What you'll get
  • 2+ Hours
  • 1 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Provides comprehensive training on Univariate Time Series Modeling.
  • Explains the understanding and implementation of correlograms.
  • Covers correlogram analysis, estimation output interpretation, and result evaluation.
  • Guides learners on interpreting ARMA models effectively.

Content

Courses No. of Hours Certificates Details
EViews:05 - Univariate Time Series Modeling2h 23m✔View Curriculum

Description

This course on Univariate Time Series Analytics and Econometric Modeling with EViews provides comprehensive training in quantitative and predictive modeling, with a particular focus on financial markets. It covers both theoretical concepts and practical datasets, enabling learners to analyze, interpret, and predict time-series data effectively.

Participants will gain practical experience with regression models, autocorrelation, cointegration, and ARCH (Autoregressive Conditional Heteroskedasticity) models. The course uses real-time examples to explain observations, interpretations, and conclusions, reinforcing hands-on learning.

EViews, a Windows-based statistical software package developed by Quantitative Micro Software (now part of IHS), is used extensively for this training. Known for combining spreadsheet and database technology within a GUI, EViews supports a wide range of statistical and econometric analyses, including cross-section, panel, and time-series data. It also integrates with programming languages and supports various data formats, including CSV, XLS, SPSS, SAS, Stata, RATS, and TSP, as well as ODBC database connections.

The course equips learners with the skills to perform advanced time-series analytics and econometric modeling efficiently, making it ideal for professionals aiming to strengthen their data analysis capabilities in finance and related sectors.

Requirements

  • Basic knowledge of quantitative methods and MS Office.
  • Familiarity with data analysis and the VBA toolpack in MS Excel is beneficial.

Target Audience

  • Students aiming to build strong analytical skills.
  • Quantitative and econometrics modelers looking to enhance modeling capabilities.
  • Finance professionals seeking to strengthen data analysis and modeling expertise.