2014Palgrave Macmillan UK eBooksRequires access

Stochastic Volatility

Peter Austing

Open publisher page 1 citations

Abstract

Another possible reason for the implied volatility smile is that instantaneous volatility is itself stochastic. As a model of the real world, this idea is attractive. We could measure the volatility of a stock or index like the FTSE over, say, a one month window and plot it over recent years. Alternatively, we could look at the one month volatility implied from at-the-money options over the last year. We would see that in both cases the volatility increases in times of political turmoil or uncertainty. As we cannot predict such events, it seems reasonable to model volatility itself as a stochastic process. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

About this research paper

What this paper is about

Another possible reason for the implied volatility smile is that instantaneous volatility is itself stochastic. As a model of the real world, this idea is attractive. We could measure the volatility of a stock or index like the FTSE over, say, a one month window and plot it over recent years. Alternatively, we could look at the one month volatility implied from at-the-money options over the last year. We would see that in both cases the volatility increases in times of political turmoil or uncertainty. As we cannot predict such events, it seems reasonable to model volatility itself as a stochastic process. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

Another possible reason for the implied volatility smile is that instantaneous volatility is itself stochastic. As a model of the real world, this idea is attractive. We could measure the volatility of a stock or index like the FTSE over, say, a one month window and plot it over recent years. Alternatively, we could look at the one month volatility implied from at-the-money options over the last year. We would see that in both cases the volatility increases in times of political turmoil or uncertainty. As we cannot predict such events, it seems reasonable to model volatility itself as a stochastic process. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Stochastic volatility, Implied volatility, Forward volatility, Volatility smile, Volatility (finance), Volatility swap, Economics, Econometrics

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