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Quantum Economics and Finance

Quantum Economics and Finance

eISSN: 29767040 | ISSN: 29767032 | Current volume: 1 | Current issue: 1 Frequency: Bi-annually

Sage is proud to publish Quantum Economics and Finance (QEF) in collaboration with the Centre for Quantum Social and Cognitive Science (CQSCS). QEF is a single-blind peer-reviewed journal and aims to become the premier research forum for presenting and debating results from the interface between quantum methods and economics. The journal will cover a variety of areas of interest such as

  • quantum computational/algorithmic aspects in finance
  • applications of the quantum formalism to derivative pricing and financial economics
  • economic decision making

The journal will publish original research from both academia and practice. Work drawing on other branches of quantum social science, such as quantum cognition or quantum game theory, will be welcome, as will papers reporting on how techniques from quantum computing are changing the way we think about and model the financial system.

Quantum Economics and Finance is the first journal dedicated to the application of ideas from quantum probability to modelling the financial system. The focus is on quantum-native models which treat the economy as a quantum system in its own right, with its own version of quantum properties such as uncertainty, superposition, interference, and entanglement.

QEF is targeted at scholars and practitioners who are working with or wish to explore quantum approaches to economics and finance. Typical papers published recently in this field include ones discussing models of economic decision-making which account for interference between opposing concepts or beliefs; models of group dynamics or interaction which include the effect of entanglement between agents; models of stock markets which treat price as the measurement of a complex wave function; or models which use quantum probability to price financial options.

The main aim of the journal is not to explore quantum properties for their own sake, or attempt to link the economy with the subatomic world, but to present techniques which out-perform existing approaches at both explaining and predicting a range of economic phenomena. QEF will feature theoretical research, analysis of empirical results, and papers aimed at bringing quantum ideas into practice. The scope includes economic applications from related areas such as quantum cognition, quantum decision theory, quantum game theory, and quantum artificial intelligence. The journal will also welcome studies that involve other generalized versions of probability.

Article types will range from research articles and review papers to opinion pieces and commentaries. Book reviews will typically be solicited by the editors. The journal will also feature special issues on particular themes, and selected refereed conference proceedings. The emphasis throughout will be on providing actionable research that helps drive the adoption of quantum mathematics and quantum computing in economics and finance.

The field is interdisciplinary in nature, and the audience includes researchers and practitioners working in disciplines such as quantitative finance, quantum computing, decision theory, and economics. Papers should therefore be aimed at readers with a general science background, rather than specialists in particular fields.

David Orrell Systems Forecasting, Canada
Emmanuel Haven Memorial University, Faculty of Business Administration, Canada
Managing Editor
Raymond Hawkins University of Arizona, Wyant College of Optical Sciences, USA
Advisory Board
Itzhak Gilboa H.E.C Paris, Department of Economics and Decision Making, France
Peter Hammond University of Warwick & Stanford University, Department of Economics, UK & USA
Massimo Marinacci Bocconi University, Decision Sciences, Italy
Asghar Qadir Government College University, Abdus Salam School of Mathematical Sciences, Pakistan
Paul Wilmott CQF Institute, UK
Editorial Board - Quantum Computational/Algorithmic Aspects
Peter Bruza Queensland University of Technology, School of Information Systems, Australia
Esperanza Cuenca-Gomez Multiverse Computing, Spain
Trung Duong Memorial University, Faculty of Engineering and Applied Science, Canada
Noelle Ibrahim IBM, Toronto, Canada
Antoine Jacquier Imperial College, Department of Mathematics, UK
Catarina Pinto Moreira National Science Agency, CSIRO - Data61 Unit, Australia
Dominic Widdows IonQ, USA
Editorial Board - Quantum Formalism in Financial Derivative Pricing/Other Areas
Belal Baaquie Helixtap Technologies, Singapore
Mauricio Contreras G. UMCE, Department of Physics, Chile
Boualem Djehiche Royal Institute of Technology, Department of Mathematics, Sweden
Sergio Focardi Economics and Complexity, Italy
Matheus Grasselli McMaster University, Department of Mathematics, Canada
Antoine Jacquier Imperial College, Department of Mathematics, UK
Polina Khrennikova Universiteit Twente, Faculty of Behavioural, Management and Social Sciences, Financial Engineering, The Netherlands
Editorial Board - Quantum Formalism in Economics/Other Areas
Diederik Aerts Vrije Universiteit Brussel, Center Leo Apostel for Transdisciplinary Research, Belgium
Fabio Bagarello University of Palermo, Department of Engineering, Italy
Jerome Busemeyer Indiana University Bloomington, Psychological and Brain Sciences, USA
Graciela Chichilnisky Columbia University & Stanford University, Department of Economics and SIEPR, USA
Acacio de Barros San Francisco State University, Liberal Studies Program, USA
Sergio Focardi Economics and Complexity, Italy
Matheus Grasselli McMaster University, Department of Mathematics, Canada
Andrei Khrennikov Linnaeus University, Department of Mathematics, Sweden
Arkady Plotnitsky Purdue University, Literature, Theory and Cultural Studies Program, USA
Emmanuel Pothos City University London, Department of Psychology, UK
Sandro Sozzo University of Udine, Department of Humanities, Italy
Social Media Editor
Marisa Aimee Dusseault University of Alberta, Department of Earth and Atmospheric Sciences, Canada

Manuscript submission guidelines can be accessed on Sage Journals.

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