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Quantile LASSO in arbitrage-free option markets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10419914" target="_blank" >RIV/00216208:11320/20:10419914 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=e_ZlvuHGHJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=e_ZlvuHGHJ</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecosta.2020.05.006" target="_blank" >10.1016/j.ecosta.2020.05.006</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantile LASSO in arbitrage-free option markets

  • Original language description

    The option price function and the implied volatility surface are both key tools for the derivative pricing strategies and the financial market analysis. Modern and sophisticated methods are used but their credibility suffered due to the financial crisis in 2007-2010. Instead, a method based on a standard semiparametric smoothing is proposed and the overall complexity and robustness (with respect to various anomalies, such as bid-ask spreads, discrete ticks in price, non-synchronous trading, or even heavy tailed error distributions) is achieved by using the conditional quantile estimation. The overestimation and the sparsity principle are adopted to introduce additional flexibility and the LASSO-type penalty and the set of well-defined linear constraints are employed to produce the final estimate which complies with the arbitrage-free criteria dictated by the financial theory. The theoretical results of the model are discussed, finite sample properties are investigated via a simulation study and a practical application of the proposed method is illustrated for the Apple Inc. (AAPL) call options.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GJ18-00522Y" target="_blank" >GJ18-00522Y: Advanced Econometric Models for Option Pricing – AdEMOP</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Econometrics and Statistics [online]

  • ISSN

    2452-3062

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

    000636803000009

  • EID of the result in the Scopus database

    2-s2.0-85087980387