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Items where Schools and Departments is "Actuarial Science & Insurance" and Year is 2019

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Number of items: 33.

A

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,

B

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

C

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

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

E

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, doi: 10.1002/sim.8358

F

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

G

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

Guillén, M., Nielsen, J. P. ORCID: 0000-0002-2798-0817, Ayuso, M. and Perez-Marin, A. M. (2019). The use of telematics devices to improve automobile insurance rates. Risk Analysis, 39(3), pp. 662-672. doi: 10.1111/risa.13172

K

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

L

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

M

Mammen, E., Nielsen, J. P. ORCID: 0000-0002-2798-0817, Scholz, M. and Sperlich, S. (2019). Conditional variance forecasts for long-term stock returns. Risks, 7(4), 113.. doi: 10.3390/risks7040113

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

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

Mayhew, L. ORCID: 0000-0002-0380-1757, Harper, G. and Villegas, A. M. (2019). An investigation into the impact of deprivation on demographic inequalities in adults. Annals of Actuarial Science,

Mayhew, L. ORCID: 0000-0002-0380-1757 and Smith, D. ORCID: 0000-0001-6642-8884 (2019). An investigation into inequalities in adult lifespan. North American Actuarial Journal, doi: 10.1080/10920277.2019.1671874

O

Owadally, M. I ORCID: 0000-0002-0830-3554, Kashif, M. and Menoncin, F. (2019). Optimal portfolio and spending rules for endowment funds. Review of Quantitative Finance and Accounting, doi: 10.1007/s11156-019-00856-x

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

R

Rickayzen, B. D., Mayhew, L. and Smith, D. (2019). Flexible and affordable methods of paying for long-term care insurance. North American Actuarial Journal, doi: 10.1080/10920277.2019.1651657

S

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, doi: 10.1017/S1748499519000101

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

V

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,

Z

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, doi: 10.1109/TNNLS.2019.2946967

This list was generated on Thu Jan 23 04:26:05 2020 UTC.