£55.68

About as cheap as it gets — within 5% of the all-time low it hit 2 months ago.

£56 today · all-time low £55 (Jul 2026) · usually the usual

World Scientific Publishing Company World Scientific Fitting Local Volatility - Finance Book

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£63.67 £54.62 £56.59 £58.57 £60.54 £62.52 £64.49 24 July 2026 03 August 2026 13 August 2026 23 August 2026 03 September 2026
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Price Distribution

Price distribution over 42 days • 5 price levels

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6 days · current 7 days 2 days 7 days 20 days 0 5 10 15 20 £55 £57 £58 £61 £64 Days at Price

Price Analysis

Most common price: £64 (20 days, 47.6%)

Price range: £55 - £64

Price levels: 5 different prices over 42 days

Description

Explore advanced mathematical finance with Fitting Local Volatility: Analytic And Numerical Approaches In Black-Scholes And Local Variance Gamma Models. Published by World Scientific Publishing Company, this text addresses critical gaps in existing literature regarding local volatility models. It provides detailed coverage of the Dupire equation and methods for constructing analytical solutions for arbitrary local volatility functions. Readers gain insights into parametric and non-parametric regression of the local volatility surface to facilitate fast calibration. The book also examines no-arbitrage interpolation and extrapolation techniques for both local and implied volatility surfaces, making it a specialized resource for professionals in the field.

Key Features

This World Scientific Publishing Company book covers analytic and numerical approaches for Black-Scholes and local variance gamma models.

Learn to construct analytical solutions of the Dupire equation for any arbitrary shape of the local volatility function.

Study parametric and non-parametric regression of the local volatility surface to support fast calibration processes.

Gain knowledge on no-arbitrage interpolation and extrapolation for local and implied volatility surfaces.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 February 2020
Listed Since
08 October 2019

Barcode

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