arXiv research

Hydrodynamic model explains trade between two countries.

GDP of China is about 11 trillion dollars and GDP of the United States is about 18 trillion dollars. Suppose that we know for the coming years, economy of the US will experience a real growth rate equal to \%3 and economy of China will experience a real growth as of \%6. Now, the question is how long does it take for e…

We present an empirical analysis of the network formed by the trade relationships between all world countries, or World Trade Web (WTW). Each (directed) link is weighted by the amount of wealth flowing between two countries, and each country is characterized by the value of its Gross Domestic Product (GDP). By analysin…

Paper presents an econophysics model for mixed economies.

Bilateral trade relationships in the international level between pairs of countries in the world give rise to the notion of the International Trade Network (ITN). This network has attracted the attention of network researchers as it serves as an excellent example of the weighted networks, the link weight being defined …

Study models risks for low-carbon economy in Balkan countries, focusing on shadow economy and populism.

Bayesian method tests Granger causality in functional time series.

Oil economy modeled using phase plots and Benard convection analogy.

We report quantitative relations between corruption level and economic factors, such as country wealth and foreign investment per capita, which are characterized by a power law spanning multiple scales of wealth and investments per capita. These relations hold for diverse countries, and also remain stable over differen…

Paper proposes a framework for token economy simulation and wealth distribution.

Defines crisis transitions in pure exchange economies rigorously.

Analyzes how economic policies affect wealth distribution in Bitcoin token economy.

Paper outlines methodology for token economy modelling and event impact analysis.

Study compares shareholder networks in Turkish and Dutch companies.

Model estimates foreign exchange reserve compositions of undisclosed central banks.

We discuss a Pareto macro-economy (a) in a closed system with fixed total wealth and (b) in an open system with average mean wealth and compare our results to a similar analysis in a super-open system (c) with unbounded wealth. Wealth condensation takes place in the social phase for closed and open economies, while it …

The study finds significant financial sector volatility and tail risk spillovers to real economy sectors.

Ranking stock indices based on causal influence using directed information graphs.

We study the competitive equilibrium of large random economies with linear activities using methods of statistical mechanics. We focus on economies with $C$ commodities, $N$ firms, each running a randomly drawn linear technology, and one consumer. We derive, in the limit $N,C\to\infty$ with $n=N/C$ fixed, a complete de…

Mathematical model predicts international trade and global economy dynamics.

Analyzing real data on international trade covering the time interval 1950-2000, we show that in each year over the analyzed period the network is a typical representative of the ensemble of maximally random weighted networks, whose directed connections (bilateral trade volumes) are only characterized by the product of…

Study finds nighttime lights correlate with Indian GDP growth.

This paper deals with the stability properties of a closed market, where capital and labour force are acting like a predator-prey system in population-dynamics. The spatial movement of the capital and labour force are taken into account by cross-diffusion effect. First, we are showing two possible ways for modeling thi…

Associating stock mechanics to real economy, in terms of volume, number of transactions, and cost, i.e. money flow for shares, we obtained the fundamental laws of stock mechanics.

This study analyzes global oil trade networks to assess their efficiency and robustness.

The green area of economy is the key of healthy living. It is necessary to convene economic and ecologic framework to establish a market attentive to drastic reduction of emissions damaging our climate and landscapes in rural areas, to the protection of biological diversity of the planet, to stop producing nuclear wast…

We present a model of an economy inspired by individual based model approaches in evolutionary ecology. We demonstrate that evolutionary dynamics in a space of companies interconnected through a correlated interaction matrix produces time dependencies of the total size of the economy total number of companies, companie…

Model shows significant income inequality emerges from equal opportunities in a simple economy.

The optimal (`equilibrium') macroscopic properties of an economy with $N$ industries endowed with different technologies, $P$ commodities and one consumer are derived in the limit $N\to\infty$ with $n=N/P$ fixed using the replica method. When technologies are strictly inefficient, a phase transition occurs upon increas…

A new model explains relative spreads between economies using dynamic Nelson-Siegel and functional regression.

Study on asset price dynamics in OLG economies with and without a bubbly asset.

Emerging economies use countercyclical policies to manage crises and dominant currencies.

Paper combines CNN and GBoost for better stock price prediction.

This study assesses how economic shocks affect the efficiency and robustness of international pesticide trade networks.

Develops a framework to assess systemic risk in the economy using bank-firm network data.

General equilibrium is the dominant theoretical framework for economic policy analysis at the level of the whole economy. In practice, general equilibrium treats economies as being always in equilibrium, albeit in a sequence of equilibria as driven by external changes in parameters. This view is sometimes defended on t…

We study a minimalist kinetic model for economies. A system of agents with local trading rules display emergent demand behaviour. We examine the resulting wealth distribution to look for non-thermal behaviour. We compare and contrast this model with other similar models.

Extends DeTEcT framework for token economies with dynamic and probabilistic parameters.

Paper analyzes virtual economies, reducing volatility and inflation.

Most of the analytical techniques used in the business cycle synchronisation literature rely upon the estimation of an empirical correlation matrix of time series data of macroeconomic aggregates, real GDP usually being the key variable. But the small number of available observations and small number of economies mean …

This paper provides a coopetitive model for a global green economy, taking into account the environmental sustainability. In particular, we propose a differentiable coopetitive game G (in the sense recently introduced by D. Carf`ı) to represent a global green economy interaction, among a country c and the rest of the w…

Minimal model reveals power laws in financial markets.

The paper confirms a conjecture about optimal expected utility in markets with insider information.

The paper confirms a conjecture about optimal expected utility in discrete-time markets approaching a continuous-time model.

Economy is demanding new models, able to understand and predict the evolution of markets. To this respect, Econophysics offers models of markets as complex systems, that try to comprehend macro-, system-wide states of the economy from the interaction of many agents at micro-level. One of these models is the gas-like mo…

This paper provides an attempt to formalize Hayek's notion of spontaneous order within the framework of the Arrow-Debreu economy. Our study shows that if a competitive economy is enough fair and free, then a spontaneous economic order shall emerge in long-run competitive equilibria so that social members together occup…

With this study we want to test the validity of the well known "Verdoorn's Law" which considers the relationship between the growth of productivity and output in the case of the Portuguese economy at a regional and sectoral levels (NUTs II) for the period 1995-1999. The importance of some additional variables in the or…

This paper uses NARX neural networks for macroeconomic forecasting and goal setting.