Academic literature on the topic 'Risk tolerance'

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Journal articles on the topic "Risk tolerance"

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Elston, Harry J. "Risk tolerance." Journal of Chemical Health and Safety 23, no. 6 (November 2016): 1. http://dx.doi.org/10.1016/j.jchas.2016.09.002.

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Heitmeyer, W. "Tolerance as Risk." Monatshefte XCV, no. 1 (March 1, 2003): 15–18. http://dx.doi.org/10.3368/m.xcv.1.15.

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Gallo, Stephen A., and Karen B. Schmaling. "Peer review: Risk and risk tolerance." PLOS ONE 17, no. 8 (August 26, 2022): e0273813. http://dx.doi.org/10.1371/journal.pone.0273813.

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Peer review, commonly used in grant funding decisions, relies on scientists’ ability to evaluate research proposals’ quality. Such judgments are sometimes beyond reviewers’ discriminatory power and could lead to a reliance on subjective biases, including preferences for lower risk, incremental projects. However, peer reviewers’ risk tolerance has not been well studied. We conducted a cross-sectional experiment of peer reviewers’ evaluations of mock primary reviewers’ comments in which the level and sources of risks and weaknesses were manipulated. Here we show that proposal risks more strongly predicted reviewers’ scores than proposal strengths based on mock proposal evaluations. Risk tolerance was not predictive of scores but reviewer scoring leniency was predictive of overall and criteria scores. The evaluation of risks dominates reviewers’ evaluation of research proposals and is a source of inter-reviewer variability. These results suggest that reviewer scoring variability may be attributed to the interpretation of proposal risks, and could benefit from intervention to improve the reliability of reviews. Additionally, the valuation of risk drives proposal evaluations and may reduce the chances that risky, but highly impactful science, is supported.
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Hvide, Hans K., and Georgios A. Panos. "Risk tolerance and entrepreneurship." Journal of Financial Economics 111, no. 1 (January 2014): 200–223. http://dx.doi.org/10.1016/j.jfineco.2013.06.001.

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S. Weber, Christoph. "Determinants of Risk Tolerance." International Journal of Economics, Finance and Management Sciences 2, no. 2 (2014): 143. http://dx.doi.org/10.11648/j.ijefm.20140202.15.

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Galizzi, Monica, and Tommaso Tempesti. "Workers’ Risk Tolerance and Occupational Injuries." Risk Analysis 35, no. 10 (March 24, 2015): 1858–75. http://dx.doi.org/10.1111/risa.12364.

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Idzikowska, Katarzyna, Tadeusz Tyszka, Marcin Palenik, and Piotr Zielonka. "The effect of delay on risk tolerance and probability weights." Decyzje, no. 26 (December 15, 2016): 5–26. http://dx.doi.org/10.7206/dec.1733-0092.76.

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Ramudzuli, Pfano Michael, and Paul-Francois Muzindutsi. "Determinants of Financial and Non-Financial Risk Tolerance among Students at Selected South African Universities." Foundations of Management 10, no. 1 (December 1, 2018): 293–302. http://dx.doi.org/10.2478/fman-2018-0023.

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Abstract To enhance the portfolio allocation process, individuals need to understand their financial ability and psychological willingness to tolerate risks. To do this, their risk tolerance level must be quantified. This study used a survey questionnaire to collect data from 470 students at selected South African universities, and a binary logistic regression to test the effect of demographic factors on financial risk tolerance versus non-financial risk tolerance. Our findings suggest that the level of risk tolerance cannot be generalized across different risk domains. We also found that demographic factors affect the two domains of risk tolerance differently. Specifically, age did not have a significant influence on financial risk tolerance, while it significantly increased non-financial risk tolerance. Similarly, gender did not have any significant influence on non-financial risk tolerance, while it positively affect-ed financial risk tolerance. Furthermore, students in the fields of the humanities, engineering and IT showed a strong appetite for non-financial risks, but students in the commerce faculty preferred financial risks.
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Baruah, Mitali, and Abhishek Kirit kumar Parikh. "Impact of Risk Tolerance and Demographic Factors on Financial Investment Decision." GIS Business 13, no. 5 (October 12, 2018): 31–40. http://dx.doi.org/10.26643/gis.v13i5.3270.

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Risk tolerance is popularly used in the personal financial planning industry to understand an investor’s attitude towards risk. In the twenty-first century, it is very important for the various investment firms, fund managers, financial planners to understand financial investment decisions of an investor for developing a strategy for the sale of their investment products in market. However, financial decisions of an individual not only depend on financial risk-tolerance level, but also upon different demographic factors. Thus, this study is undertaken to develop a model that helps in understanding impact of risk tolerance and demographic factors jointly on investment decision, especially, a decision related to level of investment. Also, investor may be having higher risk tolerance for the calculative investment but may be having lover risk tolerance in speculative investment. So, based on extensive literature support, this research has tried to propose a model for understanding the impact of investment risk tolerance, capital risk tolerance, speculative risk tolerance, and six important demographic variables jointly on investment decision. Thus, this study would be helpful to investment firms in understanding impact of risk tolerances and demographic variables jointly on level of investment of investors, which can be used for designing a strategy or investment product to offer to the investors with different levels of financial risk tolerance and different demographic profiles.
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Nosita, Firda. "Women's Risk Tolerance in Indonesia." Kajian Ekonomi dan Keuangan 3, no. 2 (January 24, 2020): 87–102. http://dx.doi.org/10.31685/kek.v3i2.450.

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The Financial Services Authority (OJK) survey on 2016 shows that the financial literacy index in Indonesia is 21.8% approximately. There are a lot of illegal investment in the Indonesian society in recent years is proof that the Indonesian people have not been well-literated and have not fully understood the benefits and risks of investment. Efforts to improve financial literacy are aimed at certain groups of people such as women and housewives. Risk factors are important in financial decisions. Previous research has concluded that women often avoid risk and are more intolerant of risk than men. This study aims to determine whether risk tolerance in women is different from men. Data collection techniques were carried out using questionnaires distributed online to 850 samples of Indonesian people representing three regions of Indonesia, namely the western, central and eastern regions of Indonesia. The results showed that there were no significant differences between women and men in terms of risk tolerance, these results indicate that both women and men have identical viewpoint of risk. The government could conduct education and increase public knowledge without differentiating financial products for women and men.
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Dissertations / Theses on the topic "Risk tolerance"

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Mulhern, Brian G. "Risky business: risk tolerance in U.S. Army Special Forces." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42694.

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Approved for public release; distribution is unlimited
This research looks at the issue of risk tolerance, and analyzes its role in U.S. Army Special Forces (SF). More specifically, it assesses the degree to which senior members of an organization allow junior members to make autonomous decisions, and argues that the unconventional warfare (UW) mission and nature of SF call for a higher degree of risk tolerance than is seen in conventional forces. A longitudinal case study of the conflict in Afghanistan shows that in 2001 SF had a long leash to allow for autonomy and flexibility, which was necessary to succeed in a UW environment. However, by 2006, the leash was shortened and more control measures were implemented. While a short leash may be appropriate for a conventional battlefield, it adversely impacts SF effectiveness in a UW environment. The three main reasons that induce risk aversion in SF leaders are exogenous political factors, organizational considerations including chain of command, and organizational culture, which is reinforced by the current Army officer evaluation system. This analysis suggests that the deleterious impact of these factors needs to be addressed in SF.
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Yao, Rui. "Patterns of financial risk tolerance 1983-2001 /." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1060624755.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xvi, 239 p.; also includes graphics (some col). Includes abstract and vita. Advisor: Sherman D. Hanna, College of Human Ecology. Includes bibliographical references (p. 230-239).
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Yao, Rui. "Patterns of financial risk tolerance: 1983 - 2001." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1060624755.

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Colliander, Samuelsson David, and Henrik Ivarsson. "Privatpersoners finansiella risktolerans vid aktieinvestering : En studie om vilka aspekter som påverkar." Thesis, Högskolan i Skövde, Institutionen för handel och företagande, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13957.

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The economic development in Sweden in recent years has led to increased financial savings in Swedish households. Financial savings have mostly increased on bank accounts with low interest rates, since private individuals generally have a more cautious position on stocks and stock trading. The reason for this passive position is believed to be due to the fact that decisions that benefit most economically often challenge the feeling of being in control. At the same time, cautious position that a particular individual possess is affected by the risk-tolerance. As a consequence, the risk tolerance of private individuals affects the investment decision and hence the development of the stock market. Savings and investment are two important factors that affect a nation's economic growth, which makes it important to study underlying factors to what affects an individual when making a financial decision. When talking about risk tolerance in everyday life, previous research has revealed that there are four different aspects that affect this complex concept, namely the economic aspect, physical aspect, social aspect and ethical aspect. As investment decisions are affected by financial risk tolerance and the four aspects in turn, affect risk tolerance, the issue becomes how these aspects affect a private investor's financial risk tolerance when investing in stocks. The purpose of this study has been to explain the four aspects of a person’s risk tolerance when investing in stocks. The study has been conducted using a quantitative method and deductive approach. The selection group that the study turned to is Swedish stock investors and the data collection has been done by a survey that was answered by 232 people. The underlying factors for the four aspects tested in the study are income, gender, age, education, marital status and ethical character. The study shows that all four aspects together have a combined impact on private individuals' financial risk tolerance. The study has also shown that all the four aspects, each one separately, are linked to financial risk tolerance, by the underlying factors, income level, gender, marital status and ethical character.
De senaste årens ekonomiska utveckling i Sverige har lett till ett ökat finansiellt sparande i de svenska hushållen. Detta sparande har mestadels ökat på bankkonton med låga räntor då privatpersoner i allmänhet har ett mer försiktigt ställningstagande till aktie och börshandel. Anledningen till detta passiva ställningstagande tros bero på att beslut som gynnar mest ekonomiskt ofta utmanar känslan av att ha kontroll. Samtidigt påverkas ställningstagandet av den risktoleransnivå som en viss individ besitter. Följden av detta blir att privatpersoners risktolerans påverkar investeringsbeslutet och därmed även utvecklingen av aktiemarknaden. Sparande och investering är två viktiga faktorer som påverkar en nations ekonomiska tillväxt vilket gör det viktigt att studera bakomliggande faktorer till vad som påverkar en privatperson när ett finansiellt beslut ska tas. När det pratas om risktolerans i vardagslivet har tidigare forskning delgett att det finns fyra olika aspekter som påverkar detta komplexa begrepp, nämligen den ekonomiska aspekten, fysiska aspekten, sociala aspekten och etiska aspekten. Då investeringsbeslut påverkas av den finansiella risktoleransen och risktoleransen i sin tur påverkas av de fyra aspekterna blir problemfrågan hur dessa aspekter påverkar en privatpersons finansiella risktolerans vid investering i aktier.  Syftet med denna studie har varit att förklara de fyra aspekterna för privatpersoners finansiella risktolerans vid aktieinvestering. Studien har genomförts med hjälp av en kvantitativ metod och deduktiv ansats. Den urvalsgrupp som studien vänt sig till är svenska aktieinvesterare och datainsamlingen har gjorts med hjälp av en enkätundersökning som besvarats av 232 personer.  De bakomliggande faktorerna för de fyra aspekterna som har testats i studien är inkomst, kön, ålder, utbildning, civilstånd och etisk karaktär. Studien visar att alla fyra aspekter tillsammans har sammantagen påverkan på privatpersoners finansiella risktolerans. Studien har även visat att alla de fyra aspekterna har en koppling till den finansiella risktoleransen, var och en för sig, genom de underliggande faktorerna inkomstnivå, kön, civilstånd och etisk karaktär.
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Vosilov, Rustam, and Ibrahim Abdisalam Ali. "Financial Risk Tolerance: Differences Between Women and Men." Thesis, Umeå University, Umeå School of Business, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-21225.

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The statistics has shown that men and women have different investing strategies, where men tend to choose riskier investments and women lean towards less risky investments. The financial theory states that individuals are risk averse in general, and some prior studies have shown that women are more so than men. Moreover, financial knowledge and experience have been pointed out to be one of the factors affecting one’s financial risk tolerance. This paper researches these issues by addressing the following to questions: Are there any gender differences in Financial Risk Tolerance? Does knowledge and experience have impact on Financial Risk Tolerance? A literature search has been done and relevant theory has been gathered and review, which served as a base and a framework for conducting this study. A quantitative methodological study has been carried out by handing out questionnaires, based on a 13-item Financial Risk Tolerance scale developed by Grabble & Lytton (1999). The target population was the Umeå University students. The size of the sample was 139. The findings of this paper confirm prior studies which state that women, in general, are less risk tolerant then men – female students scored lower on the Financial Risk Tolerance Score than male students. Furthermore, this study also shows that one’s Financial Risk Tolerance is affected by experience and knowledge in the field of finance – students that are studying economics had higher Financial Risk Tolerance score than students that were studying other subjects.

 

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Mabalane, Moira Darby. "Cultural and demographic differences in financial risk tolerance." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/52990.

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The relationship between an individual s financial risk tolerance (FRT) level and demographic factors has been widely researched because of the importance of determining an individual s risk profile. The process by which individuals assess risk to make financial decisions is an important part of the investment process and is an obligatory input for financial advisors in providing financial advice for the client. The assessment of financial risk tolerance is often subjective in nature, and with it comes limitations to quantify it in alignment with objective risk, such as asset allocation and portfolio constructions. Given the importance of financial risk tolerance, both from a legislative as well as a fiduciary perspective, it is imperative that a better understanding of these relationships is obtained to assist financial planners, financial advisers and clients. The aim of the study was to determine the association between an individual s financial risk tolerance and selected demographics. Furthermore, the study aimed to determine whether there were differences in the levels of financial risk tolerance between South African respondents and those from Australia, the United States of America and the United Kingdom. The study was a cross-cultural secondary data analysis of previously collected survey data. The survey data comprised of 6 828 respondents from all four countries who accessed the questionnaire. The secondary data was collected from a survey which used a financial risk tolerance assessment measure, the FinaMetrica personal risk profiling system, which is a commercially provided computer-based risk tolerance measurement tool. Demographics included age, gender, marital status, level of education, income levels and net worth. The risk tolerance components of the questionnaire included questions about the respondent s attitude, values and financial experience. Statistical techniques used for analysis included correlation analysis, t-tests, oneway analysis of variance (ANOVA) and logistic regression. The study revealed cultural differences in the levels of financial risk tolerance between respondents from South Africa, Australia, the United States of America and the United Kingdom, with South Africa having the highest mean financial risk tolerance score. The study revealed that FRT levels are positively related to education, income and combined income for all countries as well as for the total sample when these relationships were considered on a univariate case. These findings were in line with other literature measuring these relationships. For all countries except South Africa, financial risk tolerance scores were found to have a negative relationship with age, which was in line with literature findings. However, within a multivariate model context, age was a consistent predictor and negatively related to financial risk tolerance levels in all countries and for the total sample. In the multivariate model, the total sample consisting of the data of all four countries revealed that higher financial risk tolerance levels were associated with being male, with a higher level of education attained, earning higher income, holding a higher accumulated net worth, being younger and being a South African.
Dissertation (MCom)--University of Pretoria, 2015.
Financial Management
MCom
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Sivarajan, Swaminathan. "Risk tolerance, return expectations and other factors impacting investment decisions." Thesis, University of Manchester, 2019. https://www.research.manchester.ac.uk/portal/en/theses/risk-tolerance-return-expectations-and-other-factors-impacting-investment-decisions(90fd4076-2d8f-4dc6-8ff3-a1ecd8c0d188).html.

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Do investment portfolios meet the needs and preferences of investors? Can the portfolio selection process be improved? Traditionally, investor preferences have been identified using risk tolerance questionnaires. These questionnaires have recently attracted a fair deal of criticism. However, there has been little focus as to whether the questionnaires are useful in predicting investors' risk-taking behaviour. In this thesis, an explanatory sequential mixed methods approach was employed to find answers to the primary research question: what factors determine risk-taking behaviour in investment decisions? This thesis looked at the risk-taking behaviour of investors in Canada (N=192) and the risk-taking advice provided by financial advisers in Canada (N=155), collectively risk-taking decisions. The results suggested that return expectations and demographic variables were important predictors of risk-taking decisions, whereas risk tolerance questionnaires were not. Further investigation suggested that investment literacy impacted risk-taking decisions while investment experience impacted both return expectations and risk-taking decisions. In a novel contribution by this thesis, additional perspective was provided by qualitative analysis using semi-structured interviews with investors and advisers. From the results of the qualitative analysis, the author suggests that discovery and self-discovery, a consistent approach and a focus on process versus outcome are key attributes valued by both investors and advisers. The thesis concluded with implications and recommendations for stakeholders, including a greater focus on return expectations, more training in discovery for advisers, simulating investment experience for prospective investors and including investment literacy in school curricula.
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Cheng, Zhujun. "Risk Tolerance and Stock Holding Behavior After the Great Recession." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu155510722643481.

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Heenkenda, Shirantha. "Determination of Financial Risk Tolerance among Different Household Sectors in Sri Lanka." 名古屋大学大学院国際開発研究科, 2014. http://hdl.handle.net/2237/19834.

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Obrand, Nicholas. "Determining Factors of Risk Tolerance: Evidence from Fantasy Football Snake Drafts." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1795.

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This paper utilizes fantasy football snake drafts to analyze risk tolerance of individuals who are trying to maximize their present and future utility, but are faced with unknown factors and only have limited resources. Fantasy football provides a unique perspective on risk tolerance, different than the commonly researched fields of auctions, financial portfolios, and lotteries. I examine mock draft data from Fantasy Football Calculator as well as rankings data from Fantasy Pros to gauge the amount of risk associated with each draft pick. I find that the more perceived uncertainty that is connected to an individual selection, the more likely the selection will exhibit risk averse characteristics.
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Books on the topic "Risk tolerance"

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. Understanding Financial Risk Tolerance. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8.

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Risk tolerance in financial decision making. Basingstoke: Palgrave Macmillan, 2010.

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Kimball, Miles S. Imputing risk tolerance from survey responses. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Froot, Kenneth. The risk tolerance of international investors. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Lucarelli, Caterina, and Gianni Brighetti, eds. Risk Tolerance in Financial Decision Making. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230303829.

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Dave, Dhaval. Risk tolerance and alcohol demand among adults and older adults. Cambridge, MA: National Bureau of Economic Research, 2007.

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Dave, Dhaval. Risk tolerance and alcohol demand among adults and older adults. Cambridge, Mass: National Bureau of Economic Research, 2007.

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1958-, Squires Peter, ed. Young people and community safety: Inclusion, risk, tolerance, and disorder. Aldershot: Ashgate, 2000.

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Zero (in) tolerance: A low-risk alternative to current zero rates. [S.l.]: B. Leonard, 2010.

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Potiron, Katia. From Fault Classification to Fault Tolerance for Multi-Agent Systems. London: Springer London, 2013.

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Book chapters on the topic "Risk tolerance"

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Grable, John E. "Financial Risk Tolerance." In Handbook of Consumer Finance Research, 19–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28887-1_2.

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Ricciardi, Victor, and Douglas Rice. "Risk Perception and Risk Tolerance." In Investor Behavior, 325–45. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118813454.ch18.

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Al Hashmi, Waddah S. Ghanem. "Risk perception, risk management and risk tolerance." In Environment, Health and Safety Governance and Leadership, 29–36. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315713427-6.

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Koller, Michael. "Risk Appetite and Tolerance." In EAA Series, 65–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20721-1_4.

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Thomsett, Michael C. "Knowing Your Risk Tolerance." In Investing in Energy, 157–70. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137358479_10.

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. "Challenges and Opportunities for the Future Investor: A Practitioner’s Guide." In Understanding Financial Risk Tolerance, 153–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8_5.

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. "Financial Risk Tolerance: Where Does It All Start From?" In Understanding Financial Risk Tolerance, 1–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8_1.

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. "The Digital Challenge: How Are New Technologies Shaping the Financial Industry?" In Understanding Financial Risk Tolerance, 119–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8_4.

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. "Challenges and Opportunities in the Regulation of Financial Instruments Post-MiFID2—Sustainable Finance." In Understanding Financial Risk Tolerance, 79–117. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8_3.

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Cruciani, Caterina, Gloria Gardenal, and Giuseppe Amitrano. "Risk Tolerance Tools: From Academia to Regulation and Back." In Understanding Financial Risk Tolerance, 39–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13131-8_2.

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Conference papers on the topic "Risk tolerance"

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Fennell, D. "Understanding and Influencing Risk Tolerance." In SPE International Conference on Health, Safety, and Environment. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/168306-ms.

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MacKay, James A. "Utilizing Risk Tolerance To Optimize Working Interest." In SPE Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/30043-ms.

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"Risk tolerance, investment horizons and debt decisions." In 23rd International Congress on Modelling and Simulation (MODSIM2019). Modelling and Simulation Society of Australia and New Zealand, 2019. http://dx.doi.org/10.36334/modsim.2019.e5.phung.

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Yanfei, Qiu. "Preliminary Probabilistic Risk Assessment of Accident-Tolerant Fuels on PWR Performance During Accident Conditions." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60812.

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The motivation for exploring the potential development of accident tolerant fuels in PWR to replace existing Zr alloy clad monolithic oxide fuel is outlined. The assessment includes a brief review of core degradation processes under transient conditions and introduces the enhancement of the accident tolerance of PWR by the development of fuels/cladding that can tolerate loss of active cooling in the core and loss of coolant water for a considerably longer time period while maintaining or improving the fuel performance during accident conditions. probabilistic risk assessment are presented that illustrate the impact of these new candidate fuel/cladding materials on the reduction of core damage frequence.
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Leach, Patrick Edward. "Risk Tolerance and Risk Neutrality (You Can Live With More Risk Than You Think)." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/133297-ms.

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Grant, Eric, Shreya Ambasta, and Mark Jean. "Systematic Assessment of Risk Control Effectiveness." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87280.

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Abstract The inherent risks associated with pipeline operations are significant. Companies dedicate countless resources to identifying, assessing, and controlling risks across their operations. Risk management activities are completed by personnel at all levels, from field staff to senior management. This ensures that risks are identified and managed at all levels within the company to align with company risk tolerance. Where risks are identified that are higher than company tolerance levels, additional controls are typically developed. For most risks, a series of controls is developed to protect in different ways or in different scenarios. In many cases, a control may protect against multiple different risks. When risk assessments are completed, there is the possibility that the effectiveness of controls that have been developed to manage the risk are incorrectly considered [1]. Individuals or teams completing the review of controls are assessing their effectiveness higher or lower than they actually are [2]. This is typically the result of a controls assessment that does not fully consider the functionality, availability, and reliability of the control. The result is the potential for a risk being accepted that may be beyond company risk tolerance or the allocation of additional resources on risks that are already well controlled. To account for a control’s partial effectiveness, they are often layered, with multiple controls working together to mitigate a risk [3]. In these instances, if one control is unable to manage the risk, another would be available to provide additional mitigation to reduce the possibility or consequence of a major risk event. With the combination of thousands of hazards that can lead to different major risk events with hundreds of unique controls, it can be difficult to quantify the degree of risk to which a company is exposed. This paper explores the approach to systematically assessing risk controls, enabling improved understanding and ability to communicate the overall organizational risk and prioritization of improvements for the most critical controls.
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Bojorquez, Oliver, Nathan Dolan, and Jun Chen. "Aircraft Rerouting under Risk Tolerance during Space Launches." In AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1589.

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Silvia Sutejo, Bertha, Yohanes Kokoh Natan Pranata, and Putu Anom Mahadwartha. "Demography factors, financial risk tolerance, and retail investors." In 15th International Symposium on Management (INSYMA 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/insyma-18.2018.20.

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Chamis, Christos, and Levon Minnetyan. "Probabilistic Damage Tolerance for Specified Low-Risk Design." In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-1469.

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Ferreira, Susara Johanna. "IS FINANCIAL RISK TOLERANCE INFLUENCED BY PERSONALITY TRAITS?" In 12th Economics & Finance Conference, Dubrovnik. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/efc.2019.012.005.

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Reports on the topic "Risk tolerance"

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Froot, Kenneth, and Paul G. O'Connell. The Risk Tolerance of International Investors. Cambridge, MA: National Bureau of Economic Research, December 2003. http://dx.doi.org/10.3386/w10157.

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Kimball, Miles, Claudia Sahm, and Matthew Shapiro. Imputing Risk Tolerance from Survey Responses. Cambridge, MA: National Bureau of Economic Research, August 2007. http://dx.doi.org/10.3386/w13337.

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Dave, Dhaval, and Henry Saffer. Risk Tolerance and Alcohol Demand Among Adults and Older Adults. Cambridge, MA: National Bureau of Economic Research, October 2007. http://dx.doi.org/10.3386/w13482.

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Ameriks, John, Gábor Kézdi, Minjoon Lee, and Matthew Shapiro. Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25269.

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Fan, Ying, A. Yeşim Orhun, and Dana Turjeman. Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27211.

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Cho, Siwon. Influences of Fashion Leadership, Preference for Exploratory Behavior, and Need for Cognition on Consumers’ Use of Internal Information and Tolerance for Risk-Taking. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-924.

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Iyer, Ananth V., Steven R. Dunlop, Anmol Guram Singh, Mihir Bhatia, and Sazzadur Rahman. Developing a Business Ecosystem around Autonomous Vehicle Infrastructure in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317088.

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INDOT will soon be embarking on infrastructure planning to accommodate autonomous vehicles. This new technology affords the ability to impact economic value creation across the supply chain in Indiana, as well as foster economic development in Indiana to support these emerging technologies. This proposal will be a first cut towards exploring the development of a strategy to realize this potential. Our proposal will consist of two phases. Phase 1: A focus on industry choices and plans that can inform INDOT choices. Phase 2: A focus on INDOT’s internal decision making, risk tolerance, and choices regarding infrastructure projects.
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Parisi, Carlo, Zhegang Ma, Diego Mandelli, Nolan Anderson, and Hongbin Zhang. Risk-Informed Safety Analysis for Accident Tolerant Fuels. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1644671.

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Yamano, Takashi, Manzoor H. Dar, Architesh Panda, Ishika Gupta, Maria Luz Malabayabas, and Eric Kelly. The impact of adopting risk-reducing, drought-tolerant rice in India. International Initiative for Impact Evaluation (3ie), March 2018. http://dx.doi.org/10.23846/ow4.ie72.

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Yamano, Takashi, Manzoor H. Dar, Architesh Panda, Ishika Gupta, Maria Luz Malabayabas, and Eric Kelly. The impact of adopting risk-reducing, drought-tolerant rice in India. International Initiative for Impact Evaluation, March 2018. http://dx.doi.org/10.23846/ow41343.

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