There are 3 repositories under cointegration topic.
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
A repository to explore the concepts of applied econometrics in the context of financial time-series.
C# Console Application: Asks for two files containing historical financial data in the same format as files from Yahoo Finance. Performs the two-step Engel-Granger Test for Cointegration and simulates profits of applying the Pairs Trading Strategy to these stocks. To Project further Includes code to conduct statistical inference and a Function to perform the Augmented Dickey-Fuller Test for stationarity of a time series, which is part of the Engel-Granger Test for cointegration.
Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]
Beer national sales forecasting
Implementations of various trading strategies
Shiny app deployed on shinyapps.io and embedded in an R package for easy install where I explore the cointegrating relationship among LIBOR interbank rates
R finance guide - Algotrading101
An R package to implement VEC models
pair trading(stat arb), July 2017
On-going project: I will be implementing a combination of pairs trading strategies in attempt to see which type performs best after backtesting. The main ideas involve cointegration, kalman filter, copulas, and machine learning approaches. Since it is a market-neutral strategy, we will analyse the performance on its alpha rather than sharpe ratio.
This repository contains the do-files for all my statistical analyses published in Twitter or elsewhere.
Statsmodels: statistical modeling and econometrics in Python
Current repository depicts R usability for time series modeling. Number of scripts represents preprocessing time series, modeling AR, MA, ARIMA with seasonality, ARCH, GARCH, VAR, VECM including statistical testing process and robust check.
Applying Kejriwal and Perron test which is implemented in the R `strucchange` package to find cointegration breakpoints
A co-integration analysis that focuses on analyzing different factors affecting Bitcoin's price
Pairs Trading screening with cointegration in R
Statistical analysis with R by using financial data
La relación a largo plazo y la causalidad entre las exportacioens mineras, la producción industrial y el crecimiento económico en Perú: Un estudio de caso utilizando un modelo VEC
Non-Linear Cointegration in Pairs Trading