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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.

169,341 papers · 148 categories

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48 results for economic stagnation

Historical economic growth in Asia (excluding Japan) is analysed. It is shown that Unified Growth Theory is contradicted by the data, which were used (but not analysed) during the formulation of this theory. Unified Growth Theory does not explain the mechanism of economic growth. It explains the mechanism of Malthusian…

2015-12-16abs ↗pdf ↗

Simplifies analysis of hyperbolic distributions in demographic and economic research.

problem Fundamental postulates of demographic and economic research contradicted by data.
method Simple method of reciprocal values for identifying and analyzing hyperbolic distributions.
result Fundamental postulates of demographic and economic research are incorrect.

Data describing historical economic growth are analysed. Included in the analysis is the world and regional economic growth. The analysis demonstrates that historical economic growth had a natural tendency to follow hyperbolic distributions. Parameters describing hyperbolic distributions have been determined. A search …

2015-09-09abs ↗pdf ↗

Galor's mysterious income growth rate is debunked, revealing data manipulation.

problem Mysterious sudden spurt in income per capita growth rate.
method Mathematical analysis of historical world economic growth data.
result The sudden spurt in income per capita growth rate is an artifact of data presentation.

Gradient descent stagnates in low-precision, but unbiased rounding schemes improve convergence.

problem Stagnation of gradient descent in low-precision computation.
method Proposed unbiased stochastic rounding schemes that trade zero bias for larger probability of preserving small gradients.
result Unbiased rounding methods typically improve convergence rate of gradient descent for convex problems.

Study compares altcoins to Bitcoin, analyzing their features and market performance.

problem Comparing altcoins to Bitcoin to understand market performance and features.
method Used Google Trend data, price, volume, and market capitalization data from coinmarketcap.com.
result Features of Litecoin, Zcash, Bitcoin Cash, Ethereum, and Bitcoin Gold affect market performance and user preferences.

This paper designs sensor arrays for estimating unsteady flows efficiently.

problem Estimating high-dimensional unsteady flow fields with limited sensor placement.
method Combines data-driven modeling, Kalman Filter design, and sparsification for sensor selection.
result Proposed sensor arrays are highly effective for flow-field estimation across various conditions.

Current economic theories miss most of economic dynamics.

problem Accuracy of economic theories and policies depend on economic variables and processes.
method Identify and analyze overlooked economic variables and processes.
result Many economic variables and processes not accounted for in current theories.

Proposes r2SGLD for efficient constrained exploration in non-convex learning.

problem Stagnation in high-temperature chains of reSGLD in distribution tails.
method r2SGLD: replica exchange with reflection steps in a bounded domain.
result Reflection steps enhance mixing rates with quadratic improvement in domain diameter.

Machine learning improves RNA secondary structure prediction.

problem Stagnant performance of RNA secondary structure prediction methods.
method Machine learning, especially deep learning, is used to predict RNA secondary structures.
result Machine learning methods have improved the prediction of RNA secondary structures.

New sampler tackles complex discrete energy landscapes efficiently.

problem Stagnation in gradient-based discrete samplers for non-convex settings.
method DREXEL sampler with Replica Exchange and Adjusted Metropolis.
result Proves samplers satisfy detailed balance and converge to target distribution.

Paper presents a model to measure economic growth and development.

problem Measuring relative economic growth of different systems.
method S-Shaped model with linear representation to indicate growth, development, or underdevelopment.
result Model accurately measures economic growth and development of regions and macro regions.

Gradient descent with biased rounding errors converges faster under certain conditions.

problem Stagnation or negative impact of rounding errors in neural network training with low precision.
method Analysis of gradient descent with stochastic fixed-point rounding errors under the Polyak-Lojasiewicz inequality.
result Biased rounding errors can improve convergence rates, especially when the Polyak-Lojasiewicz inequality holds.

Modeling business cycles via collective risk fluctuations in economic agents' risk space.

problem Understanding and predicting business cycles through economic agents' risk dynamics.
method Continuous numerical risk grades for economic agents, modeling collective economic variables and flows as functions of risk coordinates, deriving equations for their evolution.
result Business and credit cycles are explained as fluctuations of collective economic variables and their mean risks in the risk space of economic agents.

Essay combines thermodynamics, economics, and geobiodynamics to model complex systems.

problem Understanding complex evolutionary systems in economics and geobiodynamics.
method Defines Roegenian Economy, links thermodynamics and economics, analyzes phase equilibrium, and discusses economic black holes.
result Roegenian economic systems are described as Carnot groups with phase equilibrium analysis.

The study applies Dimensional Analysis to the neoclassical economic growth model.

problem Inconsistency in the neoclassical economic growth model.
method Dimensional Analysis was used to evaluate and adjust the model.
result An adjustment to the neoclassical economic growth model is required to satisfy the principle of dimensional homogeneity.

The dynamic network of relationships among corporations underlies cascading economic failures including the current economic crisis, and can be inferred from correlations in market value fluctuations. We analyze the time dependence of the network of correlations to reveal the changing relationships among the financial,…

2010-11-16abs ↗pdf ↗

Paper classifies economic states and optimizes portfolios for stagflationary environments.

problem Economic uncertainty and stagflationary conditions.
method Mathematical techniques for analyzing multivariate time series, economic driver analysis, self-similarity identification, and portfolio optimization.
result Constructs economic state classifications and computes economic state integrals.

Surveying machine learning methods for economic forecasting.

problem Improving accuracy of economic forecasts using machine learning.
method Nowcasting, textual data, panel and tensor data, high-dimensional Granger causality tests, time series cross-validation, classification with economic losses.
result Recent advances in machine learning methods enhance economic forecasting accuracy.

Second-order economic theory considers new variables to improve price volatility predictions.

problem Current economic models focus on first-order variables, missing second-order variables that affect price volatility.
method Introduces second-order economic theory with new variables composed of sums of squares of agents' transactions.
result Second-order economic theory complements first-order variables and introduces new macroeconomic variables.

China's infrastructure investments fail to deliver economic growth, leading to fragility.

problem The myth that infrastructure investment leads to economic growth is debunked.
method Analysis of the largest dataset of infrastructure investment data in China.
result Infrastructure investments in China do not provide a positive risk-adjusted return.

The study analyzes social and economic systems using bosonic and fermionic statistics.

problem Analyzing hierarchical social and economic systems.
method Intermediate Gentile statistics and derivation of thermodynamic laws.
result Introduces concepts like temperature and pressure for economic systems.

Model estimates urban capabilities driving economic performance.

problem Estimating the drivers of urban economic complexity and their connection to performance.
method Derived a model to infer capabilities from employment data, statistically superior to alternatives.
result The derived model explains known urban scaling and economic complexity results and correlates with economic performance.

A simpler measure of economic complexity derived from product diversity.

problem Economic growth theory's reliance on GDP as the sole indicator of a country's capabilities.
method Log Product Diversity (LPD) derived from a combinatorial model of production.
result LPD better predicts economic growth than conventional variables like GDP and human capital.

The algebra of transactions as fundamental measurements is constructed on the basis of the analysis of their properties and represents an expansion of the Boolean algebra. The notion of the generalized economic measurements of the economic quantity and quality of objects of transactions is introduced. It has been shown…

2014-12-18abs ↗pdf ↗