05097nam 22007455 450 991025428510332120200701170530.03-319-63115-210.1007/978-3-319-63115-8(CKB)4100000000881624(DE-He213)978-3-319-63115-8(MiAaPQ)EBC5096998(PPN)220127115(EXLCZ)99410000000088162420171007d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierA Forward-Backward SDEs Approach to Pricing in Carbon Markets /by Jean-François Chassagneux, Hinesh Chotai, Mirabelle Muûls1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (VI, 104 p. 35 illus., 29 illus. in color.) SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,2509-73263-319-63114-4 Includes bibliographical references and index.1 A description of the carbon markets and their role in climate change mitigation -- 2 Introduction to Forward-Backward Stochastic Differential Equations -- 3 A mathematical model for carbon emissions markets -- 4 Numerical approximation of FBSDEs -- 5 A case study of the UK energy market -- References. .In Mathematical Finance, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions Trading System (EU ETS) but could also be used to consider the modeling of other cap-and-trade schemes. As a response to the risk of Climate Change, carbon markets are currently being implemented in regions worldwide and already represent more than $30 billion. However, scientific, and particularly mathematical, studies of these carbon markets are needed in order to expose their advantages and shortcomings, as well as allow their most efficient implementation. This Brief reviews mathematical properties such as the existence and uniqueness of solutions for the pricing problem, stability of solutions and their behavior. These fit into the theory of fully coupled forward-backward stochastic differential equations (FBSDEs) with irregular coefficients. The authors present a numerical algorithm to compute the solution to these non-standard FBSDEs. They also carry out a case study of the UK energy market. This involves estimating the parameters to be used in the model using historical data and then solving a pricing problem using the aforementioned numerical algorithm. The Brief is of interest to researchers in stochastic processes and their applications, and environmental and energy economics. Most sections are also accessible to practitioners in the energy sector and climate change policy-makers.SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,2509-7326ProbabilitiesMathematical modelsEnergy policyEnergy and stateEconomics, Mathematical Statistics Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Energy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Quantitative Financehttps://scigraph.springernature.com/ontologies/product-market-codes/M13062Energy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Statistics for Business, Management, Economics, Finance, Insurancehttps://scigraph.springernature.com/ontologies/product-market-codes/S17010Probabilities.Mathematical models.Energy policy.Energy and state.Economics, Mathematical .Statistics .Probability Theory and Stochastic Processes.Mathematical Modeling and Industrial Mathematics.Energy Policy, Economics and Management.Quantitative Finance.Energy Policy, Economics and Management.Statistics for Business, Management, Economics, Finance, Insurance.519.2Chassagneux Jean-Françoisauthttp://id.loc.gov/vocabulary/relators/aut755920Chotai Hineshauthttp://id.loc.gov/vocabulary/relators/autMuûls Mirabelleauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254285103321A Forward-Backward SDEs Approach to Pricing in Carbon Markets2070246UNINA03794nam 22007455 450 991041607900332120200831151304.03-030-57881-X10.1007/978-3-030-57881-7(CKB)5590000000000699(MiAaPQ)EBC6326312(DE-He213)978-3-030-57881-7(PPN)255740352(EXLCZ)99559000000000069920200831d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence and Security 6th International Conference, ICAIS 2020, Hohhot, China, July 17–20, 2020, Proceedings, Part II /edited by Xingming Sun, Jinwei Wang, Elisa Bertino1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (841 pages)Information Systems and Applications, incl. Internet/Web, and HCI ;122403-030-57880-1 Internet of things -- Information security -- Big data and cloud computing -- Information processing.This two-volume set LNCS 12239-12240 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 142 full papers presented in this two-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: Artificial intelligence and internet of things. Part II: Internet of things, information security, big data and cloud computing, and information processing.Information Systems and Applications, incl. Internet/Web, and HCI ;12240Application softwareComputer securityArtificial intelligenceComputer communication systemsComputersMachine learningComputer Applicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I23001Systems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Computing Milieuxhttps://scigraph.springernature.com/ontologies/product-market-codes/I24008Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Application software.Computer security.Artificial intelligence.Computer communication systems.Computers.Machine learning.Computer Applications.Systems and Data Security.Artificial Intelligence.Computer Communication Networks.Computing Milieux.Machine Learning.006.3004Sun Xingmingedthttp://id.loc.gov/vocabulary/relators/edtWang Jinweiedthttp://id.loc.gov/vocabulary/relators/edtBertino Elisaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910416079003321Artificial intelligence and security1999223UNINA