activity
20152023
most citedAsymptotic behaviour of randomised fractional volatility models

5 citations · 9 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

q-fin.PM2023

Signature Trading: A Path-Dependent Extension of the Mean-Variance Framework with Exogenous Signals

Owen Futter, Blanka Horvath, Magnus Wiese

In this article we introduce a portfolio optimisation framework, in which the use of rough path signatures (Lyons, 1998) provides a novel method of incorporating path-dependencies…

q-fin.CP2023★ 1 cited

Robust Hedging GANs

Yannick Limmer, Blanka Horvath

The availability of deep hedging has opened new horizons for solving hedging problems under a large variety of realistic market conditions. At the same time, any model - be it a tr…

stat.ML2023

Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures

Zacharia Issa, Blanka Horvath

In this work we present a non-parametric online market regime detection method for multidimensional data structures using a path-wise two-sample test derived from a maximum mean di…

stat.ML2023★ 1 cited

Non-adversarial training of Neural SDEs with signature kernel scores

Zacharia Issa, Blanka Horvath, Maud Lemercier +1

Neural SDEs are continuous-time generative models for sequential data. State-of-the-art performance for irregular time series generation has been previously obtained by training th…

math.PR2023

Optimal Stopping via Distribution Regression: a Higher Rank Signature Approach

Blanka Horvath, Maud Lemercier, Chong Liu +2

Distribution Regression on path-space refers to the task of learning functions mapping the law of a stochastic process to a scalar target. The learning procedure based on the notio…