中文部分
余民寧 (2000)。皮爾森積差相關係數。教育大辭書。取自:http://terms.naer.edu.tw/detail/1304250/
金融監督管理委員會保險局 (2022)。保險市場重要指標。取自:https://www.fsc.gov.tw/uploaddowndoc?file=statistics/202205271626480.pdf&filedisplay=202203%E6%8C%87%E6%A8%990503_%E5%90%AB%E5%85%AC%E5%BC%8F%E5%8A%A0%E9%A0%81_%E6%AD%A3%E5%BC%8F_final%E5%80%BC_%E6%9B%B4%E6%96%B0%E8%A1%A824_24-1.pdf&flag=doc
阿格雷斯帝, 劉應興, & Agresti, A. (2003). 類別資料分析導論 (初版. ed.). 華泰.
柯嘉智 (2017)。CEO和董事會特性與資本適足率之關聯性研究-以台灣壽險業為例 國立高雄第一科技大學 (碩士)。高雄市。取自:https://hdl.handle.net/11296/mkuc93劉美纓, 吳俊賢, & 吳壽山 (2003)。銀行市場風險與適足資本之研究-內部模型法。[Market Risk and Capital Requirement for Banks the Internal Models Approach]. 台灣管理學刊, 3(1), 75-99. 取自:https://doi.org/10.6295/tamj.2003.0301.05
劉靜淳 (2002)。保險業資本適足率不得低於200%。理律法律雜誌(中文), 2002(1), 30-30-32. 取自:https://doi.org/10.29491/LLB.200201.0037
蘇恩德, 蕭惠方, & 黃宇平 (2008)。銀行最適資本與適足性之研究 [Studies of Optimal Capital and Capital Adequacy on Banks].創新與管理, 6(1), 57-87. 取自:https://doi.org/10.30118/JIM.200811.0003
英文部分
Baranoff, E. G., & Sager, T. W. (2002). The relations among asset risk, product risk, and capital in the life insurance industry. Journal of Banking & Finance, 26(6), 1181-1197. https://doi.org/https://doi.org/10.1016/S0378-4266(01)00166-2
BarNiv, R., & Hershbarger, R. A. (1990). Classifying Financial Distress in the Life Insurance Industry. The Journal of Risk and Insurance, 57(1), 110-136. https://doi.org/10.2307/252927
Bettis, R. A. (1981). Performance Differences in Related and Unrelated Diversified Firms. Strategic Management Journal, 2(4), 379-393. http://www.jstor.org.autorpa.lib.nkust.edu.tw/stable/2486200
Chen, S., Li, Z., & Li, K. (2010). Optimal investment–reinsurance policy for an insurance company with VaR constraint. Insurance: Mathematics and Economics, 47(2), 144-153. https://doi.org/https://doi.org/10.1016/j.insmatheco.2010.06.002
Cheng, J., & Weiss, M. A. (2012). The Role of RBC, Hurricane Exposure, Bond Portfolio Duration, and Macroeconomic and Industry‐wide Factors in Property–Liability Insolvency Prediction. Journal of Risk and Insurance, 79(3), 723-750.
Cummins, J. D. P., Richard D. (2009). Capital Adequacy and Insurance Risk-Based Capital Systems. Journal of Insurance Regulation.
Eling, M., & Jia, R. (2018). Business failure, efficiency, and volatility: Evidence from the European insurance industry. International Review of Financial Analysis, 59, 58-76. https://doi.org/https://doi.org/10.1016/j.irfa.2018.07.007
Engle, R. (2000). Dynamic Conditional Correlation—A Simple Class of Multivariate GARCH Models, University of California at San Diego. Economics Working Paper Series, 9.
Erola, A., Agrafiotis, I., Nurse, J. R. C., Axon, L., Goldsmith, M., & Creese, S. (2022). A system to calculate Cyber Value-at-Risk. Computers & Security, 113, 102545. https://doi.org/https://doi.org/10.1016/j.cose.2021.102545
Favre, L., & Galeano, J.-A. (2002). Mean-modified value-at-risk optimization with hedge funds. The journal of alternative investments, 5(2), 21-25.
Hopper, G. P. (1996). Value at risk: A new methodology for measuring portfolio risk. Business review(Jul), 19-31.
Jhonpita, P., Sinthupinyo, S., & Chaiyawat, T. (2012). Ordinal classification method for the evaluation of Thai non-life insurance companies. arXiv preprint arXiv:1203.6424.
Kozmenko, O., & Oliynyk, V. (2015). Statistical model of risk assessment of insurance companys functioning. Investment Management and Financial Innovations(12, Iss. 2 (contin.)), 189-194.
Lin, S.-L. (1996). Financial distress classification in the life insurance industry. Journal of Insurance Regulation, 14(3), 314.
Markowitz, H. (1952). The utility of wealth. Journal of political Economy, 60(2), 151-158.
McCullagh, P. (1980). Regression Models for Ordinal Data [https://doi.org/10.1111/j.2517-6161.1980.tb01109.x]. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109-127. https://doi.org/https://doi.org/10.1111/j.2517-6161.1980.tb01109.x
Morara, K., & Sibindi, A. B. (2021). Determinants of Financial Performance of Insurance Companies: Empirical Evidence Using Kenyan Data. Journal of Risk and Financial Management, 14(12), 566.
Müller, F. M., Santos, S. S., Gössling, T. W., & Righi, M. B. (2022). Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk. Finance Research Letters, 48, 102916. https://doi.org/https://doi.org/10.1016/j.frl.2022.102916
Pettere, G. Stochastic Risk Capital Model for Insurance Company. In Recent Advances in Stochastic Modeling and Data Analysis (pp. 114-121). https://doi.org/10.1142/9789812709691_0014
Pottier, S. W. (1997). Life Insurer Risk Characteristics and the Rating Process. Journal of Insurance Issues, 20(2), 111-130. http://www.jstor.org.autorpa.lib.nkust.edu.tw/stable/41946141
Verma, Y. (2022). A complete tutorial on Ordinal Regression in Python. https://analyticsindiamag.com/a-complete-tutorial-on-ordinal-regression-in-python/
Zangari, P. (1994). Estimating volatilities and correlations. RiskMetrics-Technical Document. 2nd edn. Morgan Guaranty, New York.