to the earlier Quantitative Energy Finance book, featuring all-new chapters.
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Power markets are undergoing a major transformation from gas and oil-fueled generation toward renewable electricity production from wind and solar sources. Simultaneously, there is an increasing demand for electrification, coupled with long-term climate-induced weather changes. The uncertainties confronting energy market participants require sophisticated modelling techniques to effectively understand risk, many of which are covered in this book. Comprising invited papers by high-profile researchers, this volume examines the empirical aspects of forward and futures prices, uncovering patterns of noise factors in various European electricity markets. Additionally, it delves into the recent, influential classes of Hawkes and trawl processes, emphasizing their significance in energy markets. The impact of renewables on energy market prices is a pivotal concern for both producers and consumers. Mean-field games provide a powerful mathematical framework for this, and a dedicated chapter outlining their dynamics is included in the book. The book also explores structural financial products and their connection to climate risk as a risk management tool, underscoring the essential need for a comprehensive understanding of these products in the realm of "green finance," to which the energy industry is integral. Lastly, the book thoroughly analyzes spatial smoothing and power purchase (PPA) contracts, addressing central issues in energy system planning and financial operations. Tailored for researchers, PhD students, and industry energy analysts, this volume equips readers with insights and tools to navigate the constantly evolving energy market landscape. It serves as a sequel to the earlier Quantitative Energy Finance book, featuring all-new chapters.
Social sciences (general) --- Statistical science --- Relation between energy and economics --- sociale wetenschappen --- statistiek --- natuurlijke energiebronnen --- Social sciences --- Power resources. --- Statistics. --- Mathematics in Business, Economics and Finance. --- Natural Resource and Energy Economics. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Indústries energètiques --- Finances --- Inversions --- Mathematics. --- Finances.
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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
Electric utilities --- Energy industries --- Stochastic models --- Mathematical models --- Electric utilities -- Mathematical models. --- Energy industries -- Mathematical models. --- Stochastic models. --- Electric Utilities --- Business & Economics --- Industries --- Mathematical models. --- Modèles stochastiques --- Modèles stochastiques --- Electric companies --- Electric light and power industry --- Electric power industry --- Models, Stochastic --- Power resources --- Electric industries --- Public utilities --- E-books --- Electric utilities - Mathematical models --- Energy industries - Mathematical models
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Finance and energy markets have been an active scientific field for some time, even though the development and applications of sophisticated quantitative methods in these areas are relatively new—and referred to in a broader context as energy finance. Energy finance is often viewed as a branch of mathematical finance, yet this area continues to provide a rich source of issues that are fuelling new and exciting research developments. Based on a special thematic year at the Wolfgang Pauli Institute (WPI) in Vienna, Austria, this edited collection features cutting-edge research from leading scientists in the fields of energy and commodity finance. Topics discussed include modeling and analysis of energy and commodity markets, derivatives hedging and pricing, and optimal investment strategies and modeling of emerging markets, such as power and emissions. The book also confronts the challenges one faces in energy markets from a quantitative point of view, as well as the recent advances in solving these problems using advanced mathematical, statistical and numerical methods. By addressing the emerging area of quantitative energy finance, this volume will serve as a valuable resource for graduate-level students and researchers studying financial mathematics, risk management, or energy finance.
Electric utilities --- Electric companies --- Electric light and power industry --- Electric power industry --- Rates --- Mathematical models. --- Risk management -- Mathematical models. --- Finance. --- Energy policy. --- Energy and state. --- Economics, Mathematical. --- Statistics. --- Finance, general. --- Quantitative Finance. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Energy Policy, Economics and Management. --- Electric industries --- Energy industries --- Public utilities --- Statistics for Business, Management, Economics, Finance, Insurance. --- Funding --- Funds --- Economics --- Currency question --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Economics, Mathematical . --- Statistics . --- Mathematical economics --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Methodology --- Government policy
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Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This monograph, the first on the subject, provides a reference for this burgeoning field, complete with the applications that have driven its development. Unique to Ambit Stochastics are ambit sets, which allow the delimitation of space-time to a zone of interest, and ambit fields, which are particularly well-adapted to modelling stochastic volatility or intermittency. These attributes lend themselves notably to applications in the statistical theory of turbulence and financial econometrics. In addition to the theory and applications of Ambit Stochastics, the book also contains new theory on the simulation of ambit fields and a comprehensive stochastic integration theory for Volterra processes in a non-semimartingale context. Written by pioneers in the subject, this book will appeal to researchers and graduate students interested in empirical stochastic modelling.
Probabilities. --- Mathematical physics. --- Economics, Mathematical . --- Statistics . --- Probability Theory and Stochastic Processes. --- Mathematical Applications in the Physical Sciences. --- Quantitative Finance. --- Mathematical Physics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Economics --- Mathematical economics --- Physical mathematics --- Physics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Methodology --- Social sciences --- Statistics. --- Probability Theory. --- Mathematics in Business, Economics and Finance. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Mathematics.
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