IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v63y2015i8p15-26.html
   My bibliography  Save this article

HCA Techniques Applied to Financial Analysis

Author

Listed:
  • Stefan-Alexandru Ionescu

    (Romanian Academy)

Abstract

Cluster analysis can be regarded as an instrument whose purpose is the reduction of object sets, or even of variables, to a smaller number of information entities, which are the classes or the clusters. Nevertheless, although cluster analysis, viewed as a collection of methods and techniques used for the classification of objects, is applied in the space of variables, we notice the frequent use of these techniques of analysis for the classification of objects. In this paper we have shown how these techniques can be applied in the economic-financial field and how the number of classes in which companies can be divided can be detected by observing the existing latent structure

Suggested Citation

  • Stefan-Alexandru Ionescu, 2015. "HCA Techniques Applied to Financial Analysis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(8), pages 15-26, August.
    • Handle: RePEc:rsr:supplm:v:63:y:2015:i:8:p:15-26
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2015/09/RRSS_08_2015_A01_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephan Dieckmann & Thomas Plank, 2012. "Default Risk of Advanced Economies: An Empirical Analysis of Credit Default Swaps during the Financial Crisis," Review of Finance, European Finance Association, vol. 16(4), pages 903-934.
    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. Shahzad, Syed Jawad Hussain & Naifar, Nader & Hammoudeh, Shawkat & Roubaud, David, 2017. "Directional predictability from oil market uncertainty to sovereign credit spreads of oil-exporting countries: Evidence from rolling windows and crossquantilogram analysis," Energy Economics, Elsevier, vol. 68(C), pages 327-339.
    2. Galariotis, Emilios C. & Makrichoriti, Panagiota & Spyrou, Spyros, 2016. "Sovereign CDS spread determinants and spill-over effects during financial crisis: A panel VAR approach," Journal of Financial Stability, Elsevier, vol. 26(C), pages 62-77.
    3. Nader Naifar & Shawkat Hammoudeh & Aviral Kumar Tiwari, 2019. "Do Energy and Banking CDS Sector Spreads Reflect Financial Risks and Economic Policy Uncertainty? A Time-Scale Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 507-534, August.
    4. Andreeva, Desislava & Vlassopoulos, Thomas, 2016. "Home bias in bank sovereign bond purchases and the bank-sovereign nexus," Working Paper Series 1977, European Central Bank.
    5. Arbia, Giuseppe & Bramante, Riccardo & Facchinetti, Silvia & Zappa, Diego, 2018. "Modeling inter-country spatial financial interactions with Graphical Lasso: An application to sovereign co-risk evaluation," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 72-79.
    6. Afonso, António & Alves, José & Monteiro, Sofia, 2024. "Sovereign risk dynamics in the EU: The time varying relevance of fiscal and external (im)balances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    7. Calice, Giovanni & Mio, RongHui & Štěrba, Filip & Vašíček, Bořek, 2015. "Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 174-189.
    8. Jeanneret, Alexandre, 2018. "Sovereign credit spreads under good/bad governance," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 230-246.
    9. Drakos, Anastasios & Moratis, Georgios, 2024. "The impact of COVID-19 on sovereign contagion," Journal of Financial Stability, Elsevier, vol. 70(C).
    10. Chari, Anusha & Garcés, Felipe & Martínez, Juan Francisco & Valenzuela, Patricio, 2024. "Sovereign credit spreads, banking fragility, and global factors," Journal of Financial Stability, Elsevier, vol. 72(C).
    11. Nicholas Apergis & Ahdi Noomen Ajmi, 2015. "Systemic Sovereign Risk and Asset Prices: Evidence from the CDS Market, Stressed European Economies and Nonlinear Causality Tests," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 106-126, April.
    12. Brent Glover & Seth Richards-Shubik, 2014. "Contagion in the European Sovereign Debt Crisis," NBER Working Papers 20567, National Bureau of Economic Research, Inc.
    13. Lafuente, Juan Angel & Serrano, Pedro, 2015. "On the compensation for illiquidity in sovereign credit markets," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 83-100.
    14. Brutti, Filippo & Sauré, Philip, 2015. "Transmission of sovereign risk in the Euro crisis," Journal of International Economics, Elsevier, vol. 97(2), pages 231-248.
    15. Ureche-Rangau, Loredana & Burietz, Aurore, 2013. "One crisis, two crises…the subprime crisis and the European sovereign debt problems," Economic Modelling, Elsevier, vol. 35(C), pages 35-44.
    16. Zongxin Qian & Qian Luo, 2016. "Regime-Dependent Determinants of China’s Sovereign Credit Default Swap Spread," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(1), pages 10-21, January.
    17. Gregory Connor & Brian O'Kelly, 2012. "A Coasean Approach to Bank Resolution Policy in the Eurozone," Economics Department Working Paper Series n233-12.pdf, Department of Economics, National University of Ireland - Maynooth.
    18. Manuel Buchholz & Lena Tonzer, 2016. "Sovereign Credit Risk Co-Movements in the Eurozone: Simple Interdependence or Contagion?," International Finance, Wiley Blackwell, vol. 19(3), pages 246-268, December.
    19. António Afonso & André Teixeira, 2023. "Bank Regulation and Sovereign Risk: A Paradox," Working Papers REM 2023/0272, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    20. Agliardi, Elettra & Pinar, Mehmet & Stengos, Thanasis, 2014. "A sovereign risk index for the Eurozone based on stochastic dominance," Finance Research Letters, Elsevier, vol. 11(4), pages 375-384.

    More about this item

    Keywords

    cluster analysis; financial analysis;

    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:rsr:supplm:v:63:y:2015:i:8:p:15-26. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.