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Mengheng Li

Personal Details

First Name:Mengheng
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli1187
[This author has chosen not to make the email address public]
https://menghengli.net/

Affiliation

Economics Discipline Group
Business School
University of Technology Sydney

Sydney, Australia
http://business.uts.edu.au/economics/
RePEc:edi:edutsau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bowen Fu & Mengheng Li & Qazi Haque, 2023. "Exchange rates, uncovered interest parity, and time-varying Fama regressions," School of Economics and Public Policy Working Papers 2023-06 Classification-C1, University of Adelaide, School of Economics and Public Policy.
  2. Mengheng Li & Bowen Fu, 2020. "US shocks and the uncovered interest rate parity," CAMA Working Papers 2020-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  4. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
  5. Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.
  6. Mengheng Li & Irma Hindrayanto, 2018. "Looking for the stars: Estimating the natural rate of interest," Working Paper Series 51, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  7. Paolo Gorgi & Siem Jan (S.J.) Koopman & Mengheng Li, 2018. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," Tinbergen Institute Discussion Papers 18-026/III, Tinbergen Institute.
  8. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

Articles

  1. Li Mengheng & Mendieta-Muñoz Ivan, 2022. "Bayesian analysis of structural correlated unobserved components and identification via heteroskedasticity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 337-359, June.
  2. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
  3. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
  4. Li, Mengheng & Koopman, Siem Jan & Lit, Rutger & Petrova, Desislava, 2020. "Long-term forecasting of El Niño events via dynamic factor simulations," Journal of Econometrics, Elsevier, vol. 214(1), pages 46-66.
  5. Mengheng Li & Ivan Mendieta‐Muñoz, 2020. "Are long‐run output growth rates falling?," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 204-234, February.
  6. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.

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. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.

    Cited by:

    1. David Kiefer, Ivan Mendieta-Munoz, Codrina Rada, Rudiger von Arnim, 2019. "Secular Stagnation and Income Distribution Dynamics," Working Paper Series, Department of Economics, University of Utah 2019_05, University of Utah, Department of Economics.
    2. Kaplinsky, Raphael & Kraemer-Mbula, Erika, 2022. "Innovation and uneven development: The challenge for low- and middle-income economies," Research Policy, Elsevier, vol. 51(2).
    3. Marcio Santetti, 2023. "A time-varying finance-led model for U.S. business cycles," Papers 2310.05153, arXiv.org, revised Jan 2024.
    4. Mengheng Li & Irma Hindrayanto, 2018. "Looking for the stars: Estimating the natural rate of interest," Working Paper Series 51, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Felipe, Jesus & Estrada, Gemma & Lanzafame, Matteo, 2022. "The turnaround in Philippine growth: From disappointment to promising success," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 327-342.
    6. Stamegna, Marco, 2022. "Induced innovation, the distributive cycle, and the changing pattern of labour productivity cyclicality: a SVAR analysis for the US economy," MPRA Paper 113855, University Library of Munich, Germany.

  2. Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.

    Cited by:

    1. Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  3. Paolo Gorgi & Siem Jan (S.J.) Koopman & Mengheng Li, 2018. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," Tinbergen Institute Discussion Papers 18-026/III, Tinbergen Institute.

    Cited by:

    1. Nguyen, Hoang & Javed, Farrukh, 2021. "Dynamic relationship between Stock and Bond returns: A GAS MIDAS copula approach," Working Papers 2021:15, Örebro University, School of Business.
    2. Tobias Eckernkemper & Bastian Gribisch, 2021. "Intraday conditional value at risk: A periodic mixed‐frequency generalized autoregressive score approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 883-910, August.
    3. Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
    4. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    5. Goldmann, Leonie & Crook, Jonathan & Calabrese, Raffaella, 2024. "A new ordinal mixed-data sampling model with an application to corporate credit rating levels," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1111-1126.
    6. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    7. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    8. Emami Javanmard, Majid & Tang, Yili & Martínez-Hernández, J. Adrián, 2024. "Forecasting air transportation demand and its impacts on energy consumption and emission," Applied Energy, Elsevier, vol. 364(C).
    9. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    10. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  4. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Griller, Stefan & Huber, Florian & Pfarrhofer, Michael, 2024. "Financial markets and legal challenges to unconventional monetary policy," European Economic Review, Elsevier, vol. 163(C).

Articles

  1. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
    See citations under working paper version above.
  2. Mengheng Li & Ivan Mendieta‐Muñoz, 2020. "Are long‐run output growth rates falling?," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 204-234, February.
    See citations under working paper version above.
  3. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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 8 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-ECM: Econometrics (5) 2018-04-02 2018-04-02 2018-10-08 2019-06-24 2020-11-02. Author is listed
  2. NEP-ETS: Econometric Time Series (4) 2018-04-02 2018-04-02 2018-07-09 2018-10-08. Author is listed
  3. NEP-ORE: Operations Research (4) 2018-04-02 2018-10-08 2020-11-02 2020-11-16. Author is listed
  4. NEP-MAC: Macroeconomics (3) 2018-04-02 2018-12-24 2019-06-24. Author is listed
  5. NEP-CBA: Central Banking (2) 2018-12-24 2020-11-02. Author is listed
  6. NEP-EEC: European Economics (2) 2018-07-09 2020-11-16. Author is listed
  7. NEP-GRO: Economic Growth (2) 2018-07-09 2020-11-16. Author is listed
  8. NEP-MON: Monetary Economics (2) 2018-04-02 2020-11-02. Author is listed
  9. NEP-FOR: Forecasting (1) 2018-04-02
  10. NEP-HIS: Business, Economic and Financial History (1) 2018-07-09
  11. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2018-07-09
  12. NEP-RMG: Risk Management (1) 2018-10-08

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