SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A novel hybrid stock selection method with stock prediction · Study

ArticleShelves

ArticleA novel hybrid stock selection method with stock prediction

Fengmei Yang2019

Article2019

A novel hybrid stock selection method with stock prediction

Fengmei Yang · Jingjing Li · Ling Tang

100 citations·0/0 files stored·Applied Soft Computing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Stock Market Forecasting Methods Financial Markets and Investment Strategies Machine Learning and ELM

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 100 citations exist upstream.

References

1994Comparing Predictive Accuracy 1995Comparing Predictive Accuracy 1990Evidence that stock prices do not fully reflect the implications of current earnings for future earnings 2008Surveying stock market forecasting techniques – Part II: Soft computing methods 2002The Statistics of Sharpe Ratios 2014News impact on stock price return via sentiment analysis 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting 2011A hybrid stock selection model using genetic algorithms and support vector regression

Cited by

2022Machine learning techniques and data for stock market forecasting: A literature review 2020Mean–variance portfolio optimization using machine learning-based stock price prediction 2021Stock-Price Forecasting Based on XGBoost and LSTM 2019Stock Market Prediction Using Machine Learning(ML)Algorithms 2021A stock selection algorithm hybridizing grey wolf optimizer and support vector regression

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020Stock Market Forecasting Using Computational Intelligence: A Surveyarticle · 4 shared references 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agendaarticle · 4 shared references 2017Deep learning with long short-term memory networks for financial market predictionsarticle · 3 shared references 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studiesarticle · 3 shared references 2021Applications of deep learning in stock market prediction: Recent progressarticle · 3 shared references 2022Machine learning techniques and data for stock market forecasting: A literature reviewarticle · 3 shared references

Details

Year2019

Typearticle

Published2019-03-22

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations100

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.asoc.2019.03.028

openalex_workW2931437238

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2023

Quantitative stock portfolio optimization by multi-task learning risk and return

2023A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer

2021Hybrid evolutionary intelligent system and hybrid time series econometric model for stock price forecasting