Econometrics: Eviews and Risk Simulator Training Course

Introduction

General Econometrics Concepts

• Grasping the foundational principles of Econometrics.
• Exploring variables and measurement techniques.
• Reviewing probability theory and confidence levels.
• Examining statistical inference and percentiles.
• Studying theoretical probability distributions.
• Applying significance tests and confidence interval methods.
• Handling data asymmetry.
• Analyzing kurtosis.
• Utilizing ANOVA.

Regression Analysis

• Core concepts of regression.
• Explaining linear regression.
• Executing regression estimation.
• Conducting regression inference.
• Clarifying statistical assumptions.
• Testing for assumption violations and their implications.
• Identifying spurious regression.
• Interpreting various regression models.
• Applying variable transformations.
• Interpreting regression coefficients.
• Comparing linear and non-linear regression models.

Time Series Analysis

• Key components of time series data.
• Various decomposition methods.
• Analyzing trends, cycles, and seasonality.
• Running stationarity tests.
• Reading graphs and correlograms.
• Performing unit root tests.
• Transforming non-stationary time series data.
• Understanding stationary processes.
• Managing complex transformations within models.
• Forecasting economic indicators and time series.

Neural Networks

• Core concepts and methodologies of neural networks.
• Architecture of neural networks.
• Introduction to machine learning.
• Comparing supervised and unsupervised learning.
• Distinguishing between machine learning and econometrics.

Financial Risk Modeling

• Quantifying risks.
• Assessing probability of occurrence.
• Interpreting the coefficient of variation.
• Calculating risk-adjusted capital.

Markov Chains and Monte Carlo Simulation

• Fundamentals of simulation and modeling.
• Analyzing fits and probability distributions.
• Building simulation profiles.
• Managing random and outcome variables.

Project Evaluation

• Establishing project selection criteria.
• Understanding demand elasticity.
• Assessing economic feasibility of projects.
• Conducting risk breakeven analysis.
• Analyzing net cash flows.
• Applying analytical tools.
• Performing stress testing.

Conclusion and Recommended Next Steps