Emmanuel Haven | |
---|---|
Occupation(s) | Academic, author and researcher |
Academic background | |
Education | B.A., Economics M.A., Economics Ph.D., Finance |
Alma mater | McGill University Concordia University |
Academic work | |
Institutions | Memorial University University of Leicester (UK) University of Essex (UK) |
Emmanuel Haven is an academic,author and researcher. He previously held a personal Chair at the University of Leicester (UK) and is currently full professor and the Dr. Alex Faseruk Chair in Financial Management at the Faculty of Business Administration,Memorial University. [1]
Haven focuses his research on interdisciplinary fields with particular attention to apply formalisms from other disciplines (like physics) to areas such as economics,psychology,biology and finance. [2] He is also the co-author of several books notably Quantum Social Science (Cambridge University Press),joint with Andrei Khrennikov and Quantum methods in social science:a first course (World Scientific),joint with Andrei Khrennikov and Terry Robinson. He has co-edited several books such as Foundations of Probability and Physics –6 (American Institute of Physics),The Handbook of Post Crisis Financial Modelling,The Palgrave Handbook of Quantum Models in Social Science (both at (Palgrave-Macmillan-Springer Nature)).
Haven is a member of the Council of the International Quantum Structures Association (IQSA), [3] an Co-Editor for Economics:The Open-Access,Open-Assessment Journal (De Gruyter). [4]
Haven received his Bachelor’s and Master’s degree in Economics from McGill University,where he was the recipient of the James McGill Award. He then enrolled at Concordia University and earned a Doctoral degree in Finance. [1]
Haven started his career in 2000 as an Assistant Professor of Finance at the University of Essex,and was promoted to Associate Professor in 2003. In 2007,he joined the University of Leicester as an Associate Professor of Finance,and became a Full Professor with a personal Chair in 2008. He held his next appointment in 2017 as a Full Professor and Alex Faseruk Chair in Financial Management at the Faculty of Business Administration,Memorial University. [1]
Haven is a member of the board of the International Center for Mathematical Modelling (ICMM) at Linnaeus University (Sweden), [5] and a co-founder and Secretary of IQSCS (Centre for Quantum Social and Cognitive Science) at the University of Leicester (UK). [6]
Haven’s research focuses on concepts regarding Physics,Finance and Economics. He has also co-edited several special issues notably in Journal of Mathematical Economics ; [7] International Journal of Theoretical Physics ; [8] Frontiers in Physics ; Frontiers in Psychology and Quantum Reports. He has also co-edited special issues in Journal of Mathematical Psychology ; [9] and Philosophical Transactions of the Royal Society A . [10] He was co-organizer (jointly with Andrei Khrennikov;Jerome Busemeyer;Arkady Plotnitsky;Ehti Dzhafarov and Emmanuel Pothos) of the conference Quantum probability and the mathematical modelling of decision making at the Field’s Institute (University of Toronto) and other conferences.
Haven has worked on the usage of quantum mechanical concepts in the context of social science. [11] He studied the implications of a wave function in the formulation of the (finite state space) financial non-arbitrage theorem. In his study regarding quantum formalism in social sciences,he demonstrated how elements of the formalism of quantum mechanics can be helpful in solving and re-interpreting social science problems,and suggested several applications of pilot-wave theory in terms of financial economics and of Expected utility theory (EUT) in terms of economic modeling. [12]
In other research,Haven has explored the power of the wavelet method in the de-noising of option pricing data,while using Monte Carlo simulations. [13] [14]
Finance is the study and discipline of money, currency and capital assets. It is related to, but not synonymous with economics, which is the study of production, distribution, and consumption of goods and services; the discipline of financial economics bridges the two. Financial activities take place in financial systems at various scopes; thus, the field can be roughly divided into personal, corporate, and public finance.
In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic entities. It does not assume or postulate any natural laws, but explains the macroscopic behavior of nature from the behavior of such ensembles.
Behavioral economics is the study of the psychological, cognitive, emotional, cultural and social factors involved in the decisions of individuals or institutions, and how these decisions deviate from those implied by classical economic theory.
The following outline is provided as an overview of and topical guide to academic disciplines:
Stochastic refers to the property of being well-described by a random probability distribution. Although stochasticity and randomness are distinct in that the former refers to a modeling approach and the latter refers to phenomena themselves, these two terms are often used synonymously. Furthermore, in probability theory, the formal concept of a stochastic process is also referred to as a random process.
Econophysics is a non-orthodox interdisciplinary research field, applying theories and methods originally developed by physicists in order to solve problems in economics, usually those including uncertainty or stochastic processes and nonlinear dynamics. Some of its application to the study of financial markets has also been termed statistical finance referring to its roots in statistical physics. Econophysics is closely related to social physics.
Economic methodology is the study of methods, especially the scientific method, in relation to economics, including principles underlying economic reasoning. In contemporary English, 'methodology' may reference theoretical or systematic aspects of a method. Philosophy and economics also takes up methodology at the intersection of the two subjects.
Debashis Mukherjee is a theoretical chemist, well known for his research in the fields of molecular many body theory, theoretical spectroscopy, finite temperature non-perturbative many body theories. Mukherjee has been the first to develop and implement a class of many-body methods for electronic structure which are now standard works in the field. These methods, collectively called multireference coupled cluster formalisms, are versatile and powerful methods for predicting with quantitative accuracy the energetics and cross-sections of a vast range of molecular excitations and ionization. A long-standing problem of guaranteeing proper scaling of energy for many electron wave-functions of arbitrary complexity has also been first resolved by him. He has also been the first to develop a rigorously size-extensive state-specific multi-reference coupled cluster formalism, and its perturbative counterpart which is getting increasingly recognized as a very promising methodological advance.
Applied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, and industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the professional specialty in which mathematicians work on practical problems by formulating and studying mathematical models.
Jean-Philippe Bouchaud is a French physicist. He is co-founder and chairman of Capital Fund Management (CFM), adjunct professor at École Normale Supérieure and co-director of the CFM-Imperial Institute of Quantitative Finance at Imperial College London. He is a member of the French Academy of Sciences, and held the Bettencourt Innovation Chair at Collège de France in 2020.
Sergio Albeverio is a Swiss mathematician and mathematical physicist working in numerous fields of mathematics and its applications. In particular he is known for his work in probability theory, analysis, mathematical physics, and in the areas algebra, geometry, number theory, as well as in applications, from natural to social-economic sciences.
Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, language, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception. The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum-mechanical about the brain. Quantum cognition is based on the quantum-like paradigm or generalized quantum paradigm or quantum structure paradigm that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.
Quantum finance is an interdisciplinary research field, applying theories and methods developed by quantum physicists and economists in order to solve problems in finance. It is a branch of econophysics.
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets.
Quantum economics is an emerging research field which applies mathematical methods and ideas from quantum physics to the field of economics. It is motivated by the belief that economic processes such as financial transactions have much in common with quantum processes, and can be appropriately modeled using the quantum formalism. It draws on techniques from the related areas of quantum finance and quantum cognition, and is a sub-field of quantum social science.
Quantum social science is an emerging field of interdisciplinary research which draws parallels between quantum physics and the social sciences. Although there is no settled consensus on a single approach, a unifying theme is that, while the social sciences have long modelled themselves on mechanistic science, they can learn much from quantum ideas such as complementarity and entanglement. Some authors are motivated by quantum mind theories that the brain, and therefore human interactions, are literally based on quantum processes, while others are more interested in taking advantage of the quantum toolkit to simulate social behaviours which elude classical treatment. Quantum ideas have been particularly influential in psychology but are starting to affect other areas such as international relations and diplomacy in what one 2018 paper called a "quantum turn in the social sciences".
Andrei Khrennikov is a Russian mathematical physicist. He is a Professor of Mathematics at the Linnaeus University in Växjö, Sweden. At Linnaeus University, he is the director of International Center for Mathematical Modeling and organizer of a conference series dedicated to foundations of quantum mechanics.