Massimiliano Menzietti

Personal Details

First Name:	Massimiliano
Middle Name:
Last Name:	Menzietti
Suffix:
RePEc Short-ID:	pme936

Affiliation

Dipartimento di Scienze Economiche, Statistiche e Finanziarie "Giovanni Anania"
Università degli Studi della Calabria

Arcavacata di Rende, Italy
https://www.desf.unical.it/
RePEc:edi:decalit (more details at EDIRC)

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. Devolder, Pierre & Levantesi, Susanna & Menzietti, Massimiliano, 2020. "Automatic balance mechanisms for notional defined contribution pension systems guaranteeing social adequacy and financial sustainability: an application to the Italian pension system," LIDAM Reprints ISBA 2020025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Pierre Devolder & Susanna Levantesi & Massimiliano Menzietti, 2021. "Automatic balance mechanisms for notional defined contribution pension systems guaranteeing social adequacy and financial sustainability: an application to the Italian pension system," Annals of Operations Research, Springer, vol. 299(1), pages 765-795, April.

   Cited by:

   1. Ishay Wolf & Smadar Levi, 2022. "Vague Pension Future: Empirical Evidence from the Israeli Radical Privatized Market," JRFM, MDPI, vol. 15(5), pages 1-15, April.
   2. Jorge Miguel Bravo & Mercedes Ayuso & Robert Holzmann & Edward Palmer, 2021. "Intergenerational Actuarial Fairness when Longevity Increases: Amending the Retirement Age," CESifo Working Paper Series 9408, CESifo.
      • Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2023. "Intergenerational actuarial fairness when longevity increases: Amending the retirement age," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 161-184.
   3. Shin Kimura & Tomoki Kitamura & Kunio Nakashima, 2023. "Investment risk-taking and benefit adequacy under automatic balancing mechanism in the Japanese public pension system," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-19, December.
   4. Lorenzo Fratoni & Susanna Levantesi & Massimiliano Menzietti, 2022. "Measuring Financial Sustainability and Social Adequacy of the Italian NDC Pension System under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
   5. Sebastiano Vitali & Vittorio Moriggia, 2021. "Pension fund management with investment certificates and stochastic dominance," Annals of Operations Research, Springer, vol. 299(1), pages 273-292, April.
   6. Sipei Xu & Jia Zhang, 2022. "Do Social Pensions Affect the Physical and Mental Health of Rural Children in China? An Intergenerational Care Perspective," IJERPH, MDPI, vol. 19(7), pages 1-25, March.

Articles

1. Giuseppina Bozzo & Susanna Levantesi & Massimiliano Menzietti, 2021. "Longevity risk and economic growth in sub-populations: evidence from Italy," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 101-115, June.

   Cited by:

   1. Francesca Perla & Salvatore Scognamiglio, 2023. "Locally-coherent multi-population mortality modelling via neural networks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 157-176, June.

2. Pierre Devolder & Susanna Levantesi & Massimiliano Menzietti, 2021. "Automatic balance mechanisms for notional defined contribution pension systems guaranteeing social adequacy and financial sustainability: an application to the Italian pension system," Annals of Operations Research, Springer, vol. 299(1), pages 765-795, April.
   • Devolder, Pierre & Levantesi, Susanna & Menzietti, Massimiliano, 2020. "Automatic balance mechanisms for notional defined contribution pension systems guaranteeing social adequacy and financial sustainability: an application to the Italian pension system," LIDAM Reprints ISBA 2020025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   See citations under working paper version above.
3. Lorenzo Cerboni Baiardi & Massimo Costabile & Domenico De Giovanni & Fabio Lamantia & Arturo Leccadito & Ivar Massabó & Massimiliano Menzietti & Marco Pirra & Emilio Russo & Alessandro Staino, 2020. "The Dynamics of the S&P 500 under a Crisis Context: Insights from a Three-Regime Switching Model," Risks, MDPI, vol. 8(3), pages 1-15, July.

   Cited by:

   1. Elisa Di Febo & Matteo Foglia & Eliana Angelini, 2021. "Tail Risk and Extreme Events: Connections between Oil and Clean Energy," Risks, MDPI, vol. 9(2), pages 1-13, February.

4. Levantesi, Susanna & Menzietti, Massimiliano, 2018. "Natural Hedging In Long-Term Care Insurance," ASTIN Bulletin, Cambridge University Press, vol. 48(1), pages 233-274, January.

   Cited by:

   1. Martin Eling & Omid Ghavibazoo, 2019. "Research on long-term care insurance: status quo and directions for future research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 303-356, April.
   2. Jamaal Ahmad, 2021. "Multivariate higher order moments in multi-state life insurance," Papers 2102.11714, arXiv.org, revised Oct 2021.

5. Susanna Levantesi & Massimiliano Menzietti, 2017. "Maximum Market Price of Longevity Risk under Solvency Regimes: The Case of Solvency II," Risks, MDPI, vol. 5(2), pages 1-21, May.

   Cited by:

   1. Zeddouk, Fadoua & Devolder, Pierre, 2022. "Pricing and hedging of longevity basis risk through securitization," LIDAM Discussion Papers ISBA 2022038, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   2. Fadoua Zeddouk & Pierre Devolder, 2019. "Pricing of Longevity Derivatives and Cost of Capital," Risks, MDPI, vol. 7(2), pages 1-29, April.
   3. Fadoua Zeddouk & Pierre Devolder, 2020. "Longevity Modelling and Pricing under a Dependent Multi-Cohort Framework," Risks, MDPI, vol. 8(4), pages 1-23, November.

6. Levantesi, Susanna & Menzietti, Massimiliano, 2012. "Managing longevity and disability risks in life annuities with long term care," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 391-401.

   Cited by:

   1. Fuino, Michel & Wagner, Joël, 2018. "Long-term care models and dependence probability tables by acuity level: New empirical evidence from Switzerland," Insurance: Mathematics and Economics, Elsevier, vol. 81(C), pages 51-70.
   2. Martin Eling & Omid Ghavibazoo, 2019. "Research on long-term care insurance: status quo and directions for future research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 303-356, April.
   3. Chen, An & Fuino, Michel & Sehner, Thorsten & Wagner, Joël, 2022. "Valuation of long-term care options embedded in life annuities," Annals of Actuarial Science, Cambridge University Press, vol. 16(1), pages 68-94, March.
   4. Franca Glenzer & Bertrand Achou, 2019. "Annuities, long-term care insurance, and insurer solvency," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 252-276, April.
   5. Tomas, Julien & Planchet, Frédéric, 2013. "Multidimensional smoothing by adaptive local kernel-weighted log-likelihood: Application to long-term care insurance," Insurance: Mathematics and Economics, Elsevier, vol. 52(3), pages 573-589.
   6. Boualem Djehiche & Bjorn Lofdahl, 2014. "Risk aggregation and stochastic claims reserving in disability insurance," Papers 1401.3589, arXiv.org, revised Aug 2014.
      • Djehiche, Boualem & Löfdahl, Björn, 2014. "Risk aggregation and stochastic claims reserving in disability insurance," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 100-108.
   7. Alexandre Boumezoued & Nicole El Karoui & Stéphane Loisel, 2015. "Measuring mortality heterogeneity with multi-state models and interval-censored data," Working Papers hal-01215350, HAL.
      • Boumezoued, Alexandre & Karoui, Nicole El & Loisel, Stéphane, 2017. "Measuring mortality heterogeneity with multi-state models and interval-censored data," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 67-82.
   8. Guibert, Quentin & Planchet, Frédéric, 2018. "Non-parametric inference of transition probabilities based on Aalen–Johansen integral estimators for acyclic multi-state models: application to LTC insurance," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 21-36.
   9. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.

7. Baione, Fabio & Levantesi, Susanna & Menzietti, Massimiliano, 2002. "The Development of an Optimal Bonus-Malus System in a Competitive Market," ASTIN Bulletin, Cambridge University Press, vol. 32(1), pages 159-170, May.

   Cited by:

   1. Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Post-Print halshs-02418950, HAL.
      • Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 85(4), pages 1083-1102, December.
   2. Dhiti Osatakul & Xueyuan Wu, 2021. "Discrete-Time Risk Models with Claim Correlated Premiums in a Markovian Environment," Risks, MDPI, vol. 9(1), pages 1-23, January.

Chapters

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