Evaluation and Ranking of Market Forecasters Here's a recent M* interview of Christine Benz on the topic.
https://www.morningstar.ca/ca/news/260559/do-market-forecasts-really-matter.aspxWell on the glass half full side, it kinda disproves one poster's incessant claims that ALL forecasts (except his) are ALWAYS wrong, ALL the time!
FWIW, we use forecasts in a manner similar to what CB suggests, to help shape LT planning assumptions. We annually look briefly at a different forecasts but look daily/weekly at a lot of different T/A's work.
We take deep dives into WHY they are making their respective T/A conclusions. (We spend far more time on T/A than forecasts.) Then like our process of selecting PMs for active funds, we look at who has worthy LT performance records and who are making similar, strong cases for their conclusions. (Note the PM hurdle is consistent S&P outperformance.)
Forecasts are more like guardrails for LT planning, while the aggregate work of T/A's we follow and trust play a large part in our investment strategy, mostly ST, but at times relatively LT as well.
Evaluation and Ranking of Market Forecasters I came across the following study which evaluates and ranks 68 market forecasters.
Although the study is from 2017, I believe overall results are still pertinent today.
Major finding: the majority of forecasters perform at levels not significantly different than chance,
which makes it very difficult to tell if there is any skill present.
• Across all forecasts, the accuracy is around 48%.
• Two-thirds of forecasts predict as far as only a month.
• Only one-third of forecasts predict periods over one month.
• Two-thirds of forecasters have an accuracy level below
50%.
• Only about 6% of forecasters have their accuracy values between 70% and 79%.
• The highest accuracy value is still below 80%.
https://pdfs.semanticscholar.org/afca/37db6aa17f5be8e5d1ebb93c40cf52413123.pdfSSRN paper