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Hoang Nguyen

Not to be confused with: Hoang Minh Nguyen

Personal Details

First Name:Hoang
Middle Name:
Last Name:Nguyen
Suffix:
RePEc Short-ID:png291
[This author has chosen not to make the email address public]
http://hoanguc3m.github.io

Affiliation

Handelshögskolan
Örebro Universitet

Örebro, Sweden
http://www.oru.se/Institutioner/Handelshogskolan-vid-Orebro-universitet/
RePEc:edi:ieoruse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Nguyen, Hoang & Virbickaite, Audrone, 2022. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Working Papers 2022:5, Örebro University, School of Business.
  2. Elena Farahbakhsh Touli & Hoang Nguyen & Olha Bodnar, 2022. "Monitoring the Dynamic Networks of Stock Returns," Papers 2210.16679, arXiv.org.
  3. Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
  4. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
  5. 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.
  6. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2021. "Predicting returns and dividend growth - the role of non-Gaussian innovations," Working Papers 2021:10, Örebro University, School of Business.
  7. Nguyen, Hoang & Nguyen, Trong-Nghia & Tran, Minh-Ngoc, 2021. "A dynamic leverage stochastic volatility model," Working Papers 2021:14, Örebro University, School of Business.
  8. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
  9. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
  10. Nguyen, Hoang & Ausín Olivera, María Concepción & Galeano San Miguel, Pedro, 2018. "Variational Inference for high dimensional structured factor copulas," DES - Working Papers. Statistics and Econometrics. WS 27652, Universidad Carlos III de Madrid. Departamento de Estadística.
  11. Nguyen, Hoang & Ausín Olivera, María Concepción & Galeano San Miguel, Pedro, 2017. "Parallel Bayesian Inference for High Dimensional Dynamic Factor Copulas," DES - Working Papers. Statistics and Econometrics. WS 24552, Universidad Carlos III de Madrid. Departamento de Estadística.

Articles

  1. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2022. "The Relation between the High-Yield Bond Spread and the Unemployment Rate in the Euro Area," Finance Research Letters, Elsevier, vol. 46(PA).
  2. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).
  3. Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021. "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, vol. 14(11), pages 1-17, October.
  4. Nguyen, Hoang & Ausín, M. Concepción & Galeano, Pedro, 2020. "Variational inference for high dimensional structured factor copulas," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
  5. Hoang Nguyen & M Concepción Ausín & Pedro Galeano, 2019. "Parallel Bayesian Inference for High-Dimensional Dynamic Factor Copulas," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(1), pages 118-151.

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. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.

    Cited by:

    1. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2022. "The Relation between the High-Yield Bond Spread and the Unemployment Rate in the Euro Area," Finance Research Letters, Elsevier, vol. 46(PA).
    2. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).
    3. Guljanov, Gaygysyz & Mutschler, Willi & Trede, Mark, 2022. "Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve," Dynare Working Papers 78, CEPREMAP.
    4. Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
    5. Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
    6. Gaygysyz Guljanov & Willi Mutschler & Mark Trede, 2022. "Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve," CQE Working Papers 10122, Center for Quantitative Economics (CQE), University of Muenster.

  2. Nguyen, Hoang & Ausín Olivera, María Concepción & Galeano San Miguel, Pedro, 2018. "Variational Inference for high dimensional structured factor copulas," DES - Working Papers. Statistics and Econometrics. WS 27652, Universidad Carlos III de Madrid. Departamento de Estadística.

    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. Verhoijsen Alex & Krupskiy Pavel, 2022. "Fast inference methods for high-dimensional factor copulas," Dependence Modeling, De Gruyter, vol. 10(1), pages 270-289, January.

  3. Nguyen, Hoang & Ausín Olivera, María Concepción & Galeano San Miguel, Pedro, 2017. "Parallel Bayesian Inference for High Dimensional Dynamic Factor Copulas," DES - Working Papers. Statistics and Econometrics. WS 24552, Universidad Carlos III de Madrid. Departamento de Estadística.

    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. Nguyen, Hoang & Ausín, M. Concepción & Galeano, Pedro, 2020. "Variational inference for high dimensional structured factor copulas," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    3. Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
    4. Pavel Krupskii & Harry Joe, 2022. "Approximate likelihood with proxy variables for parameter estimation in high-dimensional factor copula models," Statistical Papers, Springer, vol. 63(2), pages 543-569, April.
    5. Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.

Articles

  1. Nguyen, Hoang & Ausín, M. Concepción & Galeano, Pedro, 2020. "Variational inference for high dimensional structured factor copulas," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    See citations under working paper version above.
  2. Hoang Nguyen & M Concepción Ausín & Pedro Galeano, 2019. "Parallel Bayesian Inference for High-Dimensional Dynamic Factor Copulas," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(1), pages 118-151.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 12 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-ORE: Operations Research (7) 2020-11-16 2021-05-31 2021-05-31 2021-05-31 2021-08-16 2021-09-06 2022-01-24. Author is listed
  2. NEP-ECM: Econometrics (6) 2017-05-21 2018-11-12 2021-05-31 2021-08-16 2021-09-06 2022-05-30. Author is listed
  3. NEP-ETS: Econometric Time Series (5) 2017-05-21 2018-11-12 2020-11-16 2021-05-31 2021-08-16. Author is listed
  4. NEP-RMG: Risk Management (4) 2021-05-31 2021-05-31 2021-08-16 2021-09-06. Author is listed
  5. NEP-FMK: Financial Markets (2) 2021-05-31 2022-12-05
  6. NEP-FOR: Forecasting (2) 2020-11-16 2021-05-31
  7. NEP-ISF: Islamic Finance (2) 2021-08-16 2021-09-06
  8. NEP-CFN: Corporate Finance (1) 2021-05-31
  9. NEP-CWA: Central & Western Asia (1) 2022-01-24
  10. NEP-ENE: Energy Economics (1) 2022-05-30
  11. NEP-NET: Network Economics (1) 2022-12-05
  12. NEP-SEA: South East Asia (1) 2021-05-31
  13. NEP-URE: Urban & Real Estate Economics (1) 2020-11-16

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