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An Empirical Model Of Fractionally Cointegrated Daily High And Low Stock Market Prices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F15%3A10281677" target="_blank" >RIV/00216208:11230/15:10281677 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/15:00434888

  • Result on the web

    <a href="http://www.sciencedirect.com/science/article/pii/S0264999314004647" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0264999314004647</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.econmod.2014.11.024" target="_blank" >10.1016/j.econmod.2014.11.024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Empirical Model Of Fractionally Cointegrated Daily High And Low Stock Market Prices

  • Original language description

    This work provides empirical support for the fractional cointegration relationship between daily high and low stock prices, allowing for the non-stationary volatility of stock market returns. The recently formalized fractionally cointegrated vector autoregressive (VAR) model is employed to explain both the cointegration dynamics between daily high and low stock prices and the long memory of their linear combination, i.e., the range. Daily high and low stock prices are of particular interest because theyprovide valuable information about range-based volatility, which is considered a highly efficient and robust estimator of volatility. We provide a comparison of the Czech PX index with other world market indices: the German Deutscher Aktienindex (DAX),U.K. Financial Times Stock Exchange (FTSE) 100, U.S. Standard and Poor's (S&P) 500 and Japanese Nihon Keizai Shimbun (NIKKEI) 225 during the 2003-2012 period, that is, before and during the financial crisis. We find that the ranges of all

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Economic Modelling

  • ISSN

    0264-9993

  • e-ISSN

  • Volume of the periodical

    45

  • Issue of the periodical within the volume

    February

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    193-206

  • UT code for WoS article

    000349589900019

  • EID of the result in the Scopus database

    2-s2.0-84918787787