臺灣博碩士論文加值系統

本文是以美國保險監理官協會(National Association of Insurance Commissioners; NAIC)資料庫中2001年至2019年之的產險業之數據為樣本，探討保險公司的核保調查與其損失率之間的關係。本研究實證結果發現，保險公司的核保調查與其損失率之間呈現負相關的影響。本研究為了提升迴歸分析的有效性及可靠性，進一步採用控制公司變數的固定效果模型及同時控制年度與公司兩個變數的隨機效果模型來探討。本研究發現，不同的核保調查指標衡量方式，會產生不同的結果。本研究發現浄簽單保費收入面衡量方式的結果呈現顯著的負相關，但另二個費用面的衡量指標結果則為弱顯著的正相關。造成此有趣的結果，可能是因為若以淨簽單保費方面來探討，較能捕捉損失率的效果。淨簽單保費是用來評估保險公司經營狀況的工具，其主要針對當保險公司當期新承保保單數的增加，進而創造公司的利潤。因此保險公司對新承保保單的核保愈謹慎，有助於降低其所承擔的風險，進而使保險公司的損失率減少。

This paper examines the relationship between insurers' underwriting survey and their loss ratio using data from the National Association of Insurance Commissioners (NAIC) database for the period 2001 to 2019 for the property insurance industry. The empirical results of this study revealed that there is a negative correlation between underwriting survey and loss ratio of insurance companies. To enhance the validity and reliability of the regression analysis, a fixed-effects model controlling for firm variables and a random-effects model controlling for both year and firm variables is further investigated in this study.This study finds that different ways of measuring the underwriting survey indicators produce different results. A significant negative correlation was found in the net premium written revenue side of the measure, but a weakly significant positive correlation was found for the other two fee side measures. This interesting result may be due to the fact that the effect of capturing loss ratio is better when examined in terms of net premium written. Net premium written is a tool used to assess an insurer's operating condition and primarily focuses on the increase in the number of new policies written by the insurer during the period, which generates profits for the company. Therefore, the more prudent an insurer is in underwriting new policies, the more risk it can reduce its exposure to risk, which in turn reduces the insurer's loss ratio.

Chapter 1. INTRODUCTION 1
Chapter 2. LITERATURE REVIEW AND HYPOTHESIS TESTING 7
2.1 Loss Ratio literature review 7
2.2 Surveys and Underwriting Reports literature review 9
2.3 Underwriting survey and loss ratio literature review 10
Chapter 3. METHODOLOGY AND VARIABLES 13
3.1 Methodology 13
3.2 Variables 14
3.2.1 Dependent variable 14
3.2.2 Independent variables 15
3.2.3 Control variables 18
Chapter 4. DATA AND EMPIRICAL RESULTS 24
4.1 Data 24
4.1.2 Descriptive statistical analysis 25
4.1.3 Correlation test 26
4.2 Empirical Results 27
4.2.1 Regression analysis 27
4.3 Robustness Check 29
Chapter 5. CONCLUSION REMARKS 37
REFERENCE 39
APPENDIX 44

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