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Eric R. Ulm

Personal Details

First Name:Eric
Middle Name:R.
Last Name:Ulm
Suffix:
RePEc Short-ID:pul66
[This author has chosen not to make the email address public]

Affiliation

School of Economics and Finance
Wellington School of Business and Government
Victoria University of Wellington

Wellington, New Zealand
https://www.wgtn.ac.nz/business/academic-areas/economics-and-finance
RePEc:edi:egvuwnz (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Glenn W. Harrison & Jimmy Martínez-Correa & J. Todd Swarthout & Eric R. Ulm, 2012. "Scoring Rules for Subjective Probability Distributions," Experimental Economics Center Working Paper Series 2012-18, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Apr 2013.

Articles

  1. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2017. "Scoring rules for subjective probability distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 430-448.
  2. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2015. "Eliciting subjective probability distributions with binary lotteries," Economics Letters, Elsevier, vol. 127(C), pages 68-71.
  3. Gao, Jin & Ulm, Eric R., 2015. "Optimal allocation and consumption with guaranteed minimum death benefits, external income and term life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 87-98.
  4. Ulm, Eric R., 2014. "Analytic solution for ratchet guaranteed minimum death benefit options under a variety of mortality laws," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 14-23.
  5. Gao, Jin & Ulm, Eric R., 2012. "Optimal consumption and allocation in variable annuities with Guaranteed Minimum Death Benefits," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 586-598.
  6. Eric R. Ulm, 2012. "Insurance Pricing, Reserving, and Performance Evaluation Under External Constraints on Capitalization and Return on Equity," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 541-566, June.
  7. Ulm, Eric R., 2008. "Analytic Solution for Return of Premium and Rollup Guaranteed Minimum Death Benefit Options Under Some Simple Mortality Laws," ASTIN Bulletin, Cambridge University Press, vol. 38(2), pages 543-563, November.
  8. Eric R. Ulm, 2006. "The Effect of the Real Option to Transfer on the Value of Guaranteed Minimum Death Benefits," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(1), pages 43-69, March.

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. Glenn W. Harrison & Jimmy Martínez-Correa & J. Todd Swarthout & Eric R. Ulm, 2012. "Scoring Rules for Subjective Probability Distributions," Experimental Economics Center Working Paper Series 2012-18, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Apr 2013.

    Cited by:

    1. Paolo Crosetto & Thomas de Haan, 2022. "Comparing input interfaces to elicit belief distributions," Working Papers halshs-03816349, HAL.
    2. Crosetto, P. & Filippin, A. & Katuscak, P. & Smith, J., 2019. "Central tendency bias in belief elicitation," Working Papers 2019-04, Grenoble Applied Economics Laboratory (GAEL).
    3. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2022. "Subjective beliefs and economic preferences during the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 795-823, June.
    4. Amalia Di Girolamo & Glenn W. Harrison & Morten I. Lau & J. Todd Swarthout, 2015. "Subjective Belief Distributions and the Characterization of Economic Literacy," Experimental Economics Center Working Paper Series 2015-06, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    5. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
    6. Dimant, Eugen, 2023. "Beyond average: A method for measuring the tightness, looseness, and polarization of social norms," Economics Letters, Elsevier, vol. 233(C).
    7. Buchanan, Joy A., 2020. "My reference point, not yours," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 297-311.
    8. Quentin Cavalan & Vincent de Gardelle & Jean-Christophe Vergnaud, 2023. "No evidence of biased updating in beliefs about absolute performance: A replication and generalization of Grossman and Owens (2012)," Post-Print hal-04197586, HAL.
    9. Ronald Peeters & Leonard Wolk, 2019. "Elicitation of expectations using Colonel Blotto," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 268-288, March.
    10. Arni, Patrick & Dragone, Davide & Götte, Lorenz & Ziebarth, Nicolas R., 2020. "Biased Health Perceptions and Risky Health Behaviors: Theory and Evidence," IZA Discussion Papers 13308, Institute of Labor Economics (IZA).
    11. Glenn W. Harrison & Jia Min Ng, 2019. "Behavioral insurance and economic theory: A literature review," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 133-182, July.
    12. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    13. Andersen, Steffen & Fountain, John & Harrison, Glenn W. & Rutström, Elisabet E., 2009. "Estimating Subjective Probabilities," Working Papers 05-2009, Copenhagen Business School, Department of Economics.
    14. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
    15. Amalia Di Girolamo & Glenn W. Harrison & Morten I. Lau & J. Todd Swarthout, 2013. "Characterizing Financial and Statistical Literacy," Experimental Economics Center Working Paper Series 2013-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    16. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2021. "A case study of an experiment during the COVID-19 pandemic: online elicitation of subjective beliefs and economic preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 194-209, December.
    17. Jaspersen, Johannes G., 2013. "An incentive compatible scoring rule for ordinal judgments of expected utility maximizers," Economics Letters, Elsevier, vol. 120(2), pages 245-248.
    18. Eryk Krysowski & James Tremewan, 2021. "Why Does Anonymity Make Us Misbehave: Different Norms Or Less Compliance?," Economic Inquiry, Western Economic Association International, vol. 59(2), pages 776-789, April.
    19. Romain Espinosa & Nicolas Treich, 2023. "Eliciting Non-hypothetical Willingness-to-pay for Novel Products: An Application to Cultured Meat," Post-Print hal-04167450, HAL.
    20. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    21. Olivier L'Haridon & Craig S. Webb & Horst Zank, 2021. "An Effective and Simple Tool for Measuring Loss Aversion," Economics Discussion Paper Series 2107, Economics, The University of Manchester.
    22. Glenn Harrison & Karlijn Morsink & Mark Schneider, 2022. "Literacy and the quality of index insurance decisions," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(1), pages 66-97, March.
    23. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2015. "Eliciting subjective probability distributions with binary lotteries," Economics Letters, Elsevier, vol. 127(C), pages 68-71.
    24. Pedro Gonzalez-Fernandez, 2024. "Belief Bias Identification," Papers 2404.09297, arXiv.org, revised Nov 2024.
    25. Hillenbrand, Adrian & Schmelzer, André, 2017. "Beyond information: Disclosure, distracted attention, and investor behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 14-21.
    26. Fairley, Kim & Parelman, Jacob M. & Jones, Matt & Carter, R. McKell, 2019. "Risky health choices and the Balloon Economic Risk Protocol," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 15-33.
    27. Miguel A. Fonseca & Ashley McCrea, 2023. "The role of shortlisting in shifting gender beliefs on performance: experimental evidence," Discussion Papers 2315, University of Exeter, Department of Economics.
    28. Ingrid Burfurd & Tom Wilkening, 2022. "Cognitive heterogeneity and complex belief elicitation," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 557-592, April.
    29. Eugen Dimant & Michele Gelfand & Anna Hochleitner & Silvia Sonderegger, 2022. "Strategic Behavior with Tight, Loose and Polarized Norms," ECONtribute Discussion Papers Series 198, University of Bonn and University of Cologne, Germany.
    30. David Scrogin, 2023. "Estimating risk and time preferences over public lotteries: Findings from the field and stream," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 73-106, August.
    31. Harou, Aurelie P. & Tamim, Abdulrazzak, 2024. "Technology adoption and farmer beliefs: Experimental evidence from Tanzania," 2024 Annual Meeting, July 28-30, New Orleans, LA 344029, Agricultural and Applied Economics Association.
    32. Charness, Gary & Gneezy, Uri & Rasocha, Vlastimil, 2021. "Experimental methods: Eliciting beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 234-256.
    33. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    34. Nicholls, Nicky, 2023. "Procrastination and grades: Can students be nudged towards better outcomes?," International Review of Economics Education, Elsevier, vol. 42(C).
    35. Vickie Bajtelsmit & Jennifer Coats & Paul Thistle, 2015. "The effect of ambiguity on risk management choices: An experimental study," Journal of Risk and Uncertainty, Springer, vol. 50(3), pages 249-280, June.
    36. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    37. Eugen Dimant & Michele Gelfand & Anna Hochleitner & Silvia Sonderegger, 2023. "Strategic Behavior with Tight, Loose and Polarized Norms," CESifo Working Paper Series 10233, CESifo.
    38. Schüssler, Katharina, 2018. "The Influence of Overconfidence and Competition Neglect On Entry Into Competition," Rationality and Competition Discussion Paper Series 87, CRC TRR 190 Rationality and Competition.
    39. Scrogin, David, 2018. "Risk preferences over simple and compound public lotteries," Economics Letters, Elsevier, vol. 170(C), pages 85-87.
    40. de Haan, Thomas, 2020. "Eliciting belief distributions using a random two-level partitioning of the state space," Working Papers in Economics 1/20, University of Bergen, Department of Economics.
    41. Glenn W. Harrison, 2019. "The behavioral welfare economics of insurance," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(2), pages 137-175, September.
    42. Werthschulte, Madeline & Löschel, Andreas, 2021. "On the role of present bias and biased price beliefs in household energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).

Articles

  1. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2017. "Scoring rules for subjective probability distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 430-448.
    See citations under working paper version above.
  2. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2015. "Eliciting subjective probability distributions with binary lotteries," Economics Letters, Elsevier, vol. 127(C), pages 68-71.

    Cited by:

    1. Amalia Di Girolamo & Glenn W. Harrison & Morten I. Lau & J. Todd Swarthout, 2015. "Subjective Belief Distributions and the Characterization of Economic Literacy," Experimental Economics Center Working Paper Series 2015-06, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    2. Elias Tsakas, 2022. "Belief identification with state-dependent utilities," Papers 2203.10505, arXiv.org, revised Nov 2022.
    3. Arni, Patrick & Dragone, Davide & Götte, Lorenz & Ziebarth, Nicolas R., 2020. "Biased Health Perceptions and Risky Health Behaviors: Theory and Evidence," IZA Discussion Papers 13308, Institute of Labor Economics (IZA).
    4. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    5. Ingrid Burfurd & Tom Wilkening, 2022. "Cognitive heterogeneity and complex belief elicitation," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 557-592, April.
    6. Elias Tsakas, 2021. "Identification of misreported beliefs," Papers 2112.12975, arXiv.org.
    7. Tsakas, Elias, 2020. "Robust scoring rules," Theoretical Economics, Econometric Society, vol. 15(3), July.
    8. Linda Babcock & Maria P. Recalde & Lise Vesterlund & Laurie Weingart, 2017. "Gender Differences in Accepting and Receiving Requests for Tasks with Low Promotability," American Economic Review, American Economic Association, vol. 107(3), pages 714-747, March.
    9. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    10. Schüssler, Katharina, 2018. "The Influence of Overconfidence and Competition Neglect On Entry Into Competition," Rationality and Competition Discussion Paper Series 87, CRC TRR 190 Rationality and Competition.
    11. Erkal, Nisvan & Gangadharan, Lata & Koh, Boon Han, 2020. "Replication: Belief elicitation with quadratic and binarized scoring rules," Journal of Economic Psychology, Elsevier, vol. 81(C).

  3. Gao, Jin & Ulm, Eric R., 2015. "Optimal allocation and consumption with guaranteed minimum death benefits, external income and term life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 87-98.

    Cited by:

    1. Huang, Huaxiong & Milevsky, Moshe A., 2016. "Longevity risk and retirement income tax efficiency: A location spending rate puzzle," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 50-62.
    2. Srbinoski Bojan & Strozzi Fernanda & Poposki Klime & Born Patricia H., 2020. "Trends in Life Insurance Demand and Lapse Literature," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(2), pages 1-46, July.
    3. Ulm, Eric, 2020. "Analytic Valuation of GMDB Options with Utility Based Asset Allocation," Working Paper Series 21060, Victoria University of Wellington, School of Economics and Finance.
    4. Moenig, Thorsten, 2021. "Variable annuities: Market incompleteness and policyholder behavior," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 63-78.

  4. Ulm, Eric R., 2014. "Analytic solution for ratchet guaranteed minimum death benefit options under a variety of mortality laws," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 14-23.

    Cited by:

    1. Kirkby, J. Lars & Nguyen, Duy, 2021. "Equity-linked Guaranteed Minimum Death Benefits with dollar cost averaging," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 408-428.
    2. Huang, Huaxiong & Milevsky, Moshe A., 2016. "Longevity risk and retirement income tax efficiency: A location spending rate puzzle," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 50-62.
    3. Feng, Runhuan & Shimizu, Yasutaka, 2016. "Applications of central limit theorems for equity-linked insurance," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 138-148.
    4. Wenguang Yu & Yaodi Yong & Guofeng Guan & Yujuan Huang & Wen Su & Chaoran Cui, 2019. "Valuing Guaranteed Minimum Death Benefits by Cosine Series Expansion," Mathematics, MDPI, vol. 7(9), pages 1-15, September.
    5. Harcourt, Darcy & Daglish, Toby & Ulm, Eric R., 2024. "Analytic valuation of guaranteed lifetime withdrawal benefits with a modified ratchet," Insurance: Mathematics and Economics, Elsevier, vol. 118(C), pages 59-71.
    6. Runhuan Feng & Xiaochen Jing & Jan Dhaene, 2015. "Comonotonic approximations of risk measures for variable annuity guaranteed benefits with dynamic policyholder behavior," Working Papers Department of Accountancy, Finance and Insurance (AFI), Leuven 485229, KU Leuven, Faculty of Economics and Business (FEB), Department of Accountancy, Finance and Insurance (AFI), Leuven.
    7. Yaodi Yong & Hailiang Yang, 2021. "Valuation of Cliquet-Style Guarantees with Death Benefits in Jump Diffusion Models," Mathematics, MDPI, vol. 9(16), pages 1-21, August.
    8. Ulm, Eric, 2020. "Analytic Valuation of GMDB Options with Utility Based Asset Allocation," Working Paper Series 21060, Victoria University of Wellington, School of Economics and Finance.
    9. Liang, Xiaoqing & Tsai, Cary Chi-Liang & Lu, Yi, 2016. "Valuing guaranteed equity-linked contracts under piecewise constant forces of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 150-161.

  5. Gao, Jin & Ulm, Eric R., 2012. "Optimal consumption and allocation in variable annuities with Guaranteed Minimum Death Benefits," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 586-598.

    Cited by:

    1. Kevin Maritato & Morton Lane & Matthew Murphy & Stan Uryasev, 2022. "Optimal Allocation of Retirement Portfolios," JRFM, MDPI, vol. 15(2), pages 1-17, February.
    2. Gao, Jin & Ulm, Eric R., 2015. "Optimal allocation and consumption with guaranteed minimum death benefits, external income and term life insurance," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 87-98.
    3. Horneff, Vanya & Maurer, Raimond & Mitchell, Olivia S. & Rogalla, Ralph, 2015. "Optimal life cycle portfolio choice with variable annuities offering liquidity and investment downside protection," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 91-107.
    4. Huang, H. & Milevsky, M.A. & Salisbury, T.S., 2014. "Optimal initiation of a GLWB in a variable annuity: No Arbitrage approach," Insurance: Mathematics and Economics, Elsevier, vol. 56(C), pages 102-111.
    5. Xu, Wei & Chen, Yuehuan & Coleman, Conrad & Coleman, Thomas F., 2018. "Moment matching machine learning methods for risk management of large variable annuity portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 1-20.
    6. Steinorth, Petra & Mitchell, Olivia S., 2015. "Valuing variable annuities with guaranteed minimum lifetime withdrawal benefits," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 246-258.
    7. Dong, Bing & Xu, Wei & Sevic, Aleksandar & Sevic, Zeljko, 2020. "Efficient willow tree method for variable annuities valuation and risk management☆," International Review of Financial Analysis, Elsevier, vol. 68(C).
    8. Anne Mackay & Marie-Claude Vachon, 2023. "On an Optimal Stopping Problem with a Discontinuous Reward," Papers 2311.03538, arXiv.org, revised Nov 2023.
    9. Yung-Tsung Lee & Tianxiang Shi, 2022. "Valuation of Reverse Mortgages with Surrender: A Utility Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 593-621, November.
    10. Gan, Guojun & Lin, X. Sheldon, 2015. "Valuation of large variable annuity portfolios under nested simulation: A functional data approach," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 138-150.
    11. Tang, Chun-Hua, 2018. "Subjective value of the guarantees embedded in public cash-balance pension plans," Journal of Pension Economics and Finance, Cambridge University Press, vol. 17(2), pages 231-250, April.
    12. Pavel V. Shevchenko & Xiaolin Luo, 2016. "A Unified Pricing of Variable Annuity Guarantees under the Optimal Stochastic Control Framework," Risks, MDPI, vol. 4(3), pages 1-31, July.
    13. Ulm, Eric, 2020. "Analytic Valuation of GMDB Options with Utility Based Asset Allocation," Working Paper Series 21060, Victoria University of Wellington, School of Economics and Finance.
    14. Thorsten Moenig, 2021. "Efficient valuation of variable annuity portfolios with dynamic programming," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(4), pages 1023-1055, December.
    15. Pavel V. Shevchenko & Xiaolin Luo, 2016. "A unified pricing of variable annuity guarantees under the optimal stochastic control framework," Papers 1605.00339, arXiv.org.
    16. Moenig, Thorsten, 2021. "Variable annuities: Market incompleteness and policyholder behavior," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 63-78.
    17. Wang, Yayun & Zhang, Zhimin & Yu, Wenguang, 2021. "Pricing equity-linked death benefits by complex Fourier series expansion in a regime-switching jump diffusion model," Applied Mathematics and Computation, Elsevier, vol. 399(C).
    18. Gan, Guojun, 2013. "Application of data clustering and machine learning in variable annuity valuation," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 795-801.

  6. Ulm, Eric R., 2008. "Analytic Solution for Return of Premium and Rollup Guaranteed Minimum Death Benefit Options Under Some Simple Mortality Laws," ASTIN Bulletin, Cambridge University Press, vol. 38(2), pages 543-563, November.

    Cited by:

    1. Anne MacKay & Maciej Augustyniak & Carole Bernard & Mary R. Hardy, 2017. "Risk Management of Policyholder Behavior in Equity-Linked Life Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 661-690, June.
    2. Feng, Runhuan & Huang, Huaxiong, 2016. "Statutory financial reporting for variable annuity guaranteed death benefits: Market practice, mathematical modeling and computation," Insurance: Mathematics and Economics, Elsevier, vol. 67(C), pages 54-64.
    3. Feng, Runhuan & Shimizu, Yasutaka, 2016. "Applications of central limit theorems for equity-linked insurance," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 138-148.
    4. Wenguang Yu & Yaodi Yong & Guofeng Guan & Yujuan Huang & Wen Su & Chaoran Cui, 2019. "Valuing Guaranteed Minimum Death Benefits by Cosine Series Expansion," Mathematics, MDPI, vol. 7(9), pages 1-15, September.
    5. Ulm, Eric R., 2014. "Analytic solution for ratchet guaranteed minimum death benefit options under a variety of mortality laws," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 14-23.
    6. Runhuan Feng & Xiaochen Jing & Jan Dhaene, 2015. "Comonotonic approximations of risk measures for variable annuity guaranteed benefits with dynamic policyholder behavior," Working Papers Department of Accountancy, Finance and Insurance (AFI), Leuven 485229, KU Leuven, Faculty of Economics and Business (FEB), Department of Accountancy, Finance and Insurance (AFI), Leuven.
    7. Yaodi Yong & Hailiang Yang, 2021. "Valuation of Cliquet-Style Guarantees with Death Benefits in Jump Diffusion Models," Mathematics, MDPI, vol. 9(16), pages 1-21, August.
    8. Ulm, Eric, 2020. "Analytic Valuation of GMDB Options with Utility Based Asset Allocation," Working Paper Series 21060, Victoria University of Wellington, School of Economics and Finance.
    9. Feng, Runhuan & Yi, Bingji, 2019. "Quantitative modeling of risk management strategies: Stochastic reserving and hedging of variable annuity guaranteed benefits," Insurance: Mathematics and Economics, Elsevier, vol. 85(C), pages 60-73.
    10. Zhang, Zhimin & Zhong, Wei, 2024. "Efficient valuation of guaranteed minimum accumulation benefits in regime switching jump diffusion models with lapse risk," Applied Mathematics and Computation, Elsevier, vol. 478(C).
    11. Liang, Xiaoqing & Tsai, Cary Chi-Liang & Lu, Yi, 2016. "Valuing guaranteed equity-linked contracts under piecewise constant forces of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 150-161.
    12. Gerber, Hans U. & Shiu, Elias S.W. & Yang, Hailiang, 2015. "Geometric stopping of a random walk and its applications to valuing equity-linked death benefits," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 313-325.
    13. Wang, Yayun & Zhang, Zhimin & Yu, Wenguang, 2021. "Pricing equity-linked death benefits by complex Fourier series expansion in a regime-switching jump diffusion model," Applied Mathematics and Computation, Elsevier, vol. 399(C).
    14. Gerber, Hans U. & Shiu, Elias S.W. & Yang, Hailiang, 2012. "Valuing equity-linked death benefits and other contingent options: A discounted density approach," Insurance: Mathematics and Economics, Elsevier, vol. 51(1), pages 73-92.

  7. Eric R. Ulm, 2006. "The Effect of the Real Option to Transfer on the Value of Guaranteed Minimum Death Benefits," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(1), pages 43-69, March.

    Cited by:

    1. Seyed Amir Hejazi & Kenneth R. Jackson, 2016. "A Neural Network Approach to Efficient Valuation of Large Portfolios of Variable Annuities," Papers 1606.07831, arXiv.org.
    2. Anne MacKay & Maciej Augustyniak & Carole Bernard & Mary R. Hardy, 2017. "Risk Management of Policyholder Behavior in Equity-Linked Life Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 661-690, June.
    3. Steinorth, Petra & Mitchell, Olivia S., 2015. "Valuing variable annuities with guaranteed minimum lifetime withdrawal benefits," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 246-258.
    4. Hejazi, Seyed Amir & Jackson, Kenneth R., 2016. "A neural network approach to efficient valuation of large portfolios of variable annuities," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 169-181.
    5. Ulm, Eric R., 2014. "Analytic solution for ratchet guaranteed minimum death benefit options under a variety of mortality laws," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 14-23.
    6. Yichen Han & Dongchen Li & Kun Fan & Jiaxin Wan & Luyan Li, 2024. "Valuation of a Mixture of GMIB and GMDB Variable Annuity," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
    7. Gao, Jin & Ulm, Eric R., 2012. "Optimal consumption and allocation in variable annuities with Guaranteed Minimum Death Benefits," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 586-598.
    8. Yaodi Yong & Hailiang Yang, 2021. "Valuation of Cliquet-Style Guarantees with Death Benefits in Jump Diffusion Models," Mathematics, MDPI, vol. 9(16), pages 1-21, August.
    9. Ulm, Eric, 2020. "Analytic Valuation of GMDB Options with Utility Based Asset Allocation," Working Paper Series 21060, Victoria University of Wellington, School of Economics and Finance.
    10. Seyed Amir Hejazi & Kenneth R. Jackson & Guojun Gan, 2017. "A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities," Papers 1701.04134, arXiv.org.
    11. Liang, Xiaoqing & Tsai, Cary Chi-Liang & Lu, Yi, 2016. "Valuing guaranteed equity-linked contracts under piecewise constant forces of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 150-161.
    12. Gerber, Hans U. & Shiu, Elias S.W. & Yang, Hailiang, 2015. "Geometric stopping of a random walk and its applications to valuing equity-linked death benefits," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 313-325.
    13. Moenig, Thorsten, 2021. "Variable annuities: Market incompleteness and policyholder behavior," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 63-78.
    14. Wang, Yayun & Zhang, Zhimin & Yu, Wenguang, 2021. "Pricing equity-linked death benefits by complex Fourier series expansion in a regime-switching jump diffusion model," Applied Mathematics and Computation, Elsevier, vol. 399(C).
    15. Gerber, Hans U. & Shiu, Elias S.W. & Yang, Hailiang, 2012. "Valuing equity-linked death benefits and other contingent options: A discounted density approach," Insurance: Mathematics and Economics, Elsevier, vol. 51(1), pages 73-92.

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Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.