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arXiv research

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.

168,695 papers · 148 categories

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17335066 · May 202519922001200920172026
48 results for emergence

The paper defines strong emergence in field theories and proves it exists between certain theories.

problem Defining and proving the existence of strong emergence phenomena between field theories.
method Formal definition and sufficient conditions for emergence, proving existence in Euclidean background.
result Strong emergence exists between certain parameterized Lagrangian field theories.

The paper axiomatizes strong emergence in parameterized field theories and proves existence theorems.

problem Formalizing and proving existence of strong emergence in parameterized field theories.
method Axiomatization and proof of existence theorems for strong emergence between Lagrangian field theories.
result Existence of strong emergence phenomena between parameterized Lagrangian field theories.

An agent-based computational economical toy model for the emergence of money from the initial barter trading, inspired by Menger's postulate that money can spontaneously emerge in a commodity exchange economy, is extensively studied. The model considered, while manageable, is significantly complex, however. It is alrea…

2013-12-17abs ↗pdf ↗

We introduce a simplified version of Drinfeld's equations that still solves Kashiwara-Vergne equations.

problem Solving Kashiwara-Vergne equations using Drinfeld's associator equations.
method Introducing a weak version of Drinfeld's associator equations and showing its solutions lead to solutions of the Kashiwara-Vergne equations.
result Solutions to emergent Drinfeld equations still solve the Kashiwara-Vergne equations.

Model simulates correlation emergence in two coupled limit order books.

problem Modeling correlation emergence in coupled limit order books.
method Simulated two coupled diffusive limit order books using random walks in the fluid limit, with trader interactions.
result Demonstrated the recovery of an Epps effect from the model.

Recent findings in multi-agent deep learning systems point towards the emergence of compositional languages. These claims are often made without exact analysis or testing of the language. In this work, we analyze the emergent language resulting from two different cooperative multi-agent game with more exact measures fo…

2020-01-23abs ↗pdf ↗

This thesis explores emergent intelligence in disordered systems like spin glasses and neural networks.

problem Understanding the principles behind emergent intelligent behaviors in disordered systems.
method Statistical physics approach to charting learning mechanisms and dynamics.
result Uncovering relationships between learning mechanisms and physical dynamics.

Emergenet predicts animal influenza strain emergence, outperforming current methods.

problem Limited ability to quantitatively assess animal influenza strain emergence.
method Infer digital twin of sequence evolution using 220,151 HA sequences.
result Emergenet predictions outperform WHO seasonal vaccine recommendations and CDC IRAT scores.

Study finds long memory in some emerging Asian stocks but not in developed markets.

problem Evaluating stock market efficiency in emerging vs developed markets.
method Improved wavelet estimator of long range dependence.
result Emerging Asian markets show more long memory in stock returns than developed markets.

Automated trading systems on developed and emerging capital markets are studied in this paper. The standard for developed market is automated trading system with 40-days simple moving average. We tested it for the index SIX Industrial for 1000 and 730 trading days of the slovak emerging capital market. The Buy and Hold…

2005-05-04abs ↗pdf ↗

Extracts intrinsic spatial coordinates for complex agent systems to learn PDEs.

problem Modeling collective dynamics of heterogeneous agents.
method Data-driven extraction of intrinsic spatial coordinates, learning PDEs in emergent space.
result Collective dynamics can be approximated through learned PDEs in emergent coordinates.

Framework preserves emergent physics in non-equilibrium systems from particle trajectories.

problem Linking short spatiotemporal scales to emergent bulk physics in multiscale systems.
method Metriplectic bracket formalism for structure-preserving coarse-graining.
result Preservation of thermodynamic laws and conservation in machine-learned dynamics.

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

problem Managing economic crises and fluctuations in dominant currencies like USD and EUR.
method Theoretical analysis, case studies, econometric modeling.
result Emerging economies can stabilize growth with countercyclical monetary policies.

We show that the emergence of systemic risk in complex systems can be understood from the evolution of functional networks representing interactions inferred from fluctuation correlations between macroscopic observables. Specifically, we analyze the long-term collective dynamics of the New York Stock Exchange between 1…

2018-07-09abs ↗pdf ↗

Solves a model for sudden problem-solving ability in deep learning.

problem Emergence of new problem-solving abilities in deep learning models.
method Solves a simple multi-linear model in a skill-basis, finding analytic expressions for emergence and scaling laws.
result Simple model captures sigmoidal emergence of multiple new skills in neural networks.

The Epps effect varies under different sampling schemes, affecting correlation emergence rates.

problem Uncertainty in choosing time and sampling rates for financial systems.
method Comparison of Epps effect under calendar, volume, and trade time schemes using a Hawkes process model.
result Correlations emerge faster under trade time compared to calendar time, and linearly under volume time.

Given a six-dimensional symplectic manifold (M,B)(M, B), a nondegenerate, co-closed four-form CC introduces a dual symplectic structure B~=C\widetilde{B} = *C independent of BB via the Hodge duality *. We show that the doubling of symplectic structures due to the Hodge duality results in two independent classes of nonc…

2014-12-04abs ↗pdf ↗

Models predict fire and other emergencies in Edmonton.

problem Accurate prediction of emergency events for timely response.
method Data collection, descriptive analysis, feature selection, and negative binomial regression.
result Models perform well, with acceptable prediction errors for weekly and monthly periods.

Financial market is an example of complex system, which is characterized by a highly intricate organization and the emergence of collective behavior. In this paper, we quantify this emergent dynamics in the financial market by using concepts of network synchronization. We consider networks constructed by the correlatio…

2011-09-05abs ↗pdf ↗

This work explains crises in markets without external news using bounded rational agents.

problem Inability to model out-of-equilibrium dynamics in economic markets.
method Modeling bounded rational strategic reasoning in multi-agent market games.
result Bounded rational strategic reasoning can lead to endogenously emerging crises.

The paper explains how language models acquire complex skills through scaling laws and statistical analysis.

problem Understanding how language models acquire new skills as their size and training data increase.
method Statistical framework and mathematical analysis of scaling laws.
result Language models can learn complex skills efficiently due to a strong inductive bias.

Unified analytic account of correlation emergence and Epps effect in coupled limit order books

problem Correlation emergence and Epps effect in coupled limit order books
method Discrete random-walk description of order flow with creation, cancellation, and diffusion, coupled reaction-diffusion equations with moving reaction boundary
result Realized correlations as a function of aggregation time

This note continues investigation of randomness-type properties emerging in idealized financial markets with continuous price processes. It is shown, without making any probabilistic assumptions, that the strong variation exponent of non-constant price processes has to be 2, as in the case of continuous martingales.

2007-12-10abs ↗pdf ↗

Geoeconomic analysis of venture capital portfolios reveals key emerging tech domains and countries.

problem Quantifying geoeconomic power and technological sovereignty through venture capital data.
method Economic complexity methods applied to venture capital portfolios and RVA metrics.
result Cloud Computing, Cybersecurity Tools, and Medtech have the highest concentration of specialization among high-GCI countries.

How do we know if communication is emerging in a multi-agent system? The vast majority of recent papers on emergent communication show that adding a communication channel leads to an increase in reward or task success. This is a useful indicator, but provides only a coarse measure of the agent's learned communication a…

2019-03-12abs ↗pdf ↗

Thanks to the recent availability of comprehensive and detailed online databases of startup companies, it has become possible to more directly investigate startup ecosystems i.e. startup populations in specific regions. In this paper, we analyze the emergence of 20+ such ecosystems in Europe and the USA, with a specifi…

2019-06-06abs ↗pdf ↗

Emerging market hard-currency bonds are an asset class of growing importance, and contain exposure to an EM sovereign and the underlying industry. The authors investigate how to model this as a modification of the well-known first-to-default (FtD) basket, using the structural model, and find the approach feasible.

2018-04-24abs ↗pdf ↗

Noise-driven neural networks emerge modular structures, improving robustness and generalization.

problem Artificial neural networks struggle with modular solutions, leading to poor generalization and robustness.
method Inspired by brain's modular architecture, the study uses neural noise and nonlinear responses to drive the emergence of modular solutions.
result Noise-driven modularisation improves robustness and generalization in neural networks.

The Basel II Accords have sparked increased interest in the development of approaches based on internal ratings systems and have initiated the elaboration of models for remote ratings forecasts based on external ones as part of Risk Management and Early Warning Systems. This article evaluates the peculiarities of curre…

2016-07-05abs ↗pdf ↗