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We investigate the performance of the Deep Hedging framework under training paths beyond the (finite dimensional …) Markovian setup. In particular, we analyse the hedging performance of the original architecture under rough volatility models in … capable of capturing the non-Markoviantity of time-series. We also analyse the hedging behaviour in these models in terms of …
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This paper examines the connectedness between Bitcoin and commodity volatilities, including oil, wheat, and corn, during the period Oct. 2013-Jun. 2018, using time- and frequency-domain frameworks. The time-domain framework's results show that the connectedness is 23.49%, indicating a low level...
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