Improving crop yield estimation by applying higher resolution satellite NDVI imagery and high-resolution cropland masks M Roznik, M Boyd, L Porth Remote Sensing Applications: Society and Environment 25, 100693, 2022 | 62 | 2022 |
Optimal reinsurance analysis from a crop insurer's perspective L Porth, K Seng Tan, C Weng Agricultural Finance Review 73 (2), 310-328, 2013 | 34 | 2013 |
Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China J Lin, M Boyd, J Pai, L Porth, Q Zhang, K Wang Agricultural Finance Review 75 (1), 103-113, 2015 | 32 | 2015 |
A credibility-based Erlang mixture model for pricing crop reinsurance L Porth, W Zhu, KS Tan Agricultural Finance Review 74 (2), 162-187, 2014 | 29 | 2014 |
Meso-level weather index insurance: overcoming low risk reduction potential of micro-level approaches R Weber, W Fecke, I Moeller, O Musshoff Agricultural Finance Review 75 (1), 31-46, 2015 | 28 | 2015 |
Agricultural insurance ratemaking: development of a new premium principle W Zhu, KS Tan, L Porth North American Actuarial Journal 23 (4), 512-534, 2019 | 26 | 2019 |
A credibility-based yield forecasting model for crop reinsurance pricing and weather risk management W Zhu, L Porth, KS Tan Agricultural Finance Review 79 (1), 2-26, 2019 | 25 | 2019 |
Improving agricultural microinsurance by applying universal kriging and generalised additive models for interpolation of mean daily temperature M Roznik, C Brock Porth, L Porth, M Boyd, K Roznik The Geneva Papers on risk and Insurance-Issues and practice 44, 446-480, 2019 | 23 | 2019 |
Agricultural insurance. More room to Grow L Porth, KS Tan The Actuary Magazine 12 (2), 1-3, 2015 | 23 | 2015 |
Insurance premium calculation using credibility analysis: an example from livestock mortality insurance J Pai, M Boyd, L Porth Journal of Risk and Insurance 82 (2), 341-357, 2015 | 19 | 2015 |
Remote sensing applications for insurance: A predictive model for pasture yield in the presence of systemic weather C Brock Porth, L Porth, W Zhu, M Boyd, KS Tan, K Liu North American Actuarial Journal 24 (2), 333-354, 2020 | 18 | 2020 |
Assessing the effectiveness of the actuaries climate index for estimating the impact of extreme weather on crop yield and insurance applications Q Pan, L Porth, H Li Sustainability 14 (11), 6916, 2022 | 17 | 2022 |
A portfolio optimization approach using combinatorics with a genetic algorithm for developing a reinsurance model L Porth, J Pai, M Boyd Journal of Risk and Insurance 82 (3), 687-713, 2015 | 16 | 2015 |
The impact of spatial interpolation techniques on spatial basis risk for weather insurance: An application to forage crops M Boyd, B Porth, L Porth, D Turenne North American Actuarial Journal 23 (3), 412-433, 2019 | 15 | 2019 |
Spatial dependence and aggregation in weather risk hedging: A Lévy subordinated hierarchical Archimedean copulas (LSHAC) approach W Zhu, KS Tan, L Porth, CW Wang ASTIN Bulletin: The Journal of the IAA 48 (2), 779-815, 2018 | 15 | 2018 |
Livestock mortality insurance: development and challenges M Boyd, J Pai, L Porth Agricultural Finance Review 73 (2), 233-244, 2013 | 15 | 2013 |
The design of weather index insurance using principal component regression and partial least squares regression: the case of forage crops M Boyd, B Porth, L Porth, K Seng Tan, S Wang, W Zhu North American Actuarial Journal 24 (3), 355-369, 2020 | 14 | 2020 |
Improved index insurance design and yield estimation using a dynamic factor forecasting approach H Li, L Porth, KS Tan, W Zhu Insurance: Mathematics and Economics 96, 208-221, 2021 | 13 | 2021 |
Modelling the sustainability of the canadian crop insurance program: a reserve fund process under a public–private partnership model C Weng, L Porth, KS Tan, R Samaratunga The Geneva Papers on Risk and Insurance-Issues and Practice 42, 226-246, 2017 | 10 | 2017 |
Reducing risk through pooling and selective reinsurance using simulated annealing: An example from crop insurance L Porth, M Boyd, J Pai The Geneva Risk and Insurance Review 41, 163-191, 2016 | 10 | 2016 |