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ArticleA hybrid fuzzy time series model based on granular computing for stock price forecasting

Mu‐Yen Chen2014

Article2014

A hybrid fuzzy time series model based on granular computing for stock price forecasting

Mu‐Yen Chen · Bo-Tsuen Chen

228 citations·0/0 files stored·Information Sciences

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

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References

1986Generalized autoregressive conditional heteroskedasticity 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation 1977Time Series Analysis: Forecasting and Control 1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks 1966Financial Ratios As Predictors of Failure 1986Generalized autoregressive conditional heteroscedasticity

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2021Fine-tuned support vector regression model for stock predictions 2014A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression 2018Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis 2018A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches

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Year2014

Typearticle

Published2014-10-13

VenueInformation Sciences

ISSN-L0020-0255

Languageen

Citations228

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.ins.2014.09.038

openalex_workW1997994299

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2019

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