Results 21 to 30 of about 265 (142)
A Solution to the Time-Scale Fractional Puzzle in the Implied Volatility
In the option pricing literature, it is well known that (i) the decrease in the smile amplitude is much slower than the standard stochastic volatility models and (ii) the term structure of the at-the-money volatility skew is approximated by a power-law ...
Hideharu Funahashi, Masaaki Kijima
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Realizing Smiles: Options Pricing with Realized Volatility [PDF]
We develop a discrete-time stochastic volatility option pricing model exploiting the information contained in the Realized Volatility (RV), which is used as a proxy of the unobservable log-return volatility. We model the RV dynamics by a simple and effective long-memory process, whose parameters can be easily estimated using historical data.
CORSI, Fulvio +2 more
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On the Curvature of the Smile in Stochastic Volatility Models
The first author was supported by grants ECO2014-59885-P and MTM2016-76420-P (MINECO/FEDER, UE). The second author was supported by CONACyT grant 220303.
Alòs, Elisa, León, Jorge A.
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PENGARUH SKEWNESS DAN KURTOSIS DALAM MODEL VALUASI OBLIGASI
The Gram-Charlier expansion, where skewness and kurtosis directly appear as parameters, has become popular in finance as a generalization of the normal density. Non-normal skewness and kurtosis of underlying asset of bond issuer company are significantly
Abdurakhman Abdurakhman +1 more
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Smiling under stochastic volatility [PDF]
This paper studies the behavior of the implied volatility function (smile) when the true distribution of the underlying asset is consistent with the stochastic volatility model proposed by Heston (1993). The main result of the paper is to extend previous results applicable to the smile as a whole to alternative degrees of moneyness.
�ngel Le�n, Gonzalo Rubio
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Modelling the implied volatility – A case of EUR/PLN currency options
Implied volatility, quoted by market makers for Over-the-Counter foreign exchange options, constructs a volatility surface that facilitates the pricing of all vanilla contracts.
Mielus Piotr
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Interpretability in deep learning for finance: A case study for the Heston model
Deep learning is a powerful tool whose applications in quantitative finance are growing every day. Yet, artificial neural networks behave as black boxes, and this introduces risks, hindering validation and accountability processes.
Damiano Brigo +3 more
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We analyse a model for pricing derivative securities in the presence of both transaction costs as well as the risk from a volatile portfolio. The model is based on the Black-Scholes parabolic PDE in which transaction costs are described following the ...
Martin Jandačka, Daniel Ševčovič
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The Forward Smile in Local-Stochastic Volatility Models
We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic volatility model. We derive explicit approximation formulas for the so-called forward implied volatility which can be useful to price complex path-dependent options, as cliquets.
MAZZON, ANDREA, PASCUCCI, ANDREA
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Asymmetric Uncertainty Around Earnings Announcements: Evidence from Options Markets
We use the Indian stock options market to study the evolution of uncertainty and asymmetric uncertainty around earnings announcements (EAs). We find that uncertainty (implied volatility) and asymmetric uncertainty (options skew) increase monotonically ...
Sumit Saurav +2 more
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