Results 201 to 210 of about 993 (234)
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Neural Networks Based Dynamic Implied Volatility Surface

SSRN Electronic Journal, 2019
A pricing model is tied to its ability of capturing the dynamics of the spot price process. Its misspecification will lead to pricing and hedging errors. Parametric pricing formula depends on the particular form of the dynamics of the underlying asset.
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Flexible Bayesian modelling of implied volatility surfaces

International Journal of Financial Engineering and Risk Management, 2014
In their Bayesian approach to non–parametric bivariate regression, Smith and Kohn (1997) propose a regressor selection algorithm to fit a smooth surface to data. In this paper, we demonstrate how this methodology can be applied to estimate implied volatility surfaces and why it should be considered an alternative to classical estimators. In addition to
openaire   +1 more source

Deep Learning from Implied Volatility Surfaces

SSRN Electronic Journal, 2023
Bryan T. Kelly   +3 more
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No Arbitrage Conditions and Characters of Implied Volatility Surface: A Review for Implied Volatility Modelers

SSRN Electronic Journal, 2015
Since the market model based approach gained more popularity in implied volatility modeling literature, it is very important to understand the restriction on implied volatility surface imposed by no arbitrage conditions. There are many papers offering conclusions in different forms under kinds of assumptions.
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Chapter 30 - Implied Volatility Surface

2023
Christian Hafner, Wolfgang Karl Härdle
openaire   +1 more source

The Cost Model for Deriving Implied Volatility Surfaces

SSRN Electronic Journal, 2010
In this paper we present an innovative and straightforward model for constructing consistent and accurate implied volatility surfaces. The parameters of this model are directly linked to measurable and observable market risks.
openaire   +1 more source

Closed-Form Implied Volatility Surfaces for Stochastic Volatility Models

SSRN Electronic Journal, 2017
Yacine Ait-Sahalia   +2 more
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Big data analytics for financial Market volatility forecast based on support vector machine

International Journal of Information Management, 2020
Rongjun Yang, Yuanjun Zhao
exaly  

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