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Victoria L. Lemieux

Personal Details

First Name:Victoria
Middle Name:L.
Last Name:Lemieux
Suffix:
RePEc Short-ID:ple888

Affiliation

University of British Columbia

http://slais.ubc.ca
Canada, Vancouver

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Victoria Lemieux, 2015. "We Feel Fine," World Bank Publications - Reports 22778, The World Bank Group.
  2. Victoria Lemieux & Payam S. Rahmdel & Rick Walker & B.L. William Wong & Mark D. Flood, 2015. "Clustering Techniques and Their Effect on Portfolio Formation and Risk Analysis," Staff Discussion Papers 15-01, Office of Financial Research, US Department of the Treasury.
  3. Mark D. Flood & Victoria L. Lemieux & Margaret Varga & B.L. William Wong, 2014. "The Application of Visual Analytics to Financial Stability Monitoring," Working Papers 14-02, Office of Financial Research, US Department of the Treasury, revised 07 Oct 2014.

Articles

  1. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
  2. Aaron J. Loehrlein & Victoria L. Lemieux & Michael Bennett, 2014. "The classification of financial products," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 263-280, February.

Books

  1. Victoria L. Lemieux (ed.), 2016. "Building Trust in Information," Springer Proceedings in Business and Economics, Springer, number 978-3-319-40226-0, December.
  2. Victoria L. Lemieux & Stephanie E. Trapnell, 2016. "Public Access to Information for Development," World Bank Publications - Books, The World Bank Group, number 24578.

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. Victoria Lemieux & Payam S. Rahmdel & Rick Walker & B.L. William Wong & Mark D. Flood, 2015. "Clustering Techniques and Their Effect on Portfolio Formation and Risk Analysis," Staff Discussion Papers 15-01, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. MohammadAmin Fazli & Parsa Alian & Ali Owfi & Erfan Loghmani, 2021. "RPS: Portfolio Asset Selection using Graph based Representation Learning," Papers 2111.15634, arXiv.org.
    2. Gautier Marti & Frank Nielsen & Philippe Donnat & S'ebastien Andler, 2016. "On clustering financial time series: a need for distances between dependent random variables," Papers 1603.07822, arXiv.org.
    3. Gautier Marti & Philippe Very & Philippe Donnat & Frank Nielsen, 2015. "A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series," Papers 1509.05475, arXiv.org.
    4. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    5. Jos'e Vin'icius de Miranda Cardoso & Jiaxi Ying & Daniel Perez Palomar, 2020. "Algorithms for Learning Graphs in Financial Markets," Papers 2012.15410, arXiv.org.
    6. Han Yang & Ming-hui Wang & Nan-jing Huang, 2021. "The $$\alpha$$ α -Tail Distance with an Application to Portfolio Optimization Under Different Market Conditions," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1195-1224, December.
    7. Gautier Marti & Philippe Very & Philippe Donnat, 2015. "Toward a generic representation of random variables for machine learning," Working Papers hal-01196883, HAL.

  2. Mark D. Flood & Victoria L. Lemieux & Margaret Varga & B.L. William Wong, 2014. "The Application of Visual Analytics to Financial Stability Monitoring," Working Papers 14-02, Office of Financial Research, US Department of the Treasury, revised 07 Oct 2014.

    Cited by:

    1. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    2. Cwynar Andrzej & Cwynar Wiktor & Pater Robert & Kaźmierkiewicz Piotr, 2017. "Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(4), pages 1-13, December.
    3. Annamaria Lusardi & Anya Savikhin Samek & Arie Kapteyn & Lewis Glinert & Angela Hung & Aileen Heinberg, 2014. "Visual Tools and Narratives: New Ways to Improve Financial Literacy," NBER Working Papers 20229, National Bureau of Economic Research, Inc.
    4. Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," BIS Working Papers 1188, Bank for International Settlements.
    5. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
    6. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    7. Mark E. Paddrik & Richard Haynes & Andrew E. Todd & William T. Scherer & Peter A. Beling, 2016. "Visual analysis to support regulators in electronic order book markets," Environment Systems and Decisions, Springer, vol. 36(2), pages 167-182, June.
    8. Bholat, David & Broughton, Nida & Ter Meer, Janna & Walczak, Eryk, 2019. "Enhancing central bank communications using simple and relatable information," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 1-15.
    9. Aikman, David & Kiley, Michael & Lee, Seung Jung & Palumbo, Michael G. & Warusawitharana, Missaka, 2017. "Mapping heat in the U.S. financial system," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 36-64.
    10. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    11. Constantin Zopounidis & Michalis Doumpos & Dimitrios Niklis, 2018. "Financial decision support: an overview of developments and recent trends," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 63-76, June.
    12. Zhibin Niu & Runlin Li & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2020. "iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans," Papers 2006.09542, arXiv.org, revised Aug 2020.
    13. Stanley Fischer, 2015. "Financial Stability and Shadow Banks: What We Don't Know Could Hurt Us: a speech at the \"Financial Stability: Policy Analysis and Data Needs\" 2015 Financial Stability Conference sponsored ," Speech 885, Board of Governors of the Federal Reserve System (U.S.).
    14. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.
    15. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    16. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.

Articles

  1. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Books

    Sorry, no citations of books 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 1 paper 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-BAN: Banking (1) 2015-05-30
  2. NEP-CBA: Central Banking (1) 2015-05-30

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