Asset-Liability Management using MATLAB (Code and App)
This code example shows how to perform tasks related to asset-liability management (ALM), including:
- Cash flow analysis (Part 1)
- Duration gap computation (Part 2a)
- Sensitivity analysis (Part 2b)
In this code example, you will also see how to incorporate interest rate trees (e.g., Black-Karasinski interest-rate tree) into ALM modeling. Such interest rate trees can be used to calculate the duration of financial instruments, duration gap, and net worth.
For the app deployment part, you may need to use MATLAB Compiler, MATLAB Compiler SDK, or other tools (depending on your deployment strategy).
Citation pour cette source
MathWorks Quant Team (2024). Asset-Liability Management using MATLAB (Code and App) (https://www.mathworks.com/matlabcentral/fileexchange/70144-asset-liability-management-using-matlab-code-and-app), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
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- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Version | Publié le | Notes de version | |
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1.0.1 | 1.01: Bug Fix on creating AlphaDates |
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1.0.0 |