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Aggarwal, A., Beck, M. B., Cann, M., Ford, T., Georgescu, D., Morjaria, N., Smith, A., Taylor, Y., Tsanakas, A., Witts, L. & Ye, I. (2016). Model risk – daring to open up the black box. British Actuarial Journal, 21(2), pp. 229-296. doi: 10.1017/S1357321715000276

Asanga, S., Asimit, A.V., Badescu, A. & Haberman, S. (2014). Portfolio Optimization under Solvency Constraints: A Dynamical Approach. North American Actuarial Journal, 18(3), pp. 394-416. doi: 10.1080/10920277.2014.910127

Ashwell, M., Mayhew, L., Richardson, J. & Rickayzen, B. D. (2014). Waist-to-Height Ratio Is More Predictive of Years of Life Lost than Body Mass Index. PLoS One, 9(9), e103483 - ?. doi: 10.1371/journal.pone.0103483

Asimit, A.V. & Badescu, A. (2010). Extremes on the discounted aggregate claims in a time dependent risk model. Scandinavian Actuarial Journal(2), pp. 93-104. doi: 10.1080/03461230802700897

Asimit, A.V., Badescu, A. & Cheung, K. C. (2013). Optimal reinsurance in the presence of counterparty default risk. Insurance: Mathematics and Economics, 53(3), pp. 690-697. doi: 10.1016/j.insmatheco.2013.09.012

Asimit, A.V., Badescu, A., Haberman, S. & Kim, E-S. (2016). Efficient risk allocation within a non-life insurance group under Solvency II Regime. Insurance: Mathematics and Economics, 66, pp. 69-76. doi: 10.1016/j.insmatheco.2015.10.008

Asimit, A.V., Badescu, A., Siu, T. K. & Zinchenko, Y. (2015). Capital Requirements and Optimal Investment with Solvency Probability Constraints. IMA Journal of Management Mathematics, 26(4), pp. 345-375. doi: 10.1093/imaman/dpt029

Asimit, A.V., Badescu, A. & Tsanakas, A. (2013). Optimal Risk Transfers in Insurance Groups. European Actuarial Journal, 3(1), pp. 159-190. doi: 10.1007/s13385-013-0068-6

Asimit, A.V., Badescu, A. & Verdonck, T. (2013). Optimal risk transfer under quantile-based risk measurers. Insurance: Mathematics and Economics, 53(1), pp. 252-265. doi: 10.1016/j.insmatheco.2013.05.005

Asimit, A.V., Bignozzi, V., Cheung, K. C., Hu, J. & Kim, E. (2017). Robust and Pareto Optimality of Insurance Contract. European Journal of Operational Research, 262(2), pp. 720-732. doi: 10.1016/j.ejor.2017.04.029

Asimit, A.V. & Chen, Y. (2015). Asymptotic results for conditional measures of association of a random sum. Insurance: Mathematics and Economics, 60, pp. 11-18. doi: 10.1016/j.insmatheco.2014.10.012

Asimit, A.V., Chi, Y. & Hu, J. (2015). Optimal non-life reinsurance under Solvency II Regime. Insurance: Mathematics and Economics, 65, pp. 627-637. doi: 10.1016/j.insmatheco.2015.09.006

Asimit, A.V., Furman, E., Tang, Q. & Vernic, R. (2011). Asymptotics for risk capital allocations based on Conditional Tail Expectation. Insurance: Mathematics and Economics, 49(3), pp. 310-324. doi: 10.1016/j.insmatheco.2011.05.002

Asimit, A.V., Furman, E. & Vernic, R. (2010). On a multivariate Pareto distribution. Insurance: Mathematics and Economics, 46(2), pp. 308-316. doi: 10.1016/j.insmatheco.2009.11.004

Asimit, A.V., Furman, E. & Vernic, R. (2016). Statistical Inference for a New Class of Multivariate Pareto Distributions. Communications in Statistics: Simulation and Computation, 45(2), pp. 456-471. doi: 10.1080/03610918.2013.861627

Asimit, A.V., Gao, T., Hu, J. & Kim, E. (2016). Optimal Risk Transfer: A Numerical Optimisation Approach. .

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

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., Hashorva, E. & Kortschak, D. (2015). Aggregation of randomly weighted large risks. IMA Journal of Management Mathematics, doi: 10.1093/imaman/dpv020

Asimit, A.V., Hashorva, E. & Kortschak, D. Tail asymptotics of randomly weighted large risks.

Asimit, A.V. & Jones, B. (2008). Asymptotic tail probabilities for large claims reinsurance of a portfolio of dependent risks. ASTIN Bulletin, 38(1), pp. 147-159. doi: 10.2143/AST.38.1.2030407

Asimit, A.V. & Jones, B. (2008). Dependence and the asymptotic behavior of large claims reinsurance. Insurance: Mathematics and Economics, 43(3), pp. 407-411. doi: 10.1016/j.insmatheco.2008.08.007

Asimit, A.V. & Jones, B. (2007). Extreme behavior of bivariate elliptical distributions. Insurance: Mathematics and Economics, 41(1), pp. 53-61. doi: 10.1016/j.insmatheco.2006.09.002

Asimit, A.V. & Jones, B. (2007). Extreme behavior of multivariate phase-type distributions. Insurance: Mathematics and Economics, 41(2), pp. 223-233. doi: 10.1016/j.insmatheco.2006.10.016

Asimit, A.V., Li, D. & Peng, L. (2010). Pitfalls in using Weibull tailed distributions. Journal of Statistical Planning and Inference, 140(7), pp. 2018-2024. doi: 10.1016/j.jspi.2010.01.039

Asimit, A.V. & Li, J. (2016). Extremes for coherent risk measures. Insurance: Mathematics and Economics, 71, pp. 332-341. doi: 10.1016/j.insmatheco.2016.10.003

Asimit, A.V. & Li, J. (2017). Systemic Risk: An Asymptotic Evaluation. .

Asimit, A.V., Vernic, R. & Zitikis, R. (2016). Background Risk Models and Stepwise Portfolio Construction. Methodology and Computing in Applied Probability, 18(3), pp. 805-827. doi: 10.1007/s11009-015-9458-3

Asimit, A.V., Vernic, R. & Zitikis, R. (2013). Evaluating Risk Measures and Capital Allocations Based on Multi-Losses Driven by a Heavy-Tailed Background Risk: The Multivariate Pareto-II Model. Risks, 1(1), pp. 14-33. doi: 10.3390/risks1010014

Bacinello, A. R., Millossovich, P. & Montealegre, A. (2014). The valuation of GMWB variable annuities under alternative fund distributions and policyholder behaviours. Scandiavian Actuarial Journal, 2016(5), pp. 446-465. doi: 10.1080/03461238.2014.954608

Bacinello, A.R., Olivieri, A., Millossovich, P. & Pitacco, E. (2010). Variable Annuities: Risk Identification and Risk Assessment (Report No. CAREFIN Research Paper No. 14/2010). Milan, Italy: BAFFI CAREFIN, Bocconi University.

Biffis, E., Blake, D., Pitotti, L. & Sun, A. (2016). The Cost of Counterparty Risk and Collateralization in Longevity Swaps. Journal Of Risk And Insurance, 83(2), pp. 387-419. doi: 10.1111/jori.12055

Biffis, E. & Millossovich, P. (2011). Optimal Insurance with Counterparty Default Risk. SSRN.

Bignozzi, V. & Tsanakas, A. (2013). Characterization and Construction of Sequentially Consistent Risk Measures. SSRN.

Bignozzi, V. & Tsanakas, A. (2016). Model uncertainty in risk capital measurement. Journal of Risk, 18(3), pp. 1-24.

Bignozzi, V. & Tsanakas, A. (2016). Parameter uncertainty and residual estimation risk. Journal of Risk and Insurance, 83(4), pp. 949-978. doi: 10.1111/jori.12075

Bignozzi, Valeria (2012). Contributions to solvency risk measurement. (Unpublished Doctoral thesis, City University London)

Bjorkwall, S., Hossjer, O., Ohlsson, E. & Verrall, R. J. (2011). A generalized linear model with smoothing effects for claims reserving. Insurance: Mathematics and Economics, 49(1), pp. 27-37. doi: 10.1016/j.insmatheco.2011.01.012

Black, R., Tsanakas, A., Smith, A., Beck, M. B., Maclugash, I. D., Grewal, J., Witts, L., Morjaria, N., Green, R. & Lim, Z. (2017). Model risk: illuminating the black box. British Actuarial Journal, doi: 10.1017/S1357321717000150

Blake, D. (2016). Independent Review of Retirement Income Report: We Need a National Narrative: Building a Consensus around Retirement Income. UK: Independent Review of Retirement Income.

Boonen, T. J., Tsanakas, A. & Wuethrich, M. V. (2017). Capital allocation for portfolios with non-linear risk aggregation. Insurance: Mathematics and Economics, 72, pp. 95-106. doi: 10.1016/j.insmatheco.2016.11.003

Boyer, M. M. & Owadally, I. (2015). Underwriting Apophenia and Cryptids: Are Cycles Statistical Figments of our Imagination?. The Geneva Papers on Risk and Insurance - Issues and Practice, 40(2), pp. 232-255. doi: 10.1057/gpp.2014.12

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.

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

Brunovsky, P., Černý, A. & Winkler, M. (2013). A Singular Differential Equation Stemming from an Optimal Control Problem in Financial Economics. Applied Mathematics & Optimization, 68(2), pp. 255-274. doi: 10.1007/s00245-013-9205-5

Bräutigam, M., Guillén, M. & Nielsen, J. P. (2017). Facing Up to Longevity with Old Actuarial Methods: A Comparison of Pooled Funds and Income Tontines. Geneva Papers on Risk and Insurance: Issues and Practice, 42(3), pp. 406-422. doi: 10.1057/s41288-017-0056-1

Butt, Z. (2014). A Study of Actuarial Models for Insurance Based Applications. (Unpublished Doctoral thesis, City, University of London)

Butt, Z., Haberman, S., Verrall, R. J. & Wass, V. (2008). Calculating compensation for loss of future earnings: estimating and using work life expectancy. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(4), pp. 763-805. doi: 10.1111/j.1467-985X.2007.00539.x

Cannon, E. (2016). Independent Review of Retirement Income: Consultation. UK: Independent Review of Retirement Income.

Chen, A. (2017). The impact of behavioral factors on annuitisation decisions and decumulation strategies. (Unpublished Doctoral thesis, City, University of London)

Chen, A., Haberman, S. & Thomas, S. (2017). Why the deferred annuity makes sense - an application of hyperbolic discounting to the annuity puzzle. Paper presented at the International Actuarial Association Life Colloquium, 23-24 Oct 2017, Barcelona, Spain.

Cowell, R. (2009). Efficient maximum likelihood pedigree reconstruction. Theoretical Population Biology, 76(4), pp. 285-291. doi: 10.1016/j.tpb.2009.09.002

Cowell, R. (2009). Validation of an STR peak area model. Forensic Science International: Genetics, 3(3), pp. 193-199. doi: 10.1016/j.fsigen.2009.01.006

Cowell, R. (2013). A simple greedy algorithm for reconstructing pedigrees. Theoretical Population Biology, 83, pp. 55-63. doi: 10.1016/j.tpb.2012.11.002

Cowell, R., Graversen, T., Lauritzen, S. L. & Mortera, J. (2014). Analysis of forensic DNA mixtures with artefacts. Journal of the Royal Statistical Society. Series C: Applied Statistics, doi: 10.1111/rssc.12071

Cowell, R., Lauritzen, S. L. & Mortera, J. (2011). Probabilistic expert systems for handling artifacts in complex DNA mixtures. Forensic Science International: Genetics, 5(3), pp. 202-209. doi: 10.1016/j.fsigen.2010.03.008

Cowell, R. & Smith, J.Q. (2014). Causal discovery through MAP selection of stratified chain event graphs. Electronic Journal of Statistics, 8(1), pp. 965-997. doi: 10.1214/14-E4S917

D'Amato, V., Haberman, S. & Piscopo, G. (2017). The dependency premium based on a multifactor model for dependent mortality data. Communications in Statistics - Theory and Methods,

D'Amato, V., Haberman, S., Piscopo, G. & Russolillo, M. (2014). Computational framework for longevity risk management. Computational Management Science, 11(1), pp. 111-137. doi: 10.1007/s10287-013-0178-2

D'Amato, V., Haberman, S., Piscopo, G., Russolillo, M. & Trapani, L. (2014). Detecting Common Longevity Trends by a Multiple Population Approach. North American Actuarial Journal, 18(1), pp. 139-149. doi: 10.1080/10920277.2013.875884

D'Amato, V., Haberman, S., Piscopo, G., Russolillo, M. & Trapani, L. (2016). Multiple mortality modeling in Poisson Lee-Carter framework. Communications in Statistics - Theory and Methods, 45(6), pp. 1723-1732. doi: 10.1080/03610926.2014.960580

D'Amato, V., di Lorenzo, E., Haberman, S., Russolillo, M. & Sibillo, M. (2011). The Poisson Log-Bilinear Lee-Carter Model: Applications Of efficient bootstrap methods to annuity analyses. North American Actuarial Journal, 15(2), pp. 315-333. doi: 10.1080/10920277.2011.10597623

Danesi, I. L., Haberman, S. & Millossovich, P. (2015). Forecasting mortality in subpopulations using Lee-Carter type models: A comparison. Insurance: Mathematics and Economics, 62, pp. 151-161. doi: 10.1016/j.insmatheco.2015.03.010

Debon, A., Chaves, L., Haberman, S. & Villa, F. (2017). Characterization of between-group inequality of longevity in European Union countries. Insurance: Mathematics and Economics, 75, pp. 151-165. doi: 10.1016/j.insmatheco.2017.05.005

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

Denuit, M., Haberman, S. & Renshaw, A. E. (2015). Longevity-contingent deferred life annuities. Journal of Pension Economics and Finance, 14(3), pp. 315-327. doi: 10.1017/S147474721400050X

Denuit, M., Haberman, S. & Renshaw, A. E. (2015). Longevity-contingent deferred life annuities. Journal of Pension Economics and Finance, 14(3), pp. 315-327. doi: 10.1017/S147474721400050X

Dhaene, J., Tsanakas, A., Valdez, E. A. & Vanduffel, S. (2012). Optimal Capital Allocation Principles. Journal of Risk and Insurance, 79(1), pp. 1-28. doi: 10.1111/j.1539-6975.2011.01408.x

Dimitrova, D. S., Haberman, S. & Kaishev, V. K. (2013). Dependent competing risks: Cause elimination and its impact on survival. Insurance: Mathematics and Economics, 53(2), pp. 464-477. doi: 10.1016/j.insmatheco.2013.07.008

Dimitrova, D. S., Ignatov, Z. G. & Kaishev, V. K. (2017). On the First Crossing of Two Boundaries by an Order Statistics Risk Process. Risks, 5(3), 43.. doi: 10.3390/risks5030043

Dimitrova, D. S., Ignatov, Z. G. & Kaishev, V. K. (2015). Ruin and deficit at ruin under an extended order statistics risk process. Paper presented at the IME 2015, 24-26 Jun 2015, Liverpool, UK.

Dimitrova, D. S. & Kaishev, V. K. (2010). Optimal joint survival reinsurance: An efficient frontier approach. INSURANCE MATHEMATICS & ECONOMICS, 47(1), doi: 10.1016/j.insmatheco.2010.03.006

Dimitrova, D. S., Kaishev, V. K. & Haberman, S. (2014). Research Excellence Framework (REF).

Dimitrova, D. S., Kaishev, V. K., Lattuada, L. & Verrall, R. J. (2017). Geometrically Designed Variable Knot Splines in Generalized (Non-)Linear Models. .

Dimitrova, D. S., Kaishev, V. K. & Tan, S. (2017). Computing the Kolmogorov-Smirnov Distribution when the Underlying cdf is Purely Discrete, Mixed or Continuous. .

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2015). Modeling Finite-Time Failure Probabilities in Risk Analysis Applications. Risk Analysis, 35(10), pp. 1919-1939. doi: 10.1111/risa.12384

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2016). On the evaluation of finite-time ruin probabilities in a dependent risk model. Applied Mathematics and Computation, 275, pp. 268-286. doi: 10.1016/j.amc.2015.11.082

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

Donnelly, C., Guillén, M., Nielsen, J. P. & Pérez-Marín, A. M. (2017). Implementing individual savings decisions for retirement with bounds on wealth. ASTIN Bulletin,

Emms, P. & Haberman, S. (2008). Income drawdown schemes for a defined-contribution pension plan. Journal Of Risk And Insurance, 75(3), pp. 739-761. doi: 10.1111/j.1539-6975.2008.00282.x

England, P. D., Verrall, R. J. & Wüthrich, M. V. (2012). Bayesian Overdispersed Poisson Model and the Bornhuetter-Ferguson Claim Reserving Method. Annals of Actuarial Science, 6(2), pp. 258-283. doi: 10.1017/S1748499512000012

Fusai, G. & Kyriakou, I. (2016). General optimized lower and upper bounds for discrete and continuous arithmetic Asian options. Mathematics of Operations Research, 41(2), pp. 531-559. doi: 10.1287/moor.2015.0739

Gavranovic, Nedim (2011). Optimal asset allocation and annuitisation in a defined contribution pension scheme. (Unpublished Doctoral thesis, City University London)

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

Godínez-Olivares, H., Boado-Penas, M. D. C. & Haberman, S. (2016). Optimal strategies for pay-as-you-go pension finance: A sustainability framework. Insurance: Mathematics and Economics, 69, pp. 117-126. doi: 10.1016/j.insmatheco.2016.05.001

Gonzalez-Manteiga, W, Borrajo, MI & Martinez-Miranda, M. D. (2017). Bandwidth selection for kernel density estimation with length-biased data. Journal of Nonparametric Statistics, 29(3), pp. 636-668. doi: 10.1080/10485252.2017.1339309

González-Manteiga, W., Martinez-Miranda, M. D. & Van Keilegom, I. (2016). Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution. Biometrika, 103(1), pp. 133-146. doi: 10.1093/biomet/asv061

Guillén, M., Jarner, S. F., Nielsen, J. P. & Pérez-Marín, A. M. (2014). Risk-adjusted impact of administrative costs on the distribution of terminal wealth for long-term investment. Scientific World Journal, 2014, 521074 - ?. doi: 10.1155/2014/521074

Gámiz Pérez, M. L., Janys, L., Martinez-Miranda, M. D. & Nielsen, J. P. (2013). Bandwidth selection in marker dependent kernel hazard estimation. Computational Statistics and Data Analysis, 68, pp. 155-169. doi: 10.1016/j.csda.2013.06.010

Gámiz Pérez, M. L., Mammen, E., Miranda, M. D. M. & Nielsen, J. P. (2016). Double one-sided cross-validation of local linear hazards. Journal of the Royal Statistical Society: Series B, 78(4), pp. 755-779. doi: 10.1111/rssb.12133

Gámiz Pérez, M. L., Martinez-Miranda, M. D. & Nielsen, J. P. (2013). Smoothing survival densities in practice. Computational Statistics and Data Analysis, 58(1), pp. 368-382. doi: 10.1016/j.csda.2012.09.011

Haberman, S., Denuit, M. & Renshaw, A. E. (2013). Approximations for quantiles of life expectancy and annuity values using the parametric improvement rate approach for modelling and projecting mortality. European Actuarial Journal, 3(1), pp. 191-201. doi: 10.1007/s13385-013-0065-9

Haberman, S., Khalaf-Allah, M.A.E. & Verrall, R. J. (2011). Entropy, longevity and the cost of annuities. Insurance: Mathematics and Economics, 48(2), pp. 197-204. doi: 10.1016/j.insmatheco.2010.10.005

Haberman, S., Ntamjokouen, A. & Consigli, G. (2017). Projecting the long run relationship of multi-population life expectancy by race. Journal of Statistical and Econometric Methods, 6(2), pp. 43-68.

Haberman, S. & Renshaw, A. E. (2013). Modelling and projecting mortality improvement rates using a cohort perspective. Insurance: Mathematics and Economics, 53(1), pp. 150-168. doi: 10.1016/j.insmatheco.2013.04.006

Haberman, S. & Renshaw, A. E. (2009). On age-period-cohort parametric mortality rate projections. Insurance: Mathematics and Economics, 45(2), pp. 255-270. doi: 10.1016/j.insmatheco.2009.07.006

Haberman, S. & Vigna, E. (2002). Optimal investment strategies and risk measures in defined contribution pension schemes. Insurance: Mathematics and Economics, 31(1), pp. 35-69. doi: 10.1016/S0167-6687(02)00128-2

Haberman, S. & Zimbidis, A. (2002). An Investigation of the Pay-As-You-Go Financing Method Using a Contingency Fund and Optimal Control Techniques. North American Actuarial Journal, 6(2), pp. 60-75. doi: 10.1080/10920277.2002.10596044

Haibu, M., Margraf, C., Miranda, M. D. M. & Nielsen, J. P. (2016). Cash flow generalisations of non-life insurance expert systems estimating outstanding liabilities. Expert Systems with Applications, 45, pp. 400-409. doi: 10.1016/j.eswa.2015.09.021

Haibu, M., Margraf, C., Miranda, M. D. M. & Nielsen, J. P. (2016). The Link Between Classical Reserving and Granular Reserving Through Double Chain Ladder and its Extensions. British Actuarial Journal, 21(1), pp. 97-116. doi: 10.1017/S1357321715000288

Harper, G. & Mayhew, L. (2012). Applications of Population Counts Based on Administrative Data at Local Level. Applied Spatial Analysis and Policy, 5(3), pp. 183-209. doi: 10.1007/s12061-011-9062-z

Harper, G. & Mayhew, L. (2012). Using Administrative Data to Count Local Populations. Applied Spatial Analysis and Policy, 5(2), pp. 97-122. doi: 10.1007/s12061-011-9063-y

Harper, G. & Mayhew, L. (2016). Using Administrative Data to Count and Classify Households with Local Applications. Applied Spatial Analysis and Policy, 9(4), pp. 433-462. doi: 10.1007/s12061-015-9162-2

Haslip, G. G. & Kaishev, V. K. (2014). Lookback option pricing using the Fourier transform B-spline method. Quantitative Finance, 14(5), pp. 789-803. doi: 10.1080/14697688.2014.882010

Haslip, G. G. & Kaishev, V. K. (2015). A Novel Fourier Transform B-spline Method for Option Pricing. Journal of Computational Finance, 19(1), pp. 41-74.

Haslip, G. G. & Kaishev, V. K. (2010). Pricing of reinsurance contracts in the presence of catastrophe bonds. ASTIN Bulletin, 40(1), pp. 307-329. doi: 10.2143/AST.40.1.2049231

Hatzopoulos, P. & Haberman, S. (2013). Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data. Insurance: Mathematics and Economics, 52(2), pp. 320-337. doi: 10.1016/j.insmatheco.2012.12.009

Hatzopoulos, P. & Haberman, S. (2013). Common mortality modelling and coherent forecasts. An empirical analysis of worldwide mortality data. Insurance: Mathematics and Economics, 52(2), pp. 320-337. doi: 10.1016/j.insmatheco.2013.10.009

Hatzopoulos, P. & Haberman, S. (2015). Modeling trends in cohort survival probabilities. Insurance: Mathematics and Economics, 64, pp. 162-179. doi: 10.1016/j.insmatheco.2015.05.009

Hiabu, M. (2016). On the relationship between classical chain ladder and granular reserving. Scandinavian Actuarial Journal, doi: 10.1080/03461238.2016.1240709

Hiabu, M., Miranda, M. D. M., Nielsen, J. P., Spreeuw, J., Tanggaard, C. & Villegas, A. (2015). Global Polynomial Kernel Hazard Estimation. Revista Colombiana de Estadística, 38(2), pp. 399-411. doi: 10.15446/rce.v38n2.51668

Hiabu, Munir (2016). In-sample forecasting: structured models and reserving. (Unpublished Doctoral thesis, City, University of London)

Hunt, A. (2015). Mortality modelling and longevity risk management. (Unpublished Doctoral thesis, City University London)

Ignatov, Z. G. & Kaishev, V. K. (2011). Finite Time Non-Ruin Probability Formulae for Erlang Claim Interarrivals and Continuous Interdependent Claim Severities. Stochastics: An International Journal of Probability and Stochastic Processes, 84(4), pp. 461-485. doi: 10.1080/17442508.2011.615932

Ignatov, Z. G. & Kaishev, V. K. (2016). First crossing time, overshoot and Appell-Hessenberg type functions. Stochastics: An International Journal of Probability and Stochastic Processes, 88(8), pp. 1240-1260. doi: 10.1080/17442508.2016.1230613

Jarzabkowski, P., Bednarek, G., Burke, G. & Cabantous, L. (2012). Beyond Borders: Charting the Changing Global Reinsurance Landscape. Cass Business School, City University London.

Jarzabkowski, P., Smets, M. & Spee, A. P. (2010). Trading risks: The value of relationships, models and face-to-face interaction in the global reinsurance market. Aston University.

Kaishev, V. K. (2013). Lévy processes induced by Dirichlet (B-) splines: modelling multivariate asset price dynamics. Mathematical Finance, 23(2), pp. 217-247. doi: 10.1111/j.1467-9965.2011.00504.x

Kaishev, V. K. & Dimitrova, D. S. (2009). Dirichlet Bridge Sampling for the Variance Gamma Process: Pricing Path-Dependent Options.. Management Science, 55, pp. 483-496. doi: 10.1287/mnsc.1080.0953

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2006). Geometrically Designed, Variable Knot Regression Splines: Asymptotics and Inference (Report No. Statistical Research Paper No. 28). Cass Business School, City University, London.

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2016). Geometrically designed, variable knot regression splines. Computational Statistics, 31(3), pp. 1079-1105. doi: 10.1007/s00180-015-0621-7

Kaishev, V. K., Dimitrova, D. S. & Ignatov, Z. G. (2008). Operational risk and insurance: a ruin probabilistic reserving approach. JOURNAL OF OPERATIONAL RISK, 3(3),

Kaishev, V. K., Nielsen, J. P. & Thuring, F. (2013). Optimal customer customer selection for cross-selling of financial services products. Expert Systems with Applications, 40(5), pp. 1748-1757. doi: 10.1016/j.eswa.2012.09.026

Kenny, T., Barnfield, J., Daly, L., Dunn, A., Passey, D., Rickayzen, B. D. & Teow, A. (2017). The future of social care funding: who pays?. British Actuarial Journal, 22(1), pp. 10-44. doi: 10.1017/S135732171600012X

Khalaf-Allah, M.A.E. (2007). Stochastic analysis of longevity and investment risk in the context of life annuities. (Unpublished Doctoral thesis, City University London)

Khalil, D. (2006). Dynamic pension funding models. (Unpublished Doctoral thesis, City University London)

Kim, E-S. & Glass, C. (2015). Perfect periodic scheduling for binary tree routing in wireless networks. European Journal of Operational Research, 247(2), pp. 389-400. doi: 10.1016/j.ejor.2015.05.031

Kim, E-S. & Glass, C. (2014). Perfect periodic scheduling for three basic cycles. Journal of Scheduling, 17(1), pp. 47-55. doi: 10.1007/s10951-013-0331-3

Knight, R. A. (2008). Optimisation methods for staff scheduling and rostering: an employee-friendly approach. (Unpublished Doctoral thesis, City University London)

Kuang, D., Nielsen, B. & Nielsen, J. P. (2008). Identification of the age-period-cohort model and the extended chain-ladder model. Biometrika, 95(4), pp. 979-986. doi: 10.1093/biomet/asn026

Kyriakou, I. (2010). Efficient valuation of exotic derivatives with path-dependence and early exercise features. (Unpublished Doctoral thesis, City University London)

Kyriakou, I., Pouliasis, P. K., Papapostolou, N. C. & Nomikos, N. (2017). Income Uncertainty and the Decision to Invest in Bulk Shipping. European Financial Management, doi: 10.1111/eufm.12132

Landsman, Z. & Tsanakas, A. (2012). Parameter Uncertainty in Exponential Family Tail Estimation. ASTIN Bulletin, 42(1), pp. 123-152. doi: 10.2143/AST.42.1.2160738

Landsman, Z. & Tsanakas, A. (2006). Stochastic ordering of bivariate elliptical distributions. Statistics and Probability Letters, 76(5), pp. 488-494. doi: 10.1016/j.spl.2005.08.016

Lee, Y. K., Mammen, E., Nielsen, J. P. & Park, B. U. (2017). Operational time and in-sample density forecasting. Annals of Statistics, 45(3), pp. 1312-1341. doi: 10.1214/16-AOS1486

Li, J. & Haberman, S. (2015). On the effectiveness of natural hedging for insurance companies and pension plans. Insurance: Mathematics and Economics, 61, pp. 286-297. doi: 10.1016/j.insmatheco.2015.01.009

Linton, O., Nielsen, J. P. & Nielsen, S.F. (2009). Non-parametric regression with a latent time series. ECONOMETRICS JOURNAL, 12(2), pp. 187-207. doi: 10.1111/j.1368-423X.2009.00278.x

Liu, H. & Verrall, R. J. (2009). A Bootstrap Estimate of the Predictive Distribution of Outstanding Claims for the Schnieper Model. ASTIN Bulletin, 39(2), pp. 677-689. doi: 10.2143/AST.39.2.2044653

Liu, H. & Verrall, R. J. (2010). Bootstrap Estimation of the Predictive Distributions of Reserves Using Paid and Incurred Claims. Variance, 4, pp. 121-135.

Luciano, E., Spreeuw, J. & Vigna, E. (2008). Modelling stochastic mortality for dependent lives. Insurance: Mathematics and Economics, 43(2), pp. 234-244. doi: 10.1016/j.insmatheco.2008.06.005

Luciano, E., Spreeuw, J. & Vigna, E. (2016). Spouses’ Dependence across Generations and Pricing Impact on Reversionary Annuities. Risks, 4(2), 16-.. doi: 10.3390/risks4020016

López-Montoya, A.J., Gámiz-Pérez, M.L. & Martinez-Miranda, M. D. (2015). Local linear smoothing to estimate accelerated lifetime model with censoring and truncation. Applied Mathematical Modelling, 39(16), doi: 10.1016/j.apm.2015.03.063

Mammen, E., Martinez-Miranda, M. D. & Nielsen, J. P. (2015). In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality. Insurance: Mathematics and Economics, 61, pp. 76-86. doi: 10.1016/j.insmatheco.2014.12.001

Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. & Sperlich, S. (2011). Do-Validation for Kernel Density Estimation. Journal of the American Statistical Association, 106(494), pp. 651-660. doi: 10.1198/jasa.2011.tm08687

Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. & Sperlich, S. (2014). Further theoretical and practical insight to the do-validated bandwidth selector. Journal of the Korean Statistical Society, 43(3), pp. 355-365. doi: 10.1016/j.jkss.2013.11.001

Mammen, E., Nielsen, J. P. & Fitzenberger, B. (2011). Generalized linear time series regression. Biometrika, 98(4), pp. 1007-1014. doi: 10.1093/biomet/asr044

Margraf, C. (2017). On the use of micro models for claims reversing based on aggregate data. (Unpublished Doctoral thesis, City, University of London)

Martinez-Miranda, M. D., Nielsen, B. & Nielsen, J. P. (2014). Inference and forecasting in the age-period-cohort model with unknown exposure with an application to mesothelioma mortality. Journal of the Royal Statistical Society. Series A: Statistics in Society, 178(1), pp. 29-55. doi: 10.1111/rssa.12051

Martinez-Miranda, M. D., Nielsen, B. & Nielsen, J. P. (2016). A simple benchmark for mesothelioma projection for Great Britain. Occupational and Environmental Medicine, 73, pp. 561-563. doi: 10.1136/oemed-2015-103303

Martinez-Miranda, M. D., Nielsen, B., Nielsen, J. P. & Verrall, R. J. (2011). Cash flow simulation for a model of outstanding liabilities based on claim amounts and claim numbers. ASTIN Bulletin, 41(1), pp. 107-129.

Martinez-Miranda, M. D., Nielsen, J. P., Sperlich, S. & Verrall, R. J. (2013). Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem. Expert Systems with Applications, 40(14), pp. 5588-5603. doi: 10.1016/j.eswa.2013.04.006

Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2012). Double Chain Ladder. ASTIN Bulletin, 42(1), pp. 59-76.

Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2013). Double Chain Ladder and Bornhuetter-Ferguson. North American Actuarial Journal, 17(2), pp. 101-113. doi: 10.1080/10920277.2013.793158

Martinez-Miranda, M. D., Nielsen, J. P., Verrall, R. J. & Wüthrich, M. V. (2015). Double chain ladder, claims development inflation and zero-claims. Scandinavian Actuarial Journal, 2015(5), pp. 383-405. doi: 10.1080/03461238.2013.823459

Martinez-Miranda, M. D., Nielsen, J. P. & Wuethrich, M. V. (2012). Statistical modelling and forecasting of outstanding liabilities in non-life insurance. SORT, 36(2), pp. 195-218.

Mayhew, L. (2000). Health and Elderly Care Expenditure in an Aging World (Report No. RR-00-21). International Institute for Applied Systems Analysis (IIASA).

Mayhew, L. (2009). Increasing longevity and the economic value of healthy ageing and working longer. UK: Pensions Institute.

Mayhew, L. (2001). Japan's Longevity Revolution and the Implications for Health Care Finance and Long-term Care (Interim Report) (Report No. IR-01-010/February). International Institute for Applied Systems Analysis (IIASA).

Mayhew, L. (2017). Means Testing Adult Social Care in England. The Geneva Papers on Risk and Insurance - Issues and Practice, doi: 10.1057/s41288-016-0041-0

Mayhew, L. (2016). Means Testing Social Care in England. UK: International Longevity Centre.

Mayhew, L. (2009). On the effectiveness of care co-ordination services aimed at preventing hospital admissions and emergency attendances. Health Care Management Science, 12(3), pp. 269-284. doi: 10.1007/s10729-008-9092-5

Mayhew, L. (2004). The Public-Private Split in Health Care Systems. In: L. MacKellar, E. Andriouchina & D. Horlacher (Eds.), Policy Pathways to Health in the Russian Federation. (pp. 55-65). Laxenburg, Austria: International Institute for Applied Systems Analysis.

Mayhew, L. & Carney, J.E. (2003). Evaluating a New Approach for Improving Care in an Accident and Emergency Department: The New Care Project. Cass Business School, City University London.

Mayhew, L., Karlsson, M. & Rickayzen, B. D. (2010). The Role of Private Finance in Paying for Long Term Care. Economic Journal, 120(548), F478-F504. doi: 10.1111/j.1468-0297.2010.02388.x

Mayhew, L. & O'Leary, D. (2014). Unlocking the potential. UK: Demos.

Mayhew, L., Richardson, J. & Rickayzen, B. D. (2009). A study into the detrimental effects of obesity on life in the UK. Institute and Faculty of Actuaries.

Mayhew, L., Rickayzen, B. D. & Smith, D. (2017). Does living in a retirement village extend life expectancy? The case of Whiteley Village. UK: Housing Learning and Improvement Network (LIN).

Mayhew, L. & Smith, D. (2016). Decomposition of Life Expectancy at Older Ages and Prospects for Ageing Populations. In: J. Lombard, E. Stern & G. Clarke (Eds.), Applied Spatial Modelling and Planning. (pp. 172-188). Routledge. ISBN 9781138925700

Mayhew, L. & Smith, D. (2014). Personal Care Savings Bonds: A New Way of Saving Towards Social Care in Later Life. The Geneva Papers On Risk And Insurance: Issues And Practice, 39(4), pp. 668-692. doi: 10.1057/gpp.2014.30

Mayhew, L. & Smith, D. (2014). The UK Equity Bank - Towards income security in old age. The International Longevity Centre - UK (ILC-UK).

Mayhew, L. & Smith, D. (2016). An investigation into inequalities in adult lifespan. UK: International Longevity Centre- UK.

Mayhew, L. & Smith, D. (2015). A jam-jar model of life expectancy and limits to life. International Longevity Centre - UK (ILC-UK).

Mayhew, L. & Smith, D. (2013). A new method of projecting populations based on trends in life expectancy and survival. Population Studies: A Journal of Demography, 67(2), pp. 157-170. doi: 10.1080/00324728.2012.740500

Mayhew, L., Smith, D. & O’Leary, D. (2017). Paying for Care Costs in Later Life Using the Value in People’s Homes. The Geneva Papers on Risk and Insurance - Issues and Practice, 42(1), pp. 129-151. doi: 10.1057/gpp.2015.34

Mayhew, L., Smith, D. & Wright, D. (2015). Pension pots and how to survive them. London: International Longevity Centre (ILC-UK).

Mayhew, L., Smith, D. & Wright, D. (2017). The effect of longevity drift and investment volatility on income sufficiency in retirement. Insurance: Mathematics and Economics, doi: 10.1016/j.insmatheco.2017.09.013

Millossovich, P., Haberman, S., Kaishev, V. K., Baxter, S., Gaches, A., Gunnlaugsson, S. & Sison, M. (2014). Longevity Basis Risk A methodology for assessing basis risk. Institute and Faculty of Actuaries (IFA) , Life and Longevity Markets Association (LLMA).

Millossovich, P., Villegas, A.M. & Kaishev, V. K. (2017). StMoMo: An R Package for Stochastic Mortality Modelling. Journal of Statistical Software,

Miranda, M. D. M., Nielsen, J. P. & Sperlich, S. (2009). One Sided Crossvalidation for Density Estimation. In: G.N. Gregoriou (Ed.), Operational Risk Towards Basel III: Best Practices and Issues in Modeling, Management and Regulation. (pp. 177-196). New Jersey: John Wiley and Sons.

Munir, H., Mammen, E., Martinez-Miranda, M. D. & Nielsen, J. P. (2016). In-Sample Forecasting with Local Linear Survival Densities. Biometrika, 101(4), pp. 843-859. doi: 10.1093/biomet/asw038

Nielsen, B. & Nielsen, J. P. (2014). Identification and forecasting in mortality models. The Scientific World Journal, 2014, 347043 - ?. doi: 10.1155/2014/347043

Nielsen, J. P., Agbeko, T., Miranda, M. D. M. & Verrall, R. J. (2014). Validating the double chain ladder stochastic claims reserving model. Variance: advancing the science of risk, 8(2), pp. 138-160.

Nielsen, J. P., Young, K., Mammen, E. & Byeong, U. P (2015). Asymptotics for In-Sample Density Forecasting. Annals of Statistics, 43(2), pp. 620-651. doi: 10.1214/14-AOS1288

Nurullah, Mohamed (2000). Interface of insurance and banking in European countries. (Unpublished Doctoral thesis, City University, London)

Owadally, I. (2014). Tail risk in pension funds: An analysis using ARCH models and bilinear processes. Review of Quantitative Finance and Accounting, 43(2), pp. 301-331. doi: 10.1007/s11156-013-0373-9

Owadally, I. (2012). An improved closed-form solution for the constrained minimization of the root of a quadratic functional. Journal of Computational and Applied Mathematics, 236(17), pp. 4428-4435. doi: 10.1016/j.cam.2012.04.014

Owadally, I., Haberman, S. & Gomez, D. (2011). A Savings Plan with Targeted Contributions. Journal of Risk and Insurance, 80(4), pp. 975-1000. doi: 10.1111/j.1539-6975.2012.01485.x

Owadally, I. & Landsman, Z. (2013). A characterization of optimal portfolios under the tail mean-variance criterion. Insurance: Mathematics and Economics, 52(2), pp. 213-221. doi: 10.1016/j.insmatheco.2012.12.004

Owadally, M. I (2012). How to get the most from your piggy bank. InBusiness, 17, p. 34.

Owadally, M. I (2003). Pension funding and the actuarial assumption concerning investment returns. ASTIN Bulletin: Journal of the International Actuarial Association, 33(2), pp. 289-312. doi: 10.1017/S0515036100013477

Owadally, M. I & Haberman, S. (2004). Efficient Gain and Loss Amortization and Optimal Funding in Pension Plans. North American Actuarial Journal, 8(1), pp. 21-36. doi: 10.1080/10920277.2004.10596126

Owadally, M. I & Haberman, S. (2003). Exponential smoothing methods in pension funding. IMA Journal of Management Mathematics, 14(2), pp. 129-143. doi: 10.1093/imaman/14.2.129

Owadally, M. I & Haberman, S. (2001). Pension plan asset valuation. Pension Forum, 13(1), pp. 51-60.

Owadally, M. I & Haberman, S. (2004). Reply to discussion on "Efficient gain and loss amortization and optimal funding in pension plans". North American Actuarial Journal, 8(2), pp. 124-125. doi: /10.1080/10920277.2004.10596149

Owadally, M. I & Haberman, S. (2004). The treatment of assets in pension funding. ASTIN Bulletin: Journal of the International Actuarial Association, 34(2), pp. 425-433. doi: 10.2143/AST.34.2.505151

Papapostolou, N. C., Pouliasis, P. K., Nomikos, N. & Kyriakou, I. (2016). Shipping Investor Sentiment and International Stock Return Predictability. Transportation Research Part E: Logistics and Transportation Review, 96, pp. 81-94. doi: 10.1016/j.tre.2016.10.006

Pesenti, S. M., Millossovich, P. & Tsanakas, A. (2016). Robustness Regions for Measures of Risk Aggregation. Dependence Modeling, 4(1), pp. 348-367. doi: 10.1515/demo-2016-0020

Piscopo, G. & Haberman, S. (2011). The valuation of guaranteed lifelong withdrawal benefit options in variable annuity contracts and the impact of mortality risk. North American Actuarial Journal, 15(1), pp. 59-76. doi: 10.1080/10920277.2011.10597609

Rickayzen, B. D., Mayhew, L. & Smith, D. (2017). Flexible and affordable methods of paying for long-term care insurance. North American Actuarial Journal,

Rickayzen, B. D., Smith, D. & Mayhew, L. (2017). Flexible and affordable methods of paying for long term care insurance. International Longevity Centre – UK (ILC-UK)/Cass Business School.

Russolillo, M., Giordano, G. & Haberman, S. (2011). Extending the Lee Carter Model: a Three-way Decomposition. Scandinavian Actuarial Journal, 2011(2), pp. 96-117. doi: 10.1080/03461231003611933

Scholz, M., Nielsen, J. P. & Sperlich, S. (2015). Nonparametric Prediction of Stock Returns Based on Yearly Data: The Long-Term View. Insurance: Mathematics and Economics, 65, pp. 143-155. doi: 10.1016/j.insmatheco.2015.09.011

Scholz, M., Sperlich, S. & Nielsen, J. P. (2016). Nonparametric long term prediction of stock returns with generated bond yields. Insurance: Mathematics and Economics, 69, pp. 82-96. doi: 10.1016/j.insmatheco.2016.04.007

Schumacher, R. (2017). Improving the capacity of radio spectrum: exploration of the acyclic orientations of a graph. (Unpublished Doctoral thesis, City, University of London)

Shang, H.L. & Haberman, S. (2017). Grouped multivariate and functional time series forecasting: an application to annuity pricing. Insurance: Mathematics and Economics, 75, pp. 166-179. doi: 10.1016/j.insmatheco.2017.05.007

Shang, H.L. & Haberman, S. (2017). Grouped multivariate and functional time series forecasting: an application to annuity pricing. In: 2017 Living to 100 Monograph. . USA: Society of Actuaries.

Sithole, T., Haberman, S. & Verrall, R. J. (2011). Second international comparative study of mortality tables for pension fund retirees. British Actuarial Journal, 17(3), pp. 650-671. doi: 10.1017/S1357321712000207

Spreeuw, J. (2014). Archimedean copulas derived from utility functions. Insurance: Mathematics and Economics, 59, pp. 235-242. doi: 10.1016/j.insmatheco.2014.10.002

Spreeuw, J. (2010). Relationships Between Archimedean Copulas and Morgenstern Utility Functions. Paper presented at the Copula Theory and Its Applications, 25-26 September 2009, Warsaw.

Spreeuw, J. & Karlsson, M. (2009). Time Deductibles as Screening Devices: Competitive Markets. Journal Of Risk And Insurance, 76(2), pp. 261-278. doi: 10.1111/j.1539-6975.2009.01298.x

Spreeuw, J., Nielsen, J. P. & Jarner, S. F. (2013). A nonparametric visual test of mixed hazard models. SORT - Statistics and Operations Research Transactions, 37(2), pp. 153-174.

Spreeuw, J. & Owadally, M. I (2013). Investigating the broken-heart effect: a model for short-term dependence between the remaining lifetimes of joint lives. Annals of Actuarial Science, 7(2), pp. 236-257. doi: 10.1017/S1748499512000292

Sturdy, P., Bremner, S., Harper, G., Mayhew, L., Eldridge, S., Eversley, J., Sheikh, A., Hunter, S., Boomla, K., Feder, G., Prescott, K. & Griffiths, C. (2012). Impact of asthma on educational attainment in a socioeconomically deprived population: a study linking health, education and social care datasets. PLoS One, 7(11), e43977. doi: 10.1371/journal.pone.0043977

Thuring, Fredrik (2012). Multivariate credibility with application to cross-selling financial services products. (Unpublished Doctoral thesis, City University London)

Tsanakas, A. (2004). Dynamic capital allocation with distortion risk measures. Insurance: Mathematics and Economics, 33(2), pp. 223-243. doi: 10.1016/j.insmatheco.2003.09.005

Tsanakas, A. (2016). Making a Market for Acts of God: The Practice of Risk-Trading in the Global Reinsurance Industry. Journal Of Risk And Insurance, 83(2), pp. 501-504. doi: 10.1111/jori.12160

Tsanakas, A. (2012). Modelling: The elephant in the room. The Actuary, 2012,

Tsanakas, A. (2008). Risk measurement in the presence of background risk. Insurance: Mathematics and Economics, 42(2), pp. 520-528. doi: 10.1016/j.insmatheco.2007.01.015

Tsanakas, A. (2007). Risk measures and economic capital for (re)insurers. In: B. Everitt & E. Melnick (Eds.), Encyclopedia of Quantitative Risk Analysis and Assessment. . Wiley. ISBN 978-0-470-03549-8

Tsanakas, A. (2009). To split or not to split: capital allocation with convex risk measures. Insurance: Mathematics and Economics, 44(2), pp. 268-277. doi: 10.1016/j.insmatheco.2008.03.007

Tsanakas, A. & Barnett, C. (2003). Risk capital allocation and cooperative pricing of insurance liabilities. Insurance: Mathematics and Economics, 33(2), pp. 239-254. doi: 10.1016/S0167-6687(03)00137-9

Tsanakas, A. & Christofides, N. (2006). Risk exchange with distorted probabilities. Astin Bulletin, 36(1), pp. 219-243. doi: 10.2143/AST.36.1.2014150

Tsanakas, A. & Desli, E. (2005). Measurement and Pricing of Risk in Insurance Markets. Risk Analysis, 25(6), pp. 1653-1668. doi: 10.1111/j.1539-6925.2005.00684.x

Tsanakas, A. & Desli, E. (2003). Risk measures and theories of choice. British Actuarial Journal, 9(4), pp. 959-991. doi: 10.1017/S1357321700004414

Tsanakas, A., Wuethrich, M. V. & Černý, A. (2013). Market value margin via mean-variance hedging. ASTIN Bulletin, 43(3), pp. 301-322. doi: 10.1017/asb.2013.18

Verrall, R. J. & Haberman, S. (2011). Automated Graduation using Bayesian Trans-dimensional Models. Annals of Actuarial Science, 5(2), pp. 231-251. doi: 10.1017/S1748499511000248

Verrall, R. J., Hossjer, O. & Bjorkwall, S. (2012). Modelling Claims Run-off with Reversible Jump Markov Chain Monte Carlo Methods. ASTIN Bulletin, 42(1), pp. 35-58.

Verrall, R. J. & Liu, H. (2010). Bootstrap Estimation of the Predictive Distributions of Reserves using Paid and Incurred Claims. Paper presented at the ASTIN Colloquium 2008, 13-16 Jul 2008, Manchester, UK.

Verrall, R. J., Nielsen, J. P. & Jessen, A. H. (2010). Prediction of RBNS and IBNR claims using claim amounts and claim counts. ASTIN Bulletin, 40(2), pp. 871-887.

Verrall, R. J. & Wüthrich, M. V. (2015). Parameter Reduction in Log-normal Chain-ladder Models. European Actuarial Journal, 5(2), pp. 355-380. doi: 10.1007/s13385-015-0114-7

Verrall, R. J. & Wüthrich, M. V. (2012). Reversible jump Markov chain Monte Carlo method for parameter reduction in claims reserving. North American Actuarial Journal, 16(2), pp. 240-259. doi: 10.1080/10920277.2012.10590639

Villegas, A. & Haberman, S. (2014). On the Modeling and Forecasting of Socioeconomic Mortality Differentials: An Application to Deprivation and Mortality in England. North American Actuarial Journal, 18(1), pp. 168-193. doi: 10.1080/10920277.2013.866034

Villegas, A., Haberman, S., Kaishev, V. K. & Millossovich, P. (2017). A comparative study of two population models for the assessment of basis risk in longevity hedges. ASTIN Bulletin,

Villegas Ramirez, Andres (2015). Mortality: modelling, socio-economic differences and basis risk. (Unpublished Doctoral thesis, City University London)

Wang, R., Bignozzi, V. & Tsanakas, A. (2015). How Superadditive Can a Risk Measure Be?. SIAM Journal on Financial Mathematics, 6(1), pp. 776-803. doi: 10.1137/140981046

Wuethrich, M. V., Embrechts, P. & Tsanakas, A. (2011). Risk margin for a non-life insurance run-off. Statistics & Risk Modeling, 28(4), pp. 299-317. doi: 10.1524/strm.2011.1096

Zaks, Y. & Tsanakas, A. (2014). Optimal capital allocation in a hierarchical corporate structure. Insurance: Mathematics and Economics, 56, pp. 48-55. doi: 10.1016/j.insmatheco.2014.02.009

Zhao, Shouqi (2014). Dependent Risk Modelling and Ruin Probability: Numerical Computation and Applications. (Unpublished Doctoral thesis, City University London)

Černý, A. (2009). Characterization of the oblique projector U(VU)V-dagger with application to constrained least squares. Linear Algebra and its Applications, 431(9), pp. 1564-1570. doi: 10.1016/j.laa.2009.05.025

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