Isolating a risk premium on the volatility of volatility
Lorenzo Ravagli shows a risk premium could be embodied in the price of out-of-the-money options. He demonstrates that in a family of stochastic volatility models, and under some limits, this premium is related to the overvaluation of implied volatility of volatility compared to the realised volatility of implied volatility. He carries out a numerical analysis on foreign exchange options to support his findings
The author finds that for a class of stochastic volatility models, under the limits of zero skew, short maturity and near-the money, the implied lognormal volvol enters the dynamics of an option as a breakeven term corresponding to theVolga axis of risk: a non-zero Volga term monetises a P&L that is proportional to the differential of the squared values of implied and realised volvol.
CLICK HERE
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Investments
Supervised similarity for firm linkages
Quantum fidelity is used to capture dependency structures in equity
Deep learning alpha signals from limit order books
An analysis on network architectures applied to limit order book data is presented
Optimising broker evaluation through intraday modelling of execution cost
A method to assess brokers’ performance via their market impact is presented
Supervised similarity for high-yield bonds
Quantum cognition ML is used to identify tradable alternatives for high-yield corporate bonds
Gaussian GenAI: synthetic market data generation
A method to generate financial time series with mixture models is presented
Estimating mean reversions in interest rate models
The speed of factors’ mean reversion in rate models is estimated
Overcoming Markowitz’s instability with hierarchical risk parity
Portfolio optimisation via HRP provides stable and robust weight estimates
Quantum two-sample test for investment strategies
Quantum algorithms display high discriminatory power in the classification of probability distributions