Discovering the influences of the patent innovations on the stock market

作者：

Highlights：

• The patent and market activities based stock market trend prediction model includes a discrete wavelet transform method and a long-short-term memory based market trend prediction method.

• The discrete wavelet transform method results in wavelet based representation of patent and market actives.

• The long-short-term memory based market trend prediction method predicts market trend and analyzes the patent influence.

摘要

•The patent and market activities based stock market trend prediction model includes a discrete wavelet transform method and a long-short-term memory based market trend prediction method.•The discrete wavelet transform method results in wavelet based representation of patent and market actives.•The long-short-term memory based market trend prediction method predicts market trend and analyzes the patent influence.

论文关键词：00-01,99-00,Intellectual property,Patent,Stock,Prediction

论文评审过程：Received 30 October 2021, Revised 11 February 2022, Accepted 14 February 2022, Available online 28 February 2022, Version of Record 28 February 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102908