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This paper considers the pricing of equity-linked life insurance contracts with death and survival benefits in a general model with multiple stochastic risk factors: interest rate, equity, volatility, unsystematic and systematic mortality.
Hornik, K., Stinchcombe, M., White, H. et al. (1989), ‘Multilayer feedforward networks are universal approximators.’, Neural networks
1989
Earlier work this paper cites.
Heston, S. L. (1993), ‘A closed-form solution for options with stochastic volatility with applications to bond and currency options’, The review of financial studies
1993
Earlier work this paper cites.
Barles, G., Buckdahn, R. and Pardoux, E. (1997), ‘Backward stochastic differential equations and integral-partial differential equations’, Stochastics: An International Journal of Probability and Stochastic Processes
1997
Earlier work this paper cites.
McNeil, A. J., Frey, R. and Embrechts, P. (2005), Quantitative Risk Management: Concepts, Techniques and Tools-revised edition
2005
Earlier work this paper cites.
Palmer, B. (2006), ‘Equity-indexed annuities: Fundamental concepts and issues’, Work
2006
Earlier work this paper cites.
Brigo, D. and Mercurio, F. (2007), Interest rate models-theory and practice: with smile, inflation and credit
2007
Earlier work this paper cites.
Bauer, D., Kling, A. and Russ, J. (2008), ‘A universal pricing framework for guaranteed minimum benefits in variable annuities’, Astin Bulletin
2008
Earlier work this paper cites.
Luciano, E., Spreeuw, J. and Vigna, E. (2008), ‘Modelling stochastic mortality for dependent lives’, Insurance: Mathematics and Economics
2008
Earlier work this paper cites.
Luciano, E. and Vigna, E. (2008), ‘Mortality risk via affine stochastic intensities: calibration and empirical relevance’, Belgian Actuarial Bulletin
2008
Earlier work this paper cites.
Bayraktar, E., Milevsky, M. A., Promislow, S. D. and Young, V. R. (2009), ‘Valuation of mortality risk via the instantaneous sharpe ratio: applications to life annuities’, Journal of Economic Dynamics and Control
2009
Earlier work this paper cites.
Ait-Sahalia, Y. and Kimmel, R. L. (2010), ‘Estimating affine multifactor term structure models using closed-form likelihood expansions’, Journal of Financial Economics
2010
Earlier work this paper cites.
Grzelak, L. A., Oosterlee, C. W. and Van Weeren, S. (2011), ‘The affine heston model with correlated gaussian interest rates for pricing hybrid derivatives’, Quantitative Finance
2011
Earlier work this paper cites.
Luciano, E., Regis, L. and Vigna, E. (2012), ‘Delta–gamma hedging of mortality and interest rate risk’, Insurance: Mathematics and Economics
2012
Earlier work this paper cites.
Delong, Ł. (2013), Backward stochastic differential equations with jumps and their actuarial and financial applications
2013
Cited alongside, same era.
Haefeli, D. (2013), ‘Variable annuities-an analysis of financial stability’, The Geneva Association
2013
Cited alongside, same era.
Fung, M. C., Ignatieva, K. and Sherris, M. (2014), ‘Systematic mortality risk: An analysis of guaranteed lifetime withdrawal benefits in variable annuities’, Insurance: Mathematics and Economics
2014
Cited alongside, same era.
2014
Cited alongside, same era.
Pelsser, A. and Stadje, M. (2014), ‘Time-consistent and market-consistent evaluations’, Mathematical Finance: An International Journal of Mathematics, Statistics and Financial Economics
Dhaene, J., Stassen, B., Barigou, K., Linders, D. and Chen, Z. (2017), ‘Fair valuation of insurance liabilities: Merging actuarial judgement and market-consistency’, Insurance: Mathematics and Economics
2017
Later among the works it cites.
Liang, X. and Lu, Y. (2017), ‘Indifference pricing of a life insurance portfolio with risky asset driven by a shot-noise process’, Insurance: Mathematics and Economics
2017
Later among the works it cites.
Weinan, E., Han, J. and Jentzen, A. (2017), ‘Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations’, Communications in Mathematics and Statistics
2017
Later among the works it cites.
Han, J., Jentzen, A. and Weinan, E. (2018), ‘Solving high-dimensional partial differential equations using deep learning’, Proceedings of the National Academy of Sciences
2018
Later among the works it cites.
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2014
Cited alongside, same era.
2015
Cited alongside, same era.
Da Fonseca, J. and Ziveyi, J. (2015), ‘Valuing variable annuity guarantees on multiple assets’, Scandinavian Actuarial Journal
2015
Cited alongside, same era.
Dai, T.-S., Yang, S. S. and Liu, L.-C. (2015), ‘Pricing guaranteed minimum/lifetime withdrawal benefits with various provisions under investment, interest rate and mortality risks’, Insurance: Mathematics and Economics
2015
Cited alongside, same era.
Goodfellow, I., Bengio, Y. and Courville, A. (2016), Deep learning
2016
Cited alongside, same era.
Hejazi, S. A. and Jackson, K. R. (2016), ‘A neural network approach to efficient valuation of large portfolios of variable annuities’, Insurance: Mathematics and Economics
2016
Cited alongside, same era.
Ignatieva, K., Song, A. and Ziveyi, J. (2016), ‘Pricing and hedging of guaranteed minimum benefits under regime-switching and stochastic mortality’, Insurance: Mathematics and Economics
2016
Cited alongside, same era.
Li, D., Rong, X. and Zhao, H. (2016), ‘Optimal reinsurance and investment problem for an insurer and a reinsurer with jump-diffusion risk process under the heston model’, Computational and Applied Mathematics
2016
Cited alongside, same era.
Barigou, K., Chen, Z. and Dhaene, J. (2019), ‘Fair dynamic valuation of insurance liabilities: Merging actuarial judgement with market-and time-consistency’, Insurance: Mathematics and Economics
2019
Later among the works it cites.
Beck, C., Weinan, E. and Jentzen, A. (2019), ‘Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations’, Journal of Nonlinear Science
2019
Later among the works it cites.
Chan-Wai-Nam, Q., Mikael, J. and Warin, X. (2019), ‘Machine learning for semi linear pdes’, Journal of Scientific Computing
2019
Later among the works it cites.
Delong, Ł., Dhaene, J. and Barigou, K. (2019 a
2019
Later among the works it cites.
Delong, Ł., Dhaene, J. and Barigou, K. (2019 b
2019
Later among the works it cites.
Doyle, D. and Groendyke, C. (2019), ‘Using neural networks to price and hedge variable annuity guarantees’, Risks
2019
Later among the works it cites.
Gudkov, N., Ignatieva, K. and Ziveyi, J. (2019), ‘Pricing of guaranteed minimum withdrawal benefits in variable annuities under stochastic volatility, stochastic interest rates and stochastic mortality via the componentwise splitting method’, Quantitative Finance
2019
Later among the works it cites.
Russo, V. and Torri, G. (2019), ‘Calibration of one-factor and two-factor hull–white models using swaptions’, Computational Management Science
2019
Later among the works it cites.