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Journal articles on the topic 'Risk selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhang, Yao, and Fei Zuo. "Selection of risk response actions considering risk dependency." Kybernetes 45, no. 10 (2016): 1652–67. http://dx.doi.org/10.1108/k-05-2016-0096.

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Purpose The purpose of this paper is to propose a method to address the problem of selecting risk response actions (RRAs) considering the risk dependency that is seldom considered in the existing studies. Design/methodology/approach First, a method based on the Measuring Attractiveness by a Categorical-Based Evaluation Technique (MACBETH) is proposed to measure the dependencies between the risks, and then a preference coefficient denoting the relative importance of the risk dependency is introduced. Besides, an exponential utility function is used to describe the project manager’s (PM) risk-av

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2

Moselhi, Osama, and Bikash Deb. "Project Selection Considering Risk." Construction Management and Economics 11, no. 1 (1993): 45–52. http://dx.doi.org/10.1080/01446199300000063.

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3

I. Naji, Hafeth, and Rouwaida Hussein Ali. "Risk Response Selection in Construction Projects." Civil Engineering Journal 3, no. 12 (2018): 1208. http://dx.doi.org/10.28991/cej-030950.

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Risk and its management is important for the success of the project, the risk management, which encompassed of planning, identification, analysis, and response has an important phase, which is risk response and it should not be undermined, as its success going to the projects the capability to overcome the uncertainty and thus an effective tool in project risk management, risk response used the collective information in the analysis stage and in order to take decision how to improve the possibility to complete the project within time, cost and performance. This stage work on preparing the resp

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4

Hvide, Hans K., and Eirik G. Kristiansen. "Risk taking in selection contests." Games and Economic Behavior 42, no. 1 (2003): 172–79. http://dx.doi.org/10.1016/s0899-8256(02)00538-9.

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5

Wong, K. C., S. C. P. Yam, and H. Zheng. "Utility-Deviation-Risk Portfolio Selection." SIAM Journal on Control and Optimization 55, no. 3 (2017): 1819–61. http://dx.doi.org/10.1137/140986256.

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6

Wynia, Matthew K., Deborah Zucker, Stacey Supran, and Harry P. Selker. "Patient protection and risk selection." Journal of General Internal Medicine 17, no. 1 (2002): 40–47. http://dx.doi.org/10.1046/j.1525-1497.2002.10349.x.

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7

Peker, Iskender, Selcuk Korucuk, and Birdogan Baki. "Firm Selection Based on Logistics Risk Factors." International Journal of Operations Research and Information Systems 10, no. 3 (2019): 31–43. http://dx.doi.org/10.4018/ijoris.2019070103.

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Logistics firms are exposed several domestic and global risks such as variability in demand, shipment damages, earthquakes, and terrorist attacks. The purpose of this study is to provide an approach for selecting a logistics firm based on logistics risk factors according to the manufacturing firms' perspectives. An analytical network process method is utilized to determine risk factors' importance levels and VIKOR method is used to select the logistics firm. The study results show that the most important logistics risk factors are customer and supplier, and the least risky logistic firm is B.

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8

Ortobelli Lozza, Sergio, Filomena Petronio, and Sebastiano Vitali. "Price and market risk reduction for bond portfolio selection in BRICS markets." Investment Management and Financial Innovations 15, no. 1 (2018): 120–31. http://dx.doi.org/10.21511/imfi.15(1).2018.11.

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This paper focuses on classical portfolio strategies applied to five countries, which are Brazil, Russia, India, China and South Africa. These five countries form the so-called BRICS group. In particular, the authors investigate their corporate and sovereign bond market and evaluate whether these markets can represent a profitable investment for non-satiable and risk-averse investors. Two-step optimization is proposed to control price risk and market risk. For price risk management, classical immunization strategies and are obtained funds of bond are obtained that share the same risk measure.

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9

Doherty, Neil A., and Harris Schlesinger. "Severity Risk and the Adverse Selection of Frequency Risk." Journal of Risk and Insurance 62, no. 4 (1995): 649. http://dx.doi.org/10.2307/253589.

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10

Zhu, Shushang, Duan Li, and Xiaoling Sun. "Portfolio selection with marginal risk control." Journal of Computational Finance 14, no. 1 (2010): 3–28. http://dx.doi.org/10.21314/jcf.2010.213.

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11

Amendola, Alessandra, Marialuisa Restaino, and Luca Sensini. "Variable selection in default risk models." Journal of Risk Model Validation 5, no. 1 (2011): 3–19. http://dx.doi.org/10.21314/jrmv.2011.066.

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12

Erb, Claude B., Campbell R. Harvey, and Tadas E. Viskanta. "Country Risk and Global Equity Selection." Journal of Portfolio Management 21, no. 2 (1995): 74–83. http://dx.doi.org/10.3905/jpm.1995.409504.

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13

Jametti, Mario, and Thomas von Ungern-Sternberg. "Risk Selection in Natural-Disaster Insurance." Journal of Institutional and Theoretical Economics 166, no. 2 (2010): 344. http://dx.doi.org/10.1628/093245610791343021.

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14

Bertoli, Paola, and Veronica Grembi. "Malpractice risk and medical treatment selection." Journal of Public Economics 174 (June 2019): 22–35. http://dx.doi.org/10.1016/j.jpubeco.2019.03.010.

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15

JIN, H., J. YAN, and X. ZHOU. "Continuous-time mean–risk portfolio selection." Annales de l'Institut Henri Poincare (B) Probability and Statistics 41, no. 3 (2005): 559–80. http://dx.doi.org/10.1016/j.anihpb.2004.09.009.

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16

Jansen, Dennis W., Kees G. Koedijk, and Casper G. de Vries. "Portfolio selection with limited downside risk." Journal of Empirical Finance 7, no. 3-4 (2000): 247–69. http://dx.doi.org/10.1016/s0927-5398(00)00016-5.

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17

Lucas, André, Ronald van Dijk, and Teun Kloek. "Stock selection, style rotation, and risk." Journal of Empirical Finance 9, no. 1 (2002): 1–34. http://dx.doi.org/10.1016/s0927-5398(01)00043-3.

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18

Steel, Robert. "Risk Limits in Fair Subject Selection." American Journal of Bioethics 20, no. 2 (2020): 30–32. http://dx.doi.org/10.1080/15265161.2019.1701733.

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19

Devaney, Michael. "Regulator selection and endogenous systematic risk." Energy Economics 13, no. 2 (1991): 86–92. http://dx.doi.org/10.1016/0140-9883(91)90040-7.

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20

Marle, Franck, and Thierry Gidel. "Assisting project risk management method selection." International Journal of Project Organisation and Management 6, no. 3 (2014): 254. http://dx.doi.org/10.1504/ijpom.2014.065255.

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21

Nematollahi, Nader, and Mohammad Jafari Jozani. "On risk unbiased estimation after selection." Brazilian Journal of Probability and Statistics 30, no. 1 (2016): 91–106. http://dx.doi.org/10.1214/14-bjps259.

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22

Osorio, J. C., D. F. Manotas, and J. L. García. "Multicriteria 3PL Selection with Risk Considerations." Research in Computing Science 109, no. 1 (2016): 51–57. http://dx.doi.org/10.13053/rcs-109-1-5.

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23

Caulfleld, J. P., A. P. G. Schönau, and D. G. M. Donald. "Incorporating Risk intoEucalyptusSpecies—Site Selection Decisions." South African Forestry Journal 160, no. 1 (1992): 25–31. http://dx.doi.org/10.1080/00382167.1992.9630407.

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24

Sarma, Mandira, Susan Thomas, and Ajay Shah. "Selection of Value-at-Risk models." Journal of Forecasting 22, no. 4 (2003): 337–58. http://dx.doi.org/10.1002/for.868.

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25

Kocher, Martin G., David Schindler, Stefan T. Trautmann, and Yilong Xu. "Risk, time pressure, and selection effects." Experimental Economics 22, no. 1 (2018): 216–46. http://dx.doi.org/10.1007/s10683-018-9576-1.

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26

Batavia, Andrew I., and Gerben DeJong. "Disability, chronic illness, and risk selection." Archives of Physical Medicine and Rehabilitation 82, no. 4 (2001): 546–52. http://dx.doi.org/10.1053/apmr.2001.20829.

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27

Huang, Xiaoxia, and Hao Di. "Uncertain portfolio selection with background risk." Applied Mathematics and Computation 276 (March 2016): 284–96. http://dx.doi.org/10.1016/j.amc.2015.12.018.

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28

Nightingale, Stephen D. "Risk preference and laboratory test selection." Journal of General Internal Medicine 2, no. 1 (1987): 25–28. http://dx.doi.org/10.1007/bf02596246.

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29

Huang, Xiaoxia. "Risk curve and fuzzy portfolio selection." Computers & Mathematics with Applications 55, no. 6 (2008): 1102–12. http://dx.doi.org/10.1016/j.camwa.2007.06.019.

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30

Adam, Alexandre, Mohamed Houkari, and Jean-Paul Laurent. "Spectral risk measures and portfolio selection." Journal of Banking & Finance 32, no. 9 (2008): 1870–82. http://dx.doi.org/10.1016/j.jbankfin.2007.12.032.

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31

Février, Philippe, and Laurent Linnemer. "Equilibrium selection: Payoff or risk dominance?" Journal of Economic Behavior & Organization 60, no. 2 (2006): 164–81. http://dx.doi.org/10.1016/j.jebo.2004.05.005.

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32

Rahmadani, M., and Suparno. "Risk analysis for sustainable supplier selection." Journal of Physics: Conference Series 1726 (January 2021): 012005. http://dx.doi.org/10.1088/1742-6596/1726/1/012005.

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33

Cagnin, Fernanda, Maria Celia Oliveira, Alexandre Tadeu Simon, André Luis Helleno, and Matheus Phelipe Vendramini. "Proposal of a method for selecting suppliers considering risk management." International Journal of Quality & Reliability Management 33, no. 4 (2016): 488–98. http://dx.doi.org/10.1108/ijqrm-11-2014-0172.

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Purpose – Due to the warming at the automotive market in the last years and consequently the growth of vehicle production has been moved and placed emphasis on the segment. In recent years, some have known, for example, as the earthquake that struck Japan in 2011 was able to disrupt the suppliers of the country. Due to these events, supply chain risk management has become essential to the supply chain operations success. The purpose of this paper is to evaluate the supplier’s systematic selection at the automotive industry compared with the identified models in the literature. Design/methodolo

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34

Zuo, Fei, and Kailing Zhang. "Selection of risk response actions with consideration of secondary risks." International Journal of Project Management 36, no. 2 (2018): 241–54. http://dx.doi.org/10.1016/j.ijproman.2017.11.002.

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35

Chassagnon, Arnold, and Bertrand Villeneuve. "Optimal risk-sharing under adverse selection and imperfect risk perception." Canadian Journal of Economics/Revue canadienne d'conomique 38, no. 3 (2005): 955–78. http://dx.doi.org/10.1111/j.0008-4085.2005.00311.x.

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36

van de Ven, Wynand P. M. M., Konstantin Beck, Carine Van de Voorde, Jürgen Wasem, and Irit Zmora. "Risk adjustment and risk selection in Europe: 6 years later." Health Policy 83, no. 2-3 (2007): 162–79. http://dx.doi.org/10.1016/j.healthpol.2006.12.004.

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37

Zhai, Jia, and Manying Bai. "Mean-risk model for uncertain portfolio selection with background risk." Journal of Computational and Applied Mathematics 330 (March 2018): 59–69. http://dx.doi.org/10.1016/j.cam.2017.07.038.

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38

Jong, Piet De, and Shauna Ferris. "Adverse Selection Spirals." ASTIN Bulletin 36, no. 02 (2006): 589–628. http://dx.doi.org/10.2143/ast.36.2.2017935.

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This article discusses risk classification and develops and discusses a framework for estimating the effects of restrictions on risk classification. It is shown that expected losses due to adverse selection depend only on means, variances and covariances of insurance factors and rates of uptake of insurance. Percentage loadings required to avoid losses are displayed. Correlated information, such as family history, is also incorporated and it is seen how such information limits losses and decreases required loadings. Although the evidence suggests that adverse selection is not, at present, a se

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39

Jong, Piet De, and Shauna Ferris. "Adverse Selection Spirals." ASTIN Bulletin 36, no. 2 (2006): 589–628. http://dx.doi.org/10.1017/s0515036100014689.

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This article discusses risk classification and develops and discusses a framework for estimating the effects of restrictions on risk classification. It is shown that expected losses due to adverse selection depend only on means, variances and covariances of insurance factors and rates of uptake of insurance. Percentage loadings required to avoid losses are displayed. Correlated information, such as family history, is also incorporated and it is seen how such information limits losses and decreases required loadings. Although the evidence suggests that adverse selection is not, at present, a se

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40

Hill, Steven C., Craig Thornton, Christopher Trenholm, and Judith Wooldridge. "Risk Selection among SSI Enrollees in TennCare." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 39, no. 2 (2002): 152–67. http://dx.doi.org/10.5034/inquiryjrnl_39.2.152.

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The issue of risk selection is especially important for states that enroll blind and disabled beneficiaries of Supplemental Security Income (SSI) in Medicaid managed care. SSI beneficiaries have persistent needs for care, have a wide variety of chronic conditions, and often need atypical and complex services. Risk selection occurs when the health care needs of beneficiaries enrolled in a specific plan differ systematically from the needs of the overall beneficiary population and payments do not reflect those needs. We assess the extent of risk selection among managed care plans for SSI benefic

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41

Meza, David De, and David Webb. "Risk, Adverse Selection and Capital Market Failure." Economic Journal 100, no. 399 (1990): 206. http://dx.doi.org/10.2307/2233604.

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42

&NA;. "Stroke-risk classification scheme for antithrombotic selection." Inpharma Weekly &NA;, no. 1293 (2001): 4. http://dx.doi.org/10.2165/00128413-200112930-00008.

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43

van Asseldonk, M. A. P. M., and A. G. J. Velthuis. "Risk-based audit selection of dairy farms." Journal of Dairy Science 97, no. 2 (2014): 592–97. http://dx.doi.org/10.3168/jds.2013-6604.

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44

Phalippou, Ludovic. "Private Equity: Performance, Risk, and Fund Selection." CFA Institute Conference Proceedings Quarterly 27, no. 3 (2010): 47–51. http://dx.doi.org/10.2469/cp.v27.n3.1.

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45

Maleeva, E. A., O. A. Bel'sner, and O. L. Kritskii. "Securities portfolio selection using the risk margin." Finance and Credit 24, no. 12 (2018): 2708–20. http://dx.doi.org/10.24891/fc.24.12.2708.

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46

Zhou, Wenchao. "Risk-based selection of forest regeneration methods." Forest Ecology and Management 115, no. 1 (1999): 85–92. http://dx.doi.org/10.1016/s0378-1127(98)00438-1.

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47

Feng, Ming Bin, and Ken Seng Tan. "Coherent Distortion Risk Measures in Portfolio Selection." Systems Engineering Procedia 4 (2012): 25–34. http://dx.doi.org/10.1016/j.sepro.2011.11.045.

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48

Bielinski, Daniel W. "THE ERJ EQUITY RISK PREMIUM SELECTION METHOD." Business Valuation Review 6, no. 3 (1987): 124–27. http://dx.doi.org/10.5791/0882-2875-6.3.124.

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49

Howell, Michael J., and Hari P. Krishnan. "Style Selection and U.S. Investors’ Risk Appetite." Journal of Investing 23, no. 3 (2014): 86–97. http://dx.doi.org/10.3905/joi.2014.23.3.086.

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50

Agarwal, Prachal, Aroshi Singhal, and Archit Garg. "SDLC Model Selection Tool and Risk Incorporation." International Journal of Computer Applications 172, no. 10 (2017): 6–10. http://dx.doi.org/10.5120/ijca2017915143.

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