City Research Online

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Asimit, A.V. ORCID: 0000-0002-7706-0066, Hu, J. and Xie, Y. (2019). Optimal Robust Insurance with a Finite Uncertainty Set. Insurance: Mathematics and Economics, 87, pp. 67-81. doi: 10.1016/j.insmatheco.2019.03.009

Asimit, A.V. ORCID: 0000-0002-7706-0066, Peng, L., Wang, R. and Yu, A. (2019). An efficient approach to quantile capital allocation and sensitivity analysis. Mathematical Finance,

Bischofberger, S., Hiabu, M., Mammen, E. and Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2019). A comparison of in-sample forecasting methods. Computational Statistics and Data Analysis, 137, pp. 133-154. doi: 10.1016/j.csda.2019.02.009

Boado-Penas, C., Godínez-Olivares, H., Haberman, S. ORCID: 0000-0003-2269-9759 and Serrano, P. (2019). Automatic Balancing Mechanisms for Mixed Pension Systems under Different Investment Strategies. European Journal of Finance,

Chen, A., Haberman, S. and Thomas, S. (2019). Cumulative Prospect Theory and Deferred Annuities. Review of Behavioural Finance,

Chen, A., Haberman, S. ORCID: 0000-0003-2269-9759 and Thomas, S. ORCID: 0000-0001-5438-4263 (2019). The implication of the hyperbolic discount model for annuitisation decisions. Journal of Pension Economics and Finance, doi: 10.1017/S1474747218000343

Cuthbertson, K., Kyriakou, I. ORCID: 0000-0001-9592-596X, Sermpinis, G. and Pantelous, A. A. (2019). Special issue of the International Journal of Finance and Economics innovations in finance, economics, risk management, and policy. International Journal of Finance & Economics, doi: 10.1002/ijfe.1738

D'Amato, V., di Lorenzo, E., Haberman, S. ORCID: 0000-0003-2269-9759, Sibilllo, M. and Tizzano, R. (2019). Pension schemes versus real estate. Annals of Operations Research, doi: 10.1007/s10479-019-03241-y

Dimitrova, D. S. ORCID: 0000-0003-3169-2735, Ignatov, Z., Kaishev, V. K. and Tan, S. (2019). On Double-Boundary Non-Crossing Probability for a Class of Compound Processes with Applications. European Journal of Operational Research, doi: 10.1016/j.ejor.2019.09.058

England, P. D., Verrall, R. J. ORCID: 0000-0003-4098-9792 and Wüthrich, M. V. (2019). On the lifetime and one-year views of reserve risk, with application to IFRS 17 and Solvency II risk margins. Insurance: Mathematics and Economics, doi: 10.1016/j.insmatheco.2018.12.002

Espasandín-Domínguez, J., Cadarso-Suárez, C., Kneib, T., Marra, G., Klein, N., Radice, R. ORCID: 0000-0002-6316-3961, Lado-Baleato, O., González Quintela, A and Gude, F. (2019). Assessing the relationship between markers of glycemic control through flexible copula regression models. Statistics in Medicine,

Fang, L., Cheng, J. and Su, F. (2019). Interconnectedness and Systemic Risk: A Comparative Study Based on Systemically Important Regions. Pacific-Basin Finance Journal, 54, pp. 147-158. doi: 10.1016/j.pacfin.2019.02.007

Giordano, G., Haberman, S. ORCID: 0000-0003-2269-9759 and Russolillo, M. (2019). Coherent modeling of mortality patterns for age-specific subgroups. Decisions in Economics and Finance, doi: 10.1007/s10203-019-00245-y

Gomes, M., Radice, R., Camarena Brenes, J. and Marra, G. (2019). Copula selection models for non-Gaussian responses that are missing not at random. Statistics in Medicine, 38(3), pp. 480-496. doi: 10.1002/sim.7988

Guillen, M., Nielsen, J. P. ORCID: 0000-0002-2798-0817, Pérez-Marín, A. and Elpidorou, V. (2019). Can automobile insurance telematics predict the risk of near-miss events?. North American Actuarial Journal, doi: 10.1080/10920277.2019.1627221

Klein, N., Kneib, T., Marra, G., Radice, R., Rokicki, S. R. and McGovern, M. (2019). Mixed Binary-Continuous Copula Regression Models with Application to Adverse Birth Outcomes. Statistics in Medicine, 38(3), pp. 413-436. doi: 10.1002/sim.7985

Krummaker, S. ORCID: 0000-0003-2471-8175 (2019). Firm's Demand for Insurance: An Explorative Approach. Risk Management and Insurance Review, doi: 10.1111/rmir.12128

Kyriakou, I. ORCID: 0000-0001-9592-596X, Mousavi, P., Nielsen, J. P. and Scholz, M. (2019). Forecasting benchmarks of long-term stock returns via machine learning. Annals of Operations Research, doi: 10.1007/s10479-019-03338-4

Kyriakou, I. ORCID: 0000-0001-9592-596X, Pantelous, A. A., Sermpinis, G. and Zenios, S. A. (2019). Preface: application of operations research to financial markets. Annals of Operations Research, doi: 10.1007/s10479-019-03400-1

Lee, Y. K., Mammen, E., Nielsen, J. P. ORCID: 0000-0002-2798-0817 and Park, B. U. (2019). Generalised additive dependency inflated models including aggregated covariates. Electronic Journal of Statistics, 13(1), pp. 67-93. doi: 10.1214/18-EJS1515

Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2019). Copula Link-Based Additive Models for Right-Censored Event Time Data. Journal of the American Statistical Association, doi: 10.1080/01621459.2019.1593178

Owadally, M. I ORCID: 0000-0002-0830-3554, Zhou, F., Otunba, R., Lin, J. and Wright, I. D. (2019). Time Series Data Mining with an Application to the Measurement of Underwriting Cycles. North American Actuarial Journal,

Owadally, M. I ORCID: 0000-0002-0830-3554, Zhou, F., Otunba, R., Lin, J. and Wright, I. D. (2019). An agent-based system with temporal data mining for monitoring financial stability on insurance markets. Expert Systems with Applications, 123, pp. 270-282. doi: 10.1016/j.eswa.2019.01.049

Shang, H.L. and Haberman, S. ORCID: 0000-0003-2269-9759 (2019). Forecasting age distribution of death counts: An application to annuity pricing. Annals of Actuarial Science,

Simper, R., Dadoukis, A. and Bryce, C. ORCID: 0000-0002-9856-7851 (2019). European bank loan loss provisioning and efficient technological innovative progress. International Review of Financial Analysis, 63, pp. 119-130. doi: 10.1016/j.irfa.2019.03.001

Zhu, R., Wang, Z., Sogi, N., Fukui, K. and Xue, J-H. (2019). A Novel Separating Hyperplane Classification Framework to Unify Nearest-class-model Methods for High-dimensional Data. IEEE Transactions on Neural Networks and Learning Systems,

van den Berg, G., anys, L., Mammen, E. and Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2019). A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models. Journal of Econometrics,

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Mayhew, L. ORCID: 0000-0002-0380-1757 (2019). The Last-Time Buyer: housing and finance for an ageing society (130). London, UK: CSFI.