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GDP mimicking portfolios and the cross-section of stock returns

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  • Kroencke, Tim A.
  • Schindler, Felix
  • Sebastian, Steffen
  • Theissen, Erik

Abstract

The components of GDP (residential investment, durables, nondurables, equipment and software, and business structures) display a pronounced lead-lag structure. We investigate the implications of this lead-lag structure for the cross-section of asset returns. We find that the leading GDP components perform well in explaining the returns of 25 size and book-to-market portfolios and do reasonably well in explaining the returns of 10 momentum portfolios. The lagging components do a poor job at explaining the returns of 25 size and book-to-market portfolios but explain the return of momentum portfolios very well. A three-factor model with the market risk premium, one leading and one lagging GDP component compares very favorably with the Carhart four-factor model in jointly explaining the returns on 25 size/book-to-market portfolios, 10 momentum portfolios and 30 industry portfolios. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 13-026.

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Date of creation: 2013
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Handle: RePEc:zbw:zewdip:13026

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Keywords: Business Cycle; Lead; Lag; Size; Value; Momentum;

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  1. Balduzzi, Pierluigi & Robotti, Cesare, 2008. "Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 354-368.
  2. Morris A. Davis & Jonathan Heathcote, 2005. "Housing And The Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 751-784, 08.
  3. Cooper, Ilan & Priestley, Richard, 2011. "Real investment and risk dynamics," Journal of Financial Economics, Elsevier, vol. 101(1), pages 182-205, July.
  4. Lukas Menkhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2012. "Carry Trades and Global Foreign Exchange Volatility," Journal of Finance, American Finance Association, vol. 67(2), pages 681-718, 04.
  5. Raymond Kan & Cesare Robotti, 2006. "Specification tests of asset pricing models using excess returns," Working Paper 2006-10, Federal Reserve Bank of Atlanta.
  6. Motohiro Yogo, 2006. "A Consumption-Based Explanation of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 61(2), pages 539-580, 04.
  7. Craig Burnside, 2010. "Identification and Inference in Linear Stochastic Discount Factor Models," NBER Working Papers 16634, National Bureau of Economic Research, Inc.
  8. Paul Gomme & Finn Kydland & Peter Rupert, 2000. "Home production meets time-to-build," Working Paper 0007R, Federal Reserve Bank of Cleveland.
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Cited by:
  1. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla & Masih, A. Mansur M., 2014. "Combining Momentum, Value, and Quality for the Islamic Equity Portfolio: Multi-style Rotation Strategies using Augmented Black Litterman Factor Model," MPRA Paper 56965, University Library of Munich, Germany.

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