Sales forecasting for life insurance on primary and supplementary policies using seasonal and trend methods

被引:0
|
作者
Boonsom, Panrawe [1 ]
Wongyai, Chanin [2 ]
Srimoon, Duang-arthit [2 ]
机构
[1] Rangsit Univ, Coll Engn, Student Master Elect & Comp Engn Program, 52-347 Muang Ake,Phaholyothin Rd, Pathum Thani 12000, Thailand
[2] Rangsit Univ, Coll Engn, Fac Comp Engn, 52-347 Muang Ake,Phaholyothin Rd, Pathum Thani 12000, Thailand
关键词
Forecasting; Holt Winters' Additive; Holt Winters' Multiplicative; Simple Exponential Smoothing and Double Exponential Smoothing;
D O I
10.1109/APPEEC57400.2023.10561992
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Sales of insurance are collected monthly or yearly as statistics which most insurance companies haven't estimated the sales for the next year. The current sales of insurance make it difficult to evaluate the market and organize various campaigns for customers. Therefore, this research has collected sales of life insurance from the website of the Office of Insurance Commission from the year 2018 - 2022. The forecasting of sales for life insurance using 4 forecasting methods which are Holt Winters' Additive, Holt Winters' Multiplicative, Simple Exponential Smoothing, and Double Exponential Smoothing. These forecasting methods are used to forecast insurance premiums one year ahead from the year 2021. The computation of total sales for 3 insurance types which are Primary-General, Primary, and Additional found that the Holt Winters' Multiplicative method is the best forecasting method with an accuracy percentage for forecasting methods of 97.56%.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Enhanced Long-term and Snow-based Streamflow Forecasting by Artificial Intelligent Methods Using Satellite Imagery and Seasonal Information
    Esmaeelzadeh, R.
    Golian, S.
    Sharific, S.
    Bigdel, B.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2021, 46 (06) : 396 - 402
  • [42] Enhanced Long-term and Snow-based Streamflow Forecasting by Artificial Intelligent Methods Using Satellite Imagery and Seasonal Information
    R. Esmaeelzadeh
    S. Golian
    S. Sharific
    B. Bigdel
    Russian Meteorology and Hydrology, 2021, 46 : 396 - 402
  • [43] Annual, Seasonal and Monthly Trend Analysis of Temperature in Kazakhstan During 1970–2017 Using Non-parametric Statistical Methods and GIS Technologies
    Ishfaq Farooq
    Abdul Rauf Shah
    Kashif Majeed Salik
    Mujtaba Ismail
    Earth Systems and Environment, 2021, 5 : 575 - 595
  • [44] Annual, Seasonal and Monthly Trend Analysis of Temperature in Kazakhstan During 1970-2017 Using Non-parametric Statistical Methods and GIS Technologies
    Farooq, Ishfaq
    Shah, Abdul Rauf
    Salik, Kashif Majeed
    Ismail, Mujtaba
    EARTH SYSTEMS AND ENVIRONMENT, 2021, 5 (03) : 575 - 595
  • [45] Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition
    Boddu, Yuvaraja
    Manimaran, A.
    Arunkumar, B.
    Sucharitha, M.
    Suresh Babu, J.
    IEEE ACCESS, 2024, 12 : 189233 - 189252
  • [46] PRIMARY TRANSPORT IN ACUTE PATIENTS - OPTIMAL USE OF LIFE-SAVING METHODS USING THE EXAMPLE OF THE GRAUBUNDEN CANTON
    MATTER, P
    LAUBER, A
    HELVETICA CHIRURGICA ACTA, 1984, 51 (02) : 157 - 160
  • [47] Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
    Şahin, Utkucan
    Ballı, Serkan
    Chen, Yan
    Applied Energy, 2021, 302
  • [48] Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
    Sahin, Utkucan
    Balli, Serkan
    Chen, Yan
    APPLIED ENERGY, 2021, 302
  • [49] Geographic heterogeneity of activation functions in urban real-time flood forecasting: Based on seasonal trend decomposition using Loess-Temporal Convolutional Network-Gated Recurrent Unit model
    Huan, Songhua
    JOURNAL OF HYDROLOGY, 2024, 636
  • [50] Bleeding out the quality-adjusted life years: evaluating the burden of primary dysmenorrhea using time trade-off and willingness-to-pay methods
    Rencz, Fanni
    Pentek, Marta
    Stalmeier, Peep F. M.
    Brodszky, Valentin
    Ruzsa, Gabor
    Gradvohl, Edina
    Baji, Petra
    Gulacsi, Laszlo
    PAIN, 2017, 158 (11) : 2259 - 2267