IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/39944.html
   My bibliography  Save this paper

Early warning indicator of economic vulnerability

Author

Listed:
  • Wong, Shirly Siew-Ling
  • Puah, Chin-Hong
  • Abu Mansor, Shazali
  • Liew, Venus Khim-Sen

Abstract

The initiative to capture the information content behind the rise and fall of the business cycle has popularized the study of leading indicators. Many of the foreign experiences shared by economically advanced countries reveal that the leading indicator approach works well as a short-term forecasting tool. Thus, exploring an indicator-based forecasting tool for business cycle analysis and economic risk monitoring would provide insight into the Malaysian economy as well as that of other emerging countries. By extending the ideology of indicator construction from the US National Bureau of Economic Research (NBER), the present study demonstrated the strong potential of the leading indicator approach to be a good gauge of the business cycle movement in addition to being a practical and functional early warning indicator for economic vulnerability prediction.

Suggested Citation

  • Wong, Shirly Siew-Ling & Puah, Chin-Hong & Abu Mansor, Shazali & Liew, Venus Khim-Sen, 2012. "Early warning indicator of economic vulnerability," MPRA Paper 39944, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:39944
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/39944/1/MPRA_paper_39944.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aslihan Atabek & Evren Erdogan Cosar & Saygin Sahinöz, 2005. "A New Composite Leading Indicator for Turkish Economic Activity," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(1), pages 45-64, January.
    2. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    3. Krzysztof Zalewski, 2009. "Forecasting Turning Points with Composite Leading Indicators - the Case of Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 24.
    4. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," The Journal of Business, University of Chicago Press, vol. 62(3), pages 369-391, July.
    5. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    6. Herrara, Santiago & Garcia, Conrado, 1999. "User's guide to an early warning system for macroeconomic vulnerability in Latin American countries," Policy Research Working Paper Series 2233, The World Bank.
    7. Henk Kranendonk & Jan Bonenkamp & Johan Verbruggen, 2005. "A Leading Indicator for the Dutch Economy," Contributions to Economics, in: Jan-Egbert Sturm & Timo Wollmershäuser (ed.), Ifo Survey Data in Business Cycle and Monetary Policy Analysis, pages 115-142, Springer.
    8. Everhart, Stephen S. & Duval-Hernandez, Robert, 2000. "Leading indicator project - Lithuania," Policy Research Working Paper Series 2365, The World Bank.
    9. Miroslav Klúcik & Ján Haluška, 2008. "Construction of composite leading indicator for the Slovak economy," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 55, pages 363-370, November.
    10. Vincent, BODART & Konstantin A., KHOLODILIN & Fati, SHADMAN-MEHTA, 2003. "Dating and Forecasting the Belgian Business Cycle," LIDAM Discussion Papers IRES 2003018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    11. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
    12. Stan du Plessis, 2006. "Business Cycles in Emerging market Economies: A New View of the Stylised Facts," Working Papers 02/2006, Stellenbosch University, Department of Economics.
    13. Geoffrey H. Moore & Victor Zarnowitz, 1986. "Appendix A: The Development and Role of the National Bureau of Economic Research's Business Cycle Chronologies," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 735-780, National Bureau of Economic Research, Inc.
    14. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    15. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    16. Samuelson, Paul A, 1976. "Optimality of Sluggish Predictors under Ergodic Probabilities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(1), pages 1-7, February.
    17. Wong, Shirly Siew-Ling & Abu Mansor, Shazali & Puah, Chin-Hong & Liew, Venus Khim-Sen, 2012. "Forecasting malaysian business cycle movement: empirical evidence from composite leading indicator," MPRA Paper 36649, University Library of Munich, Germany.
    18. Michael Meow-Chung Yap, 2009. "Assessing Malaysia’s Business Cycle indicators," Monash Economics Working Papers 04-09, Monash University, Department of Economics.
    19. Wesley Clair Mitchell & Arthur F. Burns, 1938. "Statistical Indicators of Cyclical Revivals," NBER Books, National Bureau of Economic Research, Inc, number mitc38-1.
    20. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    21. Wolfgang Polasek, 2010. "Dating and Exploration of the Business Cycle in Iceland," Working Paper series 13_10, Rimini Centre for Economic Analysis.
    22. Stephen Everhart & Robert Duval-Hernandez, 2001. "Short Term Macro Monitoring: Leading Indicator Construction-Mexico," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0108, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    23. Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November.
    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. Venus Khim-Sen Liew & Racquel Anak Rowland & Puah Chin Hong & Jerome Kueh Swee Hui & Rossazana Bt Ab Rahim & Shirly Wong Siew Ling, 2018. "Macroeconomic Instability Index and Malaysia Economic Performance," International Business Research, Canadian Center of Science and Education, vol. 11(3), pages 179-185, March.
    2. Mei-Teing Chong & Chin-Hong Puah & Shazali Abu Mansor, 2018. "Oil Price Dynamics Forecasting: An Indicator-Pivoted Paradigm," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 307-311.
    3. Soh, Ann-Ni, 2020. "A Review on the Leading Indicator Approach towards Economic Forecasting," MPRA Paper 103854, University Library of Munich, Germany.
    4. Chin-Hong Puah, & Tai-Hock Kuek, & M. Affendy Arip,, 2017. "Assessing Thailand’s financial vulnerability: An early warning approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(4), pages 496-505, October.
    5. Mei-Teing Chong & Chin-Hong Puah & Shazali Abu Mansor, 2018. "Constructing a Composite Leading Indicator for the Global Crude Oil Price," International Business Research, Canadian Center of Science and Education, vol. 11(5), pages 129-134, May.
    6. Ann-Ni Soh & Chin-Hong Puah & M. Affendy Arip, 2019. "Forecasting Tourism Demand with Composite Indicator Approach for Fiji," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 12-22, December.

    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. Wong, Shirly Siew-Ling & Abu Mansor, Shazali & Puah, Chin-Hong & Liew, Venus Khim-Sen, 2012. "Forecasting malaysian business cycle movement: empirical evidence from composite leading indicator," MPRA Paper 36649, University Library of Munich, Germany.
    2. Shirly Siew-Ling Wong & Toh-Hao Tan & Shazali Abu Mansor & Venus Khim-Sen Liew, 2018. "Rethinking and Moving Beyond GDP: A New Measure of Sarawak Economy Panorama," International Business Research, Canadian Center of Science and Education, vol. 11(12), pages 127-133, December.
    3. Shirly Siew-Ling WONG & Chin-Hong PUAH & Shazali ABU MANSOR & Venus Khim-Sen LIEW, 2016. "Measuring Business Cycle Fluctuations: An Alternative Precursor To Economic Crises," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 235-248.
    4. Duo Qin, 2010. "Econometric Studies of Business Cycles in the History of Econometrics," Working Papers 669, Queen Mary University of London, School of Economics and Finance.
    5. Bruno, Giancarlo & Otranto, Edoardo, 2008. "Models to date the business cycle: The Italian case," Economic Modelling, Elsevier, vol. 25(5), pages 899-911, September.
    6. Enrique A. López-Enciso, 2017. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Borradores de Economia 986, Banco de la Republica de Colombia.
    7. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.
    8. Rachel Male, 2010. "Developing Country Business Cycles: Characterising the Cycle," Working Papers 663, Queen Mary University of London, School of Economics and Finance.
    9. Terence C. Mills & Ping Wang, 2003. "Multivariate Markov Switching Common Factor Models for the UK," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 177-193, April.
    10. Charles, Amélie & Darné, Olivier & Diebolt, Claude & Ferrara, Laurent, 2015. "A new monthly chronology of the US industrial cycles in the prewar economy," Journal of Financial Stability, Elsevier, vol. 17(C), pages 3-9.
    11. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    12. George Athanasopoulos & Heather M. Anderson & Farshid Vahid, 2007. "Nonlinear autoregressive leading indicator models of output in G-7 countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 63-87.
    13. Esteban Pérez Caldentey & Daniel Titelman & Pablo Carvallo, 2014. "Weak Expansions: A Distinctive Feature of the Business Cycle in Latin America and the Caribbean," World Economic Review, World Economics Association, vol. 2014(3), pages 1-69, February.
    14. Yýlmaz Akdi & Serdar Varlik & Hakan Berument, 2018. "Cycle Duration in Production with Periodicity – Evidence from Turkey," International Econometric Review (IER), Econometric Research Association, vol. 10(2), pages 24-32, September.
    15. Harm Bandholz, 2005. "New Composite Leading Indicators for Hungary and Poland," ifo Working Paper Series 3, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    17. Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
    18. Proaño, Christian R. & Tarassow, Artur, 2018. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," Journal of the Japanese and International Economies, Elsevier, vol. 50(C), pages 60-71.
    19. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2011. "Recessions and Financial Disruptions in Emerging Markets: A Bird’s Eye View," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Felipe Céspedes & Roberto Chang & Diego Saravia (ed.),Monetary Policy under Financial Turbulence, edition 1, volume 16, chapter 4, pages 059-104, Central Bank of Chile.
    20. Sergey V. Smirnov & Nikolay V. Kondrashov & Anna V. Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 53-73, May.

    More about this item

    Keywords

    Business Cycle; Composite Leading Indicator; Early Warning Indicator;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:39944. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.