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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: econ.GN
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The search results for "econ.GN" highlight diverse studies related to economic and societal dynamics. Key topics include the foundational role of reciprocity in social systems, modeled through individual behaviors rather than top-down structures; the stochastic modeling of aggregate utilities in economies; and the application of statistical physics to understand stock market dynamics. Additionally, there is an analysis of market bubbles in India and an environmental study on trace element concentrations in Eleyele Lake, Nigeria, reflecting the interdisciplinary nature of economic research.
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arxiv.org
Reciprocity as the Foundational Substrate of Society: How Reciprocal Dynamics Scale into Social Systems

Prevailing accounts in both multi-agent AI and the social sciences explain social structure through top-down abstractions-such as institutions, norms, or trust-yet lack simulateable models of how such structures emerge from individual behavior. Ethnographic and archaeological evidence suggests that …

cs.CY cs.MA physics.soc-ph
arxiv.org
The stochastic field of aggregate utilities and its saddle conjugate

We describe the sample paths of the stochastic field $F = F_t(v,x,q)$ of aggregate utilities parameterized by Pareto weights $v$ and total cash amounts $x$ and stocks' quantities $q$ in an economy. We also describe the sample paths of the stochastic field $G = G_t(u,y,q)$, which is conjugate to $F$ …

q-fin.GN math.PR
arxiv.org
Dynamics of the Price Behavior in Stock Market: A Statistical Physics Approach

We study in this paper the time evolution of stock markets using a statistical physics approach. Each agent is represented by a spin having a number of discrete states $q$ or continuous states, describing the tendency of the agent for buying or selling. The market ambiance is represented by a parame…

q-fin.GN cond-mat.stat-mech physics.soc-ph
arxiv.org
Interrogation of A Bubble in the Indian Market

Emerging markets such as India provide investors with returns far greater than those in developed markets; taking the average returns from the period 1995 to 2014 the returns are 4.714% to 3.276% of the developed market. The majority of emerging markets commenced joining with the capital market of t…

q-fin.GN
arxiv.org
Assessment Of Selected Trace Elements Concentration in Eleyele Lake-Water, Ibadan South Western Nigeria

Eleyele Lake has enormous economic importance as it is completely surrounded by various communities which discharge their domestic waste directly into the lake. This alters the physical, chemical and biological characteristics of the lake. It is essential to assess the water for its various usage. T…

physics.geo-ph
arxiv.org
Reply to Commentaries on 'An Evolutionary Framework for Cultural Change: Selectionism versus Communal Exchange'

The commentators have brought a wealth of new perspectives to the question of how culture evolves. Each of their diverse disciplines--ranging from psychology to biology to anthropology to economics to engineering--has a valuable contribution to make to our understanding of this complex, multifaceted…

q-bio.PE nlin.AO q-bio.NC
arxiv.org
Strict universality of the square-root law in price impact across stocks: a complete survey of the Tokyo stock exchange

Universal power laws have been scrutinised in physics and beyond, and a long-standing debate exists in econophysics regarding the strict universality of the nonlinear price impact, commonly referred to as the square-root law (SRL). The SRL posits that the average price impact $I$ follows a power law…

q-fin.TR cond-mat.stat-mech econ.GN q-fin.PM q-fin.RM
arxiv.org
Reinforcement Learning in High-frequency Market Making

This paper establishes a new and comprehensive theoretical analysis for the application of reinforcement learning (RL) in high-frequency market making. We bridge the modern RL theory and the continuous-time statistical models in high-frequency financial economics. Different with most existing litera…

q-fin.TR cs.LG econ.EM q-fin.ST stat.ML