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Dynamic Spillovers in the United States: Stock Market, Housing, Uncertainty, and the Macroeconomy

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  • Nikolaos Antonakakis
  • Christophe André
  • Rangan Gupta

Abstract

In this study, we examine dynamic spillovers among the housing market, stock market, and economic policy uncertainty (EPU) in the United States in a unified empirical framework. Applying the Diebold and Yilmaz (2012) methodology on monthly data over the period 1987M1–2014M11, our findings reveal the following features. First, the transmission of various types of shocks contributes significantly to economic fluctuations in the United States. Second, spillovers show large variations over time. Third, in the wake of the global financial crisis, spillovers have been exceptionally high in historical perspective. In particular, we find large spillovers from EPU, as well as stock market and housing returns to other variables, in particular inflation, industrial production and the federal funds rate. These results illustrate the contagion from the housing and financial crisis to the real economy and the strong policy reaction to stabilize the economy.

Suggested Citation

  • Nikolaos Antonakakis & Christophe André & Rangan Gupta, 2016. "Dynamic Spillovers in the United States: Stock Market, Housing, Uncertainty, and the Macroeconomy," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 609-624, October.
    • Handle: RePEc:wly:soecon:v:83:y:2016:i:2:p:609-624
    DOI: 10.1002/soej.12149
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    Cited by:

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    3. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    4. Alqaralleh, Huthaifa & Canepa, Alessandra & Salah Uddin, Gazi, 2023. "Dynamic relations between housing Markets, stock Markets, and uncertainty in global Cities: A Time-Frequency approach," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    5. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "How Does the Economic Uncertainty Affect Asset Prices under Normal and Financial Distress Times?," IZA Discussion Papers 15296, Institute of Labor Economics (IZA).
    6. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna & Mark E. Wohar, 2022. "Uncertainty and predictability of real housing returns in the United Kingdom: A regional analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1525-1556, November.
    7. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    8. Bossman, Ahmed & Umar, Zaghum & Agyei, Samuel Kwaku & Junior, Peterson Owusu, 2022. "A new ICEEMDAN-based transfer entropy quantifying information flow between real estate and policy uncertainty," Research in Economics, Elsevier, vol. 76(3), pages 189-205.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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