Implementation of the Ritchken-Trevor algorithm to price American put options

Performing Time Series analysis using R kernel and Jupyter.

Notebooks on different kinds of Time Series analysis using Python

Time series and regression project. Tools and Models Explored: Times Series Analysis, Linear Regression, ARMA Model, ARIMA Model, and GARCH Model

Time series analysis forecasting

Predicting future movements in the value of Future contract for Japanese yen to U.S. dollar based on historical data. Time Series forecasting and Linear Regression Modeling performed.

A fork of Cronos with a focus on being a Time Series class library.

Aplicación de distintos modelos de series temporales a las salidas de pasajeros del Aeropuerto de Menorca.

The time-series tools (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.

MSc Finance dissertation project at Newcastle University. This project focused on forecasting the volatility of exchange rates involving the Great British Pound using EWMA, GARCH-type and Implied Volatility models.

Microsoft's closing stock price prediction by ARIMA, Decision Tree and GARCH models in R Studio

Time Series Project in R

Use ARMA, ARIMA, and GARCH models in order to predict future movements in the value of the Japanese yen versus the U.S. dollar.

This repository holds 2 Jupyter notebooks and one csv file on Time Series analysis for the A Yen for the Future exercises. The purpose of this code is to demonstrate understanding of time series work in Python: ARMA, ARIMA and related concepts.

Undergraduate Final Project on behalf of Radisha Fanni Sianti

NumXL SDK

Time series forecasting for Dow Jones Industrial Average using GARCH model

An analysis of the use of garch models to predict future volatility of United States Treasury Yields