IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipds1544612323009753.html
   My bibliography  Save this article

Unveiling the multiscale impact of economic policy uncertainty on China's housing market spillovers: Evidence from different uncertainty measurements

Author

Listed:
  • Wang, Xinya

Abstract

This paper investigates the multiscale impacts of economic policy uncertainty (EPU) on China's housing market spillovers. In addition to the news-based EPU commonly used in previous literature, we also construct an unobservable EPU for China in a data-rich environment based on forecast errors and distinguish the heterogeneous impacts imposed by different EPU measurements. Results indicate that spillovers of China's housing market are primarily driven by economically developed cities, and the unobservable EPU has greater explanatory power for total spillovers. However, in the long-term time horizons, smaller cities’ net spillovers exhibit greater sensitivity to the news-based EPU, while larger cities are more reliant on the unobservable EPU.

Suggested Citation

  • Wang, Xinya, 2023. "Unveiling the multiscale impact of economic policy uncertainty on China's housing market spillovers: Evidence from different uncertainty measurements," Finance Research Letters, Elsevier, vol. 58(PD).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323009753
    DOI: 10.1016/j.frl.2023.104603
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323009753
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104603?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    2. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    4. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    5. Raza, Syed Ali & Shah, Nida & Guesmi, Khaled & Msolli, Badreddine, 2022. "How does COVID-19 influence dynamic spillover connectedness between cryptocurrencies? Evidence from non-parametric causality-in-quantiles techniques," Finance Research Letters, Elsevier, vol. 47(PA).
    6. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    7. Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017. "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 50-60.
    8. Goodness Aye, 2018. "Causality between Economic Policy Uncertainty and Real Housing Returns in Emerging Economies: A Cross-Sample Validation Approach," Working Papers 201827, University of Pretoria, Department of Economics.
    9. Aharon, David Y. & Demir, Ender, 2022. "NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 47(PA).
    10. Goodness C. Aye, 2018. "Causality between economic policy uncertainty and real housing returns in emerging economies: A cross-sample validation approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1473708-147, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oguzhan Cepni & Hardik A. Marfatia & Rangan Gupta, 2021. "The Time-Varying Impact of Uncertainty Shocks on the Comovement of Regional Housing Prices of the United Kingdom," Working Papers 202168, University of Pretoria, Department of Economics.
    2. Goodness C. Aye & Rangan Gupta, 2019. "Macroeconomic Uncertainty And The Comovement In Buying Versus Renting In The Usa," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 93-121, September.
    3. Goodness C. Aye & Rangan Gupta, 2018. "Macroeconomic Uncertainty and the Comovement in Buying versus Renting in the United States," Working Papers 201832, University of Pretoria, Department of Economics.
    4. Yin, Xiao-Cui & Li, Xin & Wang, Min-Hui & Qin, Meng & Shao, Xue-Feng, 2021. "Do economic policy uncertainty and its components predict China's housing returns?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    5. 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.
    6. Hedi Ben Haddad & Imed Mezghani & Abdessalem Gouider, 2021. "The Dynamic Spillover Effects of Macroeconomic and Financial Uncertainty on Commodity Markets Uncertainties," Economies, MDPI, vol. 9(2), pages 1-22, June.
    7. Dunbar, Kwamie, 2023. "CBDC uncertainty: Financial market implications," International Review of Financial Analysis, Elsevier, vol. 87(C).
    8. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    9. Huang, Wei-Ling & Lin, Wen-Yuan & Ning, Shao-Lin, 2020. "The effect of economic policy uncertainty on China’s housing market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    10. Lyu, Yongjian & Tuo, Siwei & Wei, Yu & Yang, Mo, 2021. "Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility：New evidence," Resources Policy, Elsevier, vol. 70(C).
    11. Xiaoguang Liu & Jian Yu & Tsun Se Cheong & Michal Wojewodzki, 2022. "The Future Evolution of Housing Price-to-Income Ratio in 171 Chinese Cities," Annals of Economics and Finance, Society for AEF, vol. 23(1), pages 159-196, May.
    12. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2021. "The realized volatility of commodity futures: Interconnectedness and determinants#," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 139-151.
    13. Xia, Tongshui & Yao, Chen-Xi & Geng, Jiang-Bo, 2020. "Dynamic and frequency-domain spillover among economic policy uncertainty, stock and housing markets in China," International Review of Financial Analysis, Elsevier, vol. 67(C).
    14. Lyu, Yongjian & Wei, Yu & Hu, Yingyi & Yang, Mo, 2021. "Good volatility, bad volatility and economic uncertainty: Evidence from the crude oil futures market," Energy, Elsevier, vol. 222(C).
    15. Balcilar, Mehmet & Roubaud, David & Uzuner, Gizem & Wohar, Mark E., 2021. "Housing sector and economic policy uncertainty: A GMM panel VAR approach," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 114-126.
    16. Ran, Gao & Zixiang, Zhu & Jianhao, Lin, 2022. "Consumption–investment comovement and the dynamic impact of monetary policy uncertainty in China," Economic Modelling, Elsevier, vol. 113(C).
    17. Yujia, Li & Zixiang, Zhu & Ming, Che, 2024. "Exploring the relationship between China's economic policy uncertainty and business cycles: Exogenous impulse or endogenous responses?," Emerging Markets Review, Elsevier, vol. 58(C).
    18. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    19. Guo, Junjie & Li, Youshu & Shao, Qinglong, 2022. "Cross-category spillover effects of economic policy uncertainty between China and the US: Time and frequency evidence," Journal of Asian Economics, Elsevier, vol. 80(C).
    20. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019. "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series 8000, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323009753. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.