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Financial Risk Meter for emerging markets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453721" target="_blank" >RIV/00216208:11320/22:10453721 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=V1PQFHfRMq" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=V1PQFHfRMq</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ribaf.2021.101594" target="_blank" >10.1016/j.ribaf.2021.101594</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Financial Risk Meter for emerging markets

  • Original language description

    In this paper, the daily systemic risk measure FRM (Financial Risk Meter) is proposed for emerging markets (FRM@EM). The FRM@EM is applied to capture systemic risk behavior embedded in the returns of the 25 largest EMs&apos; Financial Institutions (FIs), covering the BRIMST (Brazil, Russia, India, Mexico, South Africa, and Turkey), and thereby reflects the financial linkages between these economies. The results indicate that the FRM of EMs&apos; FIs reached its maximum during the US financial crisis following the COVID-19 crisis. In addition, we find that the Macro factors explain the BRIMST&apos; s FIs with various degrees of sensibility. Moreover, we propose a robust and well-diversified tail-event and cluster risk-sensitive portfolio allocation model named uplifted hierarchical risk parity (upHRP) and compare it to more classical approaches. Results indicate that the upHRP approach provides better diversification. Moreover, the upHRP portfolio overweights low-central FIs and underweights high-central ones.

  • 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/GX19-28231X" target="_blank" >GX19-28231X: DyMoDiF - Dynamic Models for the Digital Finance</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Research in International Business and Finance

  • ISSN

    0275-5319

  • e-ISSN

    1878-3384

  • Volume of the periodical

    60

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    26

  • Pages from-to

    101594

  • UT code for WoS article

    000768006000015

  • EID of the result in the Scopus database

    2-s2.0-85121373854