IDEAS home Printed from https://ideas.repec.org/a/taf/veecee/v16y2014i3p189-206.html
   My bibliography  Save this article

The missing strategic link - human capital knowledge, and risk in the finance industry - two mini case studies

Author

Listed:
  • C. Royal
  • J. Evans
  • S.S. Windsor

Abstract

Understanding risks faced by firms and their reactions in response to those risks requires analysis of the ambiguities inherent in human behaviour. Yet, evidence from two case studies on investment and insurance professionals in the finance industry suggests that more focus on human capital may be prudent in reducing epistemic uncertainty particularly considering recent events in which the investing public has had a crisis of confidence in corporate leaders. It is particularly appropriate for regulators to provide a context in which market participants exercise due diligence by ensuring that human capital is enhanced by as much knowledge as possible where more human capital knowledge could reduce both risk in investments and insurance, ultimately challenging the sustainability of organisations during periods of epistemic uncertainty. This paper suggests that investment analysts, fund managers and insurance professionals lack the appropriate competencies, skills, knowledge and abilities required to meet the demands of the analysis of human capital in relation to understanding risk. Such competencies include disciplinary knowledge of sustainable human resource management (HRM) and organisational change systems and their links to corporate performance and risk mitigation. An alignment with HRM/HR that is equally focused on internal and external risk is of strategic importance for such professionals and their organisations in human capital risk mitigation.

Suggested Citation

  • C. Royal & J. Evans & S.S. Windsor, 2014. "The missing strategic link - human capital knowledge, and risk in the finance industry - two mini case studies," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 189-206, July.
  • Handle: RePEc:taf:veecee:v:16:y:2014:i:3:p:189-206
    DOI: 10.1080/13691066.2014.916856
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13691066.2014.916856
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13691066.2014.916856?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Meredith Beechey & David Gruen & James Vickery, 2000. "The Efficient Market Hypothesis: A Survey," RBA Research Discussion Papers rdp2000-01, Reserve Bank of Australia.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arsenijević Olja & Trivan Dragan & Podbregar Iztok & Šprajc Polona, 2017. "Strategic Aspect of Knowledge Management," Organizacija, Sciendo, vol. 50(2), pages 163-176, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    2. Amaresh Das, 2011. "Martingales, Efficient Market Hypothesis and Kolmogorov’s Complexity Theory," Information Management and Business Review, AMH International, vol. 2(6), pages 252-258.
    3. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    4. J. P. Marney & Heather Tarbert & Jos Koetsier & Marco Guidi, 2008. "The application of the self-organizing map, the k-means algorithm and the multi-layer perceptron to the detection of technical trading patterns," Applied Financial Economics, Taylor & Francis Journals, vol. 18(12), pages 1009-1019.
    5. Roland Rothenstein, 2018. "Quantification of market efficiency based on informational-entropy," Papers 1812.02371, arXiv.org.
    6. Aghamohammadi, Cina & Ebrahimian, Mehran & Tahmooresi, Hamed, 2014. "Permutation approach, high frequency trading and variety of micro patterns in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 25-30.
    7. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
    8. Mubariz Hasanov, 2009. "A note on efficiency of Australian and New Zealand stock markets," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 269-273.
    9. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Kei Takeuchi & Akimichi Takemura & Masayuki Kumon, 2011. "New Procedures for Testing Whether Stock Price Processes are Martingales," Computational Economics, Springer;Society for Computational Economics, vol. 37(1), pages 67-88, January.
    11. Y. Shi & A. N. Gorban & T. Y. Yang, 2013. "Is it possible to predict long-term success with k-NN? Case Study of four market indices (FTSE100, DAX, HANGSENG, NASDAQ)," Papers 1307.8308, arXiv.org.
    12. Dima, Bogdan & Barna, Flavia & Pirtea, Marilen, 2007. "Romanian Capital Market And The Informational Efficiency," MPRA Paper 5807, University Library of Munich, Germany.
    13. Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt, 2016. "Price Volatility Transmission From Oil To Energy And Non-Energy Agricultural Commodities," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Da Silva, Sergio, 2015. "Financial Market Efficiency Should be Gauged in Relative Rather than Absolute Terms," MPRA Paper 64497, University Library of Munich, Germany.
    15. Khondaker Golam Moazzem & Md. Tariqur Rahman, 2012. "Stabilising the Capital Market of Bangladesh: Addressing the Structural, Institutional and Operational Issues," CPD Working Paper 95, Centre for Policy Dialogue (CPD).
    16. Mynhardt, H. R. & Plastun, Alex, 2013. "The Overreaction Hypothesis: The Case of Ukrainian Stock Market," MPRA Paper 58941, University Library of Munich, Germany.
    17. Hasan A?an Karaduman, 2016. "Stylized Facts And Weak-Form Efficiency In Turkish Stock Market," Proceedings of International Academic Conferences 4006651, International Institute of Social and Economic Sciences.
    18. Thomas Schuster, 2003. "News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media," Finance 0305009, University Library of Munich, Germany.
    19. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    20. Vivian Lei & Filip Vesely, 2009. "Market Efficiency: Evidence From A No-Bubble Asset Market Experiment," Pacific Economic Review, Wiley Blackwell, vol. 14(2), pages 246-258, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:veecee:v:16:y:2014:i:3:p:189-206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TVEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.