Main Reference PaperForecasting the Volatility of Stock Price Index: A Hybrid Model Integrating LSTM with Multiple GARCH-Type Models, Expert Systems With Applications, 2018 [Java/Python/R]
  • In order to predict the volatility of the stock market, the proposed method integrates the long short-term memory (LSTM) model with the Generalized AutoRegressive Conditional Heteroscedasticity (GARCH)-type models that effectively support the volatility clustering.

+ Description
  • In order to predict the volatility of the stock market, the proposed method integrates the long short-term memory (LSTM) model with the Generalized AutoRegressive Conditional Heteroscedasticity (GARCH)-type models that effectively support the volatility clustering.

  • To forecast the stock market volatility

  • To improve the predictive performance

+ Aim & Objectives
  • To forecast the stock market volatility

  • To improve the predictive performance

  • The effective addressing of variables is essential for the complex market condition

+ Contribution
  • The effective addressing of variables is essential for the complex market condition

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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