Finding Cointegrated Crypto Pairs with Binance API
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Updated
May 31, 2021 - Jupyter Notebook
Finding Cointegrated Crypto Pairs with Binance API
This project is about energy efficiency and renewable energy topic. Developed multivariate time series model to forecast global warming. Analyzed various causes of global warming including energy consumption, emissions; examined correlation and causality of temperature, CO2 concentration, population time series. Discovered the logical connection…
Supporting code for UvA Masters of Quantitative Finance thesis in CDS/Bonds arbitrage trading
This repository of codes includes in the R and Python programs used in the six chapters of my published book titled "Analysis and Forecasting of Financial Time Series: Selected Cases". The book is published by Cambridge Scholars Publishing, New Casle upon Tyne, United Kindoam, in 2022.
The code lets you create, plot, estimate Vector Error Correction Models on FANG stocks.
Tanulmányomban az egy főre eső GDP és munkanélküliség teljes termékenységi arányszámra gyakorolt hatását elemzem. A választott eszközök között szerepel az Engel-Granger kointegrációs teszt, amellyel megerősítettem a hipotézist, hogy szomszédos országok termékenységi rátájának alakulása általában nagyobb egyezőséget mutat, melynek magyarázata leh…
Time series preprocessing. (G)ARCH, VECM, VAR modeling on stock data.
This project aims to delve into the intricate relationships between Foreign Direct Investment (FDI), government debt, and Gross Domestic Product (GDP) using a detailed empirical analysis.
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