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Xinwen Ni

Personal Details

First Name:Xinwen
Middle Name:
Last Name:Ni
Suffix:
RePEc Short-ID:pni449
[This author has chosen not to make the email address public]

Affiliation

Wirtschaftswissenschaftliche Fakultät
Humboldt-Universität Berlin

Berlin, Germany
http://www.wiwi.hu-berlin.de/
RePEc:edi:wfhubde (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Zhang, Linyun & Huang, Feiming & Lu, Lu & Ni, Xinwen, 2021. "Green financial development improving energy efficiency and economic growth: A study of CPEC area in COVID-19 era," IRTG 1792 Discussion Papers 2021-017, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  2. Xinwen Ni & Wolfgang Karl Hardle & Taojun Xie, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," Papers 2009.12121, arXiv.org, revised Aug 2021.
  3. Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  4. Ni, Xinwen, 2019. "Voting for Health Insurance Policy: the U.S. versus Europe," IRTG 1792 Discussion Papers 2019-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  5. Tang, Yang & Ni, Xinwen, 2019. "Understanding the Role of Housing in Inequality and Social Mobility," IRTG 1792 Discussion Papers 2019-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  6. Ni, Xinwen, 2019. "The role of medical expenses in the saving decision of elderly: a life cycle model," IRTG 1792 Discussion Papers 2019-011, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  7. Härdle, Wolfgang Karl & Lee, David Kuo Chuen & Nasekin, Sergey & Ni, Xinwen & Petukhina, Alla, 2015. "Tail event driven ASset allocation: Evidence from equity and mutual funds' markets," SFB 649 Discussion Papers 2015-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

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. Xinwen Ni & Wolfgang Karl Hardle & Taojun Xie, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," Papers 2009.12121, arXiv.org, revised Aug 2021.

    Cited by:

    1. Caratozzolo, Vincenzo & Misuri, Alessio & Cozzani, Valerio, 2022. "A generalized equipment vulnerability model for the quantitative risk assessment of horizontal vessels involved in Natech scenarios triggered by floods," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    2. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    3. Zinovyev, Elizaveta & Reule, Raphael C. G. & Härdle, Wolfgang, 2021. "Understanding Smart Contracts: Hype or hope?," IRTG 1792 Discussion Papers 2021-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

  2. Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

    Cited by:

    1. Zinovyev, Elizaveta & Reule, Raphael C. G. & Härdle, Wolfgang, 2021. "Understanding Smart Contracts: Hype or hope?," IRTG 1792 Discussion Papers 2021-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Cristina Sbirneciu & Nicoleta Valentina Florea, 2023. "Evaluating the Impact of Emerging Technologies on the ECB's Mandate: Can the European Central Bank Use Distributed Ledger Technology and Digital Euro to Advance Financial Inclusion in Europe?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 1059-1070, August.

  3. Tang, Yang & Ni, Xinwen, 2019. "Understanding the Role of Housing in Inequality and Social Mobility," IRTG 1792 Discussion Papers 2019-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

    Cited by:

    1. Sabates-Wheeler, Rachel & Barker, Jeremy P., 2024. "The place of religious inequalities within international development and humanitarian response frameworks: Lessons from Iraq," World Development, Elsevier, vol. 173(C).

  4. Härdle, Wolfgang Karl & Lee, David Kuo Chuen & Nasekin, Sergey & Ni, Xinwen & Petukhina, Alla, 2015. "Tail event driven ASset allocation: Evidence from equity and mutual funds' markets," SFB 649 Discussion Papers 2015-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Lehlohonolo Letho & Grieve Chelwa & Abdul Latif Alhassan, 2022. "Cryptocurrencies and portfolio diversification in an emerging market," China Finance Review International, Emerald Group Publishing Limited, vol. 12(1), pages 20-50, January.
    2. Tim Schmitz & Ingo Hoffmann, 2020. "Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investors," Papers 2006.06237, arXiv.org, revised Aug 2020.
    3. Gschöpf, Philipp & Härdle, Wolfgang Karl & Mihoci, Andrija, 2015. "TERES: Tail event risk expectile based shortfall," SFB 649 Discussion Papers 2015-047, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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-BIG: Big Data (2) 2020-10-05 2021-03-15
  2. NEP-PAY: Payment Systems and Financial Technology (2) 2020-10-05 2021-03-15
  3. NEP-RMG: Risk Management (2) 2020-10-05 2021-03-15
  4. NEP-CMP: Computational Economics (1) 2021-03-15
  5. NEP-CNA: China (1) 2021-10-25
  6. NEP-ENE: Energy Economics (1) 2021-10-25
  7. NEP-ENV: Environmental Economics (1) 2021-10-25
  8. NEP-FDG: Financial Development and Growth (1) 2021-10-25
  9. NEP-FMK: Financial Markets (1) 2020-10-05
  10. NEP-MON: Monetary Economics (1) 2021-03-15

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