IDEAS home Printed from https://ideas.repec.org/a/spr/jclass/v27y2010i2p231-275.html
   My bibliography  Save this article

Wavelet-based Fuzzy Clustering of Time Series

Author

Listed:
  • Elizabeth Ann Maharaj
  • Pierpaolo D’Urso
  • Don Galagedera

Abstract

No abstract is available for this item.

Suggested Citation

  • Elizabeth Ann Maharaj & Pierpaolo D’Urso & Don Galagedera, 2010. "Wavelet-based Fuzzy Clustering of Time Series," Journal of Classification, Springer;The Classification Society, vol. 27(2), pages 231-275, September.
    • Handle: RePEc:spr:jclass:v:27:y:2010:i:2:p:231-275
    DOI: 10.1007/s00357-010-9058-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00357-010-9058-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00357-010-9058-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Basalto, Nicolas & Bellotti, Roberto & De Carlo, Francesco & Facchi, Paolo & Pantaleo, Ester & Pascazio, Saverio, 2007. "Hausdorff clustering of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 635-644.
    2. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    3. Caiado, Jorge & Crato, Nuno & Pena, Daniel, 2006. "A periodogram-based metric for time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2668-2684, June.
    4. Heungsun Hwang & Wayne Desarbo & Yoshio Takane, 2007. "Fuzzy Clusterwise Generalized Structured Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 181-198, June.
    5. Willem Heiser & Patrick Groenen, 1997. "Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 63-83, March.
    6. Maharaj, Elizabeth A. & Alonso, Andres M., 2007. "Discrimination of locally stationary time series using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 879-895, October.
    7. Dose, Christian & Cincotti, Silvano, 2005. "Clustering of financial time series with application to index and enhanced index tracking portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 145-151.
    8. Fifield, S G M & Power, D M & Sinclair, C D, 2002. "Macroeconomic Factors and Share Returns: An Analysis Using Emerging Market Data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(1), pages 51-62, January.
    9. Harvey, Campbell R, 1991. "The World Price of Covariance Risk," Journal of Finance, American Finance Association, vol. 46(1), pages 111-157, March.
    10. Ferson, Wayne E & Harvey, Campbell R, 1993. "The Risk and Predictability of International Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 527-566.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moliner, Jesús & Epifanio, Irene, 2019. "Robust multivariate and functional archetypal analysis with application to financial time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 195-208.
    2. Pierpaolo D’Urso & María Ángeles Gil, 2017. "Fuzzy data analysis and classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 645-657, December.
    3. Antonis A. Michis, 2021. "Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 443-480, October.
    4. Xu Gao & Babak Shahbaba & Hernando Ombao, 2018. "Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States," Journal of Classification, Springer;The Classification Society, vol. 35(3), pages 549-579, October.
    5. Carolina Euán & Hernando Ombao & Joaquín Ortega, 2018. "The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure," Journal of Classification, Springer;The Classification Society, vol. 35(1), pages 71-99, April.
    6. Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A robust method for clustering football players with mixed attributes," Annals of Operations Research, Springer, vol. 325(1), pages 9-36, June.
    7. Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari & Dario Lallo, 2013. "Noise fuzzy clustering of time series by autoregressive metric," METRON, Springer;Sapienza Università di Roma, vol. 71(3), pages 217-243, November.
    8. Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari, 2021. "Trimmed fuzzy clustering of financial time series based on dynamic time warping," Annals of Operations Research, Springer, vol. 299(1), pages 1379-1395, April.
    9. Angela Montanari & Daniela Calò, 2013. "Model-based clustering of probability density functions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(3), pages 301-319, September.

    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. Ito, Akitoshi, 1999. "Profits on technical trading rules and time-varying expected returns: evidence from Pacific-Basin equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 283-330, August.
    2. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    3. Boyer, Marcel & Cherkaoui, Mouna & Ghysels, Eric, 1997. "L’intégration des marchés émergents et la modélisation des rendements des actifs risqués," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 311-330, mars-juin.
    4. Kim Nummelin & Mika Vaihekoski, 2002. "World capital markets and Finnish stock returns," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 322-343.
    5. Chaieb, Ines & Errunza, Vihang, 2007. "International asset pricing under segmentation and PPP deviations," Journal of Financial Economics, Elsevier, vol. 86(2), pages 543-578, November.
    6. Kabir Hassan, M. & Maroney, Neal C. & Monir El-Sady, Hassan & Telfah, Ahmad, 2003. "Country risk and stock market volatility, predictability, and diversification in the Middle East and Africa," Economic Systems, Elsevier, vol. 27(1), pages 63-82, March.
    7. Davide Lombardo & Marco Pagano, 1999. "Law and Equity Markets: a Simple Model," CSEF Working Papers 25, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    8. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
    9. Mika Vaihekoski, 1998. "Short-term returns and the predictability of Finnish stock returns," Finnish Economic Papers, Finnish Economic Association, vol. 11(1), pages 19-36, Spring.
    10. Eugene F. Fama & Kenneth R. French, 1998. "Value versus Growth: The International Evidence," Journal of Finance, American Finance Association, vol. 53(6), pages 1975-1999, December.
    11. Wayne E. Ferson & Campbell R. Harvey, 1999. "Economic, Financial, and Fundamental Global Risk In and Out of the EMU," NBER Working Papers 6967, National Bureau of Economic Research, Inc.
    12. Daouk, Hazem & Lee, Charles M.C. & Ng, David, 2006. "Capital market governance: How do security laws affect market performance?," Journal of Corporate Finance, Elsevier, vol. 12(3), pages 560-593, June.
    13. Liu, Shen & Maharaj, Elizabeth Ann, 2013. "A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 32-49.
    14. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    15. Hjalmarsson, Erik, 2010. "Predicting Global Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 49-80, February.
    16. Campbell R. Harvey, 1994. "Conditional Asset Allocation in Emerging Markets," NBER Working Papers 4623, National Bureau of Economic Research, Inc.
    17. Heston, Steven L. & Rouwenhorst, K. Geert & Wessels, Roberto E., 1995. "The structure of international stock returns and the integration of capital markets," Journal of Empirical Finance, Elsevier, vol. 2(3), pages 173-197, September.
    18. Charles P. Thomas & Francis E. Warnock & Jon Wongswan, 2004. "The Performance of International Equity Portfolios," International Finance Discussion Papers 817, Board of Governors of the Federal Reserve System (U.S.).
    19. Rendu de Lint, Christel, 2002. "Risk profiles: how do they change when stock markets collapse?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 59-80, February.
    20. Bailey, Warren & Peter Chung, Y., 1996. "Risk and return in the Philippine equity market: A multifactor exploration," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 197-218, July.

    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:spr:jclass:v:27:y:2010:i:2:p:231-275. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.