The research demonstrates that deep generative models are effective for financial applications, such as risk analysis and portfolio optimization. Future work could explore additional architectures and features. Potential applications include creating optimal portfolios and improving risk management strategies.

The research demonstrates that deep generative models are effective for financial applications, such as risk analysis and portfolio optimization. Future work could explore additional architectures and features. Potential applications include creating optimal portfolios and improving risk management strategies.

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