Hybrid ARIMA-GARCH Model for Stock Prediction
Budget: $30 – $250 SGD
I'm seeking a professional who can construct a hybrid model to predict stock price directions. The model should primarily utilize statistical techniques like ARIMA and GARCH, complemented with machine learning and Graph Theory techniques.
Key Requirements:
- Develop a hybrid model that amalgamates ARIMA, GARCH, with machine learning techniques such as LSTM and Graph Theory.
- Thoroughly document the process and provide a comprehensive explanation of how each component contributes to the model's performance.
- Implement the model using Excel macros.
- Evaluate the model's performance primarily using the Root Mean Squared Error (RMSE).
Ideal Skills:
- Proven expertise in statistical techniques, specifically ARIMA and GARCH.
- Proficient in using Excel macros for complex data analysis and modelling.
- Familiar with machine learning methods, particularly LSTM.
- Knowledgeable in Graph Theory techniques.
- Exceptional ability to clearly document and explain complex processes and concepts.
Key Requirements:
- Develop a hybrid model that amalgamates ARIMA, GARCH, with machine learning techniques such as LSTM and Graph Theory.
- Thoroughly document the process and provide a comprehensive explanation of how each component contributes to the model's performance.
- Implement the model using Excel macros.
- Evaluate the model's performance primarily using the Root Mean Squared Error (RMSE).
Ideal Skills:
- Proven expertise in statistical techniques, specifically ARIMA and GARCH.
- Proficient in using Excel macros for complex data analysis and modelling.
- Familiar with machine learning methods, particularly LSTM.
- Knowledgeable in Graph Theory techniques.
- Exceptional ability to clearly document and explain complex processes and concepts.