Lessons
- Corporate Finance Lecture 1 - Introduction
- Corporate Finance Lecture 2: Shareholders and Management
- Corporate Finance Lecture 3: Corporate Governance
- Corporate Finance Lecture 4: Conflicts of Interest
- Corporate Finance Lecture 5: Risk and Return
- Corporate Finance Lecture 6: Estimating Inputs for CAPM
- Corporate Finance Lecture 7: Estimating Risk
- Corporate Finance Lecture 8: All About Estimating Beta
- Corporate Finance Lecture 9: Beta and Cost of Equity
- Corporate Finance Lecture 10: Estimating Cost of Debt
- Corporate Finance Lecture 11: Calculating Cost of Capital
- Corporate Finance Lecture 12: Measuring Returns
- Corporate Finance Lecture 13: NPV, IRR, and ROE
- Corporate Finance Lecture 14: Equity Analysis, Acquisitions and Projects
- Corporate Finance Lecture 15: Project Side Costs and Benefits
- Corporate Finance Lecture 16: Project Choices and the Financing Decision
- Corporate Finance Lecture 17: Debt Tradeoff, Miller-Modigliani Theorem, Optimal Financing Mix
- Corporate Finance Lecture 18: Cost of Capital as Optimizing Tool
- Corporate Finance Lecture 19: Optimal Financing Mix
- Corporate Finance Lecture 20: Designing the Perfect Debt
- Corporate Finance Lecture 21: The Dividend Policy (Part 1)
- Corporate Finance Lecture 22: The Dividend Policy (Part 2)
- Corporate Finance Lecture 23: The Dividend Policy (Part 3)
- Corporate Finance Lecture 24: Valuation and Estimating Inputs
- Corporate Finance Lecture 25: Valuation (Continued)
- Corporate Finance Lecture 26: Course Review
Corporate Finance Lecture 7: Estimating Risk
This video is a part of online course on Corporate Finance by Professor Aswath Damodaran of NYU.
This video discusses:
- Estimating Beta
- Estimating Performance
- Firm Specific and Market Risk
- Choosing the Parameters
- Jensen's Alpha
- The Dirty Secret of Standard Error
- Relevance of R Squared
Finance Train Premium
Accelerate your finance career with cutting-edge data skills.
Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.
I WANT TO JOINJOIN 30,000 DATA PROFESSIONALS
Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.