Academic literature on the topic 'Longevity and mortality risk'
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Journal articles on the topic "Longevity and mortality risk"
Yue, Jack C. "Mortality Compression and Longevity Risk." North American Actuarial Journal 16, no. 4 (October 2012): 434–48. http://dx.doi.org/10.1080/10920277.2012.10597641.
Full textBlake, D., A. J. G. Cairns, and K. Dowd. "Living with Mortality: Longevity Bonds and Other Mortality-Linked Securities." British Actuarial Journal 12, no. 1 (March 1, 2006): 153–97. http://dx.doi.org/10.1017/s1357321700004736.
Full textWoo, G., C. J. Martin, C. Hornsby, and A. W. Coburn. "Prospective Longevity Risk Analysis." British Actuarial Journal 15, S1 (2009): 235–47. http://dx.doi.org/10.1017/s1357321700005584.
Full textLevantesi, Susanna, Andrea Nigri, and Gabriella Piscopo. "Longevity risk management through Machine Learning: state of the art." Insurance Markets and Companies 11, no. 1 (November 25, 2020): 11–20. http://dx.doi.org/10.21511/ins.11(1).2020.02.
Full textLin, Tzuling, and Cary Chi-Liang Tsai. "On the mortality/longevity risk hedging with mortality immunization." Insurance: Mathematics and Economics 53, no. 3 (November 2013): 580–96. http://dx.doi.org/10.1016/j.insmatheco.2013.08.006.
Full textDeng, Yinglu, Patrick L. Brockett, and Richard D. MacMinn. "Longevity/Mortality Risk Modeling and Securities Pricing." Journal of Risk and Insurance 79, no. 3 (February 8, 2012): 697–721. http://dx.doi.org/10.1111/j.1539-6975.2011.01450.x.
Full textWingenbach, Rachel, Jong-Min Kim, and Hojin Jung. "Living longer in high longevity risk." Journal of Demographic Economics 86, no. 1 (February 7, 2020): 47–86. http://dx.doi.org/10.1017/dem.2019.20.
Full textChoulli, Tahir, Catherine Daveloose, and Michèle Vanmaele. "Mortality/Longevity Risk-Minimization with or without Securitization." Mathematics 9, no. 14 (July 10, 2021): 1629. http://dx.doi.org/10.3390/math9141629.
Full textFung, Man Chung, Katja Ignatieva, and Michael Sherris. "Managing Systematic Mortality Risk in Life Annuities: An Application of Longevity Derivatives." Risks 7, no. 1 (January 3, 2019): 2. http://dx.doi.org/10.3390/risks7010002.
Full textHanewald, Katja, John Piggott, and Michael Sherris. "Individual post-retirement longevity risk management under systematic mortality risk." Insurance: Mathematics and Economics 52, no. 1 (January 2013): 87–97. http://dx.doi.org/10.1016/j.insmatheco.2012.11.002.
Full textDissertations / Theses on the topic "Longevity and mortality risk"
Hunt, A. "Mortality modelling and longevity risk management." Thesis, City University London, 2015. http://openaccess.city.ac.uk/13532/.
Full textAlrefai, Lila Ahmed. "Managing longevity risk for UK pension funds." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/17640.
Full textAtualmente, as entidades gestoras de fundos de pensões têm mostrado alguma preocupação em relação ao risco dos seus participantes viverem mais do que o inicialmente esperado, assim como em relação ao impacto desta situação nas reservas mantidas pelos fundos para pagamento de pensões a partir da reforma. Não é novidade para quem trabalha nesta área de negócios que as taxas de mortalidade têm vindo a decrescer nos últimos anos a um ritmo acelerado. Esta tendência é motivada pelas melhorias na área da saúde, avanços tecnológicos e na capacidade das empresas e consultores financeiros de anteciparem este risco e limitar os seus efeitos, Não existindo um mercado real para monitorizar e calcular o risco atribuído ao fato da população viver até mais tarde, várias pesquisas têm vindo a ser conduzidas de modo a conseguir gerir melhor este risco, ao qual chamamos risco de longevidade. Este trabalho explora o risco de longevidade no mercado de fundo de pensões do Reino Unido, no contexto de um estágio curricular numa grande consultora internacional, e introduz modelos estocásticos estudados no passado, relacionando os mesmos com algumas ferramentas e software relevantes. O principal objetivo deste relatório foi estudar as transações usadas tipicamente para gerir o risco de longevidade. Uma aplicação de um dos modelos estocásticos usando o software R é também usada para o propósito desta análise, assim como para estimar os parâmetros do modelo e usar os resultados como uma possível ilustração.
It is no news to anyone in this industry that mortality rates have been decreasing faster year by year. Such a trend is driven by health improvements, technological advances, and the ability of firms and investment advisers to anticipate risk and limit its effects. Since there is no real market per say to monitor or calculate that risk attributed with people living longer, research has been extensively conducted to manage such risk. This risk is called longevity risk and it directly affects the mortality assumptions set by the team of actuaries conducting a valuation. In this paper we explore longevity risk in the UK pension fund market, in the context of an internship at a major consultancy, and introduce stochastic based models that have been studied in the past, relating these to some relevant tools and software. We emphasize the importance of managing this risk and present innovations in recent years that are related to longevity risk. Several investment techniques / financial products are introduced within the research paper. The focus of this paper was on the transactions that are used typically to manage longevity risk. An application of one of the stochastic models is used using R software package for the purpose of our analysis, so as to estimate the parameters for that model and use the results as a possible illustration.
info:eu-repo/semantics/publishedVersion
Schupp, Johannes [Verfasser]. "Trend processes in mortality models and management of the longevity risk / Johannes Schupp." Ulm : Universität Ulm, 2020. http://d-nb.info/1212443667/34.
Full textBahl, Raj Kumari. "Mortality linked derivatives and their pricing." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25499.
Full textSteuten, Daniel [Verfasser], Antje [Akademischer Betreuer] Mahayni, and Peter [Akademischer Betreuer] Anker. "Stochastic Mortality Modelling and Management of Longevity Risk with Pricing and Reserving Applications to Annuity Products / Daniel Steuten. Gutachter: Peter Anker. Betreuer: Antje Mahayni." Duisburg, 2013. http://d-nb.info/1034029894/34.
Full textSilva, Fabiana Lopes da. "Impacto do risco de longevidade em planos de previdência complementar." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/12/12136/tde-29112010-182036/.
Full textThe evolution of increased life expectancy recorded in recent decades has been a significant achievement for the society and brought new challenges in various areas of human knowledge. Among those, living longer has impacted the technical balance of the pension plans. In the private pension entities, the timely identification of possible deviations from the assumption of mortality to the underlying reality is to ensure the solvency and the maintenance of long-term benefits. Thus, based on Lee-Carter method and approach CMI (Continuous Mortality Investigation Bureau), this study aims to estimate the factors of improvement (reduction factor of mortality) for the population covered by pension plans as well as analyze the impact of incorporating an estimated longer life expectancy on actuarial cash flow into a portfolio of defined benefits. Due to a lack of historical information about mortality tables of Brazil, the matching technique (propensity score) was used to identify the country which is the most similar to Brazil concerning relevant socioeconomic variables, in order to predict the evolution of life expectancy. This technique was applied on 21 OECD sample countries. Socioeconomic variables considered were: Fertility, GDP per capita, annual growth of GDP, Health, Unemployment, Gini, Illiteracy and Schooling. According to test results, Portugal was chosen as the basis for projections of mortality and acquisition of factors of improvement, due to the matching technique and the adherence test performed. Comparing the averages of the cash flows of the AT-2000 with and without improvement and taking into account the scenarios of interest rates of 3%, 4%, 5% and 6% a year, it was observed that not considering the improvement generates an increased actuarial flow between 7.15% and 10.51% for the simulated portfolio. The CMI method provided similar projection, and the impact varied from 7.05% to 10.32%. Even though the methods of improvement are quite different, it is important to emphasize that the results were much the same. One point that deserves concern is the issue of interest rate since, due to the declining trend in the long run more sensitive will be the impact of the projection of longevity risk. Additionally, those results were compared with the table Generational RP-2000 and BRTable SUSEP EMS. Thus, previous results show that not considering the trend of increasing life expectancy in the establishment of technical provisions can expose the private pension entities to a little bearable risk in the long term.
Mellkvist, Lars. "Den andres bröd : Levnadsrisk utifrån Lee-Cartermodellen." Thesis, Uppsala University, Department of Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9227.
Full textUnder det gångna århundradet ökade den förväntade livslängden avsevärt såväl i Sverige som i övriga världen. 1900-talets förbättrade livslängd drevs inledningsvis av en minskad barnadödlighet medan de senare årtiondena kännetecknades av minskad dödlighet i höga åldrar.
En åldrande befolkning innebär ökade krav på sjukvård, äldreomsorg och inte minst pensionssystem. Pålitliga prognoser för vår framtida livslängd behövs för att beräkna de resurser som nämnda verksamheter kommer att ta i anspråk och utgör förutsättningen för en rättvis prissättning av försäkringsprodukter med levnadsrisk.
Lee-Carter-modellen är en av vår tids tongivande modeller för mortalitetsprognostisering. Modellen används här för att göra livslängdsprognoser utifrån svenska mortalitetsdata; prognoserna jämförs sedan med observerade utfall.
Mot bakgrund av resultatet diskuteras levnadsrisk med fokus på pensioner.
Inte oväntat presterar prognoserna ingen felfri bild av verkligheten och prognosfelet varierar i storlek mellan skattningarna; att använda dem som underlag för pensionsberäkningar hade i förlängningen varit ohållbart. Exemplet illustrerar på samma gång vår osäkerhet inför framtidens livslängdsutveckling och svårigheten i att prognostisera den.
During the past century, Sweden along with many other countries experienced a sharp decline in mortality rates. The increased life expectancy was initially propelled by mortality reductions among infants and subsequently by a survival improvement in advanced ages.
An ageing population has large implications for those providing services to the elderly, such as medical care and pensions, whilst also addressing the need for accurate and reliable mortality forecasts and projection methods.
The Lee-Carter model is the current gold standard for mortality forecasting and has been widely adopted in several studies. Here, the model is applied on Swedish mortality data; the projections are then compared to the observed lifespan development. Against this backdrop, a discussion on longevity risk in pensions schemes follows.
The forecasts performed in this study do not perfectly reflect the observed mortality change in the examined period; furthermore, the variation of the estimation errors limits the actuarial value of the projections. The findings illuminate the uncertainty that surrounds our future life expectancy as well as the difficulties associated with forecasting it.
Lovász, Enrico. "Modellierung stochastischer Mortalitätsraten zur Verbriefung von Langlebigkeitsrisiken." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-81666.
Full textChen, Liang. "Small population bias and sampling effects in stochastic mortality modelling." Thesis, Heriot-Watt University, 2017. http://hdl.handle.net/10399/3372.
Full textHerculano, Miguel Colburn. "Modelling long-term worker´s compensation : an application to a general insurance company." Master's thesis, Último nome, Primeiro nome. data de publicação. "Título". Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6043.
Full textThis paper resumes the main findings from modeling life underwriting risks to which Worker´s Compensation is exposed. Models presented aim to shorten the path between ad hoc procedures in place and the new capital requirements foreseen by Solvency II. The legal framework of this line of business is primarily explained as it is determinant for modeling purposes. We then provide a discussion about risk models in use, major options, assumptions and other relevant issues that were regarded when modeling this line of business.
Books on the topic "Longevity and mortality risk"
Bhuyan, Vishaal B. Life markets: Trading mortality and longevity risk with life settlements and linked securities. Hoboken, N.J: John Wiley & Sons, 2009.
Find full textR, Brown Jeffrey. Mortality risk, inflation risk, and annuity products. Cambridge, MA: National Bureau of Economic Research, 2000.
Find full textVoĭtenko, V. P. Faktory smertnosti i prodolzhitelʹnostʹ zhizni. Kiev: Zdorov'i︠a︡, 1987.
Find full textMurphy, Kevin M. The value of health and longevity. Cambridge, MA: National Bureau of Economic Research, 2005.
Find full textHurd, Michael D. Mortality risk and consumption by couples. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textFriedberg, Leora. Life is cheap: Using mortality bonds to hedge aggregate mortality risk. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textFrijters, Paul. Socio-economic status, health shocks, life satisfaction and mortality: Evidence from an increasing mixed proportional hazard model. Bonn, Germany: IZA, 2005.
Find full textCropper, Maureen L. Valuing mortality risk reductions: Progress and challenges. Cambridge, MA: National Bureau of Economic Research, 2011.
Find full textStatistics Canada. Analytical Studies Branch. Mortality risk distributions: A life table analysis. S.l: s.n, 1988.
Find full textBook chapters on the topic "Longevity and mortality risk"
Kovács, Erzsébet, and Péter Vékás. "Mortality and Longevity Risk." In The Palgrave Handbook of Unconventional Risk Transfer, 269–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59297-8_9.
Full textBooth, Heather. "Coherent Mortality Forecasting with Standards: Low Mortality Serves as a Guide." In Developments in Demographic Forecasting, 153–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42472-5_8.
Full textZhang, Ning. "Introduction and Computation of Longevity Risk Index Based on Mortality Rate Decomposition Model." In Communications in Computer and Information Science, 608–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31968-6_72.
Full textJonsson, Bror, and Nina Jonsson. "Recruitment, Mortality and Longevity." In Ecology of Atlantic Salmon and Brown Trout, 415–71. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1189-1_8.
Full textAnderson, Douglas, and Steven Baxter. "Longevity Risk Transfer." In The Palgrave Handbook of Unconventional Risk Transfer, 375–434. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59297-8_13.
Full textDe Rosa, Clemente, Elisa Luciano, and Luca Regis. "International Longevity Risk Pooling." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 317–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89824-7_57.
Full textViscusi, W. Kip. "Risk-Risk Analysis." In The Mortality Costs of Regulatory Expenditures, 5–17. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1360-1_1.
Full textCeylan, Elif, and Seher A. Tezergil. "Longevity Risk in Life Insurance." In New Challenges in Banking and Finance, 87–104. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66872-7_8.
Full textMilevsky, Moshe Arye. "Exotic Annuities for Longevity Risk." In Retirement Income Recipes in R, 281–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51434-1_14.
Full textCoughlan, Guy, David Blake, Richard MacMinn, Andrew J. G. Cairns, and Kevin Dowd. "Longevity Risk and Hedging Solutions." In Handbook of Insurance, 997–1035. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-0155-1_34.
Full textConference papers on the topic "Longevity and mortality risk"
Zhang, Ning. "The modified mortality decomposition model and its application in the China longevity risk analysis." In 2nd International Conference on Computer and Information Applications (ICCIA 2012). Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/iccia.2012.362.
Full textQin, Shang, and Zhang Guozhong. "Longevity risk management for government pension fund: Longevity bonds design." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6702972.
Full textShang, Qin, and Xuezhi Qin. "Securitization of Longevity Risk in Pension Annuities." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2285.
Full textZheng, Chengli, and Ting He. "Pricing Longevity Bonds Based on Stochastic Mortality Forecasting by Panel Data Procedures." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.83.
Full textKozubík, Aleš. "LONGEVITY RISK IN THE LIFE INSURANCE MARKET OF THE V4 COUNTRIES." In 2nd International Scientific Conference - Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia; Faculty of Management Koper, Slovenia; Doba Business School - Maribor, Slovenia; Integrated Business Faculty - Skopje, Macedonia; Faculty of Management - Zajecar, Serbia, 2018. http://dx.doi.org/10.31410/eman.2018.213.
Full textHu, Shiqiang. "Longevity Risk and Capital Accumulation under the Current China Pension System." In 2013 Sixth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2013. http://dx.doi.org/10.1109/bife.2013.67.
Full textSullivan, SD, MD Eisner, JD Campbell, and TA Omachi. "Risk of Mortality Associated with Asthma Exacerbation." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a4770.
Full textSocher, Roni, and Haesoon Lee. "Risk Factors For Mortality In Congenital Tuberculosis." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a5464.
Full textGAVRILOV, LEONID A., and NATALIA S. GAVRILOVA. "MATTERS OF LIFE AND DEATH: WHAT CAN WE LEARN ABOUT AGING FROM MORTALITY AND LONGEVITY STUDIES?" In HOMO SAPIENS LIBERATUS. TORUS PRESS, 2020. http://dx.doi.org/10.30826/homosapiens-2020-16.
Full textRabl, Ari. "Mortality due to air pollution: how to interpret the results." In Environmental Health Risk 2001. Southampton, UK: WIT Press, 2001. http://dx.doi.org/10.2495/ehr010051.
Full textReports on the topic "Longevity and mortality risk"
Brown, Jeffrey, Olivia Mitchell, and James Poterba. Mortality Risk, Inflation Risk, and Annuity Products. Cambridge, MA: National Bureau of Economic Research, July 2000. http://dx.doi.org/10.3386/w7812.
Full textGan, Li, Guan Gong, Michael Hurd, and Daniel McFadden. Subjective Mortality Risk and Bequests. Cambridge, MA: National Bureau of Economic Research, September 2004. http://dx.doi.org/10.3386/w10789.
Full textHurd, Michael. Mortality Risk and Consumption by Couples. Cambridge, MA: National Bureau of Economic Research, March 1999. http://dx.doi.org/10.3386/w7048.
Full textFriedberg, Leora, and Anthony Webb. Life is Cheap: Using Mortality Bonds to Hedge Aggregate Mortality Risk. Cambridge, MA: National Bureau of Economic Research, January 2006. http://dx.doi.org/10.3386/w11984.
Full textMullin, Charles, and Tomas Philipson. The Future of Old-Age Longevity: Competitive Pricing of Mortality Contingent Claims. Cambridge, MA: National Bureau of Economic Research, May 1997. http://dx.doi.org/10.3386/w6042.
Full textPoulain, Michel, Dany Chambre, Pino Ledda, and Anne Herm. Marital fertility decline and child mortality in the Sardinian longevity Blue Zone. Verlag der Österreichischen Akademie der Wissenschaften, September 2020. http://dx.doi.org/10.1553/populationyearbook2020.res05.
Full textCropper, Maureen, James Hammitt, and Lisa Robinson. Valuing Mortality Risk Reductions: Progress and Challenges. Cambridge, MA: National Bureau of Economic Research, April 2011. http://dx.doi.org/10.3386/w16971.
Full textAmin, Sajeda, and Alaka Basu. Popular perceptions of emerging influences on mortality and longevity in Bangladesh and West Bengal. Population Council, 2004. http://dx.doi.org/10.31899/pgy2.1013.
Full textBauer, Daniel, Darius Lakdawalla, and Julian Reif. Mortality Risk, Insurance, and the Value of Life. Cambridge, MA: National Bureau of Economic Research, September 2018. http://dx.doi.org/10.3386/w25055.
Full textLichtenberg, Frank. The Quality of Medical Care, Behavioral Risk Factors, and Longevity Growth. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15068.
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