Recently, a Chicago University paper sparked heated discussions in the industry. The study found that GPT-4The accuracy rate in stock selection is as high as 60%, surpassing most humansStock AnalystAND PROFESSIONAL MODELS. THIS DISCOVERY RAISED DOUBTS AS TO WHETHER HUMAN STOCK ANALYSTS WOULD BE AT RISK OF BEING LAID OFF. HOWEVER, SOME AI BULLS QUESTIONED THE STUDY, POINTING OUT THAT THERE COULD BE PROBLEMS WITH TRAINING DATA CONTAMINATION, WHICH AFFECTED THE ACCURACY OF THE RESULTS。
BY ANALYSING THE FINANCIAL STATEMENTS, THE RESEARCHERS ALLOWED GPT-4 TO FORECAST FUTURE GAINS. UNFORTUNATELY, GPT-4 HAS SUCCESSFULLY ANALYSED THE FIGURES IN THE FINANCIAL STATEMENTS WITHOUT ANY CONTEXT AND HAS ACHIEVED ALARMING EXCELLENCE. THERE IS, HOWEVER, AI BULL SUGGESTING THAT THERE MAY BE A RISK THAT TRAINING DATA WILL BE CONTAMINATED, I.E. GPT-4 MAY CONTAIN FUTURE TRAINING DATAstockPrices affect the accuracy of results。
The researchers also analyzed the narrative insights model generated by GPT-4 and found that this may be one of the reasons for the success of GPT-4. By encoding and analyzing the narrative insights generated by the model, the researchers found that this information is informative for predicting future returns. This discovery gives people a new understanding of the excellent performance of GPT-4.
Although GPT-4 outperformed human stock analysts and professional models in stock selection, researchers pointed out that there may be problems with training data contamination, which affected the accuracy of the results. For the success of GPT-4, more in-depth research and verification may be needed to ensure its reliability and accuracy in the field of stock selection.