Hi there—one of the authors of MQTransformer here. Feel free to send us an email and we can help you with this! (Our emails should be on the paper—if you cant find it, let us know here and we’ll add it)
There’s no difference in the actual model (or its architecture) - but we realized that the “trades” (this can be made more precise if you’d like) MQT would be a martingale against encompass a large class of volatility definitions, so we gave an example of a novel volatility measure (or a trade) that isn’t the classical definition and showed MQT works well against it (Theorem 8.1 and Eqn 14).
Hi there—one of the authors of MQTransformer here. Feel free to send us an email and we can help you with this! (Our emails should be on the paper—if you cant find it, let us know here and we’ll add it)
This is great; thank you! I will send an email in the coming month. Also, I suppose a quick clarification, but what’s the relation between: MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention and MQTransformer: Multi-Horizon Forecasts with Context Dependent Attention and Optimal Bregman Volatility
Looking forward to it!
There’s no difference in the actual model (or its architecture) - but we realized that the “trades” (this can be made more precise if you’d like) MQT would be a martingale against encompass a large class of volatility definitions, so we gave an example of a novel volatility measure (or a trade) that isn’t the classical definition and showed MQT works well against it (Theorem 8.1 and Eqn 14).