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A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility

Authors: Bogdan Negrea;

A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility

Abstract

In this paper we propose a stochastic valuation model based on the Fourier transform for option price. This model can be used for the valuation of European options, characterized by two state variables: the price of the underlying asset and its volatility. We model the stochastic processes described by the two variables to obtain a partial derivatives equation whose solution is the price of the derivative. We propose a solution to this partial derivatives equation using the Fourier transform. We assume a non-zero correlation between the underlying asset price and its volatility and two sources of risk: return and volatility. We also propose a volatility smile function.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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