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  • Handbook of Computational Finance
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      • Publisher's listprice EUR 213.99
      • 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.

        88 752 Ft (84 526 Ft + 5% VAT)
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      • Discounted price 71 002 Ft (67 621 Ft + 5% VAT)

    88 752 Ft

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    Product details:

    • Edition number Softcover reprint of the original 1st ed. 2012
    • Publisher Springer Berlin Heidelberg
    • Date of Publication 23 August 2016
    • Number of Volumes 1 pieces, Previously published in hardcover

    • ISBN 9783662507070
    • Binding Paperback
    • See also 9783642172533
    • No. of pages804 pages
    • Size 235x155 mm
    • Weight 1647 g
    • Language English
    • Illustrations XI, 804 p.
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    Long description:

    Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.

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    Table of Contents:

    Introduction.- Pricing Models.- Statistical Inference in Financial Models.- Computational Methods.- Software Tools.- Possible further Topics: Realized Volatility/High Frequency Data.-Microstructure Empirical Analysis.- Option Pricing.- GARCH and Diffusion Jump Limits.- Interest Rate Derivatives.

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