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Investor Sentiment Index and Option Price Volatility Based on MIDAS Model: Evidence from China [PDF]
SHS Web of Conferences, 2021 The paper selects the transaction data of the option market and network data from June 1, 2015 to February 2, 2018. The principal component analysis is adopted to construct investor sentiment index.
Xiao Haiyan, Hao Yingxin, Wu Sirong
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An analysis between implied and realised volatility in the Greek Derivatives Market [PDF]
, 2009 In this article, we examine the relationship between implied and realised volatility in the Greek derivative market. We examine the differences between realised volatility and implied volatility of call and put options for at-the-money index options with
Chance, D. +4 more
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PCA for Implied Volatility Surfaces [PDF]
The Journal of Financial Data Science, 2020 Principal component analysis (PCA) is a useful tool when trying to construct factor models from historical asset returns. For the implied volatilities of US equities, there is a PCA-based model with a principal eigenportfolio whose return time series ...
M. Avellaneda +3 more
semanticscholar +1 more source
An Intuitive Introduction to Fractional and Rough Volatilities
Mathematics, 2021 Here, we review some results of fractional volatility models, where the volatility is driven by fractional Brownian motion (fBm). In these models, the future average volatility is not a process adapted to the underlying filtration, and fBm is not a ...
Elisa Alòs, Jorge A. León
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A Lower Bound for the Volatility Swap in the Lognormal SABR Model
Axioms, 2023 In the short time to maturity limit, it is proved that for the conditionally lognormal SABR model the zero vanna implied volatility is a lower bound for the volatility swap strike.
Elisa Alòs +2 more
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Implied Volatility Functions [PDF]
The Journal of Derivatives, 2000 This paper proposes and investigates a class of dynamic implied volatility function models (DIVF). This class of models separates the time-invariant implied volatility function from the stochastic state variables which drive changes in the individual implied volatilities. The dynamics of the state variables are modeled explicitly.
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Deep Smoothing of the Implied Volatility Surface [PDF]
Neural Information Processing Systems, 2019 We present a neural network (NN) approach to fit and predict implied volatility surfaces (IVSs). Atypically to standard NN applications, financial industry practitioners use such models equally to replicate market prices and to value other financial ...
Damien Ackerer +2 more
semanticscholar +1 more source
Forecasting Stock Market Volatility: A Combination Approach
Discrete Dynamics in Nature and Society, 2020 We find that combining two important predictors, stock market implied volatility and oil volatility, can improve the predictability of stock return volatility.
Zhifeng Dai +3 more
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Implied Volatility String Dynamics [PDF]
, 2003 Not ...
Fengler, Matthias R. +2 more
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Journal of Business Economics and Management, 2014 This study examines the information content of implied volatility, using the options of the underlying S&P CNX Nifty index. In this study, implied, historical and realized volatilities are calculated using non-overlapping monthly at-the-money samples ...
Puja Padhi, Imlak Shaikh
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