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Justin Eloriaga
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Published in Towards Data Science

·Oct 8, 2020

Long Run Linkages: A Briefer on the Johansen Cointegration Methodology

Can economic variables have a long-run relationship? Yes! — Motivation behind Cointegration In Economics, there are numerous variables that may appear non-stationary on the outset but when a linear combination of these non-stationary series is made, the linear combination may be described as stationary. While most economists think that Cointegration is some deep theoretical construct, the definition is actually the first sentence…

Econometrics

5 min read

Long Run Linkages: A Briefer on the Johansen Cointegration Methodology
Long Run Linkages: A Briefer on the Johansen Cointegration Methodology

Published in Towards Data Science

·Jun 22, 2020

Searching for the Best Forecasting Model: A Comparison of Different Univariate Forecasting Models

The easiest, most comprehensive guide to univariate forecasting using AR, MA, ARIMA, and SARIMA. — Forecasting may be a daunting challenge, especially to those with only a few or no backrgound in statistics. But I think it is much easier that people think it is. In this article, I will go through the basic univariate forecasting models and forecast a variable with relative ease. The Basic Models There…

Forecasting

18 min read

Searching for the Best Forecasting Model: A Comparison of Different Univariate Forecasting Models
Searching for the Best Forecasting Model: A Comparison of Different Univariate Forecasting Models

Published in Towards Data Science

·Jun 18, 2020

A Deep Dive on Vector Autoregression in R

Let the data speak! Let us purge a-priori expectations. — What is a VAR? Christopher Sims proposed the Vector Autoregression which is a multivariate linear time series model in which the endogenous variables in the system are functions of the lagged values of all endogenous variables. This allows for a simple and flexible alternative to the traditional structural system of equations. A VAR could…

Vector Autoregression

13 min read

A Deep Dive on Vector Autoregression in R
A Deep Dive on Vector Autoregression in R

Published in Level Up Coding

·Jun 17, 2020

Introduction to the Structural Vector Autoregression

The Structural Vector Autoregression is a very flexible tool especially for the analysis of policy actions on the real economy. Overview The structural VAR is a variation of the unrestricted VAR model which is a way to forecast multiple variables in a system. …

Structural Var

8 min read

Structural Vector Autoregression in R
Structural Vector Autoregression in R

Published in Analytics Vidhya

·Jun 17, 2020

Forecasting Bitcoin Prices using Prophet in R

Forecasting can be quite daunting, especially given the knowledge required to be able to identify forecasting strategies which may involve heavy concepts with a rigorous mathematical underpinning. Fortunately, the bright devs over at Facebook developed a simple forecasting library called Prophet which makes even a forecasting newbie look like a…

Data Science

3 min read

Forecasting Bitcoin Prices using Prophet in R
Forecasting Bitcoin Prices using Prophet in R
Justin Eloriaga

Justin Eloriaga

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