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LSTM for Forecasting Nigerian Stock Returns by ui K is a document available to read on EtoBox.

What is LSTM for Forecasting Nigerian Stock Returns about?

The study investigates the use of Long Short-Term Memory (LSTM) models for predicting equity stock returns in the Nigerian Stock Exchange, achieving over 90% accuracy with a cleaned historical dataset. It highlights the challenges of stock market predictability and compares LSTM performance against other deep learning models. The authors suggest future research should explore hybrid models combining LSTM with other techniques to enhance prediction reliability.

Author

ui K

Language

EN