- CFA Level 2: Economics - Introduction
- Economic Growth
- Changes in Productivity: The One-Third Rule
- The Productivity Curve
- Economic Growth Theories
- Government Regulation, Deregulation, and Regulatory Behaviour
- Gross Domestic Product (Measuring Economic Activity)
- International Trade & Trade Restrictions
- Balance of Payments
- Foreign Exchange Rate Systems and Parity Relationships
- Foreign Exchange Floating Rate Systems
- Fixed Exchange Rate Systems
- Overview of Currency Markets
- Forward Exchange Rates
- Interest Rate Parity
- Purchasing Power Parity (PPP)
- International Fisher Relation
- Uncovered and Covered Interest Rate Parity Relationship
- Forecasting Exchange Rates
- CFA Level 2 Economics – Recommendations
Forecasting Exchange Rates
An analyst can apply the Absolute PPP theory (Purchasing Power Parity) of exchange rates to measure a currency’s fundamental value, by comparing the real cost of like goods across different countries.
An analyst can apply the Relative PPP theory of exchange rates to forecast currency values, if the analyst has strong insights into inflation expectations for these countries over the period of time in question.
An analyst can look at a country’s balance of payments to make inferences about the future strengthening or weakening of a currency. Theoretically, when the official reserve account shows a negative balance, the country is likely acquiring foreign assets and the currency should be strong.
An analyst can also track a country’s monetary policy to make short and long term inferences about interest rates and inflation. This is called the asset markets approach.
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)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.