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  • An Introduction to High-Frequency Finance

    An Introduction to High-Frequency Finance by Gençay, Ramazan; Dacorogna, Michel; Muller, Ulrich A.;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 105.00
      • 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.

        44 541 Ft (42 420 Ft + 5% VAT)
      • Discount 20% (cc. 8 908 Ft off)
      • Discounted price 35 633 Ft (33 936 Ft + 5% VAT)

    44 541 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:

    Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

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    Table of Contents:

    Introduction.
    Markets and Data.
    Time Series of Interest.
    Adaptive Data Cleaning.
    Basic Stylized Facts.
    Modeling Seasonal Volatility.
    Realized Volatility Dynamics.
    Volatility Processes.
    Forecasting Risk and Return.
    Correlation and Multivariate Risk.
    Trading Models.
    Toward a Theory of Heterogeneous Markets.
    Bibliography.
    Index.

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