Lessons
- Lecture 1: Macroeconomics Vs. Microeconomics, and Economic Modelling
- Lecture 2: What is Macroeconomics and What Macroeconomists Do?
- Lecture 4: Savings and Wealth
- Lecture 5: Interest Rates, Production Function, Employment
- Lecture 6: Monetary Economics
- Lecture 7: Demand, Supply and Equilibrium
- Lecture 8: Money, Economic Growth and Inflation
- Lecture 9: Supply of Money and Concept of Inflation
- Lecture 10: Factors Determining Money Demand
- Lecture 11: Introduction to Commercial Banking
- Lecture 12: Deposit Banking
- Lecture 13: Credit Expansion, Bank Runs, and Deposit Drains
- Lecture 14: Introduction to Central Banking
- Lecture 15: Tools of Monetary Policy
- Lecture 16: Credit Expansion, Government Deficits, and Debt Monetization
- Lecture 17: Negative Effects of Inflation
- Lecture 18: Effects of Inflation, Production and Capital
- Lecture 19: Capital and Production, and How Saving and Interest Drive Consumption
- Lecture 20: Economic Growth
- Lecture 21: Business Cycles - Part 1
- Lecture 22: Business Cycles - Part 2
- Lecture 23: Business Cycles - Part 3
- Lecture 24: Business Cycles - Part 4
- Lecture 25: Fiscal Policy
Lecture 5: Interest Rates, Production Function, Employment
This is the fourth lecture in a university course at the American University in Bulgaria in introductory macroeconomics. It covers the concepts of interest rates, production function, and employment from Bernanke's Macroeconomics textbook.
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)JOIN 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.
