/THESIS-MS-Asset-Price-Forecast

This repository is dedicated to my master thesis, in which I forecast Goldman Sachs and General Electric stock prices.

Primary LanguageJupyter Notebook

Asset-Price-Forecasting

This repository is dedicated to my master thesis, in which I forecast Goldman Sachs and General Electric stock prices. Moreoever, I elaborate on time series forecasting and previous works. Lastly, I discuss recurrent neural networks (long-short term memory (LSTM) in particular) in both practical and theoertical pespective.

There are 3 files in this repository:

  1. General Electrics Stock
  • Closing Price: Closing Price of GE is predicted without including any other stock.
  1. Goldman Sachs Stock
  • Closing Prince: Colsing Price of GS is predicted and closing price of two other correlated stocks (JP Morgan and Morgan Stanely) are also used as features.
  • Price Return: Return of GS is predicted and return of two other correlated stocks (JP Morgan and Morgan Stanely) are also used as features.