Econometrics: Eviews and Risk Simulator Training Course

Introduction

General Econometrics Concepts

• Grasping the basic concepts of Econometrics
• Understanding variables and measures
• Overview of probability and confidence levels
• Statistical inference and percentiles
• Theoretical probability distributions
• Significance testing and confidence interval methods
• Handling asymmetry
• Kurtosis
• ANOVA

Regression Analysis

• Core concepts of regression
• Understanding linear regression
• Regression estimation
• Regression inference
• Comprehending statistical assumptions
• Implications testing for assumption violations
• Understanding spurious regression
• Comprehending regression models
• Transforming variables
• Interpreting coefficients
• Linear and non-linear regression models

Time Series Analysis

• Components of time series
• Various decomposition methods
• Understanding trends, cycles, and seasonality
• Conducting stationarity tests
• Interpreting graphs and correlograms
• Performing unit root tests
• Transforming non-stationary time series
• Stationary processes
• Comprehending complex model transformations
• Economic and time series forecasting

Neural Networks

• Comprehending neural network concepts and methodology
• Neural network composition
• Overview of machine learning
• Supervised versus unsupervised learning
• Machine learning versus econometrics

Financial Risk Modeling

• Measuring risks
• Probability of occurrence
• Comprehending the coefficient of variation
• Risk-adjusted capital

Markov Chain and Monte Carlo Simulation

• Comprehending the concepts of simulation and models
• Distribution of fits and probability
• Creating profiles
• Random and outcome variables

Project Evaluation

• Defining project selection criteria
• Understanding the elasticity of demand
• Economic feasibility of projects
• Risk breakeven analysis
• Understanding net flow
• Utilizing analytical tools
• Stress analysis

Summary and Next Steps