Econometrics: Eviews and Risk Simulator Training Course

Introduction

General Econometrics Concept

• Understanding the core concepts of Econometrics
• Comprehending variables and measurements
• Overview of probability and confidence levels
• Statistical inference and percentiles
• Theoretical probability distributions
• Significance testing and confidence interval methods
• Working with asymmetry
• Kurtosis
• Anova

Regression Analysis

• Concepts of regression
• Understanding linear regression
• Regression estimation
• Regression inference
• Understanding statistical assumptions
• Examining violations of assumptions and implications testing
• Understanding spurious regression
• Understanding 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
• Performing stationarity tests
• Interpreting graphs and correlograms
• Performing unit root tests
• Transforming non-stationary time series
• Stationary processes
• Understanding complex transformations in the model
• Economic and time series forecasting

Neural Networks

• Understanding neural network concepts and methodology
• Neural network composition
• Overview of machine learning
• Supervised vs. unsupervised learning
• Machine learning vs. econometrics

Financial Risk Modeling

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

Markov Chain and Monte Carlo Simulation

• Understanding the concept of simulation and models
• Distribution fitting and probability
• Creating profiles
• Random and outcome variables

Evaluating a Project

• Defining project selection criteria
• Understanding the elasticity of demand
• Project economic feasibility
• Risk breakeven analysis
• Understanding net cash flow
• Using analytical tools
• Stress analysis

Summary and Next Steps