IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v104y2014icp61-72.html
   My bibliography  Save this article

There is no silver bullet: The value of diversification in planning invasive species surveillance

Author

Listed:
  • Yemshanov, Denys
  • Koch, Frank H.
  • Lu, Bo
  • Lyons, D. Barry
  • Prestemon, Jeffrey P.
  • Scarr, Taylor
  • Koehler, Klaus

Abstract

In this study we demonstrate how the notion of diversification can be used in broad-scale resource allocation for surveillance of invasive species. We consider the problem of short-term surveillance for an invasive species in a geographical environment. We find the optimal allocation of surveillance resources among multiple geographical subdivisions via application of a classical portfolio framework, which allocates investments among multiple financial asset types with uncertain returns in a portfolio that maximizes the performance and, by meeting the desired diversification targets, protects against errors in estimating the portfolio's performance.

Suggested Citation

  • Yemshanov, Denys & Koch, Frank H. & Lu, Bo & Lyons, D. Barry & Prestemon, Jeffrey P. & Scarr, Taylor & Koehler, Klaus, 2014. "There is no silver bullet: The value of diversification in planning invasive species surveillance," Ecological Economics, Elsevier, vol. 104(C), pages 61-72.
    • Handle: RePEc:eee:ecolec:v:104:y:2014:i:c:p:61-72
    DOI: 10.1016/j.ecolecon.2014.04.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800914001414
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolecon.2014.04.024?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. Zhenyu Wang, 2005. "A Shrinkage Approach to Model Uncertainty and Asset Allocation," Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 673-705.
    2. Joost Reyes Santos & Yacov Y. Haimes, 2004. "Applying the Partitioned Multiobjective Risk Method (PMRM) to Portfolio Selection," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 697-713, June.
    3. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
    4. repec:dau:papers:123456789/4688 is not listed on IDEAS
    5. Kovacs, Kent F. & Haight, Robert G. & McCullough, Deborah G. & Mercader, Rodrigo J. & Siegert, Nathan W. & Liebhold, Andrew M., 2010. "Cost of potential emerald ash borer damage in U.S. communities, 2009-2019," Ecological Economics, Elsevier, vol. 69(3), pages 569-578, January.
    6. Christopher Costello & Carol McAusland, 2003. "Protectionism, Trade, and Measures of Damage from Exotic Species Introductions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 964-975.
    7. K. McInnes & I. Macadam & G. Hubbert & J. O’Grady, 2009. "A modelling approach for estimating the frequency of sea level extremes and the impact of climate change in southeast Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 51(1), pages 115-137, October.
    8. Mehta, Shefali V. & Haight, Robert G. & Homans, Frances R. & Polasky, Stephen & Venette, Robert C., 2007. "Optimal detection and control strategies for invasive species management," Ecological Economics, Elsevier, vol. 61(2-3), pages 237-245, March.
    9. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
    10. Best, Michael J & Grauer, Robert R, 1991. "On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results," Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 315-342.
    11. Horie, Tetsuya & Homans, Frances R., 2007. "Optimal Detection Strategies for an Established Invasive Forest Pest," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9695, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Cook, David C. & Fraser, Rob W., 2008. "Trade and invasive species risk mitigation: Reconciling WTO compliance with maximising the gains from trade," Food Policy, Elsevier, vol. 33(2), pages 176-184, April.
    13. Lynda S. Livingston, 2013. "Intraportfolio Correlation: An Application For Investments Students," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 5(1), pages 91-105.
    14. Bodin, Örjan & Saura, Santiago, 2010. "Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments," Ecological Modelling, Elsevier, vol. 221(19), pages 2393-2405.
    15. Sims, Charles & Finnoff, David, 2013. "When is a “wait and see” approach to invasive species justified?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 235-255.
    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. Paulino Martinez-Fernandez & Fernando deLlano-Paz & Anxo Calvo-Silvosa & Isabel Soares, 2019. "Assessing Renewable Energy Sources for Electricity (RES-E) Potential Using a CAPM-Analogous Multi-Stage Model," Energies, MDPI, vol. 12(19), pages 1-20, September.
    2. Barnes, Belinda & Giannini, Fiona & Arthur, Anthony & Walker, James, 2019. "Optimal allocation of limited resources to biosecurity surveillance using a portfolio theory methodology," Ecological Economics, Elsevier, vol. 161(C), pages 153-162.
    3. Barnes, Belinda & Arthur, Anthony D. & Bloomfield, Nathaniel J., 2020. "A Stochastic Economic Framework for Partitioning Biosecurity Surveillance Resources," Ecological Economics, Elsevier, vol. 178(C).
    4. Alvarez, Sergio & Larkin, Sherry L. & Ropicki, Andrew, 2017. "Optimizing provision of ecosystem services using modern portfolio theory," Ecosystem Services, Elsevier, vol. 27(PA), pages 25-37.
    5. Yemshanov, Denys & Haight, Robert G. & Koch, Frank H. & Lu, Bo & Venette, Robert & Fournier, Ronald E. & Turgeon, Jean J., 2017. "Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach," Ecological Economics, Elsevier, vol. 133(C), pages 86-98.
    6. Vinent, Orencio Duran & Johnston, Robert J. & Kirwan, Matthew L. & Leroux, Anke D. & Martin, Vance L., 2019. "Coastal dynamics and adaptation to uncertain sea level rise: Optimal portfolios for salt marsh migration," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    7. Kompas, Tom & Chu, Long & Ha, Pham Van & Spring, Daniel, 2019. "Budgeting and portfolio allocation for biosecurity measures," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    8. Fraschini, Filippo & Hunt, Alistair & Zoboli, Roberto, 2022. "Decision tools for adaptation to climate change: Portfolio analysis of tea plantation investments in Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    9. Akter, Sonia & Kompas, Tom & Ward, Michael B., 2015. "Application of portfolio theory to asset-based biosecurity decision analysis," Ecological Economics, Elsevier, vol. 117(C), pages 73-85.

    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. DeMiguel, Victor & Martin-Utrera, Alberto & Nogales, Francisco J., 2013. "Size matters: Optimal calibration of shrinkage estimators for portfolio selection," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3018-3034.
    2. Meade, N. & Beasley, J.E. & Adcock, C.J., 2021. "Quantitative portfolio selection: Using density forecasting to find consistent portfolios," European Journal of Operational Research, Elsevier, vol. 288(3), pages 1053-1067.
    3. Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
    4. Candelon, B. & Hurlin, C. & Tokpavi, S., 2012. "Sampling error and double shrinkage estimation of minimum variance portfolios," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 511-527.
    5. Simaan, Majeed & Simaan, Yusif & Tang, Yi, 2018. "Estimation error in mean returns and the mean-variance efficient frontier," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 109-124.
    6. Mishra, Anil V., 2015. "Measures of equity home bias puzzle," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 293-312.
    7. Thomas J. Brennan & Andrew W. Lo, 2010. "Impossible Frontiers," Management Science, INFORMS, vol. 56(6), pages 905-923, June.
    8. Thomas Trier Bjerring & Omri Ross & Alex Weissensteiner, 2017. "Feature selection for portfolio optimization," Annals of Operations Research, Springer, vol. 256(1), pages 21-40, September.
    9. Kolm, Petter N. & Tütüncü, Reha & Fabozzi, Frank J., 2014. "60 Years of portfolio optimization: Practical challenges and current trends," European Journal of Operational Research, Elsevier, vol. 234(2), pages 356-371.
    10. Hongseon Kim & Soonbong Lee & Seung Bum Soh & Seongmoon Kim, 2022. "Improving portfolio investment performance with distance‐based portfolio‐combining algorithms," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(4), pages 941-959, December.
    11. Eom, Cheoljun & Park, Jong Won, 2018. "A new method for better portfolio investment: A case of the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 213-231.
    12. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    13. Vasyl Golosnoy, 2010. "No-transaction bounds and estimation risk," Quantitative Finance, Taylor & Francis Journals, vol. 10(5), pages 487-493.
    14. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2022. "Sparsity and stability for minimum-variance portfolios," Risk Management, Palgrave Macmillan, vol. 24(3), pages 214-235, September.
    15. Kourtis, Apostolos & Dotsis, George & Markellos, Raphael N., 2012. "Parameter uncertainty in portfolio selection: Shrinking the inverse covariance matrix," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2522-2531.
    16. Cheng Yan & Ji Yan, 2021. "Optimal and naive diversification in an emerging market: Evidence from China's A‐shares market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3740-3758, July.
    17. Johannes Bock, 2018. "An updated review of (sub-)optimal diversification models," Papers 1811.08255, arXiv.org.
    18. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2020. "Company classification using machine learning," Papers 2004.01496, arXiv.org, revised May 2020.
    19. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2015. "Improving international diversification benefits for US investors," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 64-76.
    20. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.

    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:eee:ecolec:v:104:y:2014:i:c:p:61-72. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    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.