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Volatility-of-Volatility Risk [PDF]
Journal of Financial and Quantitative Analysis, 2018 We show that market volatility of volatility is a significant risk factor that affects index and volatility index option returns, beyond volatility itself. The volatility and volatility of volatility indices, identified model-free as the VIX and VVIX, respectively, are only weakly related to each other.
Darien Huang +3 more
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The Volatility of Realized Volatility [PDF]
Econometric Reviews, 2008 In recent years, with the availability of high-frequency financial market data modeling realized volatility has become a new and innovative research direction. The construction of “observable” or realized volatility series from intra-day transaction data and the use of standard time-series techniques has lead to promising strategies for modeling and ...
CORSI, Fulvio +3 more
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From volatility smiles to the volatility of volatility [PDF]
Decisions in Economics and Finance, 2019 The authors review models of the option surface and reduced-form models for stochastic volatility in continuous time, under the risk-neutral measure. They introduce ``forward volatilities'' (in analogy with forward interest rates in the term structure theory), and prove that such objects are conditional expected values, under the risk-neutral measure ...
Dumas B., Luciano E.
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Volatility of volatility of financial markets [PDF]
Mathematical and Computer Modelling, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. Ingber, J.K. Wilson
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SSRN Electronic Journal, 2014 Estimating volatility from recent high frequency data, we revisit the question of the smoothness of the volatility process. Our main result is that log-volatility behaves essentially as a fractional Brownian motion with Hurst exponent H of order 0.1, at any reasonable time scale.
Gatheral, Jim +2 more
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Volatility Forecasting for Low-Volatility Investing
SSRN Electronic Journal, 2022 Low-volatility investing often involves sorting and selecting stocks based on retrospective risk measures, for example, the historical standard deviation of returns. In this paper, we use the volatility forecasts from a wide spectrum of volatility models to sort and select stocks and estimate portfolio weights.
Christian Conrad +2 more
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Volatility Options in Rough Volatility Models [PDF]
SSRN Electronic Journal, 2018 We discuss the pricing and hedging of volatility options in some rough volatility models. First, we develop efficient Monte Carlo methods and asymptotic approximations for computing option prices and hedge ratios in models where log-volatility follows a Gaussian Volterra process.
Blanka Horvath +2 more
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Volatility Modeling and Dependence Structure of ESG and Conventional Investments
Risks, 2022 The question of whether environmental, social, and governance investments outperform or underperform other conventional financial investments has been debated in the literature.
Joanna Górka, Katarzyna Kuziak
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Forecasting stock market volatility and the informational efficiency of the DAX-index options market [PDF]
, 2002 Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as ...
Claessen, Holger, Mittnik, Stefan
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Future Internet, 2022 Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named “volatility”, which indicates the market’s risk and as a result of the ...
Mst. Shapna Akter +3 more
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