IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v30y2009i6p393-403.html
   My bibliography  Save this article

Holistic investment assessment: optimization, risk appraisal and decision making

Author

Listed:
  • Georgios Tziralis

    (Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece)

  • Konstantinos Kirytopoulos

    (Department of Financial and Management Engineering, University of the Aegean, Fostini, Chios, Greece)

  • Athanasios Rentizelas

    (Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece)

  • Ilias Tatsiopoulos

    (Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece)

Abstract

On deciding for the most appropriate investment when capital restrictions exist, investors define their alternatives and analyze each one of them. Traditionally, the definition, appraisal and analysis stages are treated separately. Herein, an innovative holistic method is proposed for bridging these stages. Within this method, investment attributes definition occurs by genetic algorithm optimization, while the analysis of the investment is realized through simulation. The method also proposes the NPV Expected Shortfall and the NPV Risk Preference Index as investment evaluation criteria. An illustrative case study of two mutually exclusive renewable energy investment scenarios is also used for demonstration purposes. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Georgios Tziralis & Konstantinos Kirytopoulos & Athanasios Rentizelas & Ilias Tatsiopoulos, 2009. "Holistic investment assessment: optimization, risk appraisal and decision making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 393-403.
    • Handle: RePEc:wly:mgtdec:v:30:y:2009:i:6:p:393-403
    DOI: 10.1002/mde.1458
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/mde.1458
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.1458?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
    ---><---

    References listed on IDEAS

    as
    1. A. Hacura & M. Jadamus-Hacura & A. Kocot, 2001. "Risk analysis in investment appraisal based on the Monte Carlo simulation technique," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 20(4), pages 551-553, April.
    2. Yamai, Yasuhiro & Yoshiba, Toshinao, 2005. "Value-at-risk versus expected shortfall: A practical perspective," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 997-1015, April.
    3. Savvides, Savvakis C., 1994. "Risk Analysis in Investment Appraisal," MPRA Paper 10035, University Library of Munich, Germany, revised 14 Aug 2008.
    4. Alkaraan, Fadi & Northcott, Deryl, 2006. "Strategic capital investment decision-making: A role for emergent analysis tools?," The British Accounting Review, Elsevier, vol. 38(2), pages 149-173.
    5. Viktor K. Diamantas & Konstantinos A. Kirytopoulos & Vrassidas N. Leopoulos, 2007. "Project's duration prediction: traditional tools or simulation?," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 3(3/4), pages 317-333.
    6. Glen C. Arnold & Panos D. Hatzopoulos, 2000. "The Theory‐Practice Gap in Capital Budgeting: Evidence from the United Kingdom," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5‐6), pages 603-626, June.
    7. Jeffrey J. Reuer & Tony W. Tong, 2007. "Corporate investments and growth options," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 863-877.
    8. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    9. Glen C. Arnold & Panos D. Hatzopoulos, 2000. "The Theory-Practice Gap in Capital Budgeting: Evidence from the United Kingdom," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5&6), pages 603-626.
    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. Aquila, Giancarlo & Rotela Junior, Paulo & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo, 2017. "Wind power feasibility analysis under uncertainty in the Brazilian electricity market," Energy Economics, Elsevier, vol. 65(C), pages 127-136.
    2. Rocha, Luiz Célio Souza & Aquila, Giancarlo & Rotela Junior, Paulo & Paiva, Anderson Paulo de & Pamplona, Edson de Oliveira & Balestrassi, Pedro Paulo, 2018. "A stochastic economic viability analysis of residential wind power generation in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 412-419.

    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. Siziba, Simiso & Hall, John Henry, 2021. "The evolution of the application of capital budgeting techniques in enterprises," Global Finance Journal, Elsevier, vol. 47(C).
    2. Chittenden, Francis & Derregia, Mohsen, 2015. "Uncertainty, irreversibility and the use of ‘rules of thumb’ in capital budgeting," The British Accounting Review, Elsevier, vol. 47(3), pages 225-236.
    3. Huikku, Jari & Karjalainen, Jouko & Seppälä, Tomi, 2018. "The dynamism of pre-decision controls in the appraisal of strategic investments," The British Accounting Review, Elsevier, vol. 50(5), pages 516-538.
    4. Sureka, Riya & Kumar, Satish & Colombage, Sisira & Abedin, Mohammad Zoynul, 2022. "Five decades of research on capital budgeting – A systematic review and future research agenda," Research in International Business and Finance, Elsevier, vol. 60(C).
    5. Elmassri, Moataz Moamen & Harris, Elaine Pamela & Carter, David Bernard, 2016. "Accounting for strategic investment decision-making under extreme uncertainty," The British Accounting Review, Elsevier, vol. 48(2), pages 151-168.
    6. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    7. Rostagno, Luciano Martin, 2005. "Empirical tests of parametric and non-parametric Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) measures for the Brazilian stock market index," ISU General Staff Papers 2005010108000021878, Iowa State University, Department of Economics.
    8. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    9. Olivier Rousse, 2008. "On the bias of yield-based capital budgeting methods," Economics Bulletin, AccessEcon, vol. 7(9), pages 1-8.
    10. Roopali Batra & Satish Verma, 2014. "An Empirical Insight into Different Stages of Capital Budgeting," Global Business Review, International Management Institute, vol. 15(2), pages 339-362, June.
    11. Marcell Béli & Kata Váradi, 2017. "A possible methodology for determining the initial margin," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 16(2), pages 119-147.
    12. Martin Herdegen & Cosimo Munari, 2023. "An elementary proof of the dual representation of Expected Shortfall," Papers 2306.14506, arXiv.org.
    13. Marcin Pawlak & Dariusz Zarzecki, 2020. "Investment Appraisal Practice in the European Union Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 687-699.
    14. Wong, Woon K., 2008. "Backtesting trading risk of commercial banks using expected shortfall," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1404-1415, July.
    15. Gil Cohen & Joseph Yagil, 2010. "Sectorial differences in corporate financial behavior: an international survey," The European Journal of Finance, Taylor & Francis Journals, vol. 16(3), pages 245-262.
    16. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    17. Massimiliano Amarante, 2016. "A representation of risk measures," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 39(1), pages 95-103, April.
    18. Danielsson, Jon & Zhou, Chen, 2015. "Why risk is so hard to measure," LSE Research Online Documents on Economics 62002, London School of Economics and Political Science, LSE Library.
    19. Chen, Cathy W.S. & Hsu, Hsiao-Yun & Watanabe, Toshiaki, 2023. "Tail risk forecasting of realized volatility CAViaR models," Finance Research Letters, Elsevier, vol. 51(C).
    20. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.

    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:wly:mgtdec:v:30:y:2009:i:6:p:393-403. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.