
Select Topics of Econophysics
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Economics requires understanding and analyzing forces that bring buyers and sellers to a market place who then negotiate exchanges of goods and services based on a mutually agreeable price. Economists have their own method of modeling whereby models are first conceived of some notion of economic and financial thinking, before being empirically tested, and anomalies are then recognized if the observed data is inconsistent with the hypothetical underpinning. This is in inherent contradiction with the modeling approaches of physicists who develop their theories, principle and laws after observing empirical data.
The awareness that physics can enlighten the understanding of human behavior (and thus economics), and the interest of physicists in applying their training and models to understanding the complexities of finance and economics, led to the creation of a new field of study appropriately termed as Econophysics.
Selected Topics on Econophysics is a collection of essays on topics that enhance and enrich our understanding of economic modeling when the same rigor of modelling used by physicists is brought to developing financial and economic theories. These articles include discussions on modeling bitcoins, stock index modeling using geometric Brownian motion, agent-based modeling, wealth distribution modeling, as well as modeling related to fractal regression, and chaotic processes.
This interdisciplinary book will interest researchers, graduate students and professionals in the fields of economics, finance as well as physics.
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Amit Sinha is currently Professor of Finance in the Foster College of Business at Bradley University, Peoria, IL, USA, where he teaches both graduate and undergraduate courses. Prior to Bradley, he worked at Indiana State University, and was Visiting Professor at Frankfurt School of Finance and Management in Germany. Dr. Sinha has published both empirical and theoretical manuscripts in prestigious journals, in areas that include Econophysics, asset pricing, international finance, dividend policy and behavioral finance. He has previously served as the Department Chair of the Finance and Quantitative Methods Department at Bradley University. He has also served as co-editor, associate editor, or editor-in-chief, and on the editorial boards of several journals. He was previously the Associate Organizer of International Mathematical Finance Conferences, and was the President of the Academy of Finance. Dr. Sinha is currently on the Executive Board of MBAA International.
Content
- Intro
- Contents
- Foreword
- Chapter 1 Econophysics: An Introduction
- Chapter 2 Logistic Modelling of Economic Dynamics
- Chapter 3 Outlook About the Mathematical Foundation of Creativity in Economy: Monadic Approach and Holistic Role of the Zeta Riemann Function
- Chapter 4 The Visualization of the U.S. Economy Under the Application of the EGAP-Helix
- Chapter 5 Wealth Distribution Patterns in Different Socio-economic Environments: Data Mining, Estimation and Modelling
- Chapter 6 Kinetic Exchange Models of Income and Wealth Distribution: Self Organization and Poverty Level
- Chapter 7 Kinetic Monte Carlo Simulations of an Agent-Based Model of Market Dynamics
- Chapter 8 Quantifying Economic Dynamics: Unveiling the Formula for Monetary Energy (Em)
- Chapter 9 Sociophysics Model of Bubbles with Neural-Stochastic Differential Equations: A Stochastic Inflation Model
- Chapter 10 Criticality of the Bitcoin Market
- Chapter 11 Decoding Cryptocurrency Vulnerability: Assessing Risk and Factors
- Chapter 12 A Quasi-optimal Technique for Rebalancing a Cryptocurrency Wallet
- Chapter 13 Price Modelling under Generalized Fractional Brownian Motion
- Chapter 14 Simplifying to Improve Reliability of Geometric Brownian Motion Stock Index Forecasts
- Chapter 15 Do Economic and Financial Factors Affect Expected S&
- P 500?
- Chapter 16 Predictability of Technical Analysis
- Chapter 17 Fractal Regressions: An Econophysics Innovation to Apply in Economics and Finance
- Chapter 18 The Menace and Caress of Wave: The Econophysics of Informational Diffusion
- Chapter 19 Improving Chaos Control: Implications for Economic Policies
- Chapter 20 Of Time and the River: Comovement, Heterogeneity, and Multifractality in a World Lit by Lightning
- Chapter 21 Transfer Entropies between Market Stocks
- Chapter 22 Multifractal Analysis of Regimes in Financial Markets
- Chapter 23 Evidence of Chaos in the Moroccan Stock Market before and during the Covid-19 Pandemic
- Chapter 24 Complexity Measure, Kernel Density Estimation, Bandwidth Selection, and the Efficient Market Hypothesis
- Chapter 25 Exploring the Intersection of Chemistry and Economic: The Emergence of Econochemistry
- Chapter 26 Developing a 3D Printed Prototype for Visualizing Large Development Indicator Performance in Any Country: The Domestic Development Domestic Integrated Structures (DDGIS)
- Acknowledgements
- List of Contributors
- List of Figures
- List of Tables
- About the Editor
- Index
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