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  • An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

    An Introduction to Wavelets and Other Filtering Methods in Finance and Economics by Gençay, Ramazan; Selçuk, Faruk; Whitcher, Brandon J.;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 114.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        48 358 Ft (46 056 Ft + 5% VAT)
      • Discount 20% (cc. 9 672 Ft off)
      • Discounted price 38 687 Ft (36 845 Ft + 5% VAT)

    48 358 Ft

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    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method.

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    Table of Contents:

    Preface
    Introduction
    Linear Filters
    Optimum Linear Estimation
    Discrete Wavelet Transforms
    Wavelets and Stationary Processes
    Wavelet Denoising
    Wavelets for Variance-Covariance Estimation
    Artificial Neural Networks

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