Earnings call analysis 2.0 goes beyond good and bad words
Quants develop new ways to extract signals from media-savvy chief executives and their financial statements
Reading between the lines is a skill that students of literature learn. It’s also becoming a vital technique for investors who analyse earnings calls in search of signals.
The old way that investors used to comb transcripts for sentiment is less effective at predicting returns now that company senior executives have begun to pepper their financial statements with optimistic corporate-speak. So, quants are having to find new ways of extracting cues from the words.
Earnings call investing
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Quant investing
How Man Numeric found SVB red flags in credit data
Network analysis helps quant shop spot concentration and contagion risks
Is low vol crowded? That depends who you ask
Equity drawdowns have pushed more investors into low volatility strategies, raising fears of a build-up of risk
The quant investor harnessing the power of ants
Swarm Technology designs network of trading algorithms that mimics hive mind of insects
Role of the dice: how Susquehanna puts game theory to work
One of the world’s largest options traders uses game theory – and poker practice – to get results
No link between geopolitical risk signals and returns – hedge fund
Gauges of geopolitical risk are better at predicting volatility than equity returns, research from XAI finds
Growth to value, and back via quality
Inflation-fuelled stock rotations are full of complexity
Geopolitical risk models not ‘rigorous’ enough, says quant
Joseph Simonian believes game theory and reinforcement learning could improve matters
AI models point to recession, but quants won’t trade on them
Predicting the odds of a recession, and how markets will respond, is still a step too far for machines
