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Course Outline

Introduction

Core Econometrics Concepts

  • Grasping the basic 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
  • Handling asymmetry
  • Kurtosis
  • Analysis of Variance (Anova)

Regression Analysis

  • Fundamental concepts of regression
  • Comprehending linear regression
  • Estimation techniques in regression
  • Regression inference
  • Understanding statistical assumptions
  • Addressing violations of assumptions and their implications
  • Comprehending spurious regression
  • Understanding various regression models
  • Transforming variables
  • Interpreting coefficients
  • Linear and non-linear regression models

Time Series Analysis

  • Key components of time series
  • Various decomposition methods
  • Comprehending 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

  • Comprehending neural network concepts and methodology
  • Structure of neural networks
  • Overview of machine learning
  • Supervised vs. unsupervised learning
  • Machine learning compared to econometrics

Financial Risk Modeling

  • Measuring risks
  • Probability of occurrence
  • Understanding the coefficient of variation
  • Capital requirements for risk adjustment

Markov Chain and Monte Carlo Simulation

  • Comprehending the concept of simulation and modeling
  • Distribution fitting and probability
  • Creating profiles
  • Random and outcome variables

Project Evaluation

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

Summary and Next Steps

Requirements

  • A foundational understanding of econometrics

Target Audience

  • Economists
  • Statisticians
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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