Alpha Research

Research: Using AI to Read SEC Filings

RESEARCH

This research paper shows how domain specific artificial intelligence can analyze SEC filings to uncover hidden alpha and risk factors.

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Earnings Call Sentiment for Sector Selection

RESEARCH

We use Alexandria's financial AI to read earnings calls for stocks with the purpose of building sector rankings based on the sentiment of the underlying companies.

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European Equities Surge

RESEARCH

Artificial intelligence trained for the purpose of investment research can capture information in media, such as news reports, that is often overlooked by financial market participants.

Sentiment derived from news for European stocks is able to capture returns above the index.  

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Is ChatGPT a Good Stock Picker?

RESEARCH

This research paper analyzes the ability of ChatGPT to classify sentiment on corporate earnings calls.  We compare the performance of ChatGPT to popular NLP approaches in the investment industry: FinBERT, Loughran McDonald, and Alexandria's machine learning approach. 

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Top 10 Best & Worst News Stocks — Weekly Research Insights

RESEARCH

Each week, we look across our global universe of coverage and share with you the Top 10 US large cap stocks with the Most / Best / Worst news. 

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Forecasting S&P 500 Index Returns – Macro News Research

RESEARCH

Dow Jones Economic News can serve as a significant forecaster for stock index movements, predicting daily direction with a 74% hit rate.

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Unlocking Nikkei Japanese Market Sentiment

RESEARCH

This white paper explores Japanese market sentiment analysis by leveraging native Natural Language Processing (NLP) techniques and demonstrates significant alpha capture.

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Expanded Sources, Enhanced Alpha — Global Web News

RESEARCH

Alexandria has created a data service of curated news sites and blogs from around the world providing investors with expanded coverage and enhanced ability to capture alpha and make better decisions.

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Research: Dynamic Earnings Call Strategies

RESEARCH

This research paper shows how to implement a Dynamic Earnings Call Strategy to account for market rotation and high volatility and outperform the market by building detailed and thematic company views that go beyond what any single analyst or team can do alone.

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Capture Alpha in Volatile Markets

RESEARCH

News Sentiment captures Alpha in volatile markets. A review of market disruptions over the past 20 years and the Alpha generated: Tech Bust: 2000 (+72%), Financial Crisis: 2008 (+74.1%), COVID: March 2020 (+23.3%), 2022 YTD Inflation / War in Ukraine (+33.3%). 

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Regression Based Alpha Strategies Using Sentiment

RESEARCH

This research paper shows how to build regression based Alpha strategies using news sentiment that can outperform the market, limit drawdowns, and perform particularly well in volatile and down markets.

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Podcast - Natural Language Processing (NLP) in the investment process

RESEARCH

CFA Society Chicago member Rich Excell, CFA, and Dan Joldzic, CFA, FRM, CEO and Quantitative Researcher at Alexandria Technology, discuss the role that Natural Language Processing (NLP) plays in the investing process.

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Reddit Research Highlights - 93% Return; 1.5 Sharpe Ratio

RESEARCH

Alexandria’s Reddit sentiment produced a long/short portfolio returning over 90% with a 1.5 Sharpe ratio.

Request Reddit Research Highlights Here

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Using NLP News Signals to Forecast Volatility and Generate Positive Returns

RESEARCH

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Comparing Natural Language Processing (NLP) Approaches for Earnings Calls

RESEARCH

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Sentiment Signals Improve Value & Growth Strategies

RESEARCH

New research from Societe Generale shows that adding sentiment signals to Value & Growth strategies improves portfolio characteristics and significantly increases returns.

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Inflation & Supply Chain Impact on Company Earnings

RESEARCH

This research looks at Inflation & Supply Chain data for every earnings call in the S&P 500 and its impact on company earnings and stock price performance. 

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Natural Language Processing in a Big Data World

RESEARCH

CFA Institute

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Alexandria Technology Selected by FactSet for Earnings Call Search Capabilities

RESEARCH

Alexandria Technology, the leading Natural Language Processing (NLP) technology for the investment industry, today announced it is working with FactSet, a global provider of integrated financial information, analytical applications, and industry-leading service, to bring corporate Earnings Call Sentiment analysis to FactSet users.

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SOCIETE GENERALE: OUTSOURCE CALLS TO A MACHINE

RESEARCH

Societe Generale finds Alexandria Earnings Calls NLP to be stronger than traditional quantitative factors with significant residual.

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J.P. Morgan: Social Media Sentiment

RESEARCH

J.P. Morgan finds value in Alexandria Chat Room sentiment over daily and weekly horizons. All performance metrics improved including returns, Sharpe ratio, drawdowns, and Skew.

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Empirical Research Partners: Robot Newsreaders

RESEARCH

Computing net sentiment for economic topics helps investors see what is directly driving episodes of panic or euphoria, allowing them to position their portfolios over 12-month horizons.

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Risk Systems That Read

RESEARCH

Northfield measures how the present is different from the past and, therefore, how the near future is also likely to be different from the past — something missing from nearly all financial models.

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