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Zhongfang He

Personal Details

First Name:Zhongfang
Middle Name:
Last Name:He
Suffix:
RePEc Short-ID:phe355
[This author has chosen not to make the email address public]
https://sites.google.com/site/zhongfanghe2004/
Terminal Degree:2009 Department of Economics; University of Toronto (from RePEc Genealogy)

Affiliation

Royal Bank of Canada

http://www.rbc.com/about-rbc.html
Canada, Toronto
M5V 3K7
1-416-313-2262

Research output

as
Jump to: Working papers Articles

Working papers

  1. He, Zhongfang, 2018. "A Class of Generalized Dynamic Correlation Models," MPRA Paper 84820, University Library of Munich, Germany.
  2. He, Zhongfang, 2014. "Efficient estimation of extreme value-at-risks for standalone structural exchange rate risk," MPRA Paper 57800, University Library of Munich, Germany.
  3. Céline Gauthier & Zhongfang He & Moez Souissi, 2010. "Understanding Systemic Risk: The Trade-Offs between Capital, Short-Term Funding and Liquid Asset Holdings," Staff Working Papers 10-29, Bank of Canada.
  4. Zhongfang He, 2010. "Evaluating the Effect of the Bank of Canada's Conditional Commitment Policy," Discussion Papers 10-11, Bank of Canada.
  5. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
  6. Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Staff Working Papers 09-31, Bank of Canada.

Articles

  1. Zhongfang He, 2024. "A Dynamic Binary Probit Model with Time-Varying Parameters and Shrinkage Prior," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 335-346, January.
  2. Zhongfang He, 2024. "Time-dependent shrinkage of time-varying parameter regression models," Econometric Reviews, Taylor & Francis Journals, vol. 43(1), pages 1-29, January.
  3. Zhongfang He, 2024. "Locally time-varying parameter regression," Econometric Reviews, Taylor & Francis Journals, vol. 43(5), pages 269-300, May.
  4. He, Zhongfang & Maheu, John M., 2010. "Real time detection of structural breaks in GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.

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. Céline Gauthier & Zhongfang He & Moez Souissi, 2010. "Understanding Systemic Risk: The Trade-Offs between Capital, Short-Term Funding and Liquid Asset Holdings," Staff Working Papers 10-29, Bank of Canada.

    Cited by:

    1. Stijn Ferrari & Patrick Van Roy & Cristina Vespro, 2011. "Stress testing credit risk: modelling issues," Financial Stability Review, National Bank of Belgium, vol. 9(1), pages 105-120, June.
    2. Garratt, Rodney J. & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2014. "The great entanglement: The contagious capacity of the international banking network just before the 2008 crisis," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 367-385.
    3. Wilmar Cabrera & Jorge Hurtado & Miguel Morales & Juan Sebastián Rojas, 2014. "A Composite Indicator of Systemic Stress (CISS) for Colombia," Borradores de Economia 826, Banco de la Republica de Colombia.
    4. Jose Fique, 2017. "The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0," Technical Reports 111, Bank of Canada.
    5. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, 2020. "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 251-273.
    6. Batiz-Zuk, Enrique & López-Gallo, Fabrizio & Martínez-Jaramillo, Serafín & Solórzano-Margain, Juan Pablo, 2016. "Calibrating limits for large interbank exposures from a system-wide perspective," Journal of Financial Stability, Elsevier, vol. 27(C), pages 198-216.
    7. Georgescu, Oana-Maria, 2015. "Contagion in the interbank market: Funding versus regulatory constraints," Journal of Financial Stability, Elsevier, vol. 18(C), pages 1-18.
    8. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    9. Céline Gauthier & Toni Gravelle & Xuezhi Liu & Moez Souissi, 2011. "What Matters in Determining Capital Surcharges for Systemically Important Financial Institutions?," Discussion Papers 11-9, Bank of Canada.
    10. Ivan Alves & Stijn Ferrari & Pietro Franchini & Jean-Cyprien Heam & Pavol Jurca & Sam Langfield & Sebastiano Laviola & Franka Liedorp & Antonio Sánchez & Santiago Tavolaro & Guillaume Vuillemey, 2013. "The structure and resilience of the European interbank market," ESRB Occasional Paper Series 03, European Systemic Risk Board.
    11. de Haan, Leo & van den End, Jan Willem, 2013. "Bank liquidity, the maturity ladder, and regulation," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3930-3950.
    12. International Monetary Fund, 2014. "Canada: Financial Sector Assessment Program-Stress Testing-Technical Note," IMF Staff Country Reports 2014/069, International Monetary Fund.
    13. Ferrari, Stijn & Van Roy, Patrick & Vespro, Cristina, 2021. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Journal of Financial Stability, Elsevier, vol. 52(C).
    14. Garratt, Rodney & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2011. "The contagious capacity of the international banking network: 1985-2009," University of California at Santa Barbara, Economics Working Paper Series qt0r89f16p, Department of Economics, UC Santa Barbara.

  2. Zhongfang He, 2010. "Evaluating the Effect of the Bank of Canada's Conditional Commitment Policy," Discussion Papers 10-11, Bank of Canada.

    Cited by:

    1. Pierre L. Siklos, Matthias Neuenkirch, 2014. "How Monetary Policy is Made: Two Canadian Tales," LCERPA Working Papers 0075, Laurier Centre for Economic Research and Policy Analysis, revised 01 Mar 2014.
    2. M. Neuenkirch, P. Siklos, 2014. "When Is Lift-Off? Evaluating Forward Guidance From The Shadow," LCERPA Working Papers wm0066, Laurier Centre for Economic Research and Policy Analysis.
    3. R. Erasmus & H. Hollander, 2020. "A Forward Guidance Indicator For The South African Reserve Bank: Implementing A Text Analysis Algorithm," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 44(3), pages 41-72, December.
    4. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    5. Coenen, Günter & Montes-Galdón, Carlos & Saint Guilhem, Arthur & Hutchinson, John & Motto, Roberto, 2022. "Rate forward guidance in an environment of large central bank balance sheets: a Eurosystem stock-taking assessment," Occasional Paper Series 290, European Central Bank.
    6. Moessner, Richhild, 2013. "Effects of explicit FOMC policy rate guidance on interest rate expectations," Economics Letters, Elsevier, vol. 121(2), pages 170-173.
    7. Ms. Margaux MacDonald & Michał Ksawery Popiel, 2017. "Unconventional Monetary Policy in a Small Open Economy," IMF Working Papers 2017/268, International Monetary Fund.
    8. Ianthi Vayid, 2013. "Central Bank Communications Before, During and After the Crisis: From Open-Market Operations to Open-Mouth Policy," Staff Working Papers 13-41, Bank of Canada.
    9. Yoshiyuki Nakazono & Kozo Ueda, 2011. "Policy Commitment and Market Expectations: Lessons Learned from Survey Based Evidence under Japan's Quantitative Easing Policy," IMES Discussion Paper Series 11-E-12, Institute for Monetary and Economic Studies, Bank of Japan.
    10. José Dorich & Nicholas Labelle & Vadym Lepetyuk & Rhys R. Mendes, 2018. "Could a Higher Inflation Target Enhance Macroeconomic Stability?," Staff Working Papers 18-17, Bank of Canada.
    11. Domenico Lombardi & Pierre L. Siklos & Samantha St. Amand, 2019. "Government Bond Yields At The Effective Lower Bound: International Evidence," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 102-120, January.
    12. Christopher Ragan, 2011. "Precision Targeting: The Economics – and Politics – of Improving Canada’s Inflation-Targeting Framework," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 321, February.
    13. Richhild Moessner & David-Jan Jansen & Jakob de Haan, 2017. "Communication About Future Policy Rates In Theory And Practice: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(3), pages 678-711, July.
    14. Federico J. Diez & Ignacio Presno, 2013. "Domestic and foreign announcements on unconventional monetary policy and exchange rates," Public Policy Brief, Federal Reserve Bank of Boston.
    15. Domenico Lombardi & Pierre Siklos & Samantha St. Amand, 2018. "A Survey Of The International Evidence And Lessons Learned About Unconventional Monetary Policies: Is A ‘New Normal’ In Our Future?," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1229-1256, December.

  3. Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Staff Working Papers 09-31, Bank of Canada.

    Cited by:

    1. S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Monica Billio & Roberto Casarin & Anthony Osuntuyi, 2012. "Efficient Gibbs Sampling for Markov Switching GARCH Models," Working Papers 2012:35, Department of Economics, University of Venice "Ca' Foscari".
    3. Arnaud Dufays, 2016. "Evolutionary Sequential Monte Carlo Samplers for Change-Point Models," Econometrics, MDPI, vol. 4(1), pages 1-33, March.
    4. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
    5. DUFAYS, Arnaud, 2012. "Infinite-state Markov-switching for dynamic volatility and correlation models," LIDAM Discussion Papers CORE 2012043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Joshua C C Chan & Gary Koop, 2012. "Modelling breaks and clusters in the steady states of macroeconomic variables," CAMA Working Papers 2012-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Jin, Xin & Maheu, John M., 2016. "Modeling covariance breakdowns in multivariate GARCH," Journal of Econometrics, Elsevier, vol. 194(1), pages 1-23.
    9. Bauwens, Luc & De Backer, Bruno & Dufays, Arnaud, 2014. "A Bayesian method of change-point estimation with recurrent regimes: Application to GARCH models," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 207-229.
    10. Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
    11. He, Zhongfang & Maheu, John M., 2010. "Real time detection of structural breaks in GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.
    12. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
    13. Jian He & Asma Khedher & Peter Spreij, 2021. "A Kalman particle filter for online parameter estimation with applications to affine models," Statistical Inference for Stochastic Processes, Springer, vol. 24(2), pages 353-403, July.
    14. Kim, Kyungwon & Jung, Sean S., 2014. "Empirical analysis of structural change in Credit Default Swap volatility," Chaos, Solitons & Fractals, Elsevier, vol. 60(C), pages 56-67.
    15. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    16. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
    17. Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
    18. Mario Bonino & Matteo Camelia & Paolo Pigato, 2016. "A multivariate model for financial indices and an algorithm for detection of jumps in the volatility," Working Papers hal-01408495, HAL.
    19. De Wachter, Stefan & Tzavalis, Elias, 2012. "Detection of structural breaks in linear dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3020-3034.
    20. Almeida e Santos Nogueira, R.J. & Basturk, N. & Kaymak, U. & Costa Sousa, J.M., 2013. "Estimation of flexible fuzzy GARCH models for conditional density estimation," ERIM Report Series Research in Management ERS-2013-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    21. BAUWENS, Luc & DUFAYS, Arnaud & DE BACKER, Bruno, 2011. "Estimating and forecasting structural breaks in financial time series," LIDAM Discussion Papers CORE 2011055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Kim, Kyungwon, 2013. "Modeling financial crisis period: A volatility perspective of Credit Default Swap market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4977-4988.
    23. Ross, Gordon J., 2013. "Modelling financial volatility in the presence of abrupt changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 350-360.
    24. Sigauke, C. & Chikobvu, D., 2011. "Prediction of daily peak electricity demand in South Africa using volatility forecasting models," Energy Economics, Elsevier, vol. 33(5), pages 882-888, September.
    25. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    26. Gordon J. Ross, 2012. "Modeling Financial Volatility in the Presence of Abrupt Changes," Papers 1212.6016, arXiv.org.

Articles

  1. He, Zhongfang & Maheu, John M., 2010. "Real time detection of structural breaks in GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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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 6 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 (3) 2008-09-29 2009-12-05 2018-03-12
  2. NEP-ETS: Econometric Time Series (3) 2008-09-29 2009-12-05 2018-03-12
  3. NEP-RMG: Risk Management (2) 2010-11-20 2014-08-20
  4. NEP-BAN: Banking (1) 2010-11-20
  5. NEP-BEC: Business Economics (1) 2010-11-20
  6. NEP-CBA: Central Banking (1) 2010-09-11
  7. NEP-MAC: Macroeconomics (1) 2010-09-11
  8. NEP-MON: Monetary Economics (1) 2010-09-11
  9. NEP-REG: Regulation (1) 2010-11-20

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