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Donghai Zhang

Personal Details

First Name:Donghai
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh865
http://www.donghaizhang.com

Affiliation

Department of Economics
National University of Singapore (NUS)

Singapore, Singapore
http://www.fas.nus.edu.sg/ecs/
RePEc:edi:denussg (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Rubén Domínguez-Díaz & Donghai Zhang, 2025. "The macroeconomic effects of unemployment insurance extensions: A policy rule-based identification approach," Working Papers 2521, Banco de España.
  2. Francesca Loria & Christian Matthes & Donghai Zhang, 2019. "Assessing Macroeconomic Tail Risk," Finance and Economics Discussion Series 2019-026, Board of Governors of the Federal Reserve System (U.S.).

Articles

  1. Shengliang Ou & Donghai Zhang, 2025. "Quantifying the Federal Reserve's objectives using a structural vector autoregressive model," Economica, London School of Economics and Political Science, vol. 92(366), pages 351-367, April.
  2. Francesca Loria & Christian Matthes & Donghai Zhang, 2025. "Assessing Macroeconomic Tail Risk," The Economic Journal, Royal Economic Society, vol. 135(665), pages 264-284.
  3. Gnewuch, Matthias & Zhang, Donghai, 2025. "Monetary policy, firm heterogeneity, and the distribution of investment rates," Journal of Monetary Economics, Elsevier, vol. 149(C).
  4. Donghai Zhang, 2022. "Term Structure, Forecast Revision, and the Signaling Channel of Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 20(4), pages 1522-1553.
  5. Tang, Haozhou & Zhang, Donghai, 2022. "Bubbly firm dynamics and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 64-80.
  6. Ou, Shengliang & Zhang, Donghai & Zhang, Renbin, 2021. "Information frictions, monetary policy, and the paradox of price flexibility," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 70-82.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Francesca Loria & Christian Matthes & Donghai Zhang, 2019. "Assessing Macroeconomic Tail Risk," Finance and Economics Discussion Series 2019-026, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2020. "Can systemic risk measures predict economic shocks? Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    2. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    3. Òscar Jordà & Martin Kornejew & Moritz Schularick & Alan M Taylor, 2022. "Zombies at Large? Corporate Debt Overhang and the Macroeconomy," The Review of Financial Studies, Society for Financial Studies, vol. 35(10), pages 4561-4586.
    4. Hyejin Yang & Jin Lee, 2025. "Response of tail risks of Euro-dollar exchange rate to monetary policy shocks in the US and the Euro area using penalized local projections," SN Business & Economics, Springer, vol. 5(6), pages 1-21, June.
    5. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    6. Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
    7. Korobilis, Dimitris & Schröder, Maximilian, 2025. "Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach," Journal of Econometrics, Elsevier, vol. 249(PC).
    8. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    9. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    10. Beutel, Johannes & Emter, Lorenz & Metiu, Norbert & Prieto, Esteban & Schüler, Yves, 2025. "The global financial cycle and macroeconomic tail risks," Journal of International Money and Finance, Elsevier, vol. 156(C).
    11. De Santis, Roberto A. & Van der Veken, Wouter, 2020. "Forecasting macroeconomic risk in real time: Great and Covid-19 Recessions," Working Paper Series 2436, European Central Bank.
    12. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    13. Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
    14. Schüler, Yves S., 2020. "The impact of uncertainty and certainty shocks," Discussion Papers 14/2020, Deutsche Bundesbank.
    15. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    16. Moritz Schularick, 2021. "Corporate indebtedness and macroeconomic stabilisation from a long-term perspective," ECONtribute Policy Brief Series 024, University of Bonn and University of Cologne, Germany.
    17. Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

Articles

  1. Francesca Loria & Christian Matthes & Donghai Zhang, 2025. "Assessing Macroeconomic Tail Risk," The Economic Journal, Royal Economic Society, vol. 135(665), pages 264-284.
    See citations under working paper version above.
  2. Gnewuch, Matthias & Zhang, Donghai, 2025. "Monetary policy, firm heterogeneity, and the distribution of investment rates," Journal of Monetary Economics, Elsevier, vol. 149(C).

    Cited by:

    1. Atsuki Hirata & Yusuke Takahashi & Naoya Kato, 2025. "Interest Rate Sensitivity of Capital Investment in Japan: An Analysis Using Panel LP-IV," Bank of Japan Working Paper Series 25-E-13, Bank of Japan.
    2. Lea Best & Benjamin Born & Manuel Menkhoff, 2025. "The Impact of Interest: Firms' Investment Sensitivity to Interest Rates," CESifo Working Paper Series 12167, CESifo.

  3. Tang, Haozhou & Zhang, Donghai, 2022. "Bubbly firm dynamics and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 64-80.

    Cited by:

    1. Lise Clain-Chamosset-Yvrard & Xavier Raurich & Thomas Seegmuller, 2021. "Entrepreneurship, growth and productivity with bubbles," Working Papers halshs-03134474, HAL.
    2. Francisco Queirós, 2021. "Asset Bubbles and Product Market Competition," CSEF Working Papers 607, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. Francisco Queirós, 2024. "The real side of stock market exuberance: bubbles, output and productivity at the industry level," Economica, London School of Economics and Political Science, vol. 91(361), pages 268-291, January.

  4. Ou, Shengliang & Zhang, Donghai & Zhang, Renbin, 2021. "Information frictions, monetary policy, and the paradox of price flexibility," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 70-82.

    Cited by:

    1. Zhiqi Zhao & Kefeng Kuang & Yunjie Tang & David Meenagh & Zheyi Zhu, 2025. "How Much Price Stickiness in Hong Kong? —Evidence from Small Open Economy DSGE and Indirect Inference," Open Economies Review, Springer, vol. 36(3), pages 921-945, July.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (2) 2019-04-22 2019-04-22. Author is listed
  2. NEP-CBA: Central Banking (1) 2019-04-22. Author is listed
  3. NEP-DGE: Dynamic General Equilibrium (1) 2025-05-05. Author is listed
  4. NEP-FDG: Financial Development and Growth (1) 2019-04-22. Author is listed
  5. NEP-LAB: Labour Economics (1) 2025-05-05. Author is listed
  6. NEP-RMG: Risk Management (1) 2019-04-22. Author is listed

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