A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
This paper presents a simple model to measure the relative economic growth of economic systems. The model considers S-Shaped patterns of economic growth that, represented with a linear model, measure how an economic system grows in comparison with another one. In particular, this model introduces an approach which indi…
Study examines how taxes affect wealth inequality in economic models.
Proposes a taxonomy for economic policies.
The fundamental purpose of the present research article is to introduce the basic principles of Dimensional Analysis in the context of the neoclassical economic theory, in order to apply such principles to the fundamental relations that underlay most models of economic growth. In particular, basic instruments from Dime…
Modeling business cycles via collective risk fluctuations in economic agents' risk space.
Developing an AI economist agent using RAG, knowledge graphs, and LLMs for economic scenario analysis.
Model predicts real-time job applicant numbers for regional economic analysis.
This mathematical essay brings together ideas from Economics, Geobiodynamics and Thermodynamics. Its purpose is to obtain real models of complex evolutionary systems. More specifically, the essay defines Roegenian Economy and links Geobiodynamics and Roegenian Economy. In this context, we discuss the isomorphism betwee…
Conventional economic analysis of stringent climate change mitigation policy generally concludes various levels of economic slowdown as a result of substantial spending on low carbon technology. Equilibrium economics however could not explain or predict the current economic crisis, which is of financial nature. Meanwhi…
Study uses Perelman and Ricci flow methods to analyze economic inequality.
Economic systems are similar with physic systems for their large number of individuals and the exist of equilibrium. In this paper, we present a model applying the equilibrium statistical model in economic systems. Consistent with statistical physics, we define a series of concepts, such as economic temperature, econom…
Deep-MacroFin uses neural networks to solve complex economic models efficiently.
Economic factors significantly influence stock returns, as shown by attribution analysis.
New framework for interpretable firm characteristics factors.
Money analyzed as a multidimensional tensor for better economic policy.
Examines financial risks' impact on EU-15 economic growth.
The stock market has been known to form homogeneous stock groups with a higher correlation among different stocks according to common economic factors that influence individual stocks. We investigate the role of common economic factors in the market in the formation of stock networks, using the arbitrage pricing model …
Current economic theories miss most of economic dynamics.
Most of the econometric and econophysics models have been borrowed from the statistical physics, and as a cosequence, a new interdisciplinary science called econophysics has emerged. In this paper we planned to extend the analogy between different economic processes or phenomena and processes and phenomena from differe…
Study adds memory effect to Solow-Swan model for more accurate economic growth modeling.
The seriousness of the current crisis urgently demands new economic thinking that breaks the austerity vs. deficit spending circle in economic policy. The core tenet of the paper is that the most important problems that natural and social science are facing today are inverse problems, and that a new approach that goes …
New framework detects time-varying economic persistence.
Second-order economic theory considers new variables to improve price volatility predictions.
The paper proposes a new model for predicting and analyzing economic variables.
Generative Networks outperform traditional methods in PiT ESG generation.
The prevalent view in the economics literature is that a high level of infrastructure investment is a precursor to economic growth. China is especially held up as a model to emulate. Based on the largest dataset of its kind, this paper punctures the twin myths that, first, infrastructure creates economic value, and, se…
LemonadeBench evaluates LLMs' economic intuition through a simulated lemonade stand.
Interactive tools help teach economics online.
LLMs can memorize economic data and recall exact values before their training cutoff.
The paper presents instructive interdisciplinary applications of constrained mechanics calculus in economics on a level appropriate for the undergraduate physics education. The aim of the paper is: 1. to meet the demand for illustrative examples suitable for presenting the background of the highly expanding research fi…
Study improves stock return prediction by switching between economic states, outperforming traditional methods.
Study examines how governance, corruption, and R&D affect economic development.
Mean Field Games applied to finance and economics.
Our study shows that many firms would accumulate at zero output level (namely, Bankruptcy status) if a perfectly competitive market reaches full employment (namely, those people who should obtain employment have obtained employment). As a result, appearance of economic crisis is determined by two points; that is, (a). …
A result about projections of Gibbs measures from a particular class arising in economic modeling is proved.
Quantum approach models economic decisions with probabilistic and dynamic probabilities.
Based on the assumption that economic complexity is characterised by the interactions of economic agents (who) constantly change their actions and strategies in response to the outcome they mutually create, this paper presents how network models can be used a proxies for the mapping, quantification and analysis of Roma…
We address the problem of banking system resilience by applying off-equilibrium statistical physics to a system of particles, representing the economic agents, modelled according to the theoretical foundation of the current banking regulation, the so called Merton-Vasicek model. Economic agents are attracted to each ot…
The use of equilibrium models in economics springs from the desire for parsimonious models of economic phenomena that take human reasoning into account. This approach has been the cornerstone of modern economic theory. We explain why this is so, extolling the virtues of equilibrium theory; then we present a critique an…
DRL enhances economic modeling with deep learning methods.
In this paper we present a kinetic model with stochastic game-type interactions, analyzing the relationship between the level of political competition in a society and the degree of economic liberalization. The above issue regards the complex interactions between economy and institutional policies intended to introduce…
A new constructivist approach to modeling in economics and theory of consciousness is proposed. The state of elementary object is defined as a set of its measurable consumer properties. A proprietor's refusal or consent for the offered transaction is considered as a result of elementary economic measurement. Elementary…
Deep RL solves complex economic models with heterogeneous agents.
We propose in this work a kinetic wealth-exchange model of economic growth by introducing saving as a non consumed fraction of production. In this new model, which starts also from microeconomic arguments, it is found that economic transactions between pairs of agents leads the system to a macroscopic behavior where to…
Quantum crypto-economics models price risks in blockchain technology.
'Ergodicity economics' is criticized as pseudoscience.
Examines various types of cryptocurrencies and their economic properties.
The study revises GDPpc trends and redistributes economic power among countries.