IDEAS home Printed from https://ideas.repec.org/a/sgm/pzwzuw/v15i66y2017p193-206.html
   My bibliography  Save this article

Indeks stresu na rynku zbywalnych instrumentow finansowych w Polsce

Author

Listed:
  • Igor Kravchuk

    (Tarnopolski Narodowy Uniwersytet Ekonomiczny)

Abstract

The aim of the study is to verify the turbulence in the negotiable financial instruments market in Poland, by evaluating the composite stress index, which includes indicators concerning the stock market (volatility, liquidity, CMAX based on stock index WIG), the bond market (volatility of 10-year Treasury bonds, their liquidity, the sovereign spread and the yield curve spread) and the derivatives market (the change in the number of open positions and volume in the futures and options market). The analysis of index values for the years 2007–2015 confirms the robustness of the stress index (FIMSI) in the diagnosis of stresses in the market (when the index value exceeds the long-term trend by more than 1 standard deviation).

Suggested Citation

  • Igor Kravchuk, 2017. "Indeks stresu na rynku zbywalnych instrumentow finansowych w Polsce," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 193-206.
    • Handle: RePEc:sgm:pzwzuw:v:15:i:66:y:2017:p:193-206
    as

    Download full text from publisher

    File URL: http://pz.wz.uw.edu.pl/sites/default/files/artykuly/pz_2017_1_2_bedowska-sojka.pdf
    Download Restriction: no
    File URL: http://pz.wz.uw.edu.pl/en
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chordia, Tarun & Subrahmanyam, Avanidhar & Anshuman, V. Ravi, 2001. "Trading activity and expected stock returns," Journal of Financial Economics, Elsevier, vol. 59(1), pages 3-32, January.
    2. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    3. repec:bla:intfin:v:4:y:2001:i:2:p:221-55 is not listed on IDEAS
    4. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    5. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    6. Ian Domowitz & Jack Glen & Ananth Madhavan, 2001. "Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255.
    7. Amihud, Yakov & Mendelson, Haim & Pedersen, Lasse Heje, 2006. "Liquidity and Asset Prices," Foundations and Trends(R) in Finance, now publishers, vol. 1(4), pages 269-364, February.
    8. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    9. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    10. Yakov Amihud & Haim Mendelson, 2015. "The Pricing of Illiquidity as a Characteristic and as Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 19(3), pages 149-168, September.
    11. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    12. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    13. Harris, Lawrence, 1990. "Statistical Properties of the Roll Serial Covariance Bid/Ask Spread Estimator," Journal of Finance, American Finance Association, vol. 45(2), pages 579-590, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barbara Bedowska-Sojka, 2017. "Porownanie miesiecznych miar plynnosci akcji spolek notowanych na GPW wyznaczanych na podstawie danych niskiej czestotliwosci," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 178-192.
    2. Będowska-Sójka, Barbara, 2019. "The dynamics of low-frequency liquidity measures: The developed versus the emerging market," Journal of Financial Stability, Elsevier, vol. 42(C), pages 136-142.
    3. Będowska-Sójka, Barbara, 2018. "The coherence of liquidity measures. The evidence from the emerging market," Finance Research Letters, Elsevier, vol. 27(C), pages 118-123.
    4. Diego Alejandro Martínez-Cruz, 2021. "Indicador Combinado de Liquidez para la Deuda Pública Local Colombiana," Borradores de Economia 1167, Banco de la Republica de Colombia.
    5. Huong Le & Andros Gregoriou, 2020. "How Do You Capture Liquidity? A Review Of The Literature On Low‐Frequency Stock Liquidity," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1170-1186, December.
    6. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
    7. Ayad Assoil & Ndéné Ka & Jules Sadefo-Kamdem, 2021. "Analysis of the dynamic relationship between liquidity proxies and returns on the French CAC 40 index," SN Business & Economics, Springer, vol. 1(10), pages 1-23, October.
    8. Donadelli, Michael & Prosperi, Lorenzo, 2012. "On the role of liquidity in emerging markets stock prices," Research in Economics, Elsevier, vol. 66(4), pages 320-348.
    9. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    10. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    11. Vu, Van & Chai, Daniel & Do, Viet, 2015. "Empirical tests on the liquidity-adjusted capital asset pricing model," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 73-89.
    12. Abankwa, Samuel & Blenman, Lloyd P., 2021. "Measuring liquidity risk effects on carry trades across currencies and regimes," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    13. Kim, Soon-Ho & Lee, Kuan-Hui, 2014. "Pricing of liquidity risks: Evidence from multiple liquidity measures," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 112-133.
    14. Kang, Wenjin & Zhang, Huiping, 2014. "Measuring liquidity in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 49-71.
    15. Belkhir, Mohamed & Saad, Mohsen & Samet, Anis, 2020. "Stock extreme illiquidity and the cost of capital," Journal of Banking & Finance, Elsevier, vol. 112(C).
    16. Lin, Ji-Chai & Singh, Ajai K. & Yu, Wen, 2009. "Stock splits, trading continuity, and the cost of equity capital," Journal of Financial Economics, Elsevier, vol. 93(3), pages 474-489, September.
    17. Nina Karnaukh & Angelo Ranaldo & Paul Söderlind, 2015. "Understanding FX Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3073-3108.
    18. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    19. de Jong, F.C.J.M. & Driessen, J.J.A.G., 2015. "Can large long-term investors capture illiquidity premiums," Other publications TiSEM 9c92b978-0099-44d3-9aab-8, Tilburg University, School of Economics and Management.
    20. Mousumi Bhattacharya & Sharad Nath Bhattacharya & Sumit Kumar Jha, 2022. "Does time-varying illiquidity matter for the Indian stock market? Evidence from high-frequency data," Australian Journal of Management, Australian School of Business, vol. 47(2), pages 251-272, May.

    More about this item

    Keywords

    stress index; negotiable financial instruments market; financial stability; market liquidity; market volatility;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sgm:pzwzuw:v:15:i:66:y:2017:p:193-206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.