We examine the potential of ChatGPT, and other large language models, in predicting stock market returns using sentiment analysis news headlines. use ChatGPT to indicate whether a given headline is good, bad, or irrelevant for firms' prices. then compute numerical score document positive correlation between these scores subsequent daily returns. Further, outperforms traditional methods. find th...

Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

Accurate return value prediction is a key tool for enabling effective speculative method-level parallelism, which will be a standard feature in the next generation of chip-multiprocessor architectures. In this paper we give some information theoretic measures that indicate intrinsic predictability of method return values. This is in stark contrast to the current ad-hoc heuristic measures impose...