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Volatility, labor heterogeneity and asset prices

  • Marcelo Ochoa
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    This paper shows that a firm's reliance on skilled labor is an underlying determinant of its exposure to aggregate volatility risk. I present a model in which firms make hiring and firing decisions in an environment of time-varying aggregate volatility, and face linear adjustment costs that increase with the skill of a worker. In the model, an increase in aggregate volatility slows a firm's labor demand reaction to changes in economic conditions, reducing its ability to smooth cash flows. The rise in aggregate volatility has a more pronounced impact on firms with a high share of skilled labor because their labor is more costly to adjust. Therefore, the compensation for volatility risk and its contribution to risk compensation increases with a firm's reliance on skilled labor. I empirically test the implications of the model using occupational estimates to construct a measure of a firm's reliance on skilled labor, and find a positive and statistically significant cross-sectional relation between the reliance on skilled labor and expected returns. In times of high aggregate volatility, firms with a high share of skilled workers earn an annual return of 2.7% above those with a high share of unskilled workers. This spread reduces by one third in times when volatility is back to normal.

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    Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2013-71.

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    Date of creation: 2013
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    Handle: RePEc:fip:fedgfe:2013-71
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    1. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, 05.
    2. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2012. "An Empirical Evaluation of the Long-Run Risks Model for Asset Prices," Critical Finance Review, now publishers, vol. 1(1), pages 183-221, January.
    3. Belo, Frederico & Lin, Xiaoji & Bazdresch, Santiago, 2012. "Labor Hiring, Investment, and Stock Return Predictability in the Cross Section," Working Paper Series 2012-17, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    4. Tim Bollerslev & Tzuo Hao & George Tauchen, 2008. "Expected Stock Returns and Variance Risk Premia," CREATES Research Papers 2008-48, School of Economics and Management, University of Aarhus.
    5. Hao Zhou, 2010. "Variance risk premia, asset predictability puzzles, and macroeconomic uncertainty," Finance and Economics Discussion Series 2010-14, Board of Governors of the Federal Reserve System (U.S.).
    6. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana & Juan Rubio-Ramírez & Martín Uribe, 2009. "Risk Matters: The Real Effects of Volatility Shocks," NBER Working Papers 14875, National Bureau of Economic Research, Inc.
    7. David A. Matsa, 2010. "Capital Structure as a Strategic Variable: Evidence from Collective Bargaining," Journal of Finance, American Finance Association, vol. 65(3), pages 1197-1232, 06.
    8. Russell W. Cooper & Jonathan Willis, 2003. "The Cost of Labor Adjustment: Inferences from the Gap," NBER Working Papers 10006, National Bureau of Economic Research, Inc.
    9. Ricardo J. Caballero & Eduardo Engel & John Haltiwanger, 1996. "Aggregate Employment Dynamics: Building from Microeconomic Evidence," Documentos de Trabajo 6, Centro de Economía Aplicada, Universidad de Chile.
    10. Lin, Xiaoji, 2012. "Endogenous technological progress and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 103(2), pages 411-427.
    11. Ricardo J. Caballero & Eduardo M.R.A. Engel, 1992. "Microeconomic Adjustment Hazards and Aggregate Dynamics," NBER Working Papers 4090, National Bureau of Economic Research, Inc.
    12. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    13. Wolak, Frank A., 1989. "Testing inequality constraints in linear econometric models," Journal of Econometrics, Elsevier, vol. 41(2), pages 205-235, June.
    14. Robert Novy-Marx, 2011. "Operating Leverage," Review of Finance, European Finance Association, vol. 15(1), pages 103-134.
    15. Danthine, Jean-Pierre & Donaldson, John B, 2002. "Labour Relations and Asset Returns," Review of Economic Studies, Wiley Blackwell, vol. 69(1), pages 41-64, January.
    16. Robert G. King & Sergio T. Rebelo, 2000. "Resuscitating Real Business Cycles," RCER Working Papers 467, University of Rochester - Center for Economic Research (RCER).
    17. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Keith Kuester & Juan Rubio-Ramirez, 2011. "Fiscal Volatility Shocks and Economic Activity," PIER Working Paper Archive 11-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Kandel, Shmuel & Stambaugh, Robert F, 1990. "Expectations and Volatility of Consumption and Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 207-32.
    19. Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
    20. Jonathan Lewellen & Stefan Nagel & Jay Shanken, 2006. "A Skeptical Appraisal of Asset-Pricing Tests," NBER Working Papers 12360, National Bureau of Economic Research, Inc.
    21. Bansal, Ravi & Khatchatrian, Varoujan & Yaron, Amir, 2005. "Interpretable asset markets?," European Economic Review, Elsevier, vol. 49(3), pages 531-560, April.
    22. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-36, May-June.
    23. Epstein, Larry G & Zin, Stanley E, 1989. "Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: A Theoretical Framework," Econometrica, Econometric Society, vol. 57(4), pages 937-69, July.
    24. Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729 Elsevier.
    25. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta-Eksten & Stephen J. Terry, 2012. "Really Uncertain Business Cycles," NBER Working Papers 18245, National Bureau of Economic Research, Inc.
    26. Weil, Philippe, 1990. "Nonexpected Utility in Macroeconomics," The Quarterly Journal of Economics, MIT Press, vol. 105(1), pages 29-42, February.
    27. Ravi Bansal & Amir Yaron, 2000. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," NBER Working Papers 8059, National Bureau of Economic Research, Inc.
    28. Dixit, Avinash, 1997. "Investment and Employment Dynamics in the Short Run and the Long Run," Oxford Economic Papers, Oxford University Press, vol. 49(1), pages 1-20, January.
    29. Pfann, Gerald A. & Verspagen, Bart, 1989. "The structure of adjustment costs for labour in the Dutch manufacturing sector," Economics Letters, Elsevier, vol. 29(4), pages 365-371.
    30. Ravi Jagannathan & Zhenyu Wang, 1998. "An Asymptotic Theory for Estimating Beta-Pricing Models Using Cross-Sectional Regression," Journal of Finance, American Finance Association, vol. 53(4), pages 1285-1309, 08.
    31. Daniel S. Hamermesh & Gerard A. Pfann, 1996. "Adjustment Costs in Factor Demand," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1264-1292, September.
    32. Campbell, John Y & Giglio, Stefano W & Polk, Christopher & Turley, Robert, 2015. "An Intertemporal CAPM with Stochastic Volatility," CEPR Discussion Papers 10681, C.E.P.R. Discussion Papers.
    33. Titman, Sheridan & Wei, K. C. John & Xie, Feixue, 2004. "Capital Investments and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(04), pages 677-700, December.
    34. Kewei Hou & David T. Robinson, 2006. "Industry Concentration and Average Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1927-1956, 08.
    35. Chen, Huafeng Jason & Kacperczyk, Marcin & Ortiz-Molina, Hernán, 2011. "Labor Unions, Operating Flexibility, and the Cost of Equity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(01), pages 25-58, March.
    36. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    37. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, 08.
    38. Bentolila, Samuel & Bertola, Giuseppe, 1990. "Firing Costs and Labour Demand: How Bad Is Eurosclerosis?," Review of Economic Studies, Wiley Blackwell, vol. 57(3), pages 381-402, July.
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