1. Basics of portfolio management: risk reduction through diversification, investment clients, steps in the portfolio management process, and pooled investments.
2. Basic characteristics in portfolio management: assets and portfolio returns, variance and covariance.
3. Basic characteristics in portfolio management: the concept of risk aversion, utility function, and its application in portfolio selection.
4. Portfolio selection: the feasible and efficient set of portfolios, optimal portfolio, minimum-variance portfolio, and tangential portfolio.
5. Capital Asset Pricing Model (CAPM): a portfolio of risk-free asset and risky assets, the capital market line, systematic risk and idiosyncratic risk, calculation of beta, assumptions of CAPM and its applications, limitations, and extensions.
6. Investment strategies: value investing, growth investing, income investing, momentum investing, and their implementation in portfolio management, as well as ESG investing.
7. Portfolio planning: investment policy statement, portfolio construction, and portfolio rebalancing.
8. Basics of risk management: risk management process, enterprise view of risk governance, risk identification, and risk drivers.
9. Basics of risk management: taxonomy of risks, tools, and practices for portfolio risk management.
10. Measuring portfolio risk: coherent risk measures, risk metrics, variance, semivariance, Value at Risk (VaR), and Conditional Value at Risk (CVaR).
11. Measuring portfolio performance: compound Annual Growth Rate (CAGR), maximum drawdown, and performance ratios.
12. Fintech in investment management: definition of fintech, big data, machine learning and artificial intelligence (AI), data science, and information extraction from big data.
13. Fintech in investment management: distributed ledger technology and its potential applications.
14. Selected applications of fintech in investment management.
2. Basic characteristics in portfolio management: assets and portfolio returns, variance and covariance.
3. Basic characteristics in portfolio management: the concept of risk aversion, utility function, and its application in portfolio selection.
4. Portfolio selection: the feasible and efficient set of portfolios, optimal portfolio, minimum-variance portfolio, and tangential portfolio.
5. Capital Asset Pricing Model (CAPM): a portfolio of risk-free asset and risky assets, the capital market line, systematic risk and idiosyncratic risk, calculation of beta, assumptions of CAPM and its applications, limitations, and extensions.
6. Investment strategies: value investing, growth investing, income investing, momentum investing, and their implementation in portfolio management, as well as ESG investing.
7. Portfolio planning: investment policy statement, portfolio construction, and portfolio rebalancing.
8. Basics of risk management: risk management process, enterprise view of risk governance, risk identification, and risk drivers.
9. Basics of risk management: taxonomy of risks, tools, and practices for portfolio risk management.
10. Measuring portfolio risk: coherent risk measures, risk metrics, variance, semivariance, Value at Risk (VaR), and Conditional Value at Risk (CVaR).
11. Measuring portfolio performance: compound Annual Growth Rate (CAGR), maximum drawdown, and performance ratios.
12. Fintech in investment management: definition of fintech, big data, machine learning and artificial intelligence (AI), data science, and information extraction from big data.
13. Fintech in investment management: distributed ledger technology and its potential applications.
14. Selected applications of fintech in investment management.