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We propose a number of volatility measures that are based on ensemble averaging instead of time averaging. These measures allow fast measurement of current volatility without relying on series of past data (realized volatility) of future expectations (implied volatility). The introduced...
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helps to improve predictions. In this work, we propose DeepVol, a model based on Dilated Causal Convolutions to forecast day … incorporate realised measures of volatility into the forecast. This allows us to take advantage of the abundance of intraday …
Persistent link: https://www.econbiz.de/10014236547
We show how to compute the expectiles of the risk neutral distribution from the prices of European call and put options. Empirical properties of these implicit expectiles are studied on a dataset of closing daily prices of FTSE MIB index options. We introduce the interexpectile difference Δ<sub>τ...
Persistent link: https://www.econbiz.de/10012932949
A Hidden Markov Model (HMM) is used to model the VIX (the Cboe Volatility Index). A 4- state Gaussian mixture is fitted to the VIX price history from 1990 to 2022. Using a growing window of training data, the price of the S&P500 is predicted and two trading algorithms are presented, based on the...
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