Dice Question Streamline Icon: https://streamlinehq.com

Causes of DeBERTa performance differences across investment universes

Ascertain whether the underperformance of the encoder-only model DeBERTa in the large investment universe is attributable to model size or to other factors, and explain the causes of DeBERTa’s varying performance across different small investment universes when fine-tuned to predict forward stock returns from financial newsflow.

Information Square Streamline Icon: https://streamlinehq.com

Background

Empirically, decoder-only models often yield stronger portfolios in larger universes, while results are mixed in smaller universes. DeBERTa underperforms in the large universe and shows variable performance in small universes.

The authors explicitly state uncertainty about whether DeBERTa’s large-universe underperformance stems from model scale or other factors, and seek explanations for its varying results in small universes.

References

Several open questions remain for future research. For instance, it is unclear whether the underperformance of encoder-only DeBERTa in the large investment universe is due to the model size or other factors, and why DeBERTa has varying performance in different small universes.

Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow (2407.18103 - Guo et al., 25 Jul 2024) in Conclusion