Questions tagged [neural-networks]

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Non-overlapping ranges of HCNN' observables and of state transition function

In the artcicle Forecasting and Trading the High-Low Range of Stocks and ETFs with Neural Networks HCNN is used for forecasting of nine time-series, namely: returns of the lows returns of the highs ...
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Probability Integral Transform: Standardisation

I've been applying the probability integral transform as shown here to standardise date for input into a neural network:
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Implied volatility of Below intrinsic value Heston prices for deep calibraiton

I am trying to generate implied volatility surfaces for European call in the Heston model. I get below intrinsic values for deep ITM, so about 2% of my surface has below intrinsic prices, which doesn'...
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Neural Network to learn Heston Model parameters

I am trying to solve this question: Write down pseudocode to learn a local stochastic volatility for finitely many given option prices: assume a Heston stochastic variance and parametrize local ...
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Good (non-random walk) financial time series to perform forecasting on

I would like to start with a brief caveat, namely that I am by no means a domain expert in financial markets. Therefore the question I am asking may sound silly to a practitioner but I am asking it ...
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transforming a model to long short instead of long-only

I am currently trying to adapt a model to a long short portfolio strategy. The model is stated here: A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem by Jiang, Xu,...
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