IDEAS home Printed from https://ideas.repec.org/a/eee/revfin/v26y2015icp55-64.html
   My bibliography  Save this article

Market-timing the business cycle

Author

Listed:
  • Peláez, Rolando F.

Abstract

As a group, professional portfolio managers have been largely unable to outperform the market buy-and-hold benchmark. Likewise, professional forecasters have been unable to predict recessions reliably. The paper contributes to the literature in two significant respects. First, the Recession Probability Model herein correctly forecasts out-of-sample the probability of a downturn and the binary state over a 45-year validation sample. This is important as it is around cyclical turning points that forecast errors are largest, and dependable forecasts are most useful. Reliable recession forecasts are essential for risk-management, planning capital outlays, and for portfolio management. Moreover, accurate forecasts of the turn allow policy-makers to mitigate the social cost of recessions. Second, the paper shows that it is extremely profitable to switch from equities to T-bills when the one-quarter-ahead probability of recession reaches a certain threshold. Several market-timing rules dominate the buy-and-hold in terms of the risk-adjusted measures of Treynor, Sharpe, and Jensen. One trading rule achieves triple the terminal wealth of the buy-and-hold.

Suggested Citation

  • Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
  • Handle: RePEc:eee:revfin:v:26:y:2015:i:c:p:55-64
    DOI: 10.1016/j.rfe.2015.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1058330015000221
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rfe.2015.03.003?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. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    2. S. Borağan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 319-340, March.
    3. Hendry, David F., 2000. "Econometrics: Alchemy or Science?: Essays in Econometric Methodology," OUP Catalogue, Oxford University Press, number 9780198293545, Decembrie.
    4. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    5. Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
    6. Victor Zarnowitz & Phillip Braun, 1993. "Twenty-two Years of the NBER-ASA Quarterly Economic Outlook Surveys: Aspects and Comparisons of Forecasting Performance," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 11-94, National Bureau of Economic Research, Inc.
    7. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    8. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    9. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    10. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    11. James H. Stock & Mark W. Watson, 2003. "How did leading indicator forecasts perform during the 2001 recession?," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 89(Sum), pages 71-90.
    12. Geoffrey H. Moore, 1983. "Business Cycles, Inflation, and Forecasting, 2nd edition," NBER Books, National Bureau of Economic Research, Inc, number moor83-1, March.
    13. Dan Chin & John Geweke & Preston Miller, 2000. "Predicting Turning Points: Technical Paper 2000-3," Working Papers 13337, Congressional Budget Office.
    14. Chang, Eric C & Lewellen, Wilbur G, 1984. "Market Timing and Mutual Fund Investment Performance," The Journal of Business, University of Chicago Press, vol. 57(1), pages 57-72, January.
    15. Rendigs Fels & C. Elton Hinshaw, 1968. "Forecasting and Recognizing Business Cycle Turning Points," NBER Books, National Bureau of Economic Research, Inc, number fels68-1, March.
    16. David F. Hendry & Neil R. Ericsson (ed.), 2003. "Understanding Economic Forecasts," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582422, December.
    17. Geoffrey H. Moore, 1983. "Introductory pages to "Business Cycles, Inflation, and Forecasting, 2nd edition"," NBER Chapters, in: Business Cycles, Inflation, and Forecasting, 2nd edition, pages -25, National Bureau of Economic Research, Inc.
    18. Goetzmann, William N. & Ingersoll, Jonathan & Ivković, Zoran, 2000. "Monthly Measurement of Daily Timers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 257-290, September.
    19. Malkiel, Burton G, 1995. "Returns from Investing in Equity Mutual Funds 1971 to 1991," Journal of Finance, American Finance Association, vol. 50(2), pages 549-572, June.
    20. Ana Beatriz C. Galvao, 2006. "Structural break threshold VARs for predicting US recessions using the spread," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 463-487.
    21. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    22. Chen, Yong & Liang, Bing, 2007. "Do Market Timing Hedge Funds Time the Market?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(4), pages 827-856, December.
    23. Fama, Eugene F, 1972. "Components of Investment Performance," Journal of Finance, American Finance Association, vol. 27(3), pages 551-567, June.
    24. Stephen K. McNees, 1987. "Forecasting cyclical turning points: the record in the past three recessions," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 31-40.
    25. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    26. Heikki Kauppi & Pentti Saikkonen, 2008. "Predicting U.S. Recessions with Dynamic Binary Response Models," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 777-791, November.
    27. Richard A. Ippolito, 1989. "Efficiency with Costly Information: A Study of Mutual Fund Performance, 1965–1984," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(1), pages 1-23.
    28. Don Harding & Adrian Pagan, 2010. "Can We Predict Recessions?," NCER Working Paper Series 69, National Centre for Econometric Research.
    29. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164, Decembrie.
    30. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    31. Henriksson, Roy D, 1984. "Market Timing and Mutual Fund Performance: An Empirical Investigation," The Journal of Business, University of Chicago Press, vol. 57(1), pages 73-96, January.
    32. Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," The Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July.
    33. Wallis, Kenneth F, 1989. "Macroeconomic Forecasting: A Survey," Economic Journal, Royal Economic Society, vol. 99(394), pages 28-61, March.
    34. Daniel M. Chin & John Geweke & Preston J. Miller, 2000. "Predicting turning points," Staff Report 267, Federal Reserve Bank of Minneapolis.
    35. Jonathan H. Wright, 2006. "The yield curve and predicting recessions," Finance and Economics Discussion Series 2006-07, Board of Governors of the Federal Reserve System (U.S.).
    36. James H. Stock & Mark W. Watson, 2010. "Indicators for Dating Business Cycles: Cross-History Selection and Comparisons," American Economic Review, American Economic Association, vol. 100(2), pages 16-19, May.
    37. Tyler Atkinson & David Luttrell & Harvey Rosenblum, 2013. "How bad was it? The costs and consequences of the 2007–09 financial crisis," Staff Papers, Federal Reserve Bank of Dallas, issue Jul.
    38. Geoffrey H. Moore, 1983. "Appendices to "Business Cycles, Inflation, and Forecasting, 2nd edition"," NBER Chapters, in: Business Cycles, Inflation, and Forecasting, 2nd edition, pages 453-473, National Bureau of Economic Research, Inc.
    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. Fomin, M., 2016. "Business cycles and acquisition policy: Analysis of M&A deals of metallurgical companies," Working Papers 6441, Graduate School of Management, St. Petersburg State University.

    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. Rolando F. Peláez, 2015. "Market‐timing the business cycle," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 55-64, September.
    2. Rolando F. Peláez, 2015. "A recession‐and‐state forecasting model," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 1025-1039, April.
    3. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    4. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    5. Roberto Casarin & Andrea Piva & Loriana Pelizzon, 2008. "Italian Equity Funds: Efficiency and Performance Persistence," The IUP Journal of Financial Economics, IUP Publications, vol. 0(1), pages 7-28, March.
    6. Wagner, Moritz & Margaritis, Dimitris, 2017. "All about fun(ds) in emerging markets? The case of equity mutual funds," Emerging Markets Review, Elsevier, vol. 33(C), pages 62-78.
    7. Peláez, Rolando F., 2015. "A biannual recession-forecasting model," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 384-393.
    8. Shafiqur Rahman & Cheng-Few Lee & Yaqing Xiao, 2017. "The investment performance, attributes, and investment behavior of ethical equity mutual funds in the US: an empirical investigation," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 91-116, July.
    9. Fadillah Mansor & M. Ishaq Bhatti & Shafiqur Rahman & Hung Quang Do, 2020. "The Investment Performance of Ethical Equity Funds in Malaysia," JRFM, MDPI, vol. 13(9), pages 1-14, September.
    10. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    11. Chen, Li-Wen & Adams, Andrew & Taffler, Richard, 2013. "What style-timing skills do mutual fund “stars” possess?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 156-173.
    12. Anjum, Sohail & Qayyum, Unbreen & Qureshi, Madeeha Gohar, 2019. "Aggregate performance evaluation of US Equity Mutual Funds - Explaining the performance of Growth Funds vs. Value Funds," MPRA Paper 100043, University Library of Munich, Germany.
    13. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    14. Keith Pilbeam & Hamish Preston, 2019. "An Empirical Investigation of the Performance of Japanese Mutual Funds: Skill or Luck?," IJFS, MDPI, vol. 7(1), pages 1-16, January.
    15. Christensen, Michael, 2005. "Danish Mutual Fund Performance - Selectivity, Market Timing and Persistence," Finance Research Group Working Papers F-2005-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    16. Cuthbertson, Keith & Nitzsche, Dirk, 2013. "Performance, stock selection and market timing of the German equity mutual fund industry," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 86-101.
    17. Romacho, Joao Carlos & Cortez, Maria Ceu, 2006. "Timing and selectivity in Portuguese mutual fund performance," Research in International Business and Finance, Elsevier, vol. 20(3), pages 348-368, September.
    18. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, Sciendo, vol. 10(2), pages 60-80, January.
    19. Chih-Chiang Wu, 2011. "Measuring mutual fund asymmetric performance in changing market conditions: evidence from a Bayesian threshold model," Applied Financial Economics, Taylor & Francis Journals, vol. 21(16), pages 1185-1204.
    20. Pankaj K. Agarwal & H. K. Pradhan, 2018. "Mutual Fund Performance Using Unconditional Multifactor Models: Evidence from India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 157-184, August.

    More about this item

    Keywords

    Market-timing; Forecasting; Recessions;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:eee:revfin:v:26:y:2015:i:c:p:55-64. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620170 .

    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.