CFA^® Level II Exam

Examine linear regression with independent variables and time-series analysis. Explore machine learning techniques and their application. Discuss big data projects.

A discussion of currency exchange rates. Explore international parity conditions and the carry trade. Consider direct/indirect exchange rate influencers; theories of economic growth and its relationship to investment returns; and economic regulations.

A discussion of financial reporting and analysis for company investments, post-employment benefits, and foreign currency transactions. Learn to evaluate financial institutions and financial reports. Conclude with case studies and financial statement modeling.

Discuss dividend and share repurchases policies. Discuss ESG considerations in investment analysis as well as mergers and acquisitions. Learn to estimate the cost of capital. Conclude with the corporate restructuring process.

A discussion of value and equity valuation techniques, covering key return measures. Learn to forecast model inputs and consider discounted cash flow valuation models, focused on the dividend discount model. Conclude with private company valuation.

An introduction to the yield curve and an arbitrage-free framework for valuing bonds. Use the binomial valuation method for bonds with embedded options, consider credit analysis models, and conclude by discussing credit default swaps.

An introduction to valuation concepts and models for forward commitments (forwards, futures, swaps) and contingent claims (options). Discuss option Greeks, which measure sensitivity to a change in valuation inputs. Conclude with option strategies.

An examination of commodities and commodity derivatives. Explore the methods for analysis and evaluation of real estate investments, as well as hedge fund strategies.

A discussion of portfolio management, multifactor models, value at risk, and risk measurement and management. Analyze active portfolio management. Consider ties between the economy and financial markets. Conclude with algorithmic and high-frequency trading.

An exploration of ethics in the investment profession. Through case studies, we illustrate practical application of the Code of Ethics and Standards of Professional Conduct. Conclude with real-world violations with resulting regulatory actions.

Examine linear regression with independent variables and time-series analysis. Explore machine learning techniques and their application. Discuss big data projects.

A discussion of currency exchange rates. Explore international parity conditions and the carry trade. Consider direct/indirect exchange rate influencers; theories of economic growth and its relationship to investment returns; and economic regulations.

A discussion of financial reporting and analysis for company investments, post-employment benefits, and foreign currency transactions. Learn to evaluate financial institutions and financial reports. Conclude with case studies and financial statement modeling.

Discuss dividend and share repurchases policies. Discuss ESG considerations in investment analysis as well as mergers and acquisitions. Learn to estimate the cost of capital. Conclude with the corporate restructuring process.

A discussion of value and equity valuation techniques, covering key return measures. Learn to forecast model inputs and consider discounted cash flow valuation models, focused on the dividend discount model. Conclude with private company valuation.

An introduction to the yield curve and an arbitrage-free framework for valuing bonds. Use the binomial valuation method for bonds with embedded options, consider credit analysis models, and conclude by discussing credit default swaps.

An introduction to valuation concepts and models for forward commitments (forwards, futures, swaps) and contingent claims (options). Discuss option Greeks, which measure sensitivity to a change in valuation inputs. Conclude with option strategies.

An examination of commodities and commodity derivatives. Explore the methods for analysis and evaluation of real estate investments, as well as hedge fund strategies.

A discussion of portfolio management, multifactor models, value at risk, and risk measurement and management. Analyze active portfolio management. Consider ties between the economy and financial markets. Conclude with algorithmic and high-frequency trading.

An exploration of ethics in the investment profession. Through case studies, we illustrate practical application of the Code of Ethics and Standards of Professional Conduct. Conclude with real-world violations with resulting regulatory actions.