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 25: Fiscal Policy
This lecture provides an introduction to the fiscal policy. it covers government spending and revenues such as taxation. This is the last lecture in this tutorial.
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.
