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arXiv research

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169,051 papers · 148 categories

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10 results for newspapers
Research in Econophysicscond-mat.stat-mech

This article is written for the online newspaper "The Photon" published by the Department of Physics, University of Maryland. The article describes econophysics research done in the group of Victor Yakovenko. It briefly surveys the subjects "Statistical Mechanics of Money, Income, and Wealth" and "Probability Distribut…

2003-02-13abs ↗pdf ↗

News sentiment in U.S. economic newspapers has become more persistent over 45 years.

problem Understanding the temporal dynamics of U.S. economic news sentiment over time.
method Daily economic news sentiment index from 1980-2025, analyzed using sentiment indexes.
result News sentiment states have become more persistent, with longer residence times in optimistic or pessimistic regimes.

According to the definition of the London Interbank Offered Rate (LIBOR), contributing banks should give fair estimates of their own borrowing costs in the interbank market. Between 2007 and 2009, several banks made inappropriate submissions of LIBOR, sometimes motivated by profit-seeking from their trading positions. …

2015-08-19abs ↗pdf ↗

We show that power-law analyses of financial commentaries from newspaper web-sites can be used to identify stock market bubbles, supplementing traditional volatility analyses. Using a four-year corpus of 17,713 online, finance-related articles (10M+ words) from the Financial Times, the New York Times, and the BBC, we s…

2012-12-11abs ↗pdf ↗

Analyzes ESG impact on stock market performance using social media and news data.

problem Understanding the impact of ESG news on stock market performance.
method Summarized live ESG data from social media and news, created sentiment index, calculated stock price changes, and compared sentiment to performance.
result ESG sentiment correlates with stock price changes, indicating its impact on market performance.

Sabrina integrates financial data and domain knowledge for better visualization.

problem Scattered financial data across various sources makes it hard for analysts to understand the economy.
method Sabrina uses a pipeline to fuse firm-specific and macroeconomic data, visualizing it in a unified interface.
result Sabrina aids financial analysts in their analysis process, as shown in a user study.

Study finds many stocks in S&P 500 are inefficient, suggesting financial analysts outperform blindfolded monkeys.

problem Degree of inefficiency in U.S. stock market performance.
method Confidence intervals for proportions to assess inefficiency in S&P 500 components.
result Proportion of inefficient stocks in the S&P 500 index estimated to be between 12.13% and 27.87%

New method improves reliability of LDA topic modeling by assessing stability across replicated runs.

problem LDA's reproducibility issues due to initial values and Gibbs sampling.
method Cluster replicated LDA runs using modified Jaccard coefficient and pruning algorithm.
result New measure S-CLOP quantifies LDA topic stability, improving reproducibility.