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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.

169,291 papers · 148 categories

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12243547 · Oct 202419922001200920182026
48 results for capital stock

Study finds stock prices rarely appreciate during capital inflows but often appreciate during normal flows.

problem Understanding stock price behavior during capital inflows and outflows.
method Identified capital flow episodes using threshold and k-means clustering; detected stock index changepoints using PELT method; combined results over identified capital flows.
result Stock prices rarely appreciate during capital inflows but often appreciate during normal flows.

Study reveals the 2020 U.S. stock crash was endogenous, not caused by COVID.

problem Understanding the cause of the 2020 U.S. stock market crash.
method Applied log-periodic power law singularity (LPPLS) methodology to analyze four major U.S. stock market indexes.
result The 2020 U.S. stock market crash was endogenous, stemming from systemic instability, not COVID.

Artificial Neural Networks predict stock returns, finding larger stocks less predictable.

problem Evaluating the validity of the Efficient Market Hypothesis.
method Backpropagation Artificial Neural Network analysis of Brazilian stock market.
result Predictability of stock returns is related to market capitalization, with larger stocks less predictable.

Research shows that information asymmetry affects how quickly companies adjust their capital structure and expected returns.

problem The relationship between capital structure adjustment speed and expected returns is influenced by information asymmetry.
method A hybrid data regression model was used to test the hypotheses based on data from 120 companies in the Tehran Stock Exchange.
result Information asymmetry positively affects the relationship between capital structure adjustment speed and expected returns.

Statistical fields model explains capital allocation and accumulation among firms and investors.

problem Understanding capital allocation and accumulation dynamics among firms and investors.
method Applied statistical fields formalism to heterogeneous agents divided into firms and investors.
result Capital accumulation depends on various factors including long-term returns, competition, and stock price volatility.

Simple, non-optimized portfolios beat capitalization-weighted indexes due to excess growth, not individual stock growth.

problem Simple investment strategies outperform capitalization-weighted indexes over long periods.
method Decomposed portfolio log-returns into average and excess growth components, using rank-based empirical study.
result Excess growth component, not individual stock growth, explains outperformance of naive portfolios.

Study finds nonlinear relationship between stock correlation and multiscaling indicator.

problem Understanding the relationship between stock correlation and multiscaling in financial markets.
method Investigated the relationship between an indicator of multiscaling and stock correlation, considering capitalization and kurtosis.
result Observed a robust stylized fact of nonlinear dependence between multiscaling indicator and stock correlation across different markets.

There is convincing evidence showing that the probability distributions of stock returns in mature markets exhibit power-law tails and both the positive and negative tails conform to the inverse cubic law. It supports the possibility that the tail exponents are universal at least for mature markets in the sense that th…

2010-03-31abs ↗pdf ↗

The study introduces a new stickiness parameter for stock prices using a non-linear model.

problem Understanding how closely individual stocks follow a stock index's price movements.
method Developed a non-linear pricing model inspired by tectonic plate movements to measure stickiness.
result Defined a stickiness parameter for stock price returns using a novel model.
Open Marketsq-fin.MF

Open markets are a subset of equity markets with fixed top stocks, changing over time.

problem Understanding the dynamics and characteristics of open markets.
method Analyzing the similarities and differences between open markets and closed equity markets, and exploring specific topics like CAPM and portfolio construction.
result The equivalence of market viability and the existence of a numeraire portfolio holds in open markets, similar to closed markets.

We propose and study a simple model of dynamical redistribution of capital in a diversified portfolio. We consider a hypothetical situation of a portfolio composed of N uncorrelated stocks. Each stock price follows a multiplicative random walk with identical drift and dispersion. The rules of our model naturally give r…

1998-01-23abs ↗pdf ↗

Study analyzes price change patterns across different market capitalizations using Markov chains.

problem Understanding price dynamics in limit order markets across various market capitalizations.
method Discrete-time Markov chain analysis of intraday price changes in NASDAQ100 tick data.
result Systematic patterns in price inertia and stability across market capitalizations are identified.

Study finds recent Korean stock returns have fatter tails than before, especially for smaller companies.

problem Understanding the fat tails in financial return distributions.
method Empirical analysis of Korean stock market data, controlling for the 1997 foreign currency crisis and volatility clustering.
result Fat tails in stock return distributions persist even after controlling for market crashes and volatility clustering.

We add size factor to CAPM and normalize residuals by Volatility Index.

problem Capturing the size effect in CAPM and making residuals Gaussian.
method Insert size effect, normalize residuals by Volatility Index, and fit model to real-world data.
result The new model shows long-term stability and connects to Stochastic Portfolio Theory.

The study analyzes how wartime controls influenced zaibatsu stock prices in Japan.

problem How wartime economic controls affected zaibatsu stock prices in Japan.
method Developed a four-portfolio asset-pricing model and used a CAPM-AR(p)-SV event-study framework.
result Wartime economic controls influenced stock prices through financing wedges and zaibatsu affiliation.

We investigate the impact of capital gains taxes on optimal investment decisions in a quite simple model. Namely, we consider a risk neutral investor who owns one risky stock from which she assumes that it has a lower expected return than the riskless bank account and determine the optimal stopping time at which she se…

2014-12-30abs ↗pdf ↗

Local no-arbitrage under capital gains taxes is weaker than in frictionless markets.

problem How local in time is the no-arbitrage property under capital gains taxes?
method Introducing robust local no-arbitrage (RLNA) and proving it under a sharp dichotomy condition.
result No-arbitrage alone does not imply the existence of an equivalent separating measure.

Transformer model predicts stock prices in Bangladesh's stock market.

problem Predicting volatile stock prices in the Bangladesh stock market.
method Transformer model applied to time series data for stock price prediction.
result Transformer model shows promising results in predicting stock price movements.

Introduces an asymmetric model for measuring market risk.

problem Existing models are symmetric and do not account for asymmetric risk.
method Develops an asymmetric capital asset pricing model that considers position-dependent market risk.
result Long positions in Apple stock have lower volatility than the market, contrary to the standard model.

Study finds varying market efficiency in prewar and wartime Japanese stock market.

problem Measuring market efficiency in prewar and wartime Japanese stock market.
method Using a new market capitalization-weighted stock price index, the study examines market efficiency over time and historical events.
result The adaptive market hypothesis is supported in the prewar and wartime Japanese stock market, with efficiency varying over time and with historical events.

Study examines short-term stress of COVID-19 on major global stock indices.

problem Short-term impact of COVID-19 on global stock markets.
method Secondary data from 41 stock exchanges in 32 countries, focusing on first reported cases.
result Volatility in stock markets increases with the rise of COVID-19 cases, and there is a significant negative correlation.

We consider a Black-Scholes market in which a number of stocks and an index are traded. The simplified Capital Asset Pricing Model is the conjunction of the usual Capital Asset Pricing Model, or CAPM, and the statement that the appreciation rate of the index is equal to its squared volatility plus the interest rate. (T…

2011-11-11abs ↗pdf ↗

I explain the root of persistent failure of efforts to remove tax-induced distortions of economic incentives. It lies in FUNDAMENTAL IMPOSSIBILITY of objectively evaluating tax base. Distortions can be entirely avoided in the sector of publicly traded corporations. Evaluation can be bypassed by taxing it in shares (to …

2000-12-18abs ↗pdf ↗

Previous analyses of a large ensemble of stock markets have demonstrated that a log-periodic power law (LPPL) behavior of the prices constitutes a qualifying signature of speculative bubbles that often land with a crash. We detect such a LPPL signature in the foreign capital inflow during the bubble on the US markets c…

2003-06-19abs ↗pdf ↗

We investigate the average frequency of positive slope να+ν_α^{+}, crossing for the returns of market prices. The method is based on stochastic processes which no scaling feature is explicitly required. Using this method we define new quantity to quantify stage of development and activity of stocks exchange. We compare …

2006-01-26abs ↗pdf ↗

Atlas-type models are constant-parameter models of uncorrelated stocks for equity markets with a stable capital distribution, in which the growth rates and variances depend on rank. The simplest such model assigns the same, constant variance to all stocks; zero rate of growth to all stocks but the smallest; and positiv…

2006-02-23abs ↗pdf ↗

We perform a parallel analysis of the spectral density of (i) the logarithm of price and (ii) the daily number of trades of a set of stocks traded in the New York Stock Exchange. The stocks are selected to be representative of a wide range of stock capitalization. The observed spectral densities show a different power-…

1999-12-01abs ↗pdf ↗

The study measures home bias in stock portfolios of emerging and developed markets.

problem Measuring and understanding home bias in stock portfolios across emerging and developed markets.
method An international capital asset pricing model with cross-section econometrics, analyzing 20 countries from 2008 to 2013.
result All countries have high home bias in their stock portfolios, with different factors affecting them.

Model shows how capital accumulation can lead to poverty traps and well-being states.

problem Capital accumulation and its effects on poverty and well-being.
method Stochastic Solow growth model with sigmoidal saving fraction and bimodal steady state distribution.
result Existence of poverty trap with fluctuation-driven transitions between poverty and well-being states.

We consider a trader who wants to direct his portfolio towards a set of acceptable wealths given by a convex risk measure. We propose a black-box algorithm, whose inputs are the joint law of stock prices and the convex risk measure, and whose outputs are the numerical values of initial capital requirement and the funct…

2006-07-25abs ↗pdf ↗

We reanalyze high resolution data from the New York Stock Exchange and find a monotonic (but not power law) variation of the mean value per trade, the mean number of trades per minute and the mean trading activity with company capitalization. We show that the second moment of the traded value distribution is finite. Co…

2005-08-22abs ↗pdf ↗