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Dual Focus on Systemic Risk in Portfolio Management

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10252959" target="_blank" >RIV/61989100:27510/23:10252959 - isvavai.cz</a>

  • Result on the web

    <a href="https://drive.google.com/file/d/1wlzvkm-tOveKAn-k0uagT6RFIo6IjhIK/view" target="_blank" >https://drive.google.com/file/d/1wlzvkm-tOveKAn-k0uagT6RFIo6IjhIK/view</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15240/tul/009/lef-2023-43" target="_blank" >10.15240/tul/009/lef-2023-43</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dual Focus on Systemic Risk in Portfolio Management

  • Original language description

    In this paper, we examine a complex portfolio selection strategy with a dual emphasis on systemic risk. This strategy or only its elements are advisable for both portfolio managers as well as macroprudential regulators. In particular, first, we present the concept of an early warning system (alarm) employing selected entropy measures, which allow us to detect systemic risk in financial markets. Secondly, we apply the two-phase optimization framework to determine the optimal composition of the portfolio. Essentially, the first phase of this strategy includes the reward-risk ratio maximization part and the following phase aims at systematic risk minimization. Furthermore, we approximate the returns using a dynamic set of components obtained from the principal component analysis and the classical ordinary least squares regression. In the empirical analysis using US market data, the wealth paths and statistics of different portfolio strategies are compared with each other. Ex-post results confirm higher profitability of the early warning system with double optimization, even if the transaction costs are taken into account. However, the main benefit lies in the significantly better risk properties of the proposed strategy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GA23-07128S" target="_blank" >GA23-07128S: Market based measures of systemic risk using synthetic CDOs</a><br>

  • Continuities

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

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Liberec Economic Forum 2023 : proceedings of the 16th international conference : 5th – 6 th September 2023, Liberec, Czech Republic, EU

  • ISBN

    978-80-7494-672-1

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    396-406

  • Publisher name

    Technical University of Liberec

  • Place of publication

    Liberec

  • Event location

    Liberec

  • Event date

    Sep 5, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    001582505100043