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Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market Frictions

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Good debt or bad debt: Detecting semantic orientations in economic texts
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Sentiment trading with large language models
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Are Institutions Informed About News?
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News implied volatility and disaster concerns
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Text Selection
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Mutual Fund Performance
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Liquidity Risk and Expected Stock Returns
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Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media
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A Taxonomy of Anomalies and Their Trading Costs
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Information, Trading, and Volatility: Evidence from Firm-Specific News
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A Reality Check for Data Snooping
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FinBERT : A Large Language Model for Extracting Information from Financial Text*
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On Persistence in Mutual Fund Performance
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Giving Content to Investor Sentiment: The Role of Media in the Stock Market
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More Than Words: Quantifying Language to Measure Firms' Fundamentals
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When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
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The Causal Impact of Media in Financial Markets
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In Search of Attention
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Business News and Business Cycles
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Graph-Based Stock Recommendation by Time-Aware Relational Attention Network
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Challenges in Deploying Machine Learning: A Survey of Case Studies
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Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
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Long Short-Term Memory
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A Test for Superior Predictive Ability
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Disclosure Sentiment: Machine Learning vs. Dictionary Methods
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The News in Earnings Announcement Disclosures: Capturing Word Context Using LLM Methods
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Task Contamination: Language Models May Not Be Few-Shot Anymore
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When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
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Leveraging LLM-based sentiment analysis for portfolio optimization with proximal policy optimization
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Continuous Auctions and Insider Trading
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FinBen: A Holistic Financial Benchmark for Large Language Models
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