Quantitative Finance & Algorithmic Trading in PythonMarkowitz-portfolio theory, CAPM, Black-Scholes formula and Monte-Carlo simulationsThis course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. Markowitz-model is the first step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model: how to eliminate risk with hedging. Nowadays machine learning techniques are becoming more and more popular. So you will learn about regression, SVM and tree based approaches. Hope you will like it!Course CurriculumIntroductionIntroduction (1:22)Why to use PythonFinancial models (3:03)Stock Market BasicsPresent value / future value of money (5:10)Time value of money implementation (3:02)Stocks / shares (5:10)Commodities (1:18)Currencies and the FOREX (3:56)Fundamental terms: short and long (1:55)BondsBonds basics (3:09)Bond price and interest rate (3:14)Bond price and maturity (2:06)Bonds pricing implementation (4:29)Get Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs , Only Price $47Modern Portfolio Theory (Markowitz-model)The main idea – diverzification (5:17)Mathematical formulation (5:00)Expected return of the portfolio (5:27)Expected variance (risk) of the portfolio (4:53)Efficient frontier (5:33)Sharpe ratio (3:03)Capital allocation line (3:30)Modern Portfolio Theory implementation – getting data from Yahoo (6:08)Modern Portfolio Theory implementation – weightsModern Portfolio Theory implementation – mean and variance (4:03)Modern Portfolio Theory implementation – Monte-Carlo simulation (5:52)Modern Portfolio Theory implementation – optimization (8:10)Capital Asset Pricing Model (CAPM)Systematic and unsystematic risk (2:05)Capital asset pricing model formula (3:48)The beta value (4:49)Capital asset pricing model and linear regression (2:40)Capital asset pricing model implementation I (4:07)Capital asset pricing model implementation II (5:17)Capital asset pricing model implementation III (3:45)Derivatives BasicsIntroduction to derivatives (1:45)Future contracts (2:52)Interest rate swaps (2:01)Options basics (2:32)Call option (4:54)Put option (2:45)American and european options (2:18)Random Behaviour in FinanceTypes of analysis (5:20)Random behaviour of returns (4:32)Winer-process (5:12)Stochastic calculus introduction (4:20)Ito’s lemma in higher dimensions (5:04)Brownian-motion implementation (4:06)Black-Scholes ModelBlack-Scholes model introduction – the portfolio (6:44)Black-Scholes model introduction – dynamic delta hedge (6:09)Black-Scholes model introduction – no arbitrage principle (4:37)Solution to Black-Scholes equation (4:06)The greeks (4:36)Black-Scholes model implementation I (5:39)Black-Scholes model implementation II – Monte-Carlo (9:56)How to make money with Black-Scholes model? (1:56)Long Term Capital Management (LTCM) (6:03)Value At Risk (VaR)What is Value-at-Risk? (3:09)Value-at-Risk introduction (7:40)Value at risk implementation I (5:07)Value at risk implementation II – Monte-Carlo simulation (6:04)Machine Learning in FinanceWhat is machine learning? (6:08)Logistic regression introduction (3:27)Logistic regression implementation (10:20)K-nearest neighbor (kNN) classifier introduction (8:02)K-nearest neighbor (kNN) classifier implementation (3:52)Support vector machine (SVM) introduction (7:12)Support vector machine (SVM) implementation (3:39)Long-Term InvestingValue investing (2:50)Efficient market hypothesisCourse MaterialSlidesSourcecodeGet Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs , Only Price $47Tag: Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs Review. Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs download. Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs discount.algorithmic trading python. algorithmic trading software. algorithmic trading strategies. algorithmic trading companies. algorithmic trading and machine learning. algorithmic trading and quantitative strategies. algorithmic trading and machine learning imperial
Quantitative Finance & Algorithmic Trading in Python – Holczer Balazs
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