| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to the Course | |||
| 1. Introduction.mp4 | 99.6 MB | ||
| 10 - Calculating Value at Risk | |||
| 11 - Conducting Monte Carlo Risk Simulation | |||
| 12 - Optimizing Portfolio with CAPM & Mean Variance Optimization | |||
| 13 - Conducting Forward Pricing & Financial Derivatives Valuation | |||
| 14 - Option Pricing with Black Scholes Model | |||
| 15 - Conducting Derivatives Pricing with Binomial Tree Model | |||
| 16 - Conducting Fixed Income Modelling & Fixed Coupon Bond Pricing | |||
| 17 - Building Implied Volatility Surface & Creating 3D Visualization | |||
| 18 - Creating Cointegrated Pair Simulation & Applying Mean Reversion Concept | |||
| 19 - Conclusion & Summary | |||
| 2 - Tools, IDE, and Datasets | |||
| 3 - Introduction to Quantitative Finance & Financial Engineering | |||
| 4 - Python Fundamentas for Quantitative Finance | |||
| 5 - Financial Mathematics & Computational Finance | |||
| 6 - Descriptive Statistics, Probability, Correlation, Covariance, Regression | |||
| 7 - Time Series Analysis & Volatility Modelling with GARCH | |||
| 8 - Stochastic Calculus & Geometric Brownian Motion | |||
| 10. Stochastic Calculus & Geometric Brownian Motion.mp4 | 124.2 MB | ||
| 10. stochasticcalculusandgeometricbownianmotion.py | 1.1 KB | ||
| 9 - Risk Management, Stress Testing, and Scenario Analysis | |||
| 11. Risk Management, Stress Testing, and Scenario Analysis.mp4 | 369.2 MB | ||
| 11. riskmanagementstresstestingscenarioanalysis.py | 3.7 KB | ||
| 9. Time Series Analysis & Volatility Modelling with GARCH.mp4 | 98.6 MB | ||
| 9. timeseriesanalysisandvolatilitymodellingwithgarch.py | 921.6 B | ||
| 8. Descriptive Statistics, Probability, Correlation, Covariance, Regression.mp4 | 212.8 MB | ||
| 8. descriptivestatisticsprobabilitycorrelationcovarianceandregressionanalysis.py | 1.5 KB | ||
| 7. Financial Mathematics & Computational Finance.mp4 | 372.8 MB | ||
| 7. financialmathematicsandcomputationalfinance.py | 3 KB | ||
| 6. Python Fundamentas for Quantitative Finance.mp4 | 95.3 MB | ||
| 6. pythonfundamentalsforquantitativefinance.py | 716.8 B | ||
| 5. Introduction to Quantitative Finance & Financial Engineering.mp4 | 102.7 MB | ||
| 5. QuantModelsandFinancialEngineeringProjects.png | 1.3 MB | ||
| 4. Tools, IDE, and Datasets.mp4 | 76.4 MB | ||
| 21. Conclusion & Summary.mp4 | 12.2 MB | ||
| 20. Creating Cointegrated Pair Simulation & Applying Mean Reversion Concept.mp4 | 312.7 MB | ||
| 20. cointegrationpairandmeanreversion.py | 3 KB | ||
| 19. Building Implied Volatility Surface & Creating 3D Visualization.mp4 | 249.1 MB | ||
| 19. impliedvolatilitysurface.py | 2.9 KB | ||
| 18. Conducting Fixed Income Modelling & Fixed Coupon Bond Pricing.mp4 | 148.5 MB | ||
| 17. Conducting Derivatives Pricing with Binomial Tree Model.mp4 | 270.4 MB | ||
| 17. derivativespricingbinomialtreemodel.py | 2.1 KB | ||
| 16. Option Pricing with Black Scholes Model.mp4 | 178.1 MB | ||
| 16. financialderivatesblackscholesoptionpricing.py | 1.7 KB | ||
| 15. Conducting Forward Pricing & Financial Derivatives Valuation.mp4 | 111.3 MB | ||
| 15. financialderivativesforwardpricing.py | 1.1 KB | ||
| 14. Optimizing Portfolio with CAPM & Mean Variance Optimization.mp4 | 210.3 MB | ||
| 14. optimizingportofliowithcapmandmeanvarianceoptimization.py | 2.3 KB | ||
| 13. Conducting Monte Carlo Risk Simulation.mp4 | 214.2 MB | ||
| 13. montecarlosimulation.py | 1.6 KB | ||
| 12. Calculating Value at Risk.mp4 | 138.3 MB | ||
| 12. valueatrisk.py | 1.3 KB | ||
| 2. Quantitative Finance and Financial Engineering with Python.pptx | 1.1 MB | ||
| 2. Table of Contents.mp4 | 24.8 MB | ||
| 3. Whom This Course is Intended for.mp4 | 13.3 MB |
Quantitative Finance & Financial Engineering with Python
https://WebToolTip.com
Published 7/2026
Created by Christ Raharja
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 5h 46m ) | Size: 3.4 GB
Learn financial mathematics, computational finance, volatility modelling, risk management, and option pricing
What you'll learn
⚡ Learn the basic fundamentals of quantitative finance and financial engineering
⚡ Learn how to access market data from Yahoo Finance, clean the data, analyse and visualise the data using Pandas and Matplotlib
⚡ Learn about financial mathematics and computational finance
⚡ Learn about descriptive statistics, probability, correlation, covariance, and regression analysis
⚡ Learn about time series analysis and volatility modelling using GARCH
⚡ Learn about stochastic calculus and Geometric Brownian Motion
⚡ Learn about risk management, stress testing, and scenario analysis
⚡ Learn how to calculate historical value at risk, parametric value at risk, and conditional value at risk
⚡ Learn how to conduct Monte Carlo risk simulation
⚡ Learn how to optimize portfolio using Capital Asset Pricing Model and mean variance optimization
⚡ Learn how to conduct forward pricing and financial derivative valuation
⚡ Learn how to conduct option pricing using Black Scholes model
⚡ Learn how to conduct derivatives pricing using Binomial Tree Model
⚡ Learn how to conduct fixed income modelling and fixed coupon bond pricing
⚡ Learn how to build implied volatility surface and create 3D visualization
⚡ Learn how to create cointegrated pair simulation and apply mean reversion concept
Requirements
❗ No previous experience in quantitative finance is required
❗ Basic knowledge in Python and statistics
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| 506.8 MB | freecoursewb | 14 hours | 0 | 0 | |
| 1 GB | freecoursewb | 15 hours | 0 | 0 | |
| 2.7 GB | freecoursewb | 9 months | 0 | 0 | |
| 2.1 GB | freecoursewb | 9 months | 3 | 19 | |
| 2.4 GB | freecoursewb | 1 year | 3 | 1 |
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