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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 historical income

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.

Study on Brazilian income distribution using PNAD data.

problem Analyzing income inequality in Brazil.
method Used semi-empirical model to reconcile Pareto and Boltzmann-Gibbs distributions, calculated multiple inequality measures.
result Decreasing income inequality over 2001-2014 period, especially for historically disadvantaged groups.

This paper presents a dynamic model to study the impact on the economic outcomes in different societies during the Malthusian Era of individualism (time spent working alone) and collectivism (complementary time spent working with others). The model is driven by opposing forces: a greater degree of collectivism provides…

2015-12-04abs ↗pdf ↗

This paper optimizes tontines for retirement income, improving on historical designs.

problem Designing optimal retirement income products that outperform traditional annuities.
method Solves Euler-Lagrange equation to derive optimal tontine structure, considering longevity risk aversion and pool size.
result The natural tontine is near-optimal for all levels of longevity risk aversion and pool size, offering better lifetime utility than traditional annuities.

The paper uses machine learning to predict missing yield parameters from liquid markets to illiquid corporate bonds.

problem Predicting missing yield parameters from illiquid corporate bonds.
method Applying Denoising Autoencoder (DAE) algorithm to historical data of liquid market instruments.
result DAE algorithm outperforms point-in-time inpainting algorithms in predicting unobserved yield surfaces.

The instability of historical risk factor correlations renders their use in estimating portfolio risk extremely questionable. In periods of market stress correlations of risk factors have a tendency to quickly go well beyond estimated values. For instance, in times of severe market stress, one would expect with certain…

2001-08-14abs ↗pdf ↗

Machine learning extracts features from illiquid corporate bond yields.

problem Extracting features from illiquid corporate bond yields.
method Applied Denoising Autoencoder algorithm to learn features from liquid market data.
result Trained machine learning algorithm's results compared with 2D interpolation.

Paper examines how income support affects retirement decisions for low-income individuals.

problem Retirement decisions of low-income individuals affected by income disaster.
method Modeling consumption/savings, investment, and retirement choices with income support.
result Optimal retirement decision depends on the level of income support provided.

Predicts power outages duration using neural networks and text analysis.

problem Predicting duration of distribution system outages.
method Historical data for training neural networks, environmental factors for initial prediction, text analysis for updates.
result Improved performance with text analysis for identifying outage causes and repair steps.

The study analyzes ETFs' portfolio optimization and tail-risk management.

problem Analyzing the performance of actively managed ETFs in managing risk and diversification.
method Daily Bloomberg data for 30 funds, evaluating various strategies under long-only and long-short constraints.
result Tangency-type portfolios generally outperform buy-and-hold benchmarks, while minimum-variance and CVaR-minimizing portfolios sacrifice upside for downside control.

The aim of this work is to establish the personal income distribution from the elementary constituents of a free market; products of a representative good and agents forming the economic network. The economy is treated as a self-organized system. Based on the idea that the dynamics of an economy is governed by slow mod…

2012-03-29abs ↗pdf ↗

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

problem Analyzing and predicting relative spreads between economies in fixed income markets.
method State-space functional regression model incorporating dynamic Nelson-Siegel model and kernel PCA.
result The new model outperforms the dynamic Nelson-Siegel model in explaining relative spreads.

Income redistribution boosts cooperation in spatial public goods games, but the effect depends on the model of redistribution.

problem The impact of income redistribution on cooperation in spatial public goods games.
method Two models of income redistribution were used: local and global. Spatial public goods games were employed to study the evolution of cooperation.
result The cooperation level is significantly higher with local redistribution of income, but lower with global redistribution.

Analyzes how many people can receive stable income in a pooled annuity fund.

problem Quantifying the trade-off between income stability and the number of members in a pooled annuity fund.
method Investment returns held constant, systematic longevity risk omitted. Derived an analytical expression for income stability.
result The number of fund members who receive stable income is independent of the mortality model.

Developing a scientific understanding of cities in a fast urbanizing world is essential for planning sustainable urban systems. Recently, it was shown that income and wealth creation follow increasing returns, scaling superlinearly with city size. We study scaling of per capita incomes for separate census defined incom…

2015-09-03abs ↗pdf ↗

Study shows income inequality increases with city size, affecting only the wealthiest deciles.

problem Understanding income inequality in urban areas.
method Urban scaling analysis of total income scaling in population percentiles.
result Income in the poorest decile does not increase with city size, while the wealthiest deciles show superlinear scaling.

This study analyzes inequality in Romanian income distribution using advanced statistical methods.

problem Characterizing inequality in Romania's income distribution.
method Advanced statistical techniques, specifically Theil index decomposition.
result Salient factors contributing to income inequality in Romania identified.

We found a unified formula for description of the household incomes of all society classes, for instance, of those of the European Union in year 2007. This formula is a stationary solution of the threshold Fokker-Planck equation (derived from the threshold nonlinear Langevin one). The formula is more general than the w…

2013-01-28abs ↗pdf ↗

Income and wealth distribution affect stability of a society to a large extent and high inequality affects it negatively. Moreover, in the case of developed countries, recently has been proven that inequality is closely related to all negative phenomena affecting society. So far, Econophysics papers tried to analyse in…

2014-10-17abs ↗pdf ↗

We investigate the Japanese personal income distribution in the high income range over the 112 years 1887-1998, and that in the middle income range over the 44 years 1955-98. It is observed that the distribution pattern of the lognormal with power law tail is the universal structure. However the indexes specifying the …

2000-11-22abs ↗pdf ↗

Study finds Pareto distribution for wealth and income of Norway's richest individuals.

problem Analyzing wealth and income distribution of Norway's richest individuals.
method Empirical data from Norwegian tax office, using Pareto law.
result Robust mean Pareto exponents for income and wealth are approximately 2.3 and 1.5 respectively.

We prove that the refined approach -- our extension of the Yakovenko et al. formalism -- is universal in the sense that it describes well both household incomes in the European Union and the individual incomes in the United States for social classes of any income. This formalism allowed the study of the impact of the r…

2014-11-06abs ↗pdf ↗

The results of R^2 dynamical random surface model (2-dimensional quantum gravity with a R2R^2 term) are applied to explain the personal income distribution. A scale invariance exists if there is not the R2R^2 term in the action. The R^2 term provides a typical scale and breaks the scale invariance explicitly in the low…

2002-03-20abs ↗pdf ↗

Unified model explains income inequality across countries.

problem Understanding and explaining income inequality across different countries.
method Analytical model based on a master equation with growth and reset terms, tested on real data.
result Income distributions collapse on a master-curve when normalized, suggesting a universal pattern.

We present a stochastic agent-based model for the distribution of personal incomes in a developing economy. We start with the assumption that incomes are determined both by individual labour and by stochastic effects of trading and investment. The income from personal effort alone is distributed about a mean, while the…

2009-05-25abs ↗pdf ↗

We introduce a mean-field type approximation for description of company's income statistics. Utilizing huge company data we show that a discrete version of Langevin equation with additive and multiplicative noises can appropriately describe the time evolution of a company's income fluctuation in statistical sense. The …

2003-07-11abs ↗pdf ↗

Optimal income crossover found using particle swarm optimization.

problem Determining the crossover point between two income distributions.
method Particle swarm optimization for finding crossover income, temperature, and Pareto index.
result Optimization method finds boundaries of two income distributions.

A microeconomic model is developed, which accurately predicts the shape of personal income distribution (PID) in the United States and the evolution of the shape over time. The underlying concept is borrowed from geo-mechanics and thus can be considered as mechanics of income distribution. The model allows the resoluti…

2009-03-02abs ↗pdf ↗

Pareto's law states that the distribution of personal income obeys a power-law in the high-income range, and has been supported by international observations. Researchers have proposed models over a century since its discovery. However, the dynamical nature of personal income has been little studied hitherto, mostly du…

2002-08-21abs ↗pdf ↗

We analyze and develop a quantitative model describing the evolution of personal income distribution, PID, for males and females in the U.S. between 1930 and 2014. The overall microeconomic model, which we introduced ten years ago, accurately predicts the change in mean income as a function of age as well as the depend…

2015-10-09abs ↗pdf ↗

This article is focused on using a new measurement of risk-- Weighted Value at Risk to develop a new method of constructing initiate from the TVAR solving problem, based on MATLAB software, using the historical simulation method (avoiding income distribution will be assumed to be normal), the results of previous studie…

2012-11-24abs ↗pdf ↗

Two sets of high quality income data are analysed in detail, one set from the UK, one from the USA. It is firstly demonstrated that both a log-normal distribution and a Boltzmann distribution can give very accurate fits to both these data sets. The absence of a power tail in the US data set is then discussed. Taken in …

2004-06-28abs ↗pdf ↗