تحميل Mathematical Portfolio Theory
Business
روابط التحميل
يوجد صيانة لقسم تحميل الدورات لذلك يمكنك مشاهدة الدورة بشكل مباشر من هنا بدلا من التحميل لحين الانتهاء من صيانة القسم
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Mathematical Portfolio Theory Intro Video
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Lec 1 Probability space and their properties Random variables
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Lec 2 Mean variance covariance and their properties
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Lec 3 Linear regression Binomial and normal distribution Central Limit Theorem
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Lec 4 Financial markets
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Lec 5 Bonds and stocks
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Lec 6 Binomial and geometric Brownian motion gBm asset pricing models
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Lec 7 Expected return risk and covariance of returns
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Lec 8 Expected return and risk of a portfolio Minimum variance portfolio
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Lec 9 Multi asset portfolio and Efficient frontier
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Lec 10 Capital Market Line and Derivation of efficient frontier
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Lec 11 Capital Asset Pricing Model and Single index model
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Lec 12 Portfolio performance analysis
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Lec 13 Utility functions and expected utility
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Lec 14 Risk preferences of investors
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Lec 15 Absolute Risk Aversion and Relative Risk Aversion
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Lec 16 Portfolio theory with utility functions
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Lec 17 Geometric Mean Return and Roy s Safety First Criterion
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Lec 18 Kataoka s Safety First Criterion and Telser s Safety First Criterion
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Lec 19 Semi variance framework
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Lec 20 Stochastic dominance First order stochastic dominance
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Lec 21 Second order stochastic dominance and Third order stochastic dominance
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Lec 22 Discrete time model and utility function
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Lec 23 Optimal portfolio for single period discrete time model
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Lec 24 Optimal portfolio for multi period discrete time model Discrete Dynamic Programming
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Lec 25 Continuous time model Hamilton Jacobi Bellman PDE
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Lec 26 Hamilton Jacobi Bellman PDE Duality Martingale Approach
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Lec 27 Duality Martingale Approach in Discrete and Continuous Time
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Lec 28 Interest rates and bonds Duration
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Lec 29 Duration Immunization
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Lec 30 Convexity Hedging and Immunization
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Lec 31 Quantiles and their properties
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Lec 32 Value at Risk and its properties
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Lec 33 Average Value at Risk and its properties
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Lec 34 Asset allocation
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Lec 35 Portfolio optimization
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Lec 36 Portfolio optimization with constraints Value at Risk Estimation and backtesting
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