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This paper provides a brief overview of the stochastic modeling of variance swap curves. Focus is on affine factor … any pre-speci fied points on the variance swap curve. This should facilitate the empirical estimation for such stochastic … contrast to variance swap models, their yield factor representation requires imposing constraints on systems of nonlinear …
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We introduce an ensemble learning method based on Gaussian Process Regression (GPR) for predicting conditional expected stock returns given stock-level and macro-economic information. Our ensemble learning approach significantly reduces the computational complexity inherent in GPR inference and...
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We introduce a simulation method for dynamic portfolio valuation and risk management building on machine learning with kernels. We learn the dynamic value process of a portfolio from a finite sample of its cumulative cash flow. The learned value process is given in closed form thanks to a...
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We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting. The model learns the features necessary for an effective low-dimensional representation, overcoming the curse...
Persistent link: https://www.econbiz.de/10012219260