Shuo Cao

Personal Details

First Name:	Shuo
Middle Name:
Last Name:	Cao
Suffix:
RePEc Short-ID:	pca1116
	[This author has chosen not to make the email address public]
	http://shuocao.weebly.com
Terminal Degree:	2016 Department of Economics; Adam Smith Business School; University of Glasgow (from RePEc Genealogy)

Affiliation

Department of Economics
Adam Smith Business School
University of Glasgow

Glasgow, United Kingdom
http://www.gla.ac.uk/subjects/economics/
RePEc:edi:dpglauk (more details at EDIRC)

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. Cao, Shuo & Crump, Richard K. & ,, 2020. "Fundamental Disagreement about Monetary Policy and the Term Structure of Interest Rates," CEPR Discussion Papers 15122, C.E.P.R. Discussion Papers.
   • Shuo Cao & Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2020. "Fundamental Disagreement about Monetary Policy and the Term Structure of Interest Rates," Staff Reports 934, Federal Reserve Bank of New York.

   Cited by:

   1. Kenneth J. Singleton, 2021. "Presidential Address: How Much “Rationality” Is There in Bond‐Market Risk Premiums?," Journal of Finance, American Finance Association, vol. 76(4), pages 1611-1654, August.
   2. Ricardo Reis, 2020. "The People versus the Markets: A Parsimonious Model of Inflation Expectations," Discussion Papers 2033, Centre for Macroeconomics (CFM).
   3. Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
      • Christiane Baumeister, 2021. "Measuring Market Expectations," NBER Working Papers 29232, National Bureau of Economic Research, Inc.
      • Christiane Baumeister, 2021. "Measuring Market Expectations," CESifo Working Paper Series 9305, CESifo.
      • Christiane Baumeister, 2021. "Measuring Market Expectations," Working Papers 202163, University of Pretoria, Department of Economics.
   4. Marco Giacoletti & Kristoffer T. Laursen & Kenneth J. Singleton, 2021. "Learning From Disagreement in the U.S. Treasury Bond Market," Journal of Finance, American Finance Association, vol. 76(1), pages 395-441, February.
   5. Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.

2. Shuo Cao & Huichou Huang & Ruirui Liu & Ronald MacDonald, 2017. "The Term Structure of Exchange Rate Predictability: Commonality, Scapegoat, and Disagreement," GRU Working Paper Series GRU_2017_013, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
   • Cao, Shuo & Huang, Huichou & Liu, Ruirui & MacDonald, Ronald, 2019. "The term structure of exchange rate predictability: Commonality, scapegoat, and disagreement," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 379-401.

   Cited by:

   1. Yin-Wong Cheung & Wenhao Wang, 2020. "Uncovered Interest Rate Parity Redux: Non- Uniform Effects," GRU Working Paper Series GRU_2020_004, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
      • Cheung, Yin-Wong & Wang, Wenhao, 2022. "Uncovered interest rate parity redux: Non-uniform effects," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 133-151.
   2. Narayan, Paresh Kumar & Bannigidadmath, Deepa & Narayan, Seema, 2021. "How much does economic news influence bilateral exchange rates?," Journal of International Money and Finance, Elsevier, vol. 115(C).
   3. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
   4. Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020. "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers 2020-19, Department of Economics and Business Economics, Aarhus University.

3. Byrne, JP & Cao, S & Korobilis, D, 2016. "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers 18194, University of Essex, Essex Business School.
   • Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.

   Cited by:

   1. Demetri Tsanacas, 2022. "Valuation Challenges in High Tech Platform Based Corporations," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 89-100.
   2. María Nieves López-García & Miguel Angel Sánchez-Granero & Juan Evangelista Trinidad-Segovia & Antonio Manuel Puertas & Francisco Javier De las Nieves, 2021. "Volatility Co-Movement in Stock Markets," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
   3. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
   4. Jamie L. Cross & Aubrey Poon & Dan Zhu, 2023. "Uncertainty and the Term Structure of Interest Rates," Working Papers No 12/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
   5. Petter Eilif de Lange & Morten Risstad & Kristian Semmen & Sjur Westgaard, 2023. "Term Premia in Norwegian Interest Rate Swaps," JRFM, MDPI, vol. 16(3), pages 1-19, March.
   6. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
   7. Inaba, Kei-Ichiro, 2021. "An empirical illustration of the integration of sovereign bond markets," Journal of Multinational Financial Management, Elsevier, vol. 61(C).
   8. Umar, Zaghum & Riaz, Yasir & Aharon, David Y., 2022. "Network connectedness dynamics of the yield curve of G7 countries," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 275-288.
   9. Kei-Ichiro Inaba, 2020. "The Integration of Countries' Sovereign Bond Markets: An Empirical Illustration of a Global Financial Cycle," IMES Discussion Paper Series 20-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
   10. Badics, Milan Csaba & Huszar, Zsuzsa R. & Kotro, Balazs B., 2023. "The impact of crisis periods and monetary decisions of the Fed and the ECB on the sovereign yield curve network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).

4. P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers 2015-71, Scottish Institute for Research in Economics (SIRE).
   • Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
   • Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
   • Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.

   Cited by:

   1. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.

Articles

1. Zhang, Wenwen & Cao, Shuo & Zhang, Xuan & Qu, Xuefeng, 2023. "COVID-19 and stock market performance: Evidence from the RCEP countries," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 717-735.

   Cited by:

   1. Lean, Hooi Hooi & Alkhazali, Osamah M. & Gleason, Kimberley & Yeap, Xiu Wei, 2024. "Connectedness and economic policy uncertainty spillovers to the ASEAN stock markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 167-186.
   2. Li, Dongxin & Zhang, Feipeng & Yuan, Di & Cai, Yuan, 2024. "Does COVID-19 impact the dependence between oil and stock markets? Evidence from RCEP countries," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 909-939.
   3. Azzam, Islam & El-Masry, Ahmed A. & Yamani, Ehab, 2023. "Foreign exchange market efficiency during COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 717-730.

2. Cao, Shuo & Huang, Huichou & Liu, Ruirui & MacDonald, Ronald, 2019. "The term structure of exchange rate predictability: Commonality, scapegoat, and disagreement," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 379-401.
   • Shuo Cao & Huichou Huang & Ruirui Liu & Ronald MacDonald, 2017. "The Term Structure of Exchange Rate Predictability: Commonality, Scapegoat, and Disagreement," GRU Working Paper Series GRU_2017_013, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
   See citations under working paper version above.
3. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
   • Byrne, JP & Cao, S & Korobilis, D, 2016. "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers 18194, University of Essex, Essex Business School.
   See citations under working paper version above.
4. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.

   Cited by:

   1. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
      • Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers wuwp235, Vienna University of Economics and Business, Department of Economics.
      • Florian Huber & Gregor Kastner & Martin Feldkircher, 2019. "Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 621-640, August.
      • Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series 235, WU Vienna University of Economics and Business.
      • Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2018. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics 2018-5, University of Salzburg.
   2. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "The role of time‐varying rare disaster risks in predicting bond returns and volatility," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
      • Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "The Role of Time-Varying Rare Disaster Risks in Predicting Bond Returns and Volatility," Working Papers 201770, University of Pretoria, Department of Economics.
   3. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.
      • Lajos Horváth & Zhenya Liu & Gregory Rice & Shixuan Wang, 2020. "A functional time series analysis of forward curves derived from commodity futures," Post-Print hal-03513421, HAL.
   4. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
   5. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
      • João Frois Caldeira & Rangan Gupta & Muhammad Tahir Suleman & Hudson S. Torrent, 2021. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4312-4329, December.
   6. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
   7. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
   8. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
   9. Sakar Hasan Hamza & Qingna Li, 2023. "The Dynamics of US Gasoline Demand and Its Prediction: An Extended Dynamic Model Averaging Approach," Energies, MDPI, vol. 16(12), pages 1-13, June.

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 10 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 (7) 2015-05-02 2015-08-13 2015-08-19 2016-12-04 2019-07-08 2020-08-10 2021-05-31. Author is listed
2. NEP-MON: Monetary Economics (3) 2017-03-05 2020-08-10 2021-05-31. Author is listed
3. NEP-ORE: Operations Research (3) 2015-05-02 2015-08-13 2019-12-02. Author is listed
4. NEP-ENE: Energy Economics (2) 2017-03-05 2019-12-02
5. NEP-FMK: Financial Markets (2) 2015-08-19 2016-12-04
6. NEP-FOR: Forecasting (2) 2015-08-13 2019-07-08
7. NEP-CNA: China (1) 2019-12-02
8. NEP-ECM: Econometrics (1) 2015-05-02
9. NEP-IFN: International Finance (1) 2016-12-04

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