Hong Li

Personal Details

First Name:	Hong
Middle Name:
Last Name:	Li
Suffix:
RePEc Short-ID:	pli1443
	https://hongliecon.weebly.com/

Affiliation

Department of Economics and Finance
Gordon Lang School of Business and Economics
University of Guelph

Guelph, Canada
http://www.uoguelph.ca/economics/
RePEc:edi:degueca (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Hong Li & Yang Lu, 2018. "A Bayesian non-parametric model for small population mortality," Post-Print hal-02419000, HAL.

   Cited by:

   1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
   2. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
   3. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.
   4. Apostolos Bozikas & Georgios Pitselis, 2019. "Credible Regression Approaches to Forecast Mortality for Populations with Limited Data," Risks, MDPI, vol. 7(1), pages 1-22, February.

2. Hong Li & Yang Lu, 2016. "Coherent Forecasting Of Mortality Rates: A Sparse Vector-Autoregression Approach," Post-Print halshs-02418954, HAL.
   • Li, Hong & Lu, Yang, 2017. "Coherent Forecasting Of Mortality Rates: A Sparse Vector-Autoregression Approach," ASTIN Bulletin, Cambridge University Press, vol. 47(2), pages 563-600, May.

   Cited by:

   1. Nhan Huynh & Mike Ludkovski, 2021. "Joint Models for Cause-of-Death Mortality in Multiple Populations," Papers 2111.06631, arXiv.org.
   2. Thilini Dulanjali Kularatne & Jackie Li & Yanlin Shi, 2022. "Forecasting Mortality Rates with a Two-Step LASSO Based Vector Autoregressive Model," Risks, MDPI, vol. 10(11), pages 1-23, November.
   3. Jackie Li & Jia Liu & Adam Butt, 2024. "A systematic vector autoregressive framework for modeling and forecasting mortality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2279-2297, September.
   4. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
   5. Cupido, Kyran & Jevtić, Petar & Paez, Antonio, 2020. "Spatial patterns of mortality in the United States: A spatial filtering approach," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 28-38.
   6. Yanlin Shi, 2021. "Forecasting mortality rates with the adaptive spatial temporal autoregressive model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 528-546, April.
   7. Yanlin Shi & Sixian Tang & Jackie Li, 2020. "A Two-Population Extension of the Exponential Smoothing State Space Model with a Smoothing Penalisation Scheme," Risks, MDPI, vol. 8(3), pages 1-18, June.
   8. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
   9. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
   10. Paul Doukhan & Joseph Rynkiewicz & Yahia Salhi, 2021. "Optimal Neighborhood Selection for AR-ARCH Random Fields with Application to Mortality," Stats, MDPI, vol. 5(1), pages 1-26, December.
   11. Arnold, Séverine & Glushko, Viktoriya, 2021. "Cause-specific mortality rates: Common trends and differences," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 294-308.
   12. Cuixia Liu & Yanlin Shi, 2023. "Extensions of the Lee–Carter model to project the data‐driven rotation of age‐specific mortality decline and forecast coherent mortality rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 813-834, July.
   13. Guibert, Quentin & Lopez, Olivier & Piette, Pierrick, 2019. "Forecasting mortality rate improvements with a high-dimensional VAR," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 255-272.
   14. Feng, Lingbing & Shi, Yanlin & Chang, Le, 2021. "Forecasting mortality with a hyperbolic spatial temporal VAR model," International Journal of Forecasting, Elsevier, vol. 37(1), pages 255-273.
   15. Jose Garrido & Yuxiang Shang & Ran Xu, 2024. "LSTM-Based Coherent Mortality Forecasting for Developing Countries," Risks, MDPI, vol. 12(2), pages 1-24, February.
   16. Jarner, Søren F. & Jallbjørn, Snorre, 2020. "Pitfalls and merits of cointegration-based mortality models," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 80-93.
   17. Li, Hong & Tan, Ken Seng & Tuljapurkar, Shripad & Zhu, Wenjun, 2021. "Gompertz law revisited: Forecasting mortality with a multi-factor exponential model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 268-281.
   18. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.
   19. Kyran Cupido & Petar Jevtić & Tim J. Boonen, 2024. "Space, mortality, and economic growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1321-1337, August.

Articles

1. Hong Li & Yanlin Shi, 2022. "Robust information share measures with an application on the international crude oil markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 555-579, April.

   Cited by:

   1. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.

2. Qimeng Pan & Lysa Porth & Hong Li, 2022. "Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications," Sustainability, MDPI, vol. 14(11), pages 1-24, June.

   Cited by:

   1. Jose Garrido & Xavier Milhaud & Anani Olympio & Max Popp, 2024. "Climate Risk and its Impact on Insurance [Risque climatique et impact en assurance]," Post-Print hal-04684634, HAL.
   2. Jiayue Zhang & Ken Seng Tan & Tony S. Wirjanto & Lysa Porth, 2024. "Joint Liability Model with Adaptation to Climate Change," Papers 2404.13818, arXiv.org.

3. Chen, An & Li, Hong & Schultze, Mark, 2022. "Collective longevity swap: A novel longevity risk transfer solution and its economic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 227-249.

   Cited by:

   1. David Landriault & Bin Li & Hong Li & Yuanyuan Zhang, 2024. "Contract Structure and Risk Aversion in Longevity Risk Transfers," Papers 2409.08914, arXiv.org.
   2. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
   3. Chen, Ze & Feng, Runhuan & Li, Hong & Yang, Tianyu, 2024. "Coping with longevity via hedging: Fair dynamic valuation of variable annuities," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 154-169.

4. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.

   Cited by:

   1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
   2. Thipphavong, Viengsavang & Vanhnalat, Bounlert & Vidavong, Chanhphasouk & Bodhisane, Somdeth, 2022. "The Export Potential Of Laos Agri-Food To The Eu Market," PRCI Research Papers 324028, Michigan State University, Department of Agricultural, Food and Resource Economics, Food Security Group.
   3. Cuixia Liu & Yanlin Shi, 2023. "Extensions of the Lee–Carter model to project the data‐driven rotation of age‐specific mortality decline and forecast coherent mortality rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 813-834, July.
   4. Livia CEBOTARI, 2021. "Eu-Russian Economic Relations: From Cooperation To Confrontation," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 8, pages 41-55, July.

5. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).

   Cited by:

   1. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).
   2. Kitamura, Yoshihiro, 2024. "The price discovery in the renminbi/USD market: Two spot, two swap, and three forward FX rates," International Review of Financial Analysis, Elsevier, vol. 95(PA).
   3. Hong Li & Yanlin Shi, 2022. "Robust information share measures with an application on the international crude oil markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 555-579, April.
   4. Donald Lien & Pi-Hsia Hung, 2023. "Whose trades contribute more to price discovery? Evidence from the Taiwan stock exchange," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 213-263, July.
   5. Zhao, Yuyang & Xiang, Cheng & Cai, Wenwu, 2021. "Stock market liberalization and institutional herding: Evidence from the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connects," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
   6. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.

6. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.

   Cited by:

   1. Thilini Dulanjali Kularatne & Jackie Li & Yanlin Shi, 2022. "Forecasting Mortality Rates with a Two-Step LASSO Based Vector Autoregressive Model," Risks, MDPI, vol. 10(11), pages 1-23, November.
   2. Jackie Li & Jia Liu & Adam Butt, 2024. "A systematic vector autoregressive framework for modeling and forecasting mortality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2279-2297, September.
   3. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
   4. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.

7. Hong Li & Yang Lu & Wenjun Zhu, 2021. "Dynamic Bayesian Ratemaking: A Markov Chain Approximation Approach," North American Actuarial Journal, Taylor & Francis Journals, vol. 25(2), pages 186-205, April.

   Cited by:

   1. Sebastian Calcetero-Vanegas & Andrei L. Badescu & X. Sheldon Lin, 2022. "Effective experience rating for large insurance portfolios via surrogate modeling," Papers 2211.06568, arXiv.org, revised Jun 2024.

8. Li, Hong & Porth, Lysa & Tan, Ken Seng & Zhu, Wenjun, 2021. "Improved index insurance design and yield estimation using a dynamic factor forecasting approach," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 208-221.

   Cited by:

   1. Yu, Fangping & Xiang, Zhiyuan & Wang, Xuanhe & Yang, Mo & Kuang, Haibo, 2023. "An innovative tool for cost control under fragmented scenarios: The container freight index microinsurance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
   2. Qimeng Pan & Lysa Porth & Hong Li, 2022. "Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications," Sustainability, MDPI, vol. 14(11), pages 1-24, June.

9. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.

   Cited by:

   1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
   2. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
   3. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.

10. Hong Li & Qifan Song & Jianxi Su, 2021. "Robust estimates of insurance misrepresentation through kernel quantile regression mixtures," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 625-663, September.

    Cited by:

    1. Michele Tumminello & Andrea Consiglio & Pietro Vassallo & Riccardo Cesari & Fabio Farabullini, 2023. "Insurance fraud detection: A statistically validated network approach," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(2), pages 381-419, June.
    2. Daniel Bauer & James Tyler Leverty & Joan Schmit & Justin Sydnor, 2021. "Symposium on insure‐tech, digitalization, and big‐data techniques in risk management and insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 525-528, September.

11. Li, Hong & Tan, Ken Seng & Tuljapurkar, Shripad & Zhu, Wenjun, 2021. "Gompertz law revisited: Forecasting mortality with a multi-factor exponential model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 268-281.

    Cited by:

    1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    2. Jorge Miguel Bravo & Mercedes Ayuso & Robert Holzmann & Edward Palmer, 2021. "Intergenerational Actuarial Fairness when Longevity Increases: Amending the Retirement Age," CESifo Working Paper Series 9408, CESifo.
       • Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2023. "Intergenerational actuarial fairness when longevity increases: Amending the retirement age," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 161-184.
    3. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    4. Yang Qiao & Chou-Wen Wang & Wenjun Zhu, 2024. "Machine learning in long-term mortality forecasting," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 340-362, April.
    5. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.

12. Li, Han & Li, Hong & Lu, Yang & Panagiotelis, Anastasios, 2019. "A forecast reconciliation approach to cause-of-death mortality modeling," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 122-133.

    Cited by:

    1. Geert Zittersteyn & Jennifer Alonso-García, 2021. "Common Factor Cause-Specific Mortality Model," Risks, MDPI, vol. 9(12), pages 1-30, December.
    2. Li, Han & Hyndman, Rob J., 2021. "Assessing mortality inequality in the U.S.: What can be said about the future?," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 152-162.
    3. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    4. Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024. "Forecast reconciliation: A review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 430-456.
       • George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
    5. Camille Delbrouck & Jennifer Alonso-García, 2024. "COVID-19 and Excess Mortality: An Actuarial Study," Risks, MDPI, vol. 12(4), pages 1-27, March.
    6. I. A. Lakman & R. A. Askarov & V. B. Prudnikov & Z. F. Askarova & V. M. Timiryanova, 2021. "Predicting Mortality by Causes in the Republic of Bashkortostan Using the Lee–Carter Model," Studies on Russian Economic Development, Springer, vol. 32(5), pages 536-548, September.
    7. Li, Han & Chen, Hua, 2024. "Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement," International Journal of Forecasting, Elsevier, vol. 40(2), pages 549-563.
    8. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
    9. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    10. Norkhairunnisa Redzwan & Rozita Ramli, 2022. "A Bibliometric Analysis of Research on Stochastic Mortality Modelling and Forecasting," Risks, MDPI, vol. 10(10), pages 1-17, October.
    11. Li, Hong & Tan, Ken Seng & Tuljapurkar, Shripad & Zhu, Wenjun, 2021. "Gompertz law revisited: Forecasting mortality with a multi-factor exponential model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 268-281.
    12. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.
    13. Zhang, Xuanming & Huang, Fei & Hui, Francis K.C. & Haberman, Steven, 2023. "Cause-of-death mortality forecasting using adaptive penalized tensor decompositions," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 193-213.
    14. Li, Johnny Siu-Hang & Liu, Yanxin, 2021. "Recent declines in life expectancy: Implication on longevity risk hedging," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 376-394.

13. Li, Hong, 2018. "Dynamic Hedging Of Longevity Risk: The Effect Of Trading Frequency," ASTIN Bulletin, Cambridge University Press, vol. 48(1), pages 197-232, January.

    Cited by:

    1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    2. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    3. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
    4. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    5. Chen, Ze & Feng, Runhuan & Li, Hong & Yang, Tianyu, 2024. "Coping with longevity via hedging: Fair dynamic valuation of variable annuities," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 154-169.
    6. Li, Hong & Tan, Ken Seng & Tuljapurkar, Shripad & Zhu, Wenjun, 2021. "Gompertz law revisited: Forecasting mortality with a multi-factor exponential model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 268-281.

14. Tim J. Boonen & Hong Li, 2017. "Modeling and Forecasting Mortality With Economic Growth: A Multipopulation Approach," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1921-1946, October.

    Cited by:

    1. Geert Zittersteyn & Jennifer Alonso-García, 2021. "Common Factor Cause-Specific Mortality Model," Risks, MDPI, vol. 9(12), pages 1-30, December.
    2. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    3. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    4. Francesca Perla & Salvatore Scognamiglio, 2023. "Locally-coherent multi-population mortality modelling via neural networks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 157-176, June.
    5. Wang, Pengjie & Pantelous, Athanasios A. & Vahid, Farshid, 2023. "Multi-population mortality projection: The augmented common factor model with structural breaks," International Journal of Forecasting, Elsevier, vol. 39(1), pages 450-469.
    6. Jos'e A. Tapia Granados & Edward L. Ionides, 2024. "Income, health, and cointegration," Papers 2407.15755, arXiv.org.
    7. Li, Hong & Tan, Ken Seng & Tuljapurkar, Shripad & Zhu, Wenjun, 2021. "Gompertz law revisited: Forecasting mortality with a multi-factor exponential model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 268-281.
    8. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.
    9. Giuseppina Bozzo & Susanna Levantesi & Massimiliano Menzietti, 2021. "Longevity risk and economic growth in sub-populations: evidence from Italy," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 101-115, June.
    10. Andrea Nigri & Elisabetta Barbi & Susanna Levantesi, 2022. "The relationship between longevity and lifespan variation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 481-493, September.
    11. Kyran Cupido & Petar Jevtić & Tim J. Boonen, 2024. "Space, mortality, and economic growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1321-1337, August.
    12. Jacie Jia Liu, 2021. "A Study on Link Functions for Modelling and Forecasting Old-Age Survival Probabilities of Australia and New Zealand," Risks, MDPI, vol. 9(1), pages 1-18, January.

15. Hong Li & Johnny Siu-Hang Li, 2017. "Optimizing the Lee-Carter Approach in the Presence of Structural Changes in Time and Age Patterns of Mortality Improvements," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1073-1095, June.

    Cited by:

    1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    2. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    3. Carlo G. Camarda & Ugofilippo Basellini, 2021. "Smoothing, Decomposing and Forecasting Mortality Rates," European Journal of Population, Springer;European Association for Population Studies, vol. 37(3), pages 569-602, July.
    4. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
    5. Cuixia Liu & Yanlin Shi, 2023. "Extensions of the Lee–Carter model to project the data‐driven rotation of age‐specific mortality decline and forecast coherent mortality rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 813-834, July.
    6. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.
    7. Péter Vékás, 2020. "Rotation of the age pattern of mortality improvements in the European Union," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 1031-1048, September.

16. Li, Hong & Lu, Yang, 2017. "Coherent Forecasting Of Mortality Rates: A Sparse Vector-Autoregression Approach," ASTIN Bulletin, Cambridge University Press, vol. 47(2), pages 563-600, May.
    • Hong Li & Yang Lu, 2016. "Coherent Forecasting Of Mortality Rates: A Sparse Vector-Autoregression Approach," Post-Print halshs-02418954, HAL.
    See citations under working paper version above.
17. Li, Hong & De Waegenaere, Anja & Melenberg, Bertrand, 2015. "The choice of sample size for mortality forecasting: A Bayesian learning approach," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 153-168.

    Cited by:

    1. Hong Li & Yanlin Shi, 2021. "Mortality Forecasting with an Age-Coherent Sparse VAR Model," Risks, MDPI, vol. 9(2), pages 1-19, February.
    2. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    3. Katrien Antonio & Anastasios Bardoutsos & Wilbert Ouburg, 2015. "Bayesian Poisson log-bilinear models for mortality projections with multiple populations," BAFFI CAREFIN Working Papers 1505, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
       • Katrien Antonio & Anastasios Bardoutsos & Wilbert Ouburg, 2015. "Bayesian Poisson log-bilinear models for mortality projections with multiple populations," Working Papers Department of Accountancy, Finance and Insurance (AFI), Leuven 485564, KU Leuven, Faculty of Economics and Business (FEB), Department of Accountancy, Finance and Insurance (AFI), Leuven.
    4. David Blake & Nicole El Karoui & Stéphane Loisel & Richard Macminn, 2018. "Longevity risk and capital markets: The 2015–16 update," Post-Print hal-01995778, HAL.
       • Blake, David & El Karoui, Nicole & Loisel, Stéphane & MacMinn, Richard, 2018. "Longevity risk and capital markets: The 2015–16 update," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 157-173.
    5. David Blake & Marco Morales & Wenjun Zhu & Ken Seng Tan & Chou-Wen Wang, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 477-493, April.
       • David Blake & Marco Morales, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 273-277, April.
       • David Blake & Marco Morales & Hua Chen & Richard D. MacMinn & Tao Sun, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 393-415, April.
       • David Blake & Marco Morales & Hong Li & Anja Waegenaere & Bertrand Melenberg, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 459-475, April.
       • David Blake & Marco Morales & Kenneth Q. Zhou & Johnny Siu-Hang Li, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 417-437, April.
       • David Blake & Marco Morales & Jing Ai & Patrick L. Brockett & Linda L. Golden & Wei Zhu, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 319-343, April.
       • David Blake & Marco Morales & Yijia Lin & Richard D. MacMinn & Ruilin Tian & Jifeng Yu, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 345-365, April.
       • David Blake & Marco Morales & Richard D. MacMinn & Nan Zhu, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 439-458, April.
       • David Blake & Marco Morales & David Blake & Marco Morales, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 279-297, April.
       • David Blake & Marco Morales & Andreas Milidonis & Maria Efthymiou, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 495-514, April.
       • David Blake & Marco Morales & Richard MacMinn & Patrick Brockett, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 299-317, April.
       • David Blake & Marco Morales & Yijia Lin & Tianxiang Shi & Ayşe Arik, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 367-392, April.
       • David Blake & Marco Morales & Enrico Biffis & Yijia Lin & Andreas Milidonis, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 515-532, April.
    6. Hong Li & Johnny Siu-Hang Li, 2017. "Optimizing the Lee-Carter Approach in the Presence of Structural Changes in Time and Age Patterns of Mortality Improvements," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1073-1095, June.
    7. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
    8. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    9. Cuixia Liu & Yanlin Shi, 2023. "Extensions of the Lee–Carter model to project the data‐driven rotation of age‐specific mortality decline and forecast coherent mortality rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 813-834, July.
    10. Boonen, Tim J. & De Waegenaere, Anja & Norde, Henk, 2017. "Redistribution of longevity risk: The effect of heterogeneous mortality beliefs," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 175-188.
    11. Li, Hong & Shi, Yanlin, 2021. "Forecasting mortality with international linkages: A global vector-autoregression approach," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 59-75.

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1. NEP-AGE: Economics of Ageing (1) 2020-01-27. Author is listed

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