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Course Outline
Introduction
General Econometrics Concepts
- Grasping the fundamental concepts of Econometrics
- Understanding variables and measurement methods
- 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
- Core concepts of regression
- Understanding linear regression
- Regression estimation techniques
- Regression inference
- Comprehending statistical assumptions
- Assumption violations and implications testing
- Understanding spurious regression
- Familiarity with regression models
- Transforming variables
- Interpreting coefficients
- Linear and non-linear regression models
Time Series Analysis
- Components of time series data
- 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
- Understanding complex transformations in models
- Economic and time series forecasting
Neural Networks
- Understanding neural network concepts and methodologies
- Neural network structure and composition
- Overview of machine learning
- Supervised versus unsupervised learning
- Comparing machine learning and 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 concepts of simulation and modeling
- Distribution of fits and probability
- Creating profiles
- Random and outcome variables
Project Evaluation
- Defining project selection criteria
- Understanding the elasticity of demand
- Assessing project economic feasibility
- Risk breakeven analysis
- Understanding net flow
- Utilizing analytical tools
- Stress analysis
Summary and Next Steps
Requirements
- Basic knowledge of econometrics
Target Audience
- Economists
- Statisticians
21 Hours
Testimonials (1)
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