45:17

Guided answer for mid term

14:41

Preference for log return in financial analysis

16:15

Prediction and optimization in portfolio management

23:00

Introduction to portfolio management

33:16

ML and Financial Applications - Week 10 - Reinforcement Learning for Portfolio Optimization

26:43

Machine Learning and Financial Applications - Week 6 - Artificial neural networks

29:40

Machine Learning and Financial Applications - Week 5 - Decision tree and random forest

35:21

Machine Learning and Financial Applications - Week 4 - Regularization

29:38

Machine Learning and Financial Applications - Week 3 - Logistic regression

25:01

Machine Learning and Financial Applications - Week 2 - Linear regression

17:22

ML and Financial Applications - Week 2 - Deriving closed-form solution for linear regression

25:31

Machine Learning and Financial Applications - Week 1 - Introduction to machine learning

18:36

Quantitative trading strategies lab 6 - improving pairs trading strategy using Bayesian optimization

12:00

Quantitative trading strategies lab 7 - implementing pairs trading strategy using machine learning

17:08

Quantitative trading strategies lab 5 - implementing the pairs trading strategy

14:18

Quantitative trading strategies lecture 12.2 - SVM, random forest, neural network in pairs trading

08:19

Quantitative trading strategies lecture 12.1 - Pairs trading with machine learning

15:32

Quantitative trading strategies lecture 11.3 - Gaussian process and acquisition function

08:43

Quantitative trading strategies lecture 11.2 - Bayesian optimization

09:27

Quantitative trading strategies lecture 11.1 - optimizing trading strategies

13:12

Quantitative trading strategies lecture 10.2 - cointegration, stationarity, z score in pairs trading

08:43

Quantitative trading strategies lecture 10.1 - statistical arbitrage and pairs trading

15:31

Quantitative trading strategies lab 4 - implementing the momentum trading strategy

10:03

Quantitative trading strategies lab 3 - implementing the trend following strategy

09:44

Quantitative trading strategies lab 2 - simple and exponential smoothing averages

09:51

Quantitative trading strategies lab 1 - working with log returns

06:30

Quantitative trading strategies lecture 9.4 - contango and backwardation

15:54

Quantitative trading strategies lecture 9.3 - no-arbitrage pricing for forward & futures contract

06:12

Quantitative trading strategies lecture 9.2 - mark to market, daily settlement of futures contract

09:52

Quantitative trading strategies lecture 9.1 - forward contract, futures contract, clearing house

09:21

Quantitative trading strategies lecture 7.2 - max drawdown

12:31

Quantitative trading strategies lecture 7.1 - momentum trading strategy

16:49

Quantitative trading strategies lecture 6.2 - moving averages and trend following strategy

11:07

Quantitative trading strategies lecture 6.1 - log returns and technical indicators

22:57

Quantitative trading strategies lecture 5.1 - Python programming basics

17:35

Quantitative trading strategies lecture 3.2 - calculating return, risk, and annualization

19:57

Quantitative trading strategies lecture 3.1 - risk and return

15:32

Quantitative trading strategies lecture 2.3 - stop limit order, pegging, trailing stop, price impact

16:22

Quantitative trading strategies lecture 2.2 - limit order book, display order

13:36

Quantitative trading strategies lecture 2.1 - electronic order, market order, order matching

14:34

Quantitative trading strategies lecture 1.3 - downloading and visualizing stock price with Python

17:52

Quantitative trading strategies lecture 1.2 - payoff function, market structure, stock price chart

25:46

Quantitative trading strategies lecture 1.1 - financial data, model development, asset classes

24:19

Calculus - Lecture Week 13 - applications of integration

10:39

Calculus - Lecture Week 12.2 - fundamental theorem of calculus, area between two curves

30:25

Calculus - Lecture Week 12.1 - integration by substitution, integration by parts, definite integral

11:59

Calculus - Lecture Week 11.2 - reversing the chain rule, general indefinite integral formula

20:59

Calculus - Lecture Week 11.1 - integral calculus, antiderivatives and indefinite integral

27:32

Additional topic 5: geometric progression and housing price analysis using Python

11:14

Calculus - Lecture Week 10.2 - strategy for solving optimization problems, maximizing revenue

22:03

Calculus - Lecture Week 10.1 - point of diminishing return, locating absolute extrema

08:35

Additional topic 4 understanding derivatives and graphing

15:02

Calculus - Lecture Week 9.2 - cost analysis and elasticity of demand

20:52

Calculus - Lecture Week 9.1 - curve sketching, increments and differentials

16:13

Additional topic 3 common derivative rules

26:14

Calculus - Lecture Week 7.2 - concavity, second derivative, and inflection point

20:55

Calculus - Lecture Week 7.1 - derivative rules, chain rule, implicit differentiation

08:08

Calculus - Lecture Week 6.2 - common rules and properties when calculating derivatives

18:34

Calculus - Lecture Week 6.1 - derivatives

21:15

Additional topic 2: partial derivative, continuous function, limits