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researcher

Masaya Abe

9 papers hereh-index 6193 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5
  • last author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • q-fin.PM3
  • q-fin.ST2
  • quant-ph2
  • cs.LG1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedCross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management

18 citations · 56 across the 8 of their papers we have counts for

collaborators
Showing q-fin.STShow all

2 papers · 1 filter

q-fin.ST2019★ 17 cited

A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy

Kei Nakagawa, Masaya Abe, Junpei Komiyama

Stock return predictability is an important research theme as it reflects our economic and social organization, and significant efforts are made to explain the dynamism therein. St…

q-fin.ST2018

Deep Learning for Forecasting Stock Returns in the Cross-Section

Masaya Abe, Hideki Nakayama

Many studies have been undertaken by using machine learning techniques, including neural networks, to predict stock returns. Recently, a method known as deep learning, which achiev…

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