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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

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