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Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00434200" target="_blank" >RIV/67985556:_____/16:00434200 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11230/16:10281368

  • Result on the web

    <a href="http://dx.doi.org/10.1093/jjfinec/nbu029" target="_blank" >http://dx.doi.org/10.1093/jjfinec/nbu029</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/jjfinec/nbu029" target="_blank" >10.1093/jjfinec/nbu029</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility

  • Original language description

    This paper investigates how the conditional quantiles of future returns and volatility of financial assets vary with various measures of ex post variation in asset prices as well as option-implied volatility. We work in the flexible quantile regression framework and rely on recently developed model-free measures of integrated variance, upside and downside semivariance, and jump variation. Our results for the S&P 500 and WTI Crude Oil futures contracts show that simple linear quantile regressions for returns and heterogenous quantile autoregressions for realized volatility perform very well in capturing the dynamics of the respective conditional distributions, both in absolute terms as well as relative to a couple of well-established benchmark models. The models can therefore serve as useful risk management tools for investors trading the futures contracts themselves or various derivative contracts written on realized volatility.

  • 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/GA13-32263S" target="_blank" >GA13-32263S: Multivariate spectral analysis of financial markets</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Financial Econometrics

  • ISSN

    1479-8409

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    42

  • Pages from-to

    185-226

  • UT code for WoS article

    000369231300006

  • EID of the result in the Scopus database

    2-s2.0-84964589288