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Public capital and asset prices: Time-series evidence from Japan

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  • Hiraga, Kazuki
  • Kozuka, Masafumi
  • Miyazaki, Tomomi

Abstract

This research examines the effects of public infrastructure capital on asset prices in Japan over the period 1983:Q1–2008:Q4. The empirical results show that public infrastructure capital does not forecast stock returns and total factor productivity by the Granger causality test, and the contribution of public investment to stock returns is small based on variance decomposition using the Factor-Augmented vector autoregressive model. Our empirical evidence on the post high-growth era in Japan suggests that public infrastructure investment cannot be expected to play a key role in revitalizing capital markets.

Suggested Citation

  • Hiraga, Kazuki & Kozuka, Masafumi & Miyazaki, Tomomi, 2018. "Public capital and asset prices: Time-series evidence from Japan," Finance Research Letters, Elsevier, vol. 25(C), pages 172-176.
    • Handle: RePEc:eee:finlet:v:25:y:2018:i:c:p:172-176
    DOI: 10.1016/j.frl.2017.10.017
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    1. Tomomi Miyazaki, 2014. "Fiscal Policy Effectiveness in Japan: Experiences from Recent Policies," Discussion Papers 1416, Graduate School of Economics, Kobe University.
    2. Christopher J. Nekarda & Valerie A. Ramey, 2011. "Industry Evidence on the Effects of Government Spending," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 36-59, January.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Takero Doi & Toshihiro Ihori, 2009. "The Public Sector in Japan," Books, Edward Elgar Publishing, number 12752.
    5. Luca Agnello & Ricardo M. Sousa, 2013. "Fiscal Policy And Asset Prices," Bulletin of Economic Research, Wiley Blackwell, vol. 65(2), pages 154-177, April.
    6. Cecchetti, Stephen G & Karras, Georgios, 1994. "Sources of Output Fluctuations during the Interwar Period: Further Evidence on the Causes of the Great Depression," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 80-102, February.
    7. Fukuda, Shin-ichi & Yamada, Junji, 2011. "Stock price targeting and fiscal deficit in Japan: Why did the fiscal deficit increase during Japan’s lost decades?," Journal of the Japanese and International Economies, Elsevier, vol. 25(4), pages 447-464.
    8. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    9. Kengo Nutahara, 2013. "Asset Price Targeting Government Spending and Equilibrium Indeterminacy in A Sticky-Price Economy," CIGS Working Paper Series 13-003E, The Canon Institute for Global Studies.
    10. Kamada, Koichiro & Masuda, Kazuto, 2001. "Effects of Measurement Error on the Output Gap in Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(2), pages 109-154, May.
    11. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    12. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    13. Lawrence J. Christiano, 1986. "Money and the U.S. economy in the 1980s: a break from the past?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Sum), pages 2-13.
    14. Belo, Frederico & Yu, Jianfeng, 2013. "Government investment and the stock market," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 325-339.
    15. Miyazaki, Tomomi, 2010. "The effects of fiscal policy in the 1990s in Japan: A VAR analysis with event studies," Japan and the World Economy, Elsevier, vol. 22(2), pages 80-87, March.
    16. Tokuo Iwaisako, 2010. "Japanese Macroeconomic Policy Management after the Global Financial Crisis," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 6(5), pages 795-806, June.
    17. Fujii, Takao & Hiraga, Kazuki & Kozuka, Masafumi, 2013. "Effects of public investment on sectoral private investment: A factor augmented VAR approach," Journal of the Japanese and International Economies, Elsevier, vol. 27(C), pages 35-47.
    18. Markus Brückner & Anita Tuladhar, 2014. "Local Government Spending Multipliers and Financial Distress: Evidence from Japanese Prefectures," Economic Journal, Royal Economic Society, vol. 124(581), pages 1279-1316, December.
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    Cited by:

    1. Funashima, Yoshito & Iizuka, Nobuo & Ohtsuka, Yoshihiro, 2020. "GDP announcements and stock prices," Journal of Economics and Business, Elsevier, vol. 108(C).

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    More about this item

    Keywords

    Public infrastructure capital in Japan; Stock price targeting; Lag-Augmented vector autoregressive model; Factor-Augmented vector autoregressive model;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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