Advanced Certificate in Quantitative Finance: Actionable Knowledge
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⢠Advanced Financial Modeling: This unit covers the creation and analysis of complex financial models, including those used in valuation, risk management, and portfolio optimization.
⢠Derivatives and Risk Management: This unit explores the use of derivatives for hedging and speculation, and the principles of risk management in a quantitative finance context.
⢠Time Series Analysis and Forecasting: This unit covers the statistical methods used to analyze and forecast financial time series data, including autoregressive integrated moving average (ARIMA) models and state space models.
⢠Asset Pricing and Portfolio Theory: This unit covers the fundamental concepts of asset pricing and portfolio theory, including the capital asset pricing model (CAPM) and the efficient frontier.
⢠Stochastic Calculus and Financial Engineering: This unit introduces the mathematical tools used in financial engineering, including stochastic calculus and the Black-Scholes-Merton model.
⢠Monte Carlo Simulation and Financial Risk: This unit covers the use of Monte Carlo simulation in financial risk management, including the valuation of complex derivatives and the measurement of credit risk.
⢠Machine Learning for Quantitative Finance: This unit explores the application of machine learning techniques to quantitative finance, including regression analysis, decision trees, and neural networks.
⢠Fixed Income Analysis and Valuation: This unit covers the principles of fixed income analysis and valuation, including bond pricing, yield curves, and duration.
⢠Alternative Investments and Risk Management: This unit explores the use of alternative investments, such as hedge funds and private equity, for portfolio diversification and risk management.
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