The stock market operates on informed decisions based on information gathered from heterogeneous sources, encompassing diverse beliefs, strategies, and knowledge. This study examines the validity of rational bubbles in stock market prices, focusing on eight African stock markets: South Africa,...

Intermittent or multifractal behavior has been reported in various markets, and the impact of the COVID-19 pandemic has been investigated. However, the impact of the COVID-19 pandemic on global spot markets for staple foods has not yet been studied. We fill this gap by investigating the grain...

The current Special Issue brought out the newest trends in Econophysics that have made use of the most recent available tools, such as Big Data. The emphasis of the reprint is on deciphering the effects of current world events, such as the repercussions of the recent war conflicts, the oil and...

Extreme events are ubiquitous in nature and social society, including natural disasters, accident disasters, crises in public health (such as Ebola and the COVID-19 pandemic), and social security incidents (wars, conflicts, and social unrest). These extreme events will heavily impact financial...

The production, or value added, approach to GDP involves calculating an industry or sector's output and subtracting its intermediate consumption (the goods and services used to produce the output) to derive its value added. The value added at the macro level depends on business efficiency. It...

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the...

We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management focused on short-term volatility. Its implementation, a fully automated momentum equity trading system, is systematically discussed in this paper. It proved to be successful in extensive...

In this paper, we deal with the possibility of using econophysics concepts in dynamic portfolio optimization. The main idea of the research is that combining different methodological aspects in portfolio selection can enhance portfolio performance over time. Using data on CESEE stock market...

The change of information near light speed, advances in high-speed trading, spatial arbitrage strategies and foreseen space exploration, suggest the need to consider the effects of the theory of relativity in finance models. Time and space, under certain circumstances, are not dissociated and...

Purpose - The authors' goal is to provide an overview and historical context for the various alternatives to the efficient market hypothesis (EMH) that have emerged over time. The authors found eight current alternatives that have emerged to address the EMH's flaws. Each of the proposed...

Purpose - The authors' goal is to provide an overview and historical context for the various alternatives to the efficient market hypothesis (EMH) that have emerged over time. The authors found eight current alternatives that have emerged to address the EMH's flaws. Each of the proposed...

Pesticides are agricultural inputs that can significantly reduce yield losses, regulate plant growth, effectively liberate agricultural productivity, and improve food security. The availability of pesticides in economies worldwide is ensured by redistribution through international trade, with...

This paper comprehensively explores the compelling framework encompassing Opportunity Econophysics, Opportunity Cones, Conscious Agents, and the Traces of the Conscious Dimension within the context of economic systems. The interdisciplinary nature of this framework integrates concepts from...

This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020. The Hurst exponents are calculated by applying multifractal detrended fluctuation...

We propose a simple agent-based computational model in which speculators' trading behavior may cause bubbles and crashes, excess volatility, serially uncorrelated returns, fat-tailed return distributions and volatility clustering, thereby replicating five important stylized facts of stock...

Systemic Risk and Complex Networks in Modern Financial Systems -- Systemic Risk and Network Science: A Bibliometric and Systematic Review -- A Holistic Journey into Systemic Risk: Theoretical Background, Transmission Channels and Policy Implication -- Macro-prudential Policies to Mitigate...

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...

Preface -- Part I Background -- Chapter 1 Fundamental Issues in This Book -- Part II Topological Structure -- Chapter 2 Recognize the Trade Roles of Industrial Sectors -- Chapter 3 Probe the Industrial Linkages Reasonably and Effectively -- Chapter 4 Find the Vital Industrial Sectors and IO...

The article develops a complex interdisciplinary paradigm, or rather a multiparadigm of bioeconomics, exemplifying the necessary role and the broader horizon of multidisciplinarity through bioeconophysics, in the context of (bio)diversity and modern morality, in a logically investigative and...

Pervasive and ubiquitous oscillations, mapping the repetitive variation in time of a specific state, are well known as abundant phenomena in research and practice. Motivated by the success of oscillators in the modelling, analysis and control of dynamical systems, we developed a related approach...

The change of information near light speed, advances in high-speed trading, spatial arbitrage strategies and foreseen space exploration, suggest the need to consider the effects of the theory of relativity in finance models. Time and space, under certain circumstances, are not dissociated and...

We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management focused on short-term volatility. Its implementation, a fully automated momentum equity trading system, is systematically discussed in this paper. It proved to be successful in extensive...

In this paper, we deal with the possibility of using econophysics concepts in dynamic portfolio optimization. The main idea of the research is that combining different methodological aspects in portfolio selection can enhance portfolio performance over time. Using data on CESEE stock market...

The production, or value added, approach to GDP involves calculating an industry or sector's output and subtracting its intermediate consumption (the goods and services used to produce the output) to derive its value added. The value added at the macro level depends on business efficiency. It...

Using an analogy between finance and astrophysics, this study aims to investigate whether there exists a mechanism that can describe the explosive increase in the number of traded cryptocurrencies and the cryptocurrency market in general. In physics, the Schwarzschild radius indicates that black...

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the...

This research applies Econophysics under the special theory of relativity, the general theory of relativity, and the black holes to evaluate the COVID-19 economic damage. This paper is divided into three sections. The first section proposes applying the special theory of relativity to assess the...

We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded...

Using an analogy between finance and astrophysics, this study aims to investigate whether there exists a mechanism that can describe the explosive increase in the number of traded cryptocurrencies and the cryptocurrency market in general. In physics, the Schwarzschild radius indicates that black...

In this paper we develop a well-established financial model to investigate whether bubbles were present in opinion polls and betting markets prior to the UK’s vote on EU membership on 23 June 2016. The importance of our contribution is threefold. Firstly, our continuous-time model allows for...

In recent years economic agents and systems have become more and more interactive and juxtaposed, therefore the social sciences need to rely on the studies of physical sciences to analyze this complexity in the relationships. According to this point of view, the authors rely on the geometrical...

In recent years economics agents and systems have become more and more interacting and juxtaposed, therefore the social sciences need to rely on the studies of physical sciences to analyze this complexity in the relationships. According to this point of view the authors rely on the geometrical...