
- Instructor: Sandra Stein
- Lectures: 35
- Students: 980400
- Duration: 10 weeks
The content of course offers a comprehensive overview of statistical and quantitative methods applied to finance, focusing heavily on regression analysis, including simple, multiple, and robust regressions, along with techniques for managing time series data and volatility. Key topics detailed include the assumptions and applications of linear regression models, methods for measuring and forecasting risk such as tracking error, advanced techniques like quantile regressions, and dimensional reduction tools such as factor analysis and principal components analysis (PCA). The text also covers various estimation methods (Least Squares, Maximum Likelihood) and the importance of model selection criteria (AIC and BIC) while cautioning against biases like data snooping.
The Basics of Financial Econometrics Course is based on textbook learning material by Academy Europe.
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Audience
This course by Academy Europe aims at imparting quality education and training to students.
Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.
This course is directed toward a student-centered, independent study, asynchronous learning approach.
After completing this course on Academy Europe, students will get self improvement and promotion in their careers.
This course is based on at least two learning skills which are provided to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.
Prerequisites
Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.
Ideal candidates for the course would typically possess:
– Discipline and attentiveness
– Ability to conduct research
– Ability to perform tasks with speed, efficiency, and accuracy
– Analytical judgment
– Patience to interpret technical/scientific data
– A willingness to learn, roll up your sleeves and work toward your dream!
– A computer, tablet or smartphone and an internet connection
– Basic computer skills
Curriculum
- 7 Sections
- 35 Lessons
- 10 Weeks
- Introduction1
- Decoding Finance: A Beginner's Guide to Essential Statistical Concepts5
- Briefing Document: Key Concepts in Financial Econometrics5
- Investment Proposal: The Axiom Quantitative Equity Strategy8
- 4.11.0 Introduction: The Quantitative Imperative in Modern Markets
- 4.22.0 Investment Philosophy: Extracting Signal from Noise
- 4.33.0 The Core Engine: Multi-Factor Econometric Modeling
- 4.44.0 Our Process: A Disciplined Framework for Alpha Generation
- 4.55.0 Methodological Edge: Ensuring Model Robustness
- 4.66.0 Risk Management: A Quantitative Approach to Capital Preservation
- 4.77.0 The Investment Team
- 4.88.0 Conclusion: A Partnership for Superior Risk-Adjusted Returns
- A Methodological Framework for Quantitative Portfolio Management6
- 5.11.0 Introduction to Our Econometric Approach
- 5.22.0 Foundational Technique: Multiple Linear Regression for Return and Style Analysis
- 5.33.0 Advanced Risk Management: Dynamic Volatility Forecasting with GARCH Models
- 5.44.0 Deeper Insights: Quantile Regression for Tail Risk and Asymmetric Relationships
- 5.55.0 Framework for Model Validation and Implementation
- 5.66.0 Conclusion: A Disciplined and Evolving Methodology
- Decoding the Market: How a Simple Line Can Predict Stock Movements6
- 6.11. The Big Question: Do Stocks Move Together?
- 6.22. What Is Linear Regression? The Art of Drawing the “Best” Line
- 6.33. Meet Beta (β): A Stock’s “Volatility Score”
- 6.44. What About the Other Numbers? Alpha (α) and R-Squared (R²)
- 6.55. Why This “Magic Line” Matters to Investors
- 6.66. Conclusion: A Simple Tool for a Complex World
- Financial Econometrics Study Guide4
Requirements
- Discipline and attentiveness
- Ability to conduct research
- Ability to perform tasks with speed, efficiency, and accuracy
- Analytical judgment
- Patience to interpret technical/scientific data
- A willingness to learn, roll up your sleeves and work toward your dream!
- A computer, tablet or smartphone and an internet connection
- Basic computer skills
Features
- Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.
Target audiences
- This course by Academy Europe aims at imparting quality education and training to students.
- Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.
- This course is directed toward a student-centered, independent study, asynchronous learning approach.
- After completing this course on Academy Europe, students will get self improvement and promotion in their careers.
- This course is based on at least two learning skills which are provided to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.