Module #1 Introduction to Advanced Portfolio Management Overview of the course and importance of portfolio management in investment decisions
Module #2 Review of Portfolio Theory Review of modern portfolio theory, including Markowitz model and efficient frontier
Module #3 Portfolio Optimization Techniques Advanced optimization techniques, including Black-Litterman model and resampling
Module #4 Risk Management Strategies Advanced risk management strategies, including value-at-risk (VaR) and expected shortfall (ES)
Module #5 Asset Allocation and Diversification Advanced asset allocation strategies, including factor-based and risk-parity approaches
Module #6 Equity Portfolio Management Advanced equity portfolio management strategies, including fundamental and quantitative approaches
Module #7 Fixed Income Portfolio Management Advanced fixed income portfolio management strategies, including duration and convexity management
Module #8 Alternative Investments Advanced alternative investment strategies, including hedge funds, private equity, and real assets
Module #9 Currency Risk Management Advanced currency risk management strategies, including hedging and carry trades
Module #10 ESG and Sustainable Investing Advanced ESG and sustainable investing strategies, including impact investing and SDGs
Module #11 Portfolio Construction and Implementation Advanced portfolio construction and implementation techniques, including rebalancing and tax optimization
Module #12 Performance Measurement and Attribution Advanced performance measurement and attribution techniques, including GIPS and composite returns
Module #13 Portfolio Risk Modeling Advanced portfolio risk modeling techniques, including monte carlo simulations and stress testing
Module #14 Regulatory Environment and Compliance Overview of regulatory environment and compliance requirements for portfolio managers
Module #15 Behavioral Finance and Portfolio Management Application of behavioral finance principles to portfolio management, including bias and decision-making
Module #16 Big Data and Machine Learning in Portfolio Management Application of big data and machine learning techniques to portfolio management, including predictive models and sentiment analysis
Module #17 Quantitative Portfolio Management Advanced quantitative portfolio management strategies, including factor models and statistical arbitrage
Module #18 Portfolio Optimization with Python Hands-on implementation of portfolio optimization techniques using Python
Module #19 Advanced Risk Analytics Advanced risk analytics techniques, including credit risk and liquidity risk modeling
Module #20 Stress Testing and Scenario Analysis Advanced stress testing and scenario analysis techniques, including macroeconomic and market stress scenarios
Module #21 Portfolio Management for Institutional Investors Advanced portfolio management strategies for institutional investors, including pension funds and endowments
Module #22 Portfolio Management for Wealth Management Advanced portfolio management strategies for wealth management, including client-centric and goals-based approaches
Module #23 Case Studies in Advanced Portfolio Management Real-world case studies of advanced portfolio management strategies and techniques
Module #24 Portfolio Management in Emerging Markets Advanced portfolio management strategies for emerging markets, including country-specific and regional approaches
Module #25 Course Wrap-Up & Conclusion Planning next steps in Advanced Portfolio Management career