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Items where City Author is "Gerrard, R. J."

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Number of items: 16.

Article

Gerrard, R. J. G. ORCID: 0000-0002-8932-8752, Hiabu, M., Nielsen, J. P. ORCID: 0000-0002-2798-0817 & Vodička, P. (2020). Long-term real dynamic investment planning. Insurance: Mathematics and Economics, 92, pp. 90-103. doi: 10.1016/j.insmatheco.2020.03.002

Gerrard, R. J. G. ORCID: 0000-0002-8932-8752, Hiabu, M., Kyriakou, I. ORCID: 0000-0001-9592-596X & Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2019). Communication and personal selection of pension saver's financial risk. European Journal of Operational Research, 274(3), pp. 1102-1111. doi: 10.1016/j.ejor.2018.10.038

Gerrard, R. J. G. ORCID: 0000-0002-8932-8752, Hiabu, M., Kyriakou, I. ORCID: 0000-0001-9592-596X & Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2018). Self-selection and risk sharing in a modern world of lifelong annuities - Abstract of the London Discussion. British Actuarial Journal, 23(e29), doi: 10.1017/S1357321718000272

Gerrard, R. J. G. ORCID: 0000-0002-8932-8752, Hiabu, M., Kyriakou, I. ORCID: 0000-0001-9592-596X & Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2018). Self-selection and risk sharing in a modern world of life-long annuities. British Actuarial Journal, 23, doi: 10.1017/s135732171800020x

Ballotta, L., Gerrard, R. J. G. & Kyriakou, I. (2017). Hedging of Asian options under exponential Lévy models: computation and performance. The European Journal of Finance, 23(4), pp. 297-323. doi: 10.1080/1351847X.2015.1066694

Asimit, A.V., Gerrard, R. J. G., Yanxi, H. & Peng, L. (2016). Tail Dependence Measure for Examining Financial Extreme Co-movements. Journal of Econometrics, 194(2), pp. 330-348. doi: 10.1016/j.jeconom.2016.05.011

Asimit, A.V. & Gerrard, R. J. G. (2016). On the worst and least possible asymptotic dependence. Journal of Multivariate Analysis, 144, pp. 218-234. doi: 10.1016/j.jmva.2015.11.004

Boyko, V., Dubrovina, N., Zamyatin, P. , Gerrard, R. J. G., Savvi, S., Lazirskiy, V., Ghydetskyy, V., Sinelnikov, A., Zamiatin, D., Kolesnikova, O. & Shaprynskyy, E. (2015). Epidemiology and Forecast of the Prevalence of Esophageal Cancer in the Countries of Central and Eastern Europe. Procedia Economics and Finance, 24, pp. 93-100. doi: 10.1016/S2212-5671(15)00622-X

Boyko, V., Dubrovina, N., Zamiatin, P. , Gerrard, R. J. G., Gurov, A., Sushkov, S., Lazirskiy, V., Ivanova, Y. & Zamiatin, D. (2015). The Analysis of Injuries and Mortality Risks Level as a Result of Road Accident in Regions of the Central and Eastern Europe. International Journal of Managerial Studies and Research, 3(8), pp. 85-94.

Donnelly, C., Gerrard, R. J. G., Montserrat, G. & Nielsen, J. P. (2015). Less is more: increasing retirement gains by using an upside terminal wealth constraint. Insurance: Mathematics and Economics, 64, pp. 259-267. doi: 10.1016/j.insmatheco.2015.06.003

Gerrard, R. J. G., Guillén, M., Nielsen, J. P. & Pérez-Marín, A. M. (2014). Long-run savings and investment strategy optimization. The Scientific World Journal, 2014, 510531. doi: 10.1155/2014/510531

Gerrard, R. J. G. & Tsanakas, A. (2010). Failure Probability Under Parameter Uncertainty. Risk Analysis, 31(5), pp. 727-744. doi: 10.1111/j.1539-6924.2010.01549.x

Delong, L., Gerrard, R. J. G. & Haberman, S. (2008). Mean-variance optimization problems for an accumulation phase in a defined benefit plan. Insurance: Mathematics and Economics, 42(1), pp. 107-118. doi: 10.1016/j.insmatheco.2007.01.005

Gerrard, R. J. G., Haberman, S. & Vigna, E. (2006). The Management of Decumulation Risks in a Defined Contribution Pension Plan. North American Actuarial Journal, 10(1), pp. 84-110. doi: 10.1080/10920277.2006.10596241

Gerrard, R. J. G., Haberman, S. & Vigna, E. (2004). Optimal investment choices post-retirement in a defined contribution pension scheme. Insurance: Mathematics and Economics, 35(2 SPEC), doi: 10.1016/j.insmatheco.2004.06.002

Working Paper

Gerrard, R. J. G., Haberman, S. & Vigna, E. (2005). The management of de-cumulation risks in a defined contribution environment (Actuarial Research Paper No. 161). London, UK: Faculty of Actuarial Science & Insurance, City University London.

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