There are 2 repositories under garch-model topic.
I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.
Python code for pricing European and American options with examples for individual stock, index, and FX options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.
Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."
Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network
Explore TESLA stock price (time-series) using ARIMA & GARCH model.
A dashboard for helping beginners identify trading opportunities through technical analysis, fundamental analysis, and possible future projections.
Python-written project that utilizes Time Series analysis, along with a Linear Regression model, to forecast the price of the Japanese Yen vs. the US Dollar. ARMA, ARIMA, and GARCH forecasting models included, as well as decomposition using the Hodrick-Prescott filter. In-Sample and Out-of-Sample performance metrics used to evaluate Linear Regression model.
Model and replications scripts for the 2020 IMF Working Paper "Foreign Exchange Interventions Rules for Central Banks: A Risk-Based Framework"
Calculation of Value at Risk using Generalized normal distribution, EGARCH and GARCH + EVT
For this project, I used Bitcoin's daily closing market price dataset from Jan 2012 to March 2021 Kaggle. This work's main objective includes explaining how to analyze a time series and forecast its values using ARIMA and GARCH models.
A template for building an advanced Automated High-Frequency Trading (HFT) system. Note: For educational purposes only; customize before deploying in live markets.
Contains financial studies work, including capital markets, corporate finance and other topics.
Code for value-at-risk calculation and backtesting.
Implementation of ARCH and GARCH models with MLOps pipeline on the AWS for deployment and management in a production environment.
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
Developed a forecasting model Hybrid GARCH-ANN By employing Grid Search for NYSE Stock
Using time series tools to predict future movements in the value of the Japanese yen versus the U.S. dollar.
This project uses the many time-series tools (Hodrick-Prescott Filter, ARMA, ARIMA and GARCH models, linear regression, etc.) to predict future movements in the value of the Japanese yen versus the U.S. dollar.
This repo is about forecasting the Yen movements in order to know whether to be long or short.
The project involves the analysis and forecasting of time series on financial data.
This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.
Time series forecasting for Dow Jones Industrial Average using GARCH model
Predicts future movements in the value of the Canadian dollar versus the Japanese yen using Time Series Modelling and Regression Analysis.
Time-series forecasting and linear regression modeling in order to predict future movements in the value of the Japanese yen versus the U.S. dollar.
SP500 index statistical analysis and modeling
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Data Science project for forecasting steel and crude oil prices
This is a course project predicting the price of Bitcoin and some analysis of its variation.
Test the many time-series tools in order to predict future movements in the value of the Canadian dollar versus the Japanese yen.
Test various time-series Models to predict future movements in the value of the Japanese yen versus the U.S. dollar.
Machine Learning & Python in Finance