e-ISSN: Pending
Negative / Null Result Report· cited by 3

Forecasting stock returns on the Amman Stock Exchange: Do neural networks outperform linear regressions?

Abdel Razzaq Al Rababa’a; Zaid Saidat; Raed Hendawi · 2021 · Investment Management and Financial Innovations

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Different models have been used in the finance literature to predict the stock market returns. However, it remains an open question whether non-linear models can outperform linear models while providing accurate predictions for future…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: Crossref · DOI 10.21511/imfi.18(4).2021.24