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01.【M1L1】The Random Behavior of Assets 41.sz
02.【M1L2】Binomial Models 646.sz
03.【Python1】Introduction to Financial Time Series 588.sz
04.【M1L3】PDEs & Transition Density Functions 892.sz
05.【Tutorial 1】Further Probability Theory .sz
06.【M1L4】Applied Stochastic Calculus I .sz
07.【Python 2】Binomial Trees in Option Pricing 339.sz
08.【M1L5】 Applied Stochastic Calculus II .sz
09.【M1L6】 Martingales 41.sz
10.【M2L1】 Portfolio Management 816.sz
11.【M2L2】Fundamentals of Optimization 228.sz
12.【Python3】Portfolio Optimization .sz
13.【M2L3】 Value at Risk & Expected Shortfall .sz
14.【M2L4】 Asset Returns Key Imperial Stylized Facts 906.sz
15.【Python4】Value at Risk & GARCH .sz
16.【M2L5】Volatility Models The ARCH Framework .sz
17.【M2L6】Risk Regulation & Basel IIIIV 325.sz
18.【M2L7】 Collateral & Margins 557.sz
19.【Tutorial 2】Statistical Essentials for VaR & ES 460.sz
20.【M3L1】 Black Scholes Model 302.sz
21.【M3L2】 Martingales Theory .sz
22.【M3L3】Option Pricing Models Connecting the Dots 376.sz
23.【Python 5】Black Scholes Option Pricing 228.sz
24.【Tutorial 3】Differential Equations - Theory & Applications 663.sz
25.【M3L4】Intro to Numerical Methods 638.sz
26.【Python 6】Monte Carlo Simulation 930.sz
27.【M3L5】Exotic Options 322.sz
28.【M3L6】 Understanding Volatility 135.sz
29.【Python 7】Finite Difference Methods 987.sz
30.【M3L7】 Further Numerical Methods 79.sz
31.【M3L8】Derivatives Market Practice 41.sz
32.【Python 8】 Implied Volatility .sz
33.【M3L9】Advanced Greeks 72.sz
34.【Tutorial 4】Further Numerical Methods in Monte Carlo & FDM .sz
35.【M3L10】Advanced Volatility Modeling .sz
36.【M3L11】FX Options 323.sz
37.【M4L1】An Introduction to Machine Learning I 746.sz
38.【M4L2】 An Introduction to Machine Learning II 558.sz
39.【M4L3】Math Toolbox for Machine Learning 860.sz
40.【M4L4】Supervised Learning I 521.sz
41.【Python9】 Introduction to Machine Learning using Scikit-learn 305.sz
42.【M4L5】Supervised Learning II 947.sz
43.【M4L6】Decision Trees & Ensemble Models 288.sz
44.【Python10】Trend prediction using Logistic Regression .sz
45.【M4L7】Practical Machine Learning Case Studies for Finance .sz
46.【Python11】Gradient Boosting for Price Prediction 966.sz
47.【M5L1】Unsupervised Learning I 807.sz
48.【M5L2】 Unsupervised Learning II 709.sz
49.【M5L3】Deep Learning & Neural Networks .sz
50.【M5L4】 Natural Language Processing .sz
51.【M5L5】 Reinforcement Learning Theory .sz
52.【M5L6】 Reinforcement Learning in Practice .sz
53.【Tutorial 5】Data Source & Market Prediction .sz
54.【M5L7】 AI Based Algo Trading Strategies .sz
55.【Python12】K-Means Clustering .sz
56.【Python13】App of Neural Networks using TensorFlow .sz
57.【M5L8】Practical Machine Learning Case Studies for Finance .sz
58.【Pythonlab 14】 Reinforcement Learning .sz
59.【M5L9】 Quantum Computing .sz
60.【M6L1】Fixed Income Products & Analysis 463.sz
61.【M6L2】 Stochastic Interest Rate Modeling 474.sz
62.【M6L4】 Probabilistic Methods for Interest Rates .sz
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