Econometrics: Eviews and Risk Simulator Training Course

Introduction

Core Econometric Concepts

• Grasping fundamental econometric principles
• Comprehending variables and measurement metrics
• An introduction to probability and confidence levels
• Statistical inference and percentile analysis
• Theoretical probability distributions
• Significance testing and confidence interval methodologies
• Handling asymmetry in data
• Analyzing Kurtosis
• ANOVA techniques

Regression Analysis

• Core principles of regression
• Explaining linear regression
• Techniques for regression estimation
• Inference in regression models
• Review of key statistical assumptions
• Testing for assumption violations and their implications
• Identifying spurious regression
• Evaluating different regression models
• Variable transformation techniques
• Interpretation of coefficients
• Linear and non-linear regression frameworks

Time Series Analysis

• Identifying components of time series data
• Various decomposition methods
• Analyzing trends, cycles, and seasonality
• Conducting stationarity tests
• Interpreting graphs and correlograms
• Executing unit root tests
• Transforming non-stationary time series
• Understanding stationary processes
• Handling complex model transformations
• Economic and time series forecasting techniques

Neural Networks

• Concepts and methodologies behind neural networks
• Structural composition of neural networks
• An overview of machine learning
• Comparing supervised and unsupervised learning
• Machine learning versus econometrics

Financial Risk Modeling

• Metrics for measuring risk
• Assessing probability of occurrence
• Understanding the coefficient of variation
• Risk-adjusted capital calculations

Markov Chains and Monte Carlo Simulation

• Principles of simulation and modeling
• Distributions of fits and probabilities
• Profile creation techniques
• Random variables and outcome variables

Project Evaluation

• Establishing project selection criteria
• Understanding demand elasticity
• Assessing economic feasibility
• Risk breakeven analysis
• Interpreting net flows
• Application of analytical tools
• Stress analysis methods

Summary and Next Steps