VAR and Local Projections

Forecasting with VAR

Time Series Final Project

Codes for BVHAR Research

Wheat Forecasting using LSTM and VAR

Research project: The Impact of Uncertainty on Monetary Transmission - Evidence from the US

The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would mod…

Analysis scripts and randomly generated data for Suicide and Life-Threatening Behavior paper: 'Identifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method'

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…

Python software & data for analyzing the City of Philadelphia's Five Year Plan

Codebase for Term Paper of course ECON F244: Economics of Growth and Development at BITS Pilani, Pilani campus (Spring '21)

This repository contains a research paper I completed for my Time Series Econometrics class.

Project on Foreign Exchange Forecasting, for the Μ401 - Deep Neural Networks course, NKUA, Fall 2022.

An R package for Bayesian Estimation of Structural Vector Autoregressive Models

Manipulation of time series data and forecast CAD/USD currency using commodities

Utilized sentiment-based features to predict cryptocurrency returns, models used: Random Forest Classifier, Random Forest Regressor, and VAR time-series model

The WasteTrack Time-Series API project is a web application developed to track and visualize waste production over time. It uses Flask, a Python web framework, to build the backend server and provides a user-friendly interface to interact with the waste data.

Estimação de modelos VAR(3) e VAR(10) para 91 países no período de 1960 a 2019, a fim de testar a causalidade de Granger entre as variáveis de Poupança Interna Bruta e crescimento do Produto Interno Bruto per capita.

Convenient functions to generate multivariate time series in the vector autoregressive framework.