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Journal articles on the topic 'The Theory of Risk'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Kremer, E., R. E. Beard, T. Pentikainen, and E. Pesonen. "Risk Theory." Journal of Risk and Insurance 54, no. 2 (1987): 399. http://dx.doi.org/10.2307/252872.

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2

Carroll, Patrick, R. E. Beard, T. Pentikainen, and E. Pesonen. "Risk Theory." Journal of the Royal Statistical Society. Series A (General) 148, no. 3 (1985): 285. http://dx.doi.org/10.2307/2981980.

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3

Koornstra, Matthijs J. "Risk-adaptation theory." Transportation Research Part F: Traffic Psychology and Behaviour 12, no. 1 (2009): 77–90. http://dx.doi.org/10.1016/j.trf.2008.08.002.

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4

Porlares, Charl Vince, and Emily Tan. "Bioecological Theory and Risk Management." International Journal for Innovation Education and Research 9, no. 3 (2021): 406–15. http://dx.doi.org/10.31686/ijier.vol9.iss3.2995.

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With the vulnerability, unpredictability, and ambiguity of the situation, schools all over the world have faced a variety of restrictions and unprecedented risks that caused some to cease operations and classes permanently or for an extended period of time. The concept of risk has become closely associated with every school process and structure so as to aid them in adapting to the current situation. This paper explores the concept of risk management and risks planning through the lens of school management and the Plan-Do-Check-Act (PDCA) Cycle. Furthermore, the researchers link the permeation

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5

Wang, Shaun S., and Virginia R. Young. "Ordering risks: Expected utility theory versus Yaari's dual theory of risk." Insurance: Mathematics and Economics 22, no. 2 (1998): 145–61. http://dx.doi.org/10.1016/s0167-6687(97)00036-x.

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6

He, Ying, and Rui-Hua Huang. "Risk attributes theory: Decision making under risk." European Journal of Operational Research 186, no. 1 (2008): 243–60. http://dx.doi.org/10.1016/j.ejor.2007.01.012.

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7

Baniela, Santiago Iglesias, and Juan Vinagre Ríos. "The Risk Homeostasis Theory." Journal of Navigation 63, no. 4 (2010): 607–26. http://dx.doi.org/10.1017/s0373463310000196.

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Statistics and information from the maritime industry show that the continuous advances in the safety of navigation do not reduce the occurrence of shipping casualties. This controversial fact leads the authors to analyse the applicability of the risk homeostasis theory to maritime transportation. With the aim of investigating this matter 2,584 ship incidents, which took place during the years 2005 and 2006, have been recorded and examined. The same variables which the Paris MOU usually employs to identify substandard ships (flag, classification society, age, type and size) have been used in t

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8

Hatfield, Adam J., and Keith W. Hipel. "Risk and Systems Theory." Risk Analysis 22, no. 6 (2002): 1043–57. http://dx.doi.org/10.1111/1539-6924.00272.

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9

Borch, Karl. "Risk theory and serendipity." Insurance: Mathematics and Economics 5, no. 1 (1986): 103–12. http://dx.doi.org/10.1016/0167-6687(86)90016-8.

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10

SONG, Yunqiang, Ruiheng XU, and Cai XING. "Risk-sensitivity theory: Need motivates risky decision-making." Advances in Psychological Science 25, no. 3 (2017): 486. http://dx.doi.org/10.3724/sp.j.1042.2017.00486.

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11

Ruan, Xin, Zhiyi Yin, and Dan M. Frangopol. "Risk Matrix Integrating Risk Attitudes Based on Utility Theory." Risk Analysis 35, no. 8 (2015): 1437–47. http://dx.doi.org/10.1111/risa.12400.

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12

MADAN, DILIP B. "CONIC PORTFOLIO THEORY." International Journal of Theoretical and Applied Finance 19, no. 03 (2016): 1650019. http://dx.doi.org/10.1142/s0219024916500199.

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Portfolios are designed to maximize a conservative market value or bid price for the portfolio. Theoretically this bid price is modeled as reflecting a convex cone of acceptable risks supporting an arbitrage free equilibrium of a two price economy. When risk acceptability is completely defined by the risk distribution function and bid prices are additive for comonotone risks, then these prices may be evaluated by a distorted expectation. The concavity of the distortion calibrates market risk attitudes. Procedures are outlined for observing the economic magnitudes for diversification benefits r

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13

Acerbi, Carlo, and Giacomo Scandolo§. "Liquidity risk theory and coherent measures of risk." Quantitative Finance 8, no. 7 (2008): 681–92. http://dx.doi.org/10.1080/14697680802373975.

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14

Febbrajo, Alberto. "For a socio-legal theory of risk." SOCIOLOGIA DEL DIRITTO, no. 2 (December 2009): 69–82. http://dx.doi.org/10.3280/sd2009-002005.

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- This article aims to offer an overview of some contributions to a socio-legal theory of risk. Starting from the presupposition that risk is a concept that plays a central role in sociological as well as in legal theory, it underlines the thesis that, from the point of view of the general system theory, the application of three different strategies of risk-management can be recognised in the legal system: a substantial strategy, which comprises shielding a core of legal contents from the risk of sudden and drastic changes; a social strategy, whereby risks are externalised by creating virtual

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15

Arrow, Kenneth J. "The theory of risk-bearing: Small and great risks." Journal of Risk and Uncertainty 12, no. 2-3 (1996): 103–11. http://dx.doi.org/10.1007/bf00055788.

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16

Demers, Fanny, and Michel Demers. "Multivariate Risk Aversion and Uninsurable Risks: Theory and Applications." Geneva Papers on Risk and Insurance Theory 16, no. 1 (1991): 7–43. http://dx.doi.org/10.1007/bf00942855.

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17

Daykin, C. D., T. Pentikainen, and M. Pesonen. "Practical Risk Theory for Actuaries." Biometrics 50, no. 3 (1994): 897. http://dx.doi.org/10.2307/2532828.

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18

Draper, Elaine, Ulrich Beck, Mark Ritter, and Mary Douglas. "Risk, Society, and Social Theory." Contemporary Sociology 22, no. 5 (1993): 641. http://dx.doi.org/10.2307/2074588.

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19

Lubsen, J. "Risk assessment: Theory and example." Gynecological Endocrinology 10, sup2 (1996): 89–90. http://dx.doi.org/10.3109/09513599609045636.

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20

Kafandaris, Stelios, C. D. Daykin, T. Pentikainen, and M. Pesonen. "Practical Risk Theory for Actuaries." Journal of the Operational Research Society 46, no. 4 (1995): 545. http://dx.doi.org/10.2307/2584605.

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21

Antal, Peter. "E. Kremer: Applied Risk Theory." ASTIN Bulletin 30, no. 1 (2000): 253. http://dx.doi.org/10.1017/s0515036100008771.

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22

Coutts, Stewart M., C. D. Daykin, T. Pentikainen, and M. Pesonen. "Practical Risk Theory for Actuaries." Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, no. 3 (1995): 633. http://dx.doi.org/10.2307/2983454.

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23

Hipp, Christina, C. D. Daykin, T. Pentikainen, and M. Pesonen. "Practical Risk Theory for Actuaries." Journal of the American Statistical Association 90, no. 429 (1995): 392. http://dx.doi.org/10.2307/2291176.

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24

Marceau, Étienne, and Jacques Rioux. "On robustness in risk theory." Insurance: Mathematics and Economics 29, no. 2 (2001): 167–85. http://dx.doi.org/10.1016/s0167-6687(01)00081-6.

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25

Kafandaris, Stelios. "Practical Risk Theory for Actuaries." Journal of the Operational Research Society 46, no. 4 (1995): 545–46. http://dx.doi.org/10.1057/jors.1995.76.

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26

Kasprowicz, Tomasz, and Andrzej Bednorz. "Threshold Theory – modelling risk attitude." e-Finanse 13, no. 4 (2017): 97–109. http://dx.doi.org/10.1515/fiqf-2016-0039.

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AbstractIn this paper we offer an alternative framework for examining why risk matters in the decisions of economic agents, and how the agent’s risk attitude affects his decisions. This “Threshold Theory” framework is based on a real options approach and the observation that in many situations an agent faces one or more thresholds in the payoff function. These thresholds influence the agent’s risk attitude. The theory’s predictions help to explain many anomalies that the standard expected utility model cannot. Threshold Theory can also model behavior in contexts such as individual investor dec

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27

Babic, Boris. "A Theory of Epistemic Risk." Philosophy of Science 86, no. 3 (2019): 522–50. http://dx.doi.org/10.1086/703552.

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28

Boholm, Åsa, and Hervé Corvellec. "A relational theory of risk." Journal of Risk Research 14, no. 2 (2011): 175–90. http://dx.doi.org/10.1080/13669877.2010.515313.

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29

Brown, Aaron. "The theory of risk management." Wilmott 2004, no. 2 (2004): 16–25. http://dx.doi.org/10.1002/wilm.42820040207.

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30

Vajda, S., C. D. Daykin, T. Pentikainen, and M. Pesonen. "Practical Risk Theory for Actuaries." Statistician 44, no. 2 (1995): 282. http://dx.doi.org/10.2307/2348453.

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31

Bühlmann, Hans. "Collective Risk Theory for Assets." North American Actuarial Journal 1, no. 2 (1997): 104. http://dx.doi.org/10.1080/10920277.1997.10595620.

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32

Cox, Jr., Louis Anthony (Tony). "Game Theory and Risk Analysis." Risk Analysis 29, no. 8 (2009): 1062–68. http://dx.doi.org/10.1111/j.1539-6924.2009.01247.x.

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33

Wilde, G. J. S. "Risk homeostasis theory: an overview." Injury Prevention 4, no. 2 (1998): 89–91. http://dx.doi.org/10.1136/ip.4.2.89.

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34

Gustafsson, Janne. "Theory of Generalized Risk Attitudes." Decision Analysis 12, no. 4 (2015): 205–27. http://dx.doi.org/10.1287/deca.2015.0322.

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35

Stone, Eric R. "Driving Home Risk Homeostasis Theory." Contemporary Psychology: A Journal of Reviews 42, no. 3 (1997): 223–24. http://dx.doi.org/10.1037/000510.

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36

Englehardt, James D., and Jay R. Lund. "Information Theory in Risk Analysis." Journal of Environmental Engineering 118, no. 6 (1992): 890–904. http://dx.doi.org/10.1061/(asce)0733-9372(1992)118:6(890).

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37

Heinle, Mirko S., and Kevin C. Smith. "A theory of risk disclosure." Review of Accounting Studies 22, no. 4 (2017): 1459–91. http://dx.doi.org/10.1007/s11142-017-9414-2.

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38

Borch, Karl. "Risk Theory and Insurance Premiums." Blätter der DGVFM 17, no. 2 (1985): 85–92. http://dx.doi.org/10.1007/bf02808531.

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39

Somasundaram, Jeeva, and Enrico Diecidue. "Regret theory and risk attitudes." Journal of Risk and Uncertainty 55, no. 2-3 (2017): 147–75. http://dx.doi.org/10.1007/s11166-017-9268-9.

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40

Sinn, Hans-Werner. "Psychophysical laws in risk theory." Journal of Economic Psychology 6, no. 2 (1985): 185–206. http://dx.doi.org/10.1016/0167-4870(85)90021-2.

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41

Erel, Isil, Stewart C. Myers, and James A. Read. "A theory of risk capital." Journal of Financial Economics 118, no. 3 (2015): 620–35. http://dx.doi.org/10.1016/j.jfineco.2014.10.006.

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42

Heilmann, Wolf-Rüdiger. "Tolerance intervals in risk theory." Insurance: Mathematics and Economics 4, no. 3 (1985): 173–77. http://dx.doi.org/10.1016/0167-6687(85)90013-7.

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43

Delbaen, F., and J. Haezendonck. "Inversed martingales in risk theory." Insurance: Mathematics and Economics 4, no. 3 (1985): 201–6. http://dx.doi.org/10.1016/0167-6687(85)90016-2.

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44

Erel, Isil, Stewart C. Myers, and James A. Read. "Risk Capital: Theory and Applications." Journal of Applied Corporate Finance 33, no. 1 (2021): 8–21. http://dx.doi.org/10.1111/jacf.12441.

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45

Bieta, V., and P. Smelyanets. "Game Theory and Financial Markets." Voprosy Ekonomiki, no. 10 (October 20, 2007): 114–24. http://dx.doi.org/10.32609/0042-8736-2007-10-114-124.

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When banks engage in financial market transactions they get exposed to two different types of risk: event risk and behavioural risk. When it comes to analyzing risk situations, two different types can be identified: stochastic risk management and strategic risk management. Event risk can best be analyzed by using the stochastic approach. In contrast, behavioural risk can best be analyzed by using the strategic approach. The mathematical instrument to analyze strategic interactions of the players involved is game theory. However, now behavioural risk is being analyzed using the stochastic appro

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46

Gavrysh, Oleg, and Valeriia Melnykova. "Project risk management of the construction industry enterprises based on fuzzy set theory." Problems and Perspectives in Management 17, no. 4 (2019): 203–13. http://dx.doi.org/10.21511/ppm.17(4).2019.17.

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The construction industry is a crucially important element of the Ukrainian economy, since its development and performance affect other industries. The economic recession consequences and the unforeseen recent events, caused by different types of risks, have adversely affected the construction industry development and necessitated the search for modern methods of risk management. The study is based on a sample of five projects from five construction industry enterprises and covered the period of 2010–2018. A set of project risks, investigated by the group of experts, was analyzed based on fuzz

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47

Wang, Jin Feng, Rong Zhu, and Yan Jiang. "Interruptible Load Risk Analysis Based on Portfolio Theory." Advanced Materials Research 732-733 (August 2013): 1427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1427.

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Due to the uncertain price and stochastic load, power supply companies will face the trade-off between profits and risks when exercising Interruptible Load Management (ILM). Customers of different type are looked as sub-markets with different risk and benefit. A model is established for Interruptible Load (IL) in the framework of portfolio theory, with the object of maximizing the expected profits and risks of conditional value at risk (CVaR). Genetic Algorithm (GA), is adopted to solve the model. Finally, a numerical example is served for demonstrating the market property of high profits acco

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48

Kusev, Petko, Paul van Schaik, Peter Ayton, John Dent, and Nick Chater. "Exaggerated risk: Prospect theory and probability weighting in risky choice." Journal of Experimental Psychology: Learning, Memory, and Cognition 35, no. 6 (2009): 1487–505. http://dx.doi.org/10.1037/a0017039.

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49

ANTONCIC, BOSTJAN. "RISK TAKING IN INTRAPRENEURSHIP: TRANSLATING THE INDIVIDUAL LEVEL RISK AVERSION INTO THE ORGANIZATIONAL RISK TAKING." Journal of Enterprising Culture 11, no. 01 (2003): 1–23. http://dx.doi.org/10.1142/s0218495803000020.

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Risk taking is important for entrepreneurship in existing organizations (intrapreneurship). This study contributes to intrapreneurship theory by explaining a paradoxical nature of translation of individual level risk aversion into organizational level risk taking behavior. A model for examination of this risk taking paradox in intrapreneurship is developed on the basis of intrapreneurship "theory," theory of planned behavior, prospect theory, agency theory and organizational culture perspective. A set of propositions is developed linking risk-related cognitions, behaviors and their antecedents

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50

Špaček, Miroslav. "Business Process Risk Modelling in Theory and Practice." Quality Innovation Prosperity 25, no. 1 (2021): 55–72. http://dx.doi.org/10.12776/qip.v25i1.1551.

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Purpose: The purpose of the paper is to introduce SW based decision-making tool that helps managers cope with risks and uncertainties of selected industrial processes. The solution is substantiated by the theoretical background. Methodology/Approach: The research is based on combination of contextual interviews with process management experts and Business Process Modelling Notion (BPMN). The former is aimed at the identification of industrial processes with highest risk exposure the latter is conducive to the design of processes to be subjected to stochastic simulation. Findings: The findings

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