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Applications of Statistical Physics in Finance and Economics [PDF]
, 2009 This chapter reviews recent research adopting methods from statistical physics in theoretical or empirical work in economics and nance. The bulk of what has recently become known as 'econophysics' in broader circles draws its motivation from observed scaling laws in nancial markets and the abundance of data available from the economy's nancial ...
Thomas Lux
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International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance.
Antonio A. Golpe +3 more
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A General Class of Tests for Testing Homogeneity of Location Parameters against Umbrella Alternatives [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 In this paper, a general class of non-parametric tests for testing homogeneity of location parameter against umbrella alternatives is proposed. Testing for umbrella alternatives has many applications in the field of biology, medicine, botany, dose level ...
Manish Goyal, Narinder Kumar
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On partially Schur-constant models and their associated copulas
Dependence Modeling, 2021 Schur-constant vectors are used to model duration phenomena in various areas of economics and statistics. They form a particular class of exchangeable vectors and, as such, rely on a strong property of symmetry.
Lefèvre Claude
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Probability and Statistics with Applications in Finance and Economics [PDF]
The Scientific World Journal, 2015 Probability and statistics play a vital role in every field of human activity. In particular, they are quantitative tools widely used in the areas of economics and finance. Knowledge of modern probability and statistics is essential for the development of economic and finance theories and for the testing of their validity through robust analysis of ...
Sarah Brown, Wing Keung Wong
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The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students
Journal of Statistics Education, 2020 In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content.
María Caballer-Tarazona +1 more
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Wellcome Open Research, 2019 Likelihood-free inference for simulator-based models is an emerging methodological branch of statistics which has attracted considerable attention in applications across diverse fields such as population genetics, astronomy and economics.
Jan Kokko +4 more
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Financial repression, financial deepening and their effects on Iranian industrial development [PDF]
Management Science Letters, 2014 This research analyzes the effects of financial deepening as well as repression on industrial development in Iran. Using some time series data, the proposed study applies the method originally introduced by Johansen and Juselius (1990) [Johansen, S ...
Iman Jokar
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NECESSITY OF IMPLEMENTATING DATA SCIENCE COURSE IN ECONOMICS CURRICULA
Інформаційні технології і засоби навчання, 2020 The article describes the relevance and feasibility of implementation Data Science courses for leading economics majors: 051 Economics, 075 Marketing, 073 Management.
Iryna S. Lazarenko +4 more
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Antieigenvalue analysis for continuum mechanics, economics, and number theory
Special Matrices, 2016 My recent book Antieigenvalue Analysis, World-Scientific, 2012, presented the theory of antieigenvalues from its inception in 1966 up to 2010, and its applications within those forty-five years to Numerical Analysis, Wavelets, Statistics, Quantum ...
Gustafson Karl
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