Alpha Research

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. 

Read More >

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.

Read More >

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.

Read More >

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.

Read More >

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.

Read More >

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%). 

Read More >

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.

Read More >

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.

Read More >

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

Read More >

Using NLP News Signals to Forecast Volatility and Generate Positive Returns

RESEARCH

Read More >

Comparing Natural Language Processing (NLP) Approaches for Earnings Calls

RESEARCH

Read More >

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.

Read More >

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. 

Read More >

Natural Language Processing in a Big Data World

RESEARCH

CFA Institute

Read More >

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.

Read More >

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.

Read More >

Comparative Analysis of NLP Approaches for Earnings Calls

RESEARCH

This research paper compares popular NLP approaches in the investment industry: Machine Learning, FinBERT, Loughran McDonald. Download the white paper to explore the nuances of each approach and get performance and correlations of each for the past 10 years. Additionally, see how these have performed historically vs. traditional investment factors (Value, Profitability, Quality, Momentum and Growth).

Read More >

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.

Read More >

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.

Read More >

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.

Read More >