Economic Impact of Federal Reserve Speeches and Press Releases
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Updated
May 5, 2019 - Jupyter Notebook
Economic Impact of Federal Reserve Speeches and Press Releases
Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.
Unit root tests, ARIMAX, GARCH models for the time being
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Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.
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Here we have considered a data set where we are seeing the number of air Passengers per month. We have applied time series analysis technique to predict the future passenger details. We used both ARIMAX and SARIMAX technique to predict.
Forecast NYC taxi activity with deep learning. We compare the performances of models based on MLPs, RNNs, LSTMs, GNNs, and ARIMAX. Additionally, our code provides users with an easy-to-use pipeline for producing custom time series datasets of taxi activity from publicly available NYC TLC data.
Time Series Analysis of Macro Economic Parameters using Vector Auto Regression Model
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Forecasting Time Series courses
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
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