In a nonparametric setting, we develop trading strategies to replicate volatility derivatives – contracts which pay functions of the realized variance of an underlying asset’s returns. The replicating portfolios trade the underlying asset and vanilla options, in quantities that we express in terms of vanilla option prices, not in terms of parameters of any particular model. Likewise, we find nonparametric formulas to price volatility derivatives, including volatility swaps and variance options. Our results are exactly valid, if volatility satisfies an independence condition. In case that condition does not hold, our formulas are moreover immunized, to first order, against nonzero correlation.
In this paper we investigate pricing of variance swaps contracts. The literature is mostly dedicated...
Starting from basic financial mathematics, we cover the mathematics of pricing swaptions, options on...
We study the pricing of multi-asset American derivatives in an Uncertain Volatility model for genera...
Volatility derivatives are a class of derivative products whose payoffs are closely associated with ...
We consider the pricing of a range of volatility derivatives, including volatility and variance swap...
© 2015 Elsevier B.V. All rights reserved. This paper studies volatility derivatives such as variance...
A new methodology to construct synthetic volatility derivatives is presented. The underlying asset ...
In this paper we develop strategies for pricing and hedging options on realized variance and volatil...
ABSTRACT. A growing literature advocates the use of high-frequency data for the purpose of volatilit...
We analyse a model for pricing derivative securities in the presence of both transaction costs as we...
This study examines the effects of time-varying volatility and transaction costs on replication of f...
International audienceWe propose a flexible framework for modeling the joint dynamics of an index an...
Traditionally volatility is viewed as a measure of variability, or risk, of an underlying asset. How...
The popular replication formula to price variance swaps assumes continuity of traded option strikes....
Volatility is a common risk measure in the field of finance that describes the magnitude of an asset...
In this paper we investigate pricing of variance swaps contracts. The literature is mostly dedicated...
Starting from basic financial mathematics, we cover the mathematics of pricing swaptions, options on...
We study the pricing of multi-asset American derivatives in an Uncertain Volatility model for genera...
Volatility derivatives are a class of derivative products whose payoffs are closely associated with ...
We consider the pricing of a range of volatility derivatives, including volatility and variance swap...
© 2015 Elsevier B.V. All rights reserved. This paper studies volatility derivatives such as variance...
A new methodology to construct synthetic volatility derivatives is presented. The underlying asset ...
In this paper we develop strategies for pricing and hedging options on realized variance and volatil...
ABSTRACT. A growing literature advocates the use of high-frequency data for the purpose of volatilit...
We analyse a model for pricing derivative securities in the presence of both transaction costs as we...
This study examines the effects of time-varying volatility and transaction costs on replication of f...
International audienceWe propose a flexible framework for modeling the joint dynamics of an index an...
Traditionally volatility is viewed as a measure of variability, or risk, of an underlying asset. How...
The popular replication formula to price variance swaps assumes continuity of traded option strikes....
Volatility is a common risk measure in the field of finance that describes the magnitude of an asset...
In this paper we investigate pricing of variance swaps contracts. The literature is mostly dedicated...
Starting from basic financial mathematics, we cover the mathematics of pricing swaptions, options on...
We study the pricing of multi-asset American derivatives in an Uncertain Volatility model for genera...