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What Drives Variation in the U.S. Debt‐to‐Output Ratio? The Dogs that Did not Bark

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  • ZHENGYANG JIANG
  • HANNO LUSTIG
  • STIJN VAN NIEUWERBURGH
  • MINDY Z. XIAOLAN

Abstract

A higher U.S. government debt‐to‐output (D‐O) ratio does not forecast higher surpluses or lower returns on Treasurys in the future. Neither future cash flows nor discount rates account for the variation in the current D‐O ratio. The market valuation of Treasurys is surprisingly insensitive to macro fundamentals. Instead, the future D‐O ratio accounts for most of the variation because the D‐O ratio is highly persistent. Systematic surplus forecast errors may help account for these findings. Since the start of the Global Financial Crisis, surplus projections have anticipated a large fiscal correction that failed to materialize.

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  • Zhengyang Jiang & Hanno Lustig & Stijn Van Nieuwerburgh & Mindy Z. Xiaolan, 2024. "What Drives Variation in the U.S. Debt‐to‐Output Ratio? The Dogs that Did not Bark," Journal of Finance, American Finance Association, vol. 79(4), pages 2603-2665, August.
  • Handle: RePEc:bla:jfinan:v:79:y:2024:i:4:p:2603-2665
    DOI: 10.1111/jofi.13363
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    as
    1. Martin Lettau & Stijn Van Nieuwerburgh, 2008. "Reconciling the Return Predictability Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
    2. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    3. Olivier Blanchard, 2019. "Public Debt and Low Interest Rates," American Economic Review, American Economic Association, vol. 109(4), pages 1197-1229, April.
    4. Henning Bohn, 1998. "The Behavior of U. S. Public Debt and Deficits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 949-963.
    5. Pedro Bordalo & Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2020. "Overreaction in Macroeconomic Expectations," American Economic Review, American Economic Association, vol. 110(9), pages 2748-2782, September.
    6. Marco Bassetto & Wei Cui, 2018. "The Fiscal Theory of the Price Level in an Environment of Low Interest Rates," 2018 Meeting Papers 574, Society for Economic Dynamics.
    7. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    8. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    9. Ricardo De La O & Sean Myers, 2021. "Subjective Cash Flow and Discount Rate Expectations," Journal of Finance, American Finance Association, vol. 76(3), pages 1339-1387, June.
    10. Walter Torous & Rossen Valkanov & Shu Yan, 2004. "On Predicting Stock Returns with Nearly Integrated Explanatory Variables," The Journal of Business, University of Chicago Press, vol. 77(4), pages 937-966, October.
    11. George J. Hall & Thomas J. Sargent, 2011. "Interest Rate Risk and Other Determinants of Post-WWII US Government Debt/GDP Dynamics," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 192-214, July.
    12. Bassetto, Marco & Cui, Wei, 2018. "The fiscal theory of the price level in a world of low interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 5-22.
    13. Andreas Müller & Kjetil Storesletten & Fabrizio Zilibotti, 2016. "The Political Color Of Fiscal Responsibility," Journal of the European Economic Association, European Economic Association, vol. 14(1), pages 252-302, February.
    14. Campbell, John Y. & Yogo, Motohiro, 2006. "Efficient tests of stock return predictability," Journal of Financial Economics, Elsevier, vol. 81(1), pages 27-60, July.
    15. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    16. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    17. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    18. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    19. Croce, Mariano M. & Nguyen, Thien T. & Schmid, Lukas, 2012. "The market price of fiscal uncertainty," Journal of Monetary Economics, Elsevier, vol. 59(5), pages 401-416.
    20. Zefeng Chen & Zhengyang Jiang & Hanno Lustig & Stijn Van Nieuwerburgh & Mindy Z. Xiaolan, 2022. "Exorbitant Privilege Gained and Lost: Fiscal Implications," NBER Working Papers 30059, National Bureau of Economic Research, Inc.
    21. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    22. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    23. Ralph S.J. Koijen & Stijn Van Nieuwerburgh, 2011. "Predictability of Returns and Cash Flows," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 467-491, December.
    24. Croce, M. & Nguyen, Thien T. & Raymond, S., 2021. "Persistent government debt and aggregate risk distribution," Journal of Financial Economics, Elsevier, vol. 140(2), pages 347-367.
    25. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    26. John Y. Campbell & Robert J. Shiller, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 495-514.
    27. Reinhart, Carmen & Kirkegaard, Jacob & Sbrancia, Belen, 2011. "Financial repression redux," MPRA Paper 31641, University Library of Munich, Germany.
    28. Campbell, John Y & Gao, Can & Martin, Ian, 2023. "Debt and Deficits: Fiscal Analysis with Stationary Ratios," CEPR Discussion Papers 18133, C.E.P.R. Discussion Papers.
    29. Atif Mian & Ludwig Straub & Amir Sufi, 2021. "A Goldilocks Theory of Fiscal Policy," Working Papers 2021-37, Princeton University. Economics Department..
    30. Michael D. Bauer & James D. Hamilton, 2018. "Robust Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 399-448.
    31. Jiang, Zhengyang, 2021. "US Fiscal cycle and the dollar," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 91-106.
    32. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    33. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-574, May.
    34. Narayana R. Kocherlakota, 2023. "Public Debt Bubbles In Heterogeneous Agent Models With Tail Risk," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(2), pages 491-509, May.
    35. Mikhail Chernov & Lukas Schmid & Andres Schneider, 2020. "A Macrofinance View of U.S. Sovereign CDS Premiums," Journal of Finance, American Finance Association, vol. 75(5), pages 2809-2844, October.
    36. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    37. Pedro Bordalo & Nicola Gennaioli & Rafael La Porta & Andrei Shleifer, 2019. "Diagnostic Expectations and Stock Returns," Journal of Finance, American Finance Association, vol. 74(6), pages 2839-2874, December.
    38. JULES H. Van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present‐Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, August.
    39. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    40. Chien, YiLi & Wen, Yi, 2022. "The determination of public debt under both aggregate and idiosyncratic uncertainty," Journal of Economic Theory, Elsevier, vol. 203(C).
    41. Jiang, Zhengyang & Krishnamurthy, Arvind & Lustig, Hanno, 2022. "The Rest of the World's Dollar-Weighted Return on U.S. Treasurys," Research Papers 4014, Stanford University, Graduate School of Business.
    42. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    43. de Jong, Robert M. & Amsler, Christine & Schmidt, Peter, 2007. "A robust version of the KPSS test based on indicators," Journal of Econometrics, Elsevier, vol. 137(2), pages 311-333, April.
    44. Nelson, Charles R & Kim, Myung J, 1993. "Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    45. Gregory R. Duffee, 2011. "Information in (and not in) the Term Structure," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 2895-2934.
    46. Golez, Benjamin & Koudijs, Peter, 2018. "Four centuries of return predictability," Journal of Financial Economics, Elsevier, vol. 127(2), pages 248-263.
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