:orphan: :orphan: Chapter 9: Mathematical Finance. ================================== This gallery contains examples and tutorials for Chapter 9. The examples demonstrate how to use the CodPy library to implement different Reinforcement Learning algorithms for two environments: Cartpole and LunarLander. Each example includes code and outputs, such as plots or results, to help you understand how the library works. Below are the examples for this chapter: .. raw:: html
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9.01 Free time series modeling
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9.02 Random walks
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9.03 ARMA(p,1) model
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9.04 GARCH(1,1) model
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9.05 Lagrange interpolation model
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9.06 Additive noise map
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9.07 Conditionning model
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9.08 Stochastic volatility model
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9.09 Heston Process - Reproducibility
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9.10 Heston Process - Path comparison
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9.11 Heston Process - Intraday interpolation
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9.12 Price extrapolation using KRR and Taylor
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9.13 Greeks output after correction
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9.13 Reverse Stress Test
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.. toctree:: :hidden: /auto_ch9/ch9_get_market_data /auto_ch9/ch9_random_walk_log_normal /auto_ch9/ch9_arma /auto_ch9/ch9_garch /auto_ch9/ch9_lagrange /auto_ch9/ch9_additive /auto_ch9/ch9_conditionning /auto_ch9/ch9_stoch_vol /auto_ch9/ch9_HestonRepro /auto_ch9/ch9_HestonCompare /auto_ch9/ch9_isocontours /auto_ch9/ch9_priceExtrapolation /auto_ch9/ch9_greeks /auto_ch9/ch9_rst .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_