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Rachel Juiching Huang

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2014. "Bivariate almost stochastic dominance," LIDAM Reprints ISBA 2014040, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Takashi Kamihigashi & John Stachurski, 2014. "An Axiomatic Approach to Measuring Degree of Stochastic Dominance," Discussion Paper Series DP2014-36, Research Institute for Economics & Business Administration, Kobe University.
    2. Michel Denuit & Rachel Huang & Larry Tzeng, 2015. "Almost expectation and excess dependence notions," Theory and Decision, Springer, vol. 79(3), pages 375-401, November.
    3. Tzu-Ying Chen & Yi-Hsin Elsa Hsu & Rachel J. Huang & Larry Y. Tzeng, 2021. "Making socioeconomic health inequality comparisons when health concentration curves intersect," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(4), pages 875-899, November.
    4. Tsung-Chih Lai & Jiun-Hua Su, 2023. "Counterfactual Copula and Its Application to the Effects of College Education on Intergenerational Mobility," Papers 2303.06658, arXiv.org.
    5. Diego C. Nocetti, 2016. "Robust Comparative Statics of Risk Changes," Management Science, INFORMS, vol. 62(5), pages 1381-1392, May.
    6. Liqun Liu & Jack Meyer, 2021. "Stochastic superiority," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 225-246, June.

  2. Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2013. "Almost Expectation and Excess Dependence Notions," LIDAM Discussion Papers ISBA 2013005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Li, Jingyuan & Liu, Dongri & Wang, Jianli, 2016. "Risk aversion with two risks: A theoretical extension," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 100-105.
    2. Denuit, Michel M. & Mesfioui, Mhamed, 2017. "Preserving the Rothschild–Stiglitz type increase in risk with background risk: A characterization," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 1-5.
    3. Georges Dionne & Jingyuan Li & Cédric Okou, 2024. "An alternative representation of the C-CAPM with higher-order risks," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(2), pages 194-233, September.
    4. Wong, Kit Pong, 2021. "Comparative risk aversion with two risks," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    5. He, Junnan & Tang, Qihe & Zhang, Huan, 2016. "Risk reducers in convex order," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 80-88.
    6. Yi-Chieh Huang & Kamhon Kan & Larry Y. Tzeng & Kili C. Wang, 2021. "Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles," Management Science, INFORMS, vol. 67(8), pages 4742-4755, August.
    7. Guo, Xu & Li, Jingyuan, 2016. "Confidence band for expectation dependence with applications," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 141-149.
    8. Xuehu Zhu & Xu Guo & Lu Lin & Lixing Zhu, 2016. "Testing for positive expectation dependence," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 135-153, February.

  3. O.C. Chuang & L. Eeckhoudt & R.J. Huang & L.Y. Tzeng, 2013. "Risky targets and effort," Post-Print hal-00845897, HAL.

    Cited by:

    1. Crainich, David & Menegatti, Mario, 2021. "Self-protection with random costs," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 63-67.
    2. Wong, Kit Pong, 2017. "A note on risky targets and effort," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 27-30.
    3. Dennis W. Jansen & Liqun Liu, 2022. "Portfolio choice in the model of expected utility with a safety-first component," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 187-207, June.
    4. Wang, Jianli & Wang, Hongxia & Yick, Ho Yin, 2019. "How do changes in risk and risk aversion affect self-protection with Selden/Kreps–Porteus preferences?," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 1-6.
    5. David Crainich & Louis Eeckhoudt & Mario Menegatti, 2016. "Changing risks and optimal effort," Post-Print hal-01533522, HAL.
    6. Mario Menegatti, 2023. "A note on changes in additive risky benefits and risky costs," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(3), pages 753-763, September.
    7. Huang, Rachel J., 2012. "Ambiguity aversion, higher-order risk attitude and optimal effort," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 338-345.
    8. Huang, Yi-Chieh & Tzeng, Larry Y. & Zhao, Lin, 2015. "Comparative ambiguity aversion and downside ambiguity aversion," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 257-269.
    9. Desu Liu & Mario Menegatti, 2019. "Optimal saving and health prevention," Journal of Economics, Springer, vol. 128(2), pages 177-191, October.
    10. Tao Yuqing & Mei Jie & Cheng Wen & Zou Sijie, 2019. "Precautionary Effort Investment under Cross Risk Aversion," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 344-358, August.
    11. P. Battiston & M. Menegatti, 2022. "Interaction in Prevention: A General Theory and an Application to COVID-19 Pandemic," Economics Department Working Papers 2022-EP02, Department of Economics, Parma University (Italy).

  4. Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2012. "Almost Marginal Conditional Stochastic Dominance," LIDAM Discussion Papers ISBA 2012033, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Bruni, Renato & Cesarone, Francesco & Scozzari, Andrea & Tardella, Fabio, 2017. "On exact and approximate stochastic dominance strategies for portfolio selection," European Journal of Operational Research, Elsevier, vol. 259(1), pages 322-329.
    2. Chen, Tzu-Ying & Tsai, An-Mei & Tzeng, Larry Y., 2022. "Revisiting almost marginal conditional stochastic dominance," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 260-269.
    3. David Cerezo S'anchez, 2022. "Zero-Knowledge Optimal Monetary Policy under Stochastic Dominance," Papers 2210.06139, arXiv.org.
    4. Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
    5. Wei-Han Liu & Jow-Ran Chang & Guo-Jun Yang, 2024. "An improved criterion for almost marginal conditional stochastic dominance," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1251-1290, April.
    6. Heuchenne, Cédric & Jacquemain, Alexandre, 2022. "Inference for monotone single-index conditional means: A Lorenz regression approach," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    7. Gleb Gersman & Haim Shalit, 2014. "Optimizing MCSD Portfolios," Working Papers 1410, Ben-Gurion University of the Negev, Department of Economics.

  5. L. Eeckhoudt & Rachel J. Huang & Larry Y. Tzeng, 2012. "Precautionary Effort: A New Look," Post-Print hal-00780297, HAL.

    Cited by:

    1. Peter, Richard, 2017. "Optimal self-protection in two periods: On the role of endogenous saving," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 19-36.
    2. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
    3. Mario Menegatti, 2012. "New results on optimal prevention of risk averse agents," Economics Bulletin, AccessEcon, vol. 32(3), pages 2166-2173.
    4. Annette Hofmann & Richard Peter, 2016. "Self-Insurance, Self-Protection, and Saving: On Consumption Smoothing and Risk Management," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 719-734, September.
    5. Keenan, Donald C. & Snow, Arthur, 2017. "Greater parametric downside risk aversion," Journal of Mathematical Economics, Elsevier, vol. 71(C), pages 119-128.
    6. Mario Menegatti, 2018. "Prudence and Different Kinds of Prevention," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(2), pages 273-285, April.
    7. Ilia Tsetlin & Robert L. Winkler & Rachel J. Huang & Larry Y. Tzeng, 2015. "Generalized Almost Stochastic Dominance," Operations Research, INFORMS, vol. 63(2), pages 363-377, April.
    8. Richard Peter, 2024. "The economics of self-protection," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 6-35, March.
    9. Crainich, David & Menegatti, Mario, 2021. "Self-protection with random costs," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 63-67.
    10. Mario Menegatti, 2014. "Optimal choice on prevention and cure: a new economic analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(4), pages 363-372, May.
    11. Lu Li & Richard Peter, 2021. "Should we do more when we know less? The effect of technology risk on optimal effort," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 695-725, September.
    12. Christoph Heinzel & Richard Peter, 2021. "Precautionary motives with multiple instruments [Motifs de précaution en cas de multiples instruments]," Working Papers hal-03484875, HAL.
    13. Bos, Björn & Drupp, Moritz & Meya, Jasper & Quaas, Martin, 2021. "The Commons Problem under Uncertainty and Precaution," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242471, Verein für Socialpolitik / German Economic Association.
    14. Wang, Hongxia & Wang, Jianli & Li, Jingyuan & Xia, Xinping, 2015. "Precautionary paying for stochastic improvements under background risks," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 180-185.
    15. Heinzel, Christoph & Peter, Richard, 2021. "Precautionary motives with multiple instruments," Working Papers 316521, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    16. Corinne Chaton & Clémence Alasseur & Emma Hubert, 2022. "Optimal contracts under adverse selection for staple goods such as energy: Effectiveness of in-kind insurance," Post-Print halshs-03983355, HAL.
    17. M. Menegatti & F. Rebessi, 2010. "On the substitution between saving and prevention," Economics Department Working Papers 2010-EP03, Department of Economics, Parma University (Italy).
    18. Thomas Dohmen & Elena Shvartsman, 2023. "Overexertion of Effort under Working Time Autonomy and Feedback Provision," ECONtribute Discussion Papers Series 222, University of Bonn and University of Cologne, Germany.
    19. Cl'emence Alasseur & Corinne Chaton & Emma Hubert, 2020. "Optimal contracts under adverse selection for staple goods: efficiency of in-kind insurance," Papers 2001.02099, arXiv.org, revised Dec 2020.
    20. Claudio A. Bonilla & Marcos Vergara, 2021. "Risk aversion, downside risk aversion, and the transition to entrepreneurship," Theory and Decision, Springer, vol. 91(1), pages 123-133, July.
    21. Wong, Kit Pong, 2017. "A note on risky targets and effort," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 27-30.
    22. Christophe Courbage & Henri Loubergé & Richard Peter, 2017. "Optimal Prevention for Multiple Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(3), pages 899-922, September.
    23. Chuang, O-Chia & Eeckhoudt, Louis & Huang, Rachel J. & Tzeng, Larry Y., 2013. "Risky targets and effort," Insurance: Mathematics and Economics, Elsevier, vol. 52(3), pages 465-468.
    24. Orland, Andreas & Rostam-Afschar, Davud, 2020. "Flexible work arrangements and precautionary behaviour: Theory and experimental evidence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 04-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    25. Wong, Kit Pong, 2016. "Precautionary self-insurance-cum-protection," Economics Letters, Elsevier, vol. 145(C), pages 152-156.
    26. Heinzel Christoph & Richard Peter, 2021. "Precautionary motives with multiple instruments," Working Papers SMART 21-09, INRAE UMR SMART.
    27. Richard Peter, 2021. "Who should exert more effort? Risk aversion, downside risk aversion and optimal prevention," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(4), pages 1259-1281, June.
    28. Rachel J. Huang & Larry Y. Tzeng & Lin Zhao, 2020. "Fractional Degree Stochastic Dominance," Management Science, INFORMS, vol. 66(10), pages 4630-4647, October.
    29. Liqun Liu & William S. Neilson, 2019. "Alternative Approaches to Comparative n th-Degree Risk Aversion," Management Science, INFORMS, vol. 65(8), pages 3824-3834, August.
    30. Hun Seog, S. & Hong, Jimin, 2022. "Market insurance and endogenous saving with multiple loss states," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    31. Xue, Minggao & Cheng, Wen, 2013. "Background risk, bivariate risk attitudes, and optimal prevention," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 390-395.
    32. Courbage, Christophe & Rey, Béatrice & Treich, Nicolas, 2013. "Prevention and precaution," IDEI Working Papers 805, Institut d'Économie Industrielle (IDEI), Toulouse.
    33. Wang, Jianli & Wang, Hongxia & Yick, Ho Yin, 2019. "How do changes in risk and risk aversion affect self-protection with Selden/Kreps–Porteus preferences?," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 1-6.
    34. Heinzel, Christoph & Peter, Richard, 2023. "Precaution with multiple instruments: The importance of substitution effects," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 392-412.
    35. David Crainich & Louis Eeckhoudt & Mario Menegatti, 2016. "Changing risks and optimal effort," Post-Print hal-01533522, HAL.
    36. Mario Menegatti, 2023. "A note on changes in additive risky benefits and risky costs," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(3), pages 753-763, September.
    37. Quaas, Martin F. & Quaas, Johannes & Rickels, Wilfried & Boucher, Olivier, 2017. "Are there reasons against open-ended research into solar radiation management? A model of intergenerational decision-making under uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 1-17.
    38. Constantin ANGHELACHE & Mario G.R. PAGLIACCI & Emilia STANCIU & Cristina SACALÃ, 2016. "Essential aspects regarding the optimal prevention," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(1), pages 38-42, January.
    39. Desu Liu & Mario Menegatti, 2019. "Optimal saving and health prevention," Journal of Economics, Springer, vol. 128(2), pages 177-191, October.
    40. Tao Yuqing & Mei Jie & Cheng Wen & Zou Sijie, 2019. "Precautionary Effort Investment under Cross Risk Aversion," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 344-358, August.
    41. Mario Menegatti, 2021. "Subsidizing risk prevention," Journal of Economics, Springer, vol. 134(2), pages 175-193, October.
    42. Wang, Hongxia & Wang, Jianli & Yin, Yick Ho, 2018. "Willingness to pay for stochastic improvements of future risk under different risk aversion," Economics Letters, Elsevier, vol. 168(C), pages 52-55.
    43. Liqun Liu & Andrew J. Rettenmaier & Thomas R. Saving, 2019. "Staying the Course or Rolling the Dice: Time Horizon’s Effect on the Propensity to Take Risk," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 42(1), pages 66-85.
    44. P. Battiston & M. Menegatti, 2022. "Interaction in Prevention: A General Theory and an Application to COVID-19 Pandemic," Economics Department Working Papers 2022-EP02, Department of Economics, Parma University (Italy).
    45. Kalwij, Adriaan, 2023. "Risk preferences, preventive behaviour, and the probability of a loss: Empirical evidence from the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 334(C).
    46. Claudio A. Bonilla & Marcos Vergara & Richard Watt, 2022. "Changes in risk and entrepreneurship," Risk Management, Palgrave Macmillan, vol. 24(4), pages 367-385, December.

  6. Huang, Rachel J. & Muermann, Alexander & Tzeng, Larry Y., 2008. "Hidden regret in insurance markets: Adverse and advantageous selection," CFS Working Paper Series 2008/38, Center for Financial Studies (CFS).

    Cited by:

    1. Yiming Li & Gang Li & Xiajun Amy Pan, 2023. "Optimal return shipping insurance policy with consumers' anticipated regret," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3209-3226, October.
    2. Jacqueline Volkman-Wise, 2015. "Representativeness and managing catastrophe risk," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 267-290, December.

Articles

  1. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

    Cited by:

    1. Su, Xuan-Qi, 2023. "Directors' and Officers' liability insurance and cross section of expected stock returns: A mispricing explanation," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).

  2. Huang, Rachel J. & Tzeng, Larry & Wang, Jr-Yan & Zhao, Lin, 2020. "Operational asymptotic stochastic dominance," European Journal of Operational Research, Elsevier, vol. 280(1), pages 312-322.

    Cited by:

    1. Levy, Moshe, 2022. "An inter-temporal CAPM based on First order Stochastic Dominance," European Journal of Operational Research, Elsevier, vol. 298(2), pages 734-739.
    2. Liesiö, Juuso & Xu, Peng & Kuosmanen, Timo, 2020. "Portfolio diversification based on stochastic dominance under incomplete probability information," European Journal of Operational Research, Elsevier, vol. 286(2), pages 755-768.

  3. Rachel J. Huang & Larry Y. Tzeng & Lin Zhao, 2020. "Fractional Degree Stochastic Dominance," Management Science, INFORMS, vol. 66(10), pages 4630-4647, October.

    Cited by:

    1. Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
    2. Mao, Tiantian & Wang, Ruodu, 2022. "Fractional stochastic dominance in rank-dependent utility and cumulative prospect theory," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    3. Bi, Hongwei & Zhu, Wei, 2022. "Nonmonotonic risk preferences over lottery comparison," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1458-1468.
    4. Li, Jingyuan & Wang, Jianli & Zhou, Lin, 2024. "Correlation aversion and bivariate stochastic dominance with respect to reference functions," Insurance: Mathematics and Economics, Elsevier, vol. 118(C), pages 157-174.
    5. Paan Jindapon & Liqun Liu & William S. Neilson, 2021. "Comparative risk apportionment," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 9(1), pages 91-112, April.
    6. Tommaso Lando & Lucio Bertoli-Barsotti, 2020. "Stochastic dominance relations for generalised parametric distributions obtained through composition," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 297-311, December.
    7. Wang, Hongxia & Zhou, Lin & Dai, Peng-Fei & Xiong, Xiong, 2022. "Moment conditions for fractional degree stochastic dominance," Finance Research Letters, Elsevier, vol. 49(C).

  4. Bi, Hongwei & Huang, Rachel J. & Tzeng, Larry Y. & Zhu, Wei, 2019. "Higher-order Omega: A performance index with a decision-theoretic foundation," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 43-57.

    Cited by:

    1. Huang, Jinbo & Li, Yong & Yao, Haixiang, 2022. "Partial moments and indexation investment strategies," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 39-59.
    2. Taylor, James W., 2022. "Forecasting Value at Risk and expected shortfall using a model with a dynamic omega ratio," Journal of Banking & Finance, Elsevier, vol. 140(C).
    3. Monica Billio & Bertrand Maillet & Loriana Pelizzon, 2021. "A meta-measure of performance related to both investors and investments characteristics," Post-Print hal-03543398, HAL.
    4. Bignozzi, Valeria & Merlo, Luca & Petrella, Lea, 2024. "Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 44-50.
    5. Hengzhen Lu & Yingying Zhang & Ling Xiao & Gurjeet Dhesi, 2022. "A State-of-the-Art Fund Performance Index: Higher-Order Omega and Its Consistency with Almost Stochastic Dominance," JRFM, MDPI, vol. 15(10), pages 1-20, September.

  5. Rachel J. Huang & Arthur Snow & Larry Y. Tzeng, 2017. "Advantageous Selection in Insurance Markets with Compound Risk," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(2), pages 171-192, September.

    Cited by:

    1. Nghiem, Son & Graves, Nicholas, 2019. "Selection bias and moral hazard in the Australian private health insurance market: Evidence from the Queensland skin cancer database," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 259-265.
    2. Jing Ai & Lin Zhao & Wei Zhu, 2016. "Contracting with Present-Biased Consumers in Insurance Markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 41(2), pages 107-148, September.
    3. Ersilia CATRINA, 2018. "Insurance, A Guaranteed Risk Or A Risk Assumed?," Junior Scientific Researcher, SC Research Publishing SRL, vol. 4(1), pages 121-133, May.
    4. CATRINA, Ersilia, 2018. "Insurance, A Guaranteed Risk Or A Risk Assumed?," MPRA Paper 87769, University Library of Munich, Germany, revised Apr 2018.

  6. Rachel J. Huang & Alexander Muermann & Larry Y. Tzeng, 2016. "Hidden Regret In Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 181-216, January.

    Cited by:

    1. Gemmo, Irina & Browne, Mark J. & Gründl, Helmut, 2017. "Transparency aversion and insurance market equilibria," ICIR Working Paper Series 25/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    2. Korn, Olaf & Rieger, Marc Oliver, 2016. "Hedging with regret," CFR Working Papers 16-06, University of Cologne, Centre for Financial Research (CFR).
    3. Rachel J. Huang & Arthur Snow & Larry Y. Tzeng, 2017. "Advantageous Selection in Insurance Markets with Compound Risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(2), pages 171-192, September.
    4. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
    5. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    6. Chen, Bingzheng & Feng, Frank Y. & Powers, Michael R. & Qiu, Joseph, 2019. "Risk-revealing contracts for government-sponsored microinsurance," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    7. Fujii, Yoichiro & Okura, Mahito & Osaki, Yusuke, 2021. "Is insurance normal or inferior? -A regret theoretical approach-," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Korn, Olaf & Rieger, Marc Oliver, 2019. "Hedging with regret," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 192-205.
    9. Christina Aperjis & Filippo Balestrieri, 2017. "Loss aversion leading to advantageous selection," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 203-227, December.

  7. Ilia Tsetlin & Robert L. Winkler & Rachel J. Huang & Larry Y. Tzeng, 2015. "Generalized Almost Stochastic Dominance," Operations Research, INFORMS, vol. 63(2), pages 363-377, April.

    Cited by:

    1. Gao, Jianwei & Zhao, Feng, 2016. "A new approach of stochastic dominance for ranking transformations on the discrete random variable," Economics Discussion Papers 2016-49, Kiel Institute for the World Economy (IfW Kiel).
    2. Buhong Zheng, 2018. "Almost Lorenz dominance," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 51(1), pages 51-63, June.
    3. Tommaso Lando & Lucio Bertoli-Barsotti, 2019. "Distorted stochastic dominance: a generalized family of stochastic orders," Papers 1909.04767, arXiv.org.
    4. Bruni, Renato & Cesarone, Francesco & Scozzari, Andrea & Tardella, Fabio, 2017. "On exact and approximate stochastic dominance strategies for portfolio selection," European Journal of Operational Research, Elsevier, vol. 259(1), pages 322-329.
    5. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    6. Chen, Tzu-Ying & Tsai, An-Mei & Tzeng, Larry Y., 2022. "Revisiting almost marginal conditional stochastic dominance," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 260-269.
    7. Tzu-Ying Chen & Yi-Hsin Elsa Hsu & Rachel J. Huang & Larry Y. Tzeng, 2021. "Making socioeconomic health inequality comparisons when health concentration curves intersect," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(4), pages 875-899, November.
    8. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    9. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2016. "Almost stochastic dominance for risk averters and risk seeker," Finance Research Letters, Elsevier, vol. 19(C), pages 15-21.
    10. Chin Hon Tan & Chunling Luo, 2017. "Clear Preferences Under Partial Distribution Information," Decision Analysis, INFORMS, vol. 14(1), pages 65-73, March.
    11. Zhao, Feng & Gao, Jianwei & Gu, Yundong, 2018. "Almost first-degree stochastic dominance for transformations and its application in insurance strategy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-15.
    12. Zhao, Kena & Ng, Tsan Sheng & Tan, Chin Hon & Pang, Chee Khiang, 2021. "An almost robust model for minimizing disruption exposures in supply systems," European Journal of Operational Research, Elsevier, vol. 295(2), pages 547-559.
    13. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    14. Yi-Chieh Huang & Kamhon Kan & Larry Y. Tzeng & Kili C. Wang, 2021. "Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles," Management Science, INFORMS, vol. 67(8), pages 4742-4755, August.
    15. Diego C. Nocetti, 2016. "Robust Comparative Statics of Risk Changes," Management Science, INFORMS, vol. 62(5), pages 1381-1392, May.
    16. Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
    17. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2024. "Tests for almost stochastic dominance," Papers 2403.15258, arXiv.org.
    18. Wei-Han Liu & Jow-Ran Chang & Guo-Jun Yang, 2024. "An improved criterion for almost marginal conditional stochastic dominance," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1251-1290, April.
    19. Light, Bar & Perlroth, Andres, 2021. "The Family of Alpha,[a,b] Stochastic Orders: Risk vs. Expected Value," Journal of Mathematical Economics, Elsevier, vol. 96(C).
    20. Qi Feng & J. George Shanthikumar, 2022. "Applications of Stochastic Orders and Stochastic Functions in Inventory and Pricing Problems," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1433-1453, April.
    21. Kallio, Markku & Dehghan Hardoroudi, Nasim, 2018. "Second-order stochastic dominance constrained portfolio optimization: Theory and computational tests," European Journal of Operational Research, Elsevier, vol. 264(2), pages 675-685.
    22. Lee, Yung-Tsung & Kung, Ko-Lun & Liu, I-Chien, 2018. "Profitability and risk profile of reverse mortgages: A cross-system and cross-plan comparison," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 255-266.
    23. Xu, Peng, 2024. "Testing out-of-sample portfolio performance using second-order stochastic dominance constrained optimization approach," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    24. Jow-Ran Chang & Wei-Han Liu & Mao-Wei Hung, 2019. "Revisiting generalized almost stochastic dominance," Annals of Operations Research, Springer, vol. 281(1), pages 175-192, October.
    25. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    26. Jia Liu & Zhiping Chen & Giorgio Consigli, 2021. "Interval-based stochastic dominance: theoretical framework and application to portfolio choices," Annals of Operations Research, Springer, vol. 307(1), pages 329-361, December.
    27. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Levy, Moshe, 2024. "Does constant asset allocation dominate buy-and-hold?," Finance Research Letters, Elsevier, vol. 62(PB).
    29. Liqun Liu & Jack Meyer, 2021. "Stochastic superiority," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 225-246, June.
    30. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2020. "Distorted stochastic dominance: A generalized family of stochastic orders," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 132-139.
    31. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    32. Gao, Jianwei & Zhao, Feng, 2017. "Sufficient conditions of stochastic dominance for general transformations and its application in option strategy," Economics Discussion Papers 2017-40, Kiel Institute for the World Economy (IfW Kiel).
    33. Alfred Müller & Marco Scarsini & Ilia Tsetlin & Robert L. Winkler, 2017. "Between First- and Second-Order Stochastic Dominance," Management Science, INFORMS, vol. 63(9), pages 2933-2947, September.
    34. Gao, Jianwei & Zhao, Feng, 2017. "A new approach of stochastic dominance for ranking transformations on the discrete random variable," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-23.
    35. Hermann Jahnke & Jan Thomas Martini & Tobias Wiens, 2019. "Price limits under incomplete preference information based on almost stochastic dominance," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 241-269, April.
    36. Chunling Luo & Chin Hon Tan, 2020. "Almost Stochastic Dominance for Most Risk-Averse Decision Makers," Decision Analysis, INFORMS, vol. 17(2), pages 169-184, June.
    37. Yunna Wu & Chuanbo Xu & Hu Xu, 2016. "Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China," Energies, MDPI, vol. 9(10), pages 1-26, October.
    38. Xiaojun Song & Zhenting Sun, 2023. "Almost Dominance: Inference and Application," Papers 2312.02288, arXiv.org.
    39. Zhao, Feng & Gao, Jianwei & Gu, Yundong, 2018. "Almost first-degree stochastic dominance for transformations and its application in insurance strategy," Economics Discussion Papers 2018-46, Kiel Institute for the World Economy (IfW Kiel).
    40. Liesiö, Juuso & Xu, Peng & Kuosmanen, Timo, 2020. "Portfolio diversification based on stochastic dominance under incomplete probability information," European Journal of Operational Research, Elsevier, vol. 286(2), pages 755-768.
    41. Liesiö, Juuso & Kallio, Markku & Argyris, Nikolaos, 2023. "Incomplete risk-preference information in portfolio decision analysis," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1084-1098.

  8. Michel Denuit & Rachel Huang & Larry Tzeng, 2015. "Almost expectation and excess dependence notions," Theory and Decision, Springer, vol. 79(3), pages 375-401, November.
    See citations under working paper version above.
  9. Yehning Chen & Rachel Huang & John Tsai & Larry Tzeng, 2015. "Soft Information and Small Business Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(1), pages 115-133, February.

    Cited by:

    1. Kevin N. Kim & Ani L. Katchova, 2022. "Agricultural bank acquisitions and postacquisition performance: An examination of the role of shared knowledge," Agribusiness, John Wiley & Sons, Ltd., vol. 38(4), pages 743-770, October.
    2. Jauling Tseng, 2021. "How do finance companies' advantages affect competitive strategies in short‐ and intermediate‐term loan markets? A theoretical analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4295-4302, July.
    3. Wang, Tong & Zhao, Sheng & Zhou, Mengqiu, 2022. "Does soft information in expert ratings curb information asymmetry? Evidence from crowdfunding and early transaction phases of Initial Coin offerings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    4. Valentina Dimitrova‐Grajzl & Peter Grajzl & Joseph Guse & Michou Kokodoko & Laurel Wheeler, 2024. "Beyond conventional models: Lending by Native Community Development Financial Institutions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 95(3), pages 675-701, September.
    5. Wang, Huiqi & Yuan, Wei & Yuan, George, 2022. "The mechanism for SMEs growth by applying stochastic dynamical approach," Finance Research Letters, Elsevier, vol. 48(C).
    6. Jing Gu & Junyao Wang & Yang Yang & Zeshui Xu, 2019. "Credit Line Models for Supply Chain Enterprises with Channel Background and Soft Information," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    7. Carmen Gallucci & Rosalia Santullli & Michele Modina & Vincenzo Formisano, 2023. "Financial ratios, corporate governance and bank-firm information: a Bayesian approach to predict SMEs’ default," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 873-892, September.
    8. Boubakri, Narjess & Cao, Zhongyu & El Ghoul, Sadok & Guedhami, Omrane & Li, Xinming, 2023. "National culture and bank liquidity creation," Journal of Financial Stability, Elsevier, vol. 64(C).
    9. James, Hui Liang & Wang, Hongxia & Xie, Yamin, 2018. "Busy directors and firm performance: Does firm location matter?," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 1-37.
    10. Ge Gao & Hongxin Wang & Pengbin Gao, 2021. "Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model," Risks, MDPI, vol. 9(11), pages 1-12, November.
    11. Durguner, Sena, 2017. "Do borrower-lender relationships still matter for small business loans?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 98-118.

  10. Rachel J Huang & Alexander Muermann & Larry Y Tzeng, 2014. "Regret and Regulation," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 39(1), pages 65-89, March.

    Cited by:

    1. Christian Gollier, 2020. "Aversion to risk of regret and preference for positively skewed risks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(4), pages 913-941, November.
    2. Jiakun Zheng, 2021. "Willingness to pay for reductions in health risks under anticipated regret," Post-Print hal-04227414, HAL.
    3. Gollier, Christian, 2016. "Explaining rank-dependent utility with regret and rejoicing," IDEI Working Papers 863, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Zheng, Jiakun, 2021. "Willingness to pay for reductions in health risks under anticipated regret," Journal of Health Economics, Elsevier, vol. 78(C).

  11. Michel Denuit & Rachel Huang & Larry Tzeng, 2014. "Bivariate almost stochastic dominance," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 57(2), pages 377-405, October.
    See citations under working paper version above.
  12. Rachel J. Huang & Larry Y. Tzeng & Kili C. Wang, 2014. "Heterogeneity of the Accident Externality from Driving," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 735-756, December.

    Cited by:

    1. Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.
    2. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    3. Yen-Chih Chen & Wen-Yen Hsu & Carol Troy, 2024. "Unpriced and unseen: private information and taxi insurance purchases in Taiwan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(4), pages 831-867, October.
    4. Sojung Carol Park & Sangeun Han, 2017. "Externalities From Driving Luxury Cars," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(3), pages 391-427, December.
    5. Piera Bello, 2021. "The environmental cost and the accident externality of driving: Evidence from the Swiss franc's appreciation," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1440-1458, July.

  13. Denuit, Michel M. & Huang, Rachel J. & Tzeng, Larry Y. & Wang, Christine W., 2014. "Almost marginal conditional stochastic dominance," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 57-66.
    See citations under working paper version above.
  14. Larry Y. Tzeng & Rachel J. Huang & Pai-Ta Shih, 2013. "Revisiting Almost Second-Degree Stochastic Dominance," Management Science, INFORMS, vol. 59(5), pages 1250-1254, May.

    Cited by:

    1. Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016. "On the (Ab)Use of Omega?," Working Papers hal-01697640, HAL.
    2. Simon Dietz & Anca N. Matei, 2013. "Spaces for agreement: a theory of Time-Stochastic Dominance," GRI Working Papers 137, Grantham Research Institute on Climate Change and the Environment.
    3. Gao, Jianwei & Zhao, Feng, 2016. "A new approach of stochastic dominance for ranking transformations on the discrete random variable," Economics Discussion Papers 2016-49, Kiel Institute for the World Economy (IfW Kiel).
    4. Dietz, Simon & Matei, Nicoleta Anca, 2016. "Spaces for agreement: a theory of time-stochastic dominance and an application to climate change," LSE Research Online Documents on Economics 64182, London School of Economics and Political Science, LSE Library.
    5. Buhong Zheng, 2018. "Almost Lorenz dominance," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 51(1), pages 51-63, June.
    6. Tommaso Lando & Lucio Bertoli-Barsotti, 2019. "Distorted stochastic dominance: a generalized family of stochastic orders," Papers 1909.04767, arXiv.org.
    7. Ilia Tsetlin & Robert L. Winkler & Rachel J. Huang & Larry Y. Tzeng, 2015. "Generalized Almost Stochastic Dominance," Operations Research, INFORMS, vol. 63(2), pages 363-377, April.
    8. Takashi Kamihigashi & John Stachurski, 2014. "An Axiomatic Approach to Measuring Degree of Stochastic Dominance," Discussion Paper Series DP2014-36, Research Institute for Economics & Business Administration, Kobe University.
    9. Bruni, Renato & Cesarone, Francesco & Scozzari, Andrea & Tardella, Fabio, 2017. "On exact and approximate stochastic dominance strategies for portfolio selection," European Journal of Operational Research, Elsevier, vol. 259(1), pages 322-329.
    10. Guo, Xu & Post, Thierry & Wong, Wing-Keung & Zhu, Lixing, 2014. "Moment conditions for Almost Stochastic Dominance," Economics Letters, Elsevier, vol. 124(2), pages 163-167.
    11. Nocetti, D. & Schlesinger, H. & Ebert, Sebastian, 2016. "Greater Mutual Aggravation," Other publications TiSEM e6df0669-d971-4d39-a1a4-e, Tilburg University, School of Economics and Management.
    12. Bi, Hongwei & Huang, Rachel J. & Tzeng, Larry Y. & Zhu, Wei, 2019. "Higher-order Omega: A performance index with a decision-theoretic foundation," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 43-57.
    13. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    14. Xu, Guo & Wing-Keung, Wong & Lixing, Zhu, 2013. "Almost Stochastic Dominance for Risk-Averse and Risk-Seeking Investors," MPRA Paper 51744, University Library of Munich, Germany.
    15. Chen, Tzu-Ying & Tsai, An-Mei & Tzeng, Larry Y., 2022. "Revisiting almost marginal conditional stochastic dominance," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 260-269.
    16. Michel Denuit & Rachel Huang & Larry Tzeng, 2015. "Almost expectation and excess dependence notions," Theory and Decision, Springer, vol. 79(3), pages 375-401, November.
    17. Tzu-Ying Chen & Yi-Hsin Elsa Hsu & Rachel J. Huang & Larry Y. Tzeng, 2021. "Making socioeconomic health inequality comparisons when health concentration curves intersect," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(4), pages 875-899, November.
    18. Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2012. "Almost Marginal Conditional Stochastic Dominance," LIDAM Discussion Papers ISBA 2012033, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    20. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2016. "Almost stochastic dominance for risk averters and risk seeker," Finance Research Letters, Elsevier, vol. 19(C), pages 15-21.
    21. Chin Hon Tan & Chunling Luo, 2017. "Clear Preferences Under Partial Distribution Information," Decision Analysis, INFORMS, vol. 14(1), pages 65-73, March.
    22. Zhao, Kena & Ng, Tsan Sheng & Tan, Chin Hon & Pang, Chee Khiang, 2021. "An almost robust model for minimizing disruption exposures in supply systems," European Journal of Operational Research, Elsevier, vol. 295(2), pages 547-559.
    23. Nicoleta Anca Matei & Claudio Zoli, 2012. "Restricted Finite Time Dominance," Working Papers 30/2012, University of Verona, Department of Economics.
    24. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    25. Yi-Chieh Huang & Kamhon Kan & Larry Y. Tzeng & Kili C. Wang, 2021. "Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles," Management Science, INFORMS, vol. 67(8), pages 4742-4755, August.
    26. Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
    27. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2024. "Tests for almost stochastic dominance," Papers 2403.15258, arXiv.org.
    28. Wei-Han Liu & Jow-Ran Chang & Guo-Jun Yang, 2024. "An improved criterion for almost marginal conditional stochastic dominance," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1251-1290, April.
    29. Guo, Xu & Zhu, Xuehu & Wong, Wing-Keung & Zhu, Lixing, 2013. "A Note on Almost Stochastic Dominance," MPRA Paper 44365, University Library of Munich, Germany.
    30. Qi Feng & J. George Shanthikumar, 2022. "Applications of Stochastic Orders and Stochastic Functions in Inventory and Pricing Problems," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1433-1453, April.
    31. Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2014. "Bivariate almost stochastic dominance," LIDAM Reprints ISBA 2014040, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Lee, Yung-Tsung & Kung, Ko-Lun & Liu, I-Chien, 2018. "Profitability and risk profile of reverse mortgages: A cross-system and cross-plan comparison," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 255-266.
    33. Xu, Peng, 2024. "Testing out-of-sample portfolio performance using second-order stochastic dominance constrained optimization approach," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    34. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Make Almost Stochastic Dominance really Almost," MPRA Paper 49745, University Library of Munich, Germany.
    35. Jow-Ran Chang & Wei-Han Liu & Mao-Wei Hung, 2019. "Revisiting generalized almost stochastic dominance," Annals of Operations Research, Springer, vol. 281(1), pages 175-192, October.
    36. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Bi, Hongwei & Zhu, Wei, 2022. "Nonmonotonic risk preferences over lottery comparison," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1458-1468.
    38. Christodoulakis, George & Mohamed, Abdulkadir & Topaloglou, Nikolas, 2018. "Optimal privatization portfolios in the presence of arbitrary risk aversion," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1172-1191.
    39. Levy, Moshe, 2024. "Does constant asset allocation dominate buy-and-hold?," Finance Research Letters, Elsevier, vol. 62(PB).
    40. Trung K. Do, 2021. "Socially responsible investing portfolio: An almost stochastic dominance approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1122-1132, January.
    41. Liqun Liu & Jack Meyer, 2021. "Stochastic superiority," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 225-246, June.
    42. Levy, Moshe, 2019. "Stocks for the log-run and constant relative risk aversion preferences," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1163-1168.
    43. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2020. "Distorted stochastic dominance: A generalized family of stochastic orders," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 132-139.
    44. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    45. Chin Hon Tan, 2015. "Weighted Almost Stochastic Dominance: Revealing the Preferences of Most Decision Makers in the St. Petersburg Paradox," Decision Analysis, INFORMS, vol. 12(2), pages 74-80, June.
    46. Gao, Jianwei & Zhao, Feng, 2017. "A new approach of stochastic dominance for ranking transformations on the discrete random variable," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-23.
    47. Apoorva Nitsure & Youssef Mroueh & Mattia Rigotti & Kristjan Greenewald & Brian Belgodere & Mikhail Yurochkin & Jiri Navratil & Igor Melnyk & Jerret Ross, 2023. "Risk Aware Benchmarking of Large Language Models," Papers 2310.07132, arXiv.org, revised Jun 2024.
    48. Wang, Hongxia & Zhou, Lin & Dai, Peng-Fei & Xiong, Xiong, 2022. "Moment conditions for fractional degree stochastic dominance," Finance Research Letters, Elsevier, vol. 49(C).
    49. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Almost Stochastic Dominance and Moments," MPRA Paper 49205, University Library of Munich, Germany.
    50. Fang, Yi & Post, Thierry, 2017. "Higher-degree stochastic dominance optimality and efficiency," European Journal of Operational Research, Elsevier, vol. 261(3), pages 984-993.
    51. Hermann Jahnke & Jan Thomas Martini & Tobias Wiens, 2019. "Price limits under incomplete preference information based on almost stochastic dominance," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 241-269, April.
    52. Chunling Luo & Chin Hon Tan, 2020. "Almost Stochastic Dominance for Most Risk-Averse Decision Makers," Decision Analysis, INFORMS, vol. 17(2), pages 169-184, June.
    53. Stelios Arvanitis & Thierry Post & Nikolas Topaloglou, 2021. "Stochastic Bounds for Reference Sets in Portfolio Analysis," Management Science, INFORMS, vol. 67(12), pages 7737-7754, December.
    54. Hengzhen Lu & Yingying Zhang & Ling Xiao & Gurjeet Dhesi, 2022. "A State-of-the-Art Fund Performance Index: Higher-Order Omega and Its Consistency with Almost Stochastic Dominance," JRFM, MDPI, vol. 15(10), pages 1-20, September.
    55. Liesiö, Juuso & Xu, Peng & Kuosmanen, Timo, 2020. "Portfolio diversification based on stochastic dominance under incomplete probability information," European Journal of Operational Research, Elsevier, vol. 286(2), pages 755-768.
    56. Simon Dietz & Anca N. Matei, 2013. "Is there space for agreement on climate change? A non-parametric approach to policy evaluation," GRI Working Papers 136, Grantham Research Institute on Climate Change and the Environment.

  15. Chuang, O-Chia & Eeckhoudt, Louis & Huang, Rachel J. & Tzeng, Larry Y., 2013. "Risky targets and effort," Insurance: Mathematics and Economics, Elsevier, vol. 52(3), pages 465-468.
    See citations under working paper version above.
  16. Huang, Rachel J. & Miao, Jerry C.Y. & Tzeng, Larry Y., 2013. "Does mortality improvement increase equity risk premiums? A risk perception perspective," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 67-77.

    Cited by:

    1. Liu, Xiaojun & Ma, Yong & Xu, Zhongyue, 2024. "Economic policy uncertainty, risk perception and stock price crash risk: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 865-876.

  17. Huang, Rachel J. & Huang, Yi-Chieh & Tzeng, Larry Y., 2013. "Insurance bargaining under ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 812-820.

    Cited by:

    1. Jianli Wang & Yingrong Su & Jingyuan Li & Ho Yin Yick, 2022. "Demand for insurance with nonadditive probabilistic beliefs," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 854-862, July.
    2. Biener, Christian & Landmann, Andreas & Santana, Maria Isabel, 2017. "Contract Nonperformance Risk and Uncertainty in Insurance Markets," Working Papers on Finance 1701, University of St. Gallen, School of Finance, revised Apr 2019.
    3. Peter, Richard & Ying, Jie, 2020. "Do you trust your insurer? Ambiguity about contract nonperformance and optimal insurance demand," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 938-954.
    4. Boonen, Tim J., 2016. "Nash equilibria of Over-The-Counter bargaining for insurance risk redistributions: The role of a regulator," European Journal of Operational Research, Elsevier, vol. 250(3), pages 955-965.
    5. Oechssler, Jörg & Roomets, Alex, 2023. "Dissolving an ambiguous partnership," Working Papers 0733, University of Heidelberg, Department of Economics.

  18. Shyi-Tarn Bair & Rachel J. Huang & Kili C. Wang, 2012. "Can Vehicle Maintenance Records Predict Automobile Accidents?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 567-584, June.

    Cited by:

    1. Maik Dehnert, 2020. "Sustaining the current or pursuing the new: incumbent digital transformation strategies in the financial service industry," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1071-1113, November.
    2. Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.

  19. Huang, Rachel J., 2012. "Ambiguity aversion, higher-order risk attitude and optimal effort," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 338-345.

    Cited by:

    1. Christian Robert & Pierre-Emmanuel Thérond, 2014. "Distortion risk measures, ambiguity aversion and optimal effort," Post-Print hal-00813199, HAL.
    2. Mario Menegatti, 2018. "Prudence and Different Kinds of Prevention," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(2), pages 273-285, April.
    3. Crainich, David & Menegatti, Mario, 2021. "Self-protection with random costs," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 63-67.
    4. Huang, Rachel J. & Huang, Yi-Chieh & Tzeng, Larry Y., 2013. "Insurance bargaining under ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 812-820.
    5. Richard Peter, 2021. "Who should exert more effort? Risk aversion, downside risk aversion and optimal prevention," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(4), pages 1259-1281, June.
    6. Xu, Jing, 2022. "Competition and equilibrium effort choice," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    7. Huang, Yi-Chieh & Tzeng, Larry Y. & Zhao, Lin, 2015. "Comparative ambiguity aversion and downside ambiguity aversion," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 257-269.
    8. Mario Menegatti, 2021. "Subsidizing risk prevention," Journal of Economics, Springer, vol. 134(2), pages 175-193, October.

  20. Rachel J Huang & Pai-Ta Shih & Larry Y Tzeng, 2012. "Disappointment and the Optimal Insurance Contract," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 37(2), pages 258-284, September.

    Cited by:

    1. Cheung, K.C. & Chong, W.F. & Yam, S.C.P., 2015. "The optimal insurance under disappointment theories," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 77-90.
    2. Johannes G. Jaspersen & Richard Peter & Marc A. Ragin, 2023. "Probability weighting and insurance demand in a unified framework," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(1), pages 63-109, March.
    3. Jean-François Outreville, 2014. "The Meaning of Risk? Insights from The Geneva Risk and Insurance Review," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(4), pages 768-781, October.

  21. Louis Eeckhoudt & Rachel J. Huang & Larry Y. Tzeng, 2012. "Precautionary Effort: A New Look," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 585-590, June.
    See citations under working paper version above.
  22. Rachel J Huang & Yu-Jane Liu & Larry Y Tzeng, 2010. "Hidden Overconfidence and Advantageous Selection," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 35(2), pages 93-107, December.

    Cited by:

    1. Rachel J. Huang & Alexander Muermann & Larry Y. Tzeng, 2016. "Hidden Regret In Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 181-216, January.
    2. Gemmo, Irina & Browne, Mark J. & Gründl, Helmut, 2017. "Transparency aversion and insurance market equilibria," ICIR Working Paper Series 25/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    3. Jing Ai & Lin Zhao & Wei Zhu, 2016. "Contracting with Present-Biased Consumers in Insurance Markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 41(2), pages 107-148, September.
    4. Rachel J. Huang & Arthur Snow & Larry Y. Tzeng, 2017. "Advantageous Selection in Insurance Markets with Compound Risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(2), pages 171-192, September.
    5. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    6. Leon Chen & Puneet Jaiprakash, 2017. "An Insurance Market Simulation With Both Adverse and Advantageous Selection," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(1), pages 133-146, March.
    7. Klajdi Bregu, 2022. "The effect of overconfidence on insurance demand," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(2), pages 298-326, September.

  23. Kili C Wang & Rachel J Huang & Larry Y Tzeng, 2009. "Empirical Evidence for Advantageous Selection in the Commercial Fire Insurance Market*," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 34(1), pages 1-19, June.

    Cited by:

    1. Philippe de Donder & Marie-Louise Leroux & François Salanié, 2023. "Advantageous selection without moral hazard," Post-Print hal-04120555, HAL.
    2. Jean-François Outreville, 2014. "The Meaning of Risk? Insights from The Geneva Risk and Insurance Review," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(4), pages 768-781, October.
    3. Rachel J. Huang & Arthur Snow & Larry Y. Tzeng, 2017. "Advantageous Selection in Insurance Markets with Compound Risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(2), pages 171-192, September.
    4. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    5. Leon Chen & Puneet Jaiprakash, 2017. "An Insurance Market Simulation With Both Adverse and Advantageous Selection," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(1), pages 133-146, March.
    6. J François Outreville, 2010. "The Geneva Risk and Insurance Review 2009: In Quest of Behavioural Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(3), pages 484-497, July.

  24. Huang, Rachel J. & Tsai, Jeffrey T. & Tzeng, Larry Y., 2008. "Government-provided annuities under insolvency risk," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 377-385, December.

    Cited by:

    1. Post, Thomas, 2009. "Individual welfare gains from deferred life-annuities under stochastic Lee-Carter mortality," SFB 649 Discussion Papers 2009-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Pamela Searle & Peter Ayton & Iain Clacher, 2024. "Annuity selection in the presence of insurer default risk and government guarantees," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 91(1), pages 161-192, March.
    3. Roman N. Schulze & Thomas Post, 2010. "Individual Annuity Demand Under Aggregate Mortality Risk," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 423-449, June.

  25. Rachel J. Huang & Larry Y. Tzeng, 2008. "Consumption Externality and Equilibrium Underinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 1039-1054, December.

    Cited by:

    1. Jiang, Yawen & Ni, Weiyi, 2020. "Impact of supplementary private health insurance on hospitalization and physical examination in China," China Economic Review, Elsevier, vol. 63(C).
    2. Jacqueline Volkman Wise, 2013. "Pension Portfolio Choice and Peer Envy," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 461-489, June.

  26. Rachel J. Huang & Larry Y. Tzeng, 2007. "Optimal Tax Deductions for Net Losses Under Private Insurance With an Upper Limit," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(4), pages 883-893, December.

    Cited by:

    1. Mao Hong & Wen Zhongkai, 2018. "Optimization of Price, Default Ratio and Capital under Regulatory Criterion of Maximizing Social Benefit," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-15, July.
    2. Hong Mao & Krzysztof Ostaszewski, 2021. "Optimal Claim Settlement Strategies under Constraint of Cap on Claim Loss," Mathematics, MDPI, vol. 9(24), pages 1-12, December.
    3. Rachel J. Huang & Larry Y. Tzeng, 2008. "Consumption Externality and Equilibrium Underinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 1039-1054, December.

  27. Rachel J. Huang & Larry Y. Tzeng, 2007. "Insurer's insolvency risk and tax deductions for the individual's net losses," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(2), pages 129-145, December.

    Cited by:

    1. Wu, T.C. Michael & Yang, C.C., 2014. "Income tax deductions for losses as insurance revisited," Economic Modelling, Elsevier, vol. 41(C), pages 274-280.
    2. Huang, Rachel J. & Tsai, Jeffrey T. & Tzeng, Larry Y., 2008. "Government-provided annuities under insolvency risk," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 377-385, December.
    3. Peter, Richard & Ying, Jie, 2020. "Do you trust your insurer? Ambiguity about contract nonperformance and optimal insurance demand," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 938-954.
    4. Rachel J. Huang & Larry Y. Tzeng, 2008. "Consumption Externality and Equilibrium Underinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 1039-1054, December.

  28. Rachel J. Huang & Larry Y. Tzeng, 2006. "The design of an optimal insurance contract for irreplaceable commodities," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 31(1), pages 11-21, July.

    Cited by:

    1. Marielle Brunette & Stéphane Couture, 2018. "Risk management activities of a non-industrial private forest owner with a bivariate utility function," Review of Agricultural, Food and Environmental Studies, Springer, vol. 99(3), pages 281-302, December.
    2. Markus Rieger‐Fels, 2024. "Why do people buy insurance? A modern answer to an old question," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 27(1), pages 89-114, April.
    3. Lee, Hangsuck & Lee, Minha & Hong, Jimin, 2022. "Optimal insurance under moral hazard in loss reduction," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    4. Fels, Markus, 2019. "Risk attitudes with state-dependent indivisibilities in consumption," Ruhr Economic Papers 805, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Yichun Chi & Xun Yu Zhou & Sheng Chao Zhuang, 2020. "Variance Contracts," Papers 2008.07103, arXiv.org.
    6. Seog, S. Hun & Hong, Jimin, 2024. "Moral hazard in loss reduction and state-dependent utility," Insurance: Mathematics and Economics, Elsevier, vol. 115(C), pages 151-168.
    7. Chi, Yichun & Zhuang, Sheng Chao, 2022. "Regret-based optimal insurance design," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 22-41.
    8. Chi, Yichun & Zhou, Xun Yu & Zhuang, Sheng Chao, 2024. "Variance insurance contracts," Insurance: Mathematics and Economics, Elsevier, vol. 115(C), pages 62-82.

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