GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.

By combining GARCH(1,1) and LSTM model implementing predictions.

The Tidymodels Extension for GARCH models

A repository to explore the concepts of applied econometrics in the context of financial time-series.

Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.

Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.

A stock price prediction model based on ARMA and GARCH

使用经典的AR、MA、ARMA、ARIMA、ARCH、GARCH时间序列模型进行模型的检验和拟合。The classic AR, MA, ARMA, ARIMA, ARCH, GARCH time series models are used to test and predict the model.

In this project, this research generally investigates the financial time series such as the price & return of NASDAQ Composite Index using ARIMA and GARCH methods.

Python code for rolling Value at Risk(VaR) of fiancial assets and some of economic time series, based on the procedure proposed by Hull & White(1998).

Unit root tests, ARIMAX, GARCH models for the time being

The aim of this project is to help stocktraders determine suitable stock to enter by helping them keep track of its daily volatility and returns. The user selects a particular stock option which is automatically gotten from an API and stored in a sqlite database. using Garch(1,1) model to forecast volatility. fastapi and dash is used for deployment

Study on volatility transmission and protuberance among developed and developing stock markets using multivariate GARCH

MATH-342 Time Series course taken at EPFL during Spring 17-18.

Project in Statistics: Timeseries analysis (STAH14) at Lund University. The project it about Bitcoin price and returns, modelled using an AR-GARCH model.

Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.

Code for the case studies and theoretical visualizations for the master thesis 'Estimation and Backtesting of the Expected Shortfall and Value at Risk using Vine Copulas'

Learned time series analysis from Quantstart

Applied Regression and Time Series for Financial Research