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  • Modelling Irregularly Spaced Financial Data: Theory and Practice of Dynamic Duration Models

    Modelling Irregularly Spaced Financial Data by Hautsch, Nikolaus;

    Theory and Practice of Dynamic Duration Models

    Series: Lecture Notes in Economics and Mathematical Systems; 539;

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      • Publisher's listprice EUR 106.99
      • 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.

        44 374 Ft (42 261 Ft + 5% VAT)
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    44 374 Ft

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    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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    Table of Contents:

    1 Introduction.- 2 Point Processes.- 2.1 Basic Concepts of Point Processes.- 2.2 Types of Point Processes.- 2.3 Non-Dynamic Point Process Models.- 2.4 Censoring and Time-Varying Covariates.- 2.5 Outlook on Dynamic Extensions.- 3 Economic Implications of Financial Durations.- 3.1 Types of Financial Durations.- 3.2 The Role of Trade Durations in Market Microstructure Theory.- 3.3 Risk Estimation based on Price Durations.- 3.4 Liquidity Measurement.- 4 Statistical Properties of Financial Durations.- 4.1 Data Preparation Issues.- 4.2 Transaction Databases and Data Preparation.- 4.3 Statistical Properties of Trade, Limit Order and Quote Durations.- 4.4 Statistical Properties of Price Durations.- 4.5 Statistical Properties of (Excess) Volume Durations.- 4.6 Summarizing the Statistical Findings.- 5 Autoregressive Conditional Duration Models.- 5.1 ARMA Models for (Log-)Durations.- 5.2 The ACD Model.- 5.3 Extensions of the ACD Framework.- 5.4 Testing the ACD Model.- 5.5 Applications of ACD Models.- 6 Semiparametric Dynamic Proportional Intensity Models.- 6.1 Dynamic Integrated Intensity Processes.- 6.2 The Semiparametric ACPI Model.- 6.3 Properties of the Semiparametric ACPI Model.- 6.4 Extensions of the ACPI Model.- 6.5 Testing the ACPI Model.- 6.6 Estimating Volatility Using the ACPI Model.- 7 Univariate and Multivariate Dynamic Intensity Models.- 7.1 Univariate Dynamic Intensity Models.- 7.2 Multivariate Dynamic Intensity Models.- 7.3 Dynamic Latent Factor Models for Intensity Processes.- 7.4 Applications of Dynamic Intensity Models.- 8 Summary and Conclusions.- A Important Distributions for Duration Data.- B List of Symbols (in Alphabetical Order).- References.

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