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Management of commissions to meet the regulatory requirements: the case of property–casualty insurance in China

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Abstract

We investigate how the 2009 regulatory change to the method of calculating combined ratios in the Chinese property–casualty insurance industry affected the relationship between commissions and combined ratios. We find that since the 2009 reform, the industry has shown a non-linear relationship between commissions and combined ratios. The relationship is negative (positive) when the combined ratio is higher (lower) than the regulatory threshold. Before 2009, this relationship was linear. Since 2009, when commissions increased, the combined ratio converges to the threshold. As the volatility of the combined ratio is positively related to the statutory capital required, this change provides incentives for insurers to decrease the combined ratio and/or its volatility as they seek to manage their commissions to approximate the threshold without jeopardising compliance with other regulatory requirements.

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Notes

  1. The combined ratio is the sum of the loss ratio and the expense ratio. The loss ratio is the sum of the total losses incurred and the associated adjustment expenses, divided by the premiums earned. The expense ratio is the percentage of the premium used to pay all of the costs of acquiring, writing and servicing insurance and reinsurance, including the fees and commissions paid to agents, administration fees and business taxes or surcharges. Both the loss and expense ratios are integral factors in the retrospective rating of basic premiums.

  2. More specifically, one important factor in determining a firm’s statutory capital is the volatility of the combined ratio. The more volatile the combined ratio is, the higher the statutory capital requirement, according to Kremer (1982), Renshaw (1989), Verrall (1989), Zehnwirth (1989), and Yuan (2012). The detailed method of calculation is that a lognormal distribution is used to fit the historical data on the combined ratio, and then either the 95% or the 99% percentile is the factor used to calculate the minimum capital requirement.

  3. Petroni (1992), Petroni and Beasley (1996), Penalva (1998), Petroni et al. (2000), Gaver and Paterson (2004), Eckles et al. (2011), Grace and Leverty (2012), Gaver et al. (2012), and Gaver and Paterson (2014).

  4. Petroni et al. (2000), Beaver et al. (2003), Grace and Leverty (2010), and Grace and Leverty (2012).

  5. Chen (2012, p. 25).

  6. In our earlier sample period, the lower value of the ratio of the loss reserves and premium unearned to total liabilities is due to the fact that China’s insurance market is a newly developing market. More recently, these ratios in China are more comparable to those in the U.S., e.g., loss reserves represented 38% of total liabilities, and unearned premiums were 35% for a total of 73% of total liabilities in 2014.

  7. The data used to calculate the combined ratio, including commissions, all come from the Income Statements. Only in the Introduction section do we use data from the balance sheets to illustrate that the ratio of commissions to liability is very high, facilitating comparisons of the loss reserve to liability ratio, which is frequently studied in the literature.

  8. The annual difference in the loss reserves (DLR) in our paper is analogous to the item of Loss reserve development 1 year in Schedule P-Part 2-Summary Row 12 Column 11 of the U.S. PC NAIC Annual Statement. Ratio 11 of the IRIS system in the U.S., the One-year Reserve Development to policyholders’ surplus ratio, also uses One-year Reserve Development as the numerator of the ratio. Again, this “development” value enters in the calculation of CR in China as illustrated in Table 1 and is proven in proposition 4.

  9. The exchange rates in 2003, 2008 and 2014 were 8.2767, 6.8346 and 6.119, respectively, according to People’s Bank of China.

  10. During our sample period, the means (medians) for the loss ratio and the expense ratio are 0.54 (0.53) and 0.48 (0.42), respectively. The same values for the U.S. PC industry over that same period are 0.69 and 0.27 (source: iii.org), respectively. Note that the dramatic difference is largely due to the immature insurance market in the earlier sample period. Most insurers in China are investing significantly in marketing to maintain or acquire market share in the fast-growing insurance market.

  11. For convenience here we use PW defined as the premiums registered on the books of an insurer or a reinsurer at the time a policy is issued and paid. We acknowledge that removal of these acquisition expenses affects both earned and unearned premiums. The NEAC procedures now require acquisition expenses to be removed from the unearned premium prior to being used in determining the earned premium amount (that would be used in determining the combined ratio). In the U.S. market, acquisition expenses are removed from the net written premium amount prior to differentiation between earned and unearned premiums. Nevertheless, the results are not affected, regardless of whether we use premiums written or net premiums written. The detailed proof is available upon request from the authors. We would like to thank an anonymous referee for pointing this out.

  12. From 2003 to 2014, the means of \(\theta_{t}\) were 0.44, 0.50, 0.47, 0.52, 0.61, 0.55, 0.51, 0.47, 0.49, 0.47, 0.49, and 0.48, respectively. The values of \(\theta_{t}\) after 2009 are estimations because we cannot obtain the exact data of the initial expense after 2009.

  13. Insurers implicitly have two goals in mind when managing commissions to affect combined ratios in our settings. The first objective is to meet the regulatory requirement of combined ratio in order to avoid regulatory actions. The second objective is to reduce the regulatory capital. These two goals do not conflict with each other. We would like to thank an anonymous referee for bringing these two goals to our attention.

  14. Increased commissions will lead to lower profits, but this will not have a significant impact on attracting investors. First, a high level of commissions might signal that insurance companies are increasing their market shares through aggressive marketing strategies. This is particularly important to potential investors in the current Chinese insurance market. Second, according to Proposition 3, in the post-NEAC era, profit is less sensitive to the changes in commissions, i.e., the decrease in profit due to the increase in commissions is smaller in magnitude. Finally, major investors of insurers in China are government agencies and large institutional investors. They are financially sophisticated enough to detect insurers’ commission management. If commission management can reduce regulatory costs, mature investors will not care about short-term reported underwriting performance. It is plausible that an insurer is more concerned about reducing real regulatory costs than “reported” underwriting performance to attract investors.

  15. Beaver et al. (2003).

  16. Note that PC insurance companies have formally adopted the NEAC and the associated NISR since 2009. The NEAC was issued in 2006 by the Chinese Ministry of Finance, with the Accounting Standards Interpretation (ASI) No. 2 being issued in August 2008. However, it was not until Jan. 1, 2009 that “The Implementation of ASI No. 2 to the Insurance Industry” was issued, which required all insurance companies operating in China to follow the new accounting policies. In the same year, NISR (JR/T0047-2009) was issued and enforced by the Insurance Technical Committee of National Committee on the Standardization of Finance.

  17. The total number of insurers in the four states are 41, 20, 25, 29, respectively, with 21, 12, 13, 15 in 2003–2008, and 34, 15, 15, 23 in 2009–2014, respectively.

  18. Many researchers show that combined ratios and loss ratios have an autocorrelation (Venezian 1985; Cummins and Outreville 1987; Doherty and Kang 1988; Harrington and Niehaus 2000; Meier 2006).

  19. In general, if PC insurance companies prepay \(\Delta Fc\) more commissions to intermediaries in year t − 1, then \(\Delta Fc\) will be saved in year t. So, \(Fc_{t}\) and \(Fc_{t - 1}\) are negatively correlated, i.e., \(\frac{{dFc_{t} }}{{dFc_{t - 1} }} < 0\).

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Acknowledgements

We benefitted from the discussions with and comments from seminar participants at the second Shanghai Risk Forum. Jiang Cheng acknowledges the financial support from National Natural Science Foundation of China (Grant No. 71573164).

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Appendix

Appendix

Proof of Proposition 1

  1. (1)

    According to Table 1, in the pre-NEAC era,

$$UPR_{t} = PW_{t} \cdot \theta_{t} \,,\,\,PE_{t} = PW_{t} - (UPR_{t} - UPR_{t - 1} ) = PW_{t} (1 - \theta_{t} ) + PW_{t - 1} \theta_{t - 1} ,$$
$$\begin{aligned} CR_{t} & = \frac{{PC_{t} + DLR_{t} }}{{PE_{t} }} + \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }}, \\ & \Rightarrow \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PW_{t} }} > 0, \\ \end{aligned}$$

i.e., the combined ratios and the commissions are positively correlated.

  1. (2)

    In the post-NEAC era,

$$UPR_{t} = (PW_{t} - Fc_{t} - E_{t} ) \cdot \theta_{t} ,$$
$$\begin{aligned} PE_{t} & = PW_{t} - (UPR_{t} - UPR_{t - 1} ) \\ & = PW_{t} (1 - \theta_{t} ) + (Fc_{t} + E_{t} )\theta_{t} + (PW_{t - 1} - Fc_{t - 1} - E_{t - 1} )\theta_{t - 1} \\ & = PW_{t} (1 - \theta_{t} ) + (Fc_{t} + E_{t} )\theta_{t} + (PW_{t - 1} - f^{ - 1} (Fc_{t} ) - E_{t - 1} )\theta_{t - 1} \\ \end{aligned}$$

\(Fc_{t} = f(Fc_{t - 1} )\) is a functional relationship between the commissions of year \(t\) and year \(t - 1\). \(Fc_{t - 1} = f^{ - 1} (Fc_{t} )\) is the inverse function.Footnote 18

$$\begin{aligned} CR_{t} & = \frac{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PE_{t} }} = \frac{{C_{t} }}{{PE_{t} }}, \\ & \Rightarrow \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} = \frac{{PE_{t} - C_{t} [\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} ]}}{{PE_{t}^{2} }} \\ & = \frac{1}{{PE_{t} }}\left[ {1 - \frac{{C_{t} }}{{PE_{t} }} \cdot (\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} )} \right] \\ & = \frac{1}{{PE_{t} }}\left[ {1 - CR_{t} \cdot (\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} )} \right] \\ & = \frac{1}{{PE_{t} }}\left[ {1 - CR_{t} \cdot \frac{1}{{\mu_{t} }}} \right] \\ \end{aligned}$$

where \(\mu_{t} = \displaystyle \frac{1}{{\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} }}\).

Obviously, \(PE_{t} > 0\), \(\theta_{t} \in (0,1)\).Footnote 19

$$\frac{{dFc_{t} }}{{dFc_{t - 1} }} = f^{\prime}(Fc_{t - 1} ) < 0 \Rightarrow (f^{ - 1} (Fc_{t} ))^{\prime} = \frac{1}{{f^{\prime}(Fc_{t - 1} )}} < 0$$

So \(0 < \mu_{t} = \displaystyle \frac{1}{{\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} }} < \frac{1}{{\theta_{t} }}\).

Therefore,

when \(CR_{t} < \mu_{t}\), \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} > 0\), \(CR_{t}\) is monotonically increasing with \(Fc_{t}\), i.e., the higher the fees and commissions, the higher the combined ratio;

when \(CR_{t} > \mu_{t}\),\(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} < 0\), \(CR_{t}\) is monotonically decreasing with \(Fc_{t}\), i.e., the higher the commissions, the lower the combined ratio;

and when \(Fc_{t} \to + \infty\), \(CR_{t} \to \mu_{t} = \displaystyle \frac{1}{{\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} }}\).

Proof of Proposition 2

  1. (1)

    In the pre-NEAC era,

$$\begin{aligned} ER_{t} & = \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }}, \\ & \Rightarrow \frac{{\partial ER_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PW_{t} }} > 0 \\ \end{aligned}$$

i.e., the expense ratios and commissions are positively correlated.

  1. (2)

    In the post-NEAC era,

$$\begin{aligned} ER_{t} & = \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PE_{t} }}, \\ & \Rightarrow \frac{{\partial ER_{t} }}{{\partial Fc_{t} }} = \frac{{PE_{t} - (Fc_{t} + E_{t} + E^{\prime}_{t} )[\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} ]}}{{PE_{t}^{2} }} \\ & = \frac{1}{{PE_{t} }}\left[ {1 - \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PE_{t} }} \cdot (\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} )} \right] \\ & = \frac{1}{{PE_{t} }}\left[ {1 - ER_{\text{t}} \cdot \frac{1}{{\mu_{t} }}} \right] \\ \end{aligned}$$

where \(\mu_{t} = \displaystyle \frac{1}{{\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} }}\).

Therefore,

when \(ER_{t} < \mu_{t}\), \(\displaystyle \frac{{\partial ER_{t} }}{{\partial Fc_{t} }} > 0\), \(ER_{t}\) is monotonically increasing with \(Fc_{t}\), i.e., the higher the fees and commissions, the higher the expense ratio;

when \(ER_{t} > \mu_{t}\), \(\displaystyle \frac{{\partial ER_{t} }}{{\partial Fc_{t} }} < 0\), \(ER_{t}\) is monotonically decreasing with \(Fc_{t}\), i.e., the higher the commissions, the lower the expense ratio;

and when \(Fc_{t} \to + \infty\), \(ER_{t} \to \mu_{t}\).

Proof of Proposition 3

According to Table 1, in the pre-NEAC era,

$$\begin{aligned} Profit_{t} & = PE_{t} - C_{t} \\ & = PW_{t} (1 - \theta_{t} ) + PW_{t - 1} \cdot \theta_{t - 1} \\ & \quad - \left( {PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} } \right) \\ \end{aligned}$$
$$\frac{{\partial Profit_{t} }}{{\partial Fc_{t} }} = - 1 < 0.$$

In the post-NEAC era,

$$\begin{aligned} Profit_{t} & = PE_{t} - C_{t} \\ & = PW_{t} (1 - \theta_{t} ) + (Fc_{t} + E_{t} )\theta_{t} + (PW_{t - 1} - f^{ - 1} (Fc_{t} ) - E_{t - 1} )\theta_{t - 1} \\ & \quad - \left( {PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} } \right) \\ \end{aligned}$$
$$\displaystyle \frac{{\partial Profit_{t} }}{{\partial Fc_{t} }} = - \left( {1 - \frac{1}{{\mu_{t} }}} \right)$$

.


As in Proposition 1, we have proven that \(0 < \mu_{t} < \frac{1}{{\theta_{t} }}\), so \(1 - \frac{1}{{\mu_{t} }} < 1\);

i.e., in the post-NEAC era, profits and commissions are still negatively and linearly correlated, but the sensitivity between them is decreased.

Proof of Proposition 4

According to Table 1, in the pre-NEAC era,

$$\begin{aligned} CR_{t} & = \frac{{PC_{t} + DLR_{t} }}{{PE_{t} }} + \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }} \\ & \Rightarrow \frac{{\partial CR_{t} }}{{\partial DLR_{t} }} = \frac{1}{{PE_{t} }}. \\ \end{aligned}$$

In the post-NEAC era,

$$\begin{aligned} CR_{t} & = \frac{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PE_{t} }} \\ & \Rightarrow \frac{{\partial CR_{t} }}{{\partial DLR_{t} }} = \frac{1}{{PE_{t} }} \\ \end{aligned}$$

Therefore, in both the pre- and the post-NEAC eras, loss reserves and combined ratios are positively and linearly correlated. However, in the post-NEAC era, the premiums earned, \(PE_{t}\), increases, i.e., the sensitivity of the combined ratios to loss reserves decreases due to the initial expenses such as commissions.

It is worth noting that premiums written and premiums earned are not affected by the DLR. Premiums earned is only affected by the UPR, and premiums written is not affected by any other items.

Proof of Proposition 5

  1. (1)

    According to Table 1, in the pre-NEAC era,

$$\begin{aligned} APE_{t} & = PW_{t} - UPR_{t} = PW_{t} (1 - \theta_{t} ),\,\,\,\,ACR_{t} = \frac{{PC_{t} + DLR_{t} }}{{APE_{t} }} + \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }}, \\ & \Rightarrow \frac{{\partial ACR_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PW_{t} }} > 0, \\ \end{aligned}$$

i.e., the adjusted combined ratios and commissions are positively and linearly correlated.

  1. (2)

    In the post-NEAC era,

$$\begin{aligned} APE_{t} & = PW_{t} - UPR_{t} = PW_{t} (1 - \theta_{t} ) + (Fc_{t} + E_{t} )\theta_{t} , \\ ACR_{t} & = \frac{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }}{{APE_{t} }} = \frac{{C_{t} }}{{APE_{t} }}, \\ & \Rightarrow \frac{{\partial ACR_{t} }}{{\partial Fc_{t} }} = \frac{{APE_{t} - C_{t} \cdot \theta_{t} }}{{APE_{t}^{2} }} = \frac{1}{{APE_{t} }}\left( {1 - \frac{{C_{t} }}{{APE_{t} }} \cdot \theta_{t} } \right) = \frac{1}{{APE_{t} }}\left( {1 - ACR_{t} \cdot \theta_{t} } \right) \\ \end{aligned}$$

Obviously, \(APE_{t} > 0\), \(\theta_{t} \in (0,1)\), so

when \(\displaystyle ACR_{t} < \frac{1}{{\theta_{t} }}\), \(\displaystyle \frac{{\partial ACR_{t} }}{{\partial Fc_{t} }} > 0\), \(ACR_{t}\) is monotonically increasing with \(Fc_{t}\), i.e., the higher the commissions, the higher the combined ratio;

when \(\displaystyle ACR_{t} > \frac{1}{{\theta_{t} }}\), \(\displaystyle \frac{{\partial ACR_{t} }}{{\partial Fc_{t} }} < 0\), \(ACR_{t}\) is monotonically decreasing with \(Fc_{t}\), i.e., the higher the commissions, the lower the combined ratio;

and when \(Fc_{t} \to + \infty\), \(ACR_{t} \to \frac{1}{{\theta_{t} }}\).

  1. (3)

    According to Table 1, in the post-NEAC era,

$$\begin{aligned} \frac{1}{{CR_{t} }} & & = \frac{1}{{ACR_{t} }} + \frac{{UPR_{t - 1} }}{{C_{t} }} & = \frac{1}{{ACR_{t} }} + \frac{{(PW_{t - 1} - Fc_{t - 1} - E_{t} ) \cdot \theta_{t - 1} }}{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }} \\ & & & \Rightarrow \displaystyle \mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \frac{1}{{CR_{t} }} = \displaystyle \mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \left[ {\frac{1}{{ACR_{t} }} + \frac{{(PW_{t - 1} - Fc_{t - 1} - E_{t} ) \cdot \theta_{t - 1} }}{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }}} \right]. \\ \end{aligned}$$

As has been proven, when \(Fc_{t} \to + \infty\), \(ACR_{t} \to \frac{1}{{\theta_{t} }}\),

$${\text{i}}.{\text{e}}.,\,\,\,\mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \frac{1}{{ACR_{t} }} = \theta_{t}$$
(i)

and \(\frac{{dFc_{t} }}{{dFc_{t - 1} }} < 0\), when \(Fc_{t} \to + \infty\),\(Fc_{t - 1} = f^{ - 1} (Fc_{t} ) \to - \infty\).

According to L’Hospital’s rule,

$$\begin{aligned} & \Rightarrow \mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \frac{{(PW_{t - 1} - Fc_{t - 1} - E_{t} ) \cdot \theta_{t - 1} }}{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }} & = \mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \frac{{(PW_{t - 1} - f^{ - 1} (Fc_{t} ) - E_{t} ) \cdot \theta_{t - 1} }}{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}_{t} }} \\ & & = \mathop {\lim }\limits_{{Fc_{t} \to + \infty }} \left[ { - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} } \right] \\ \end{aligned}$$
(ii)

According to (i) and (ii), we can see that when \(Fc_{t} \to + \infty\),

$$\frac{1}{{CR_{t} }} \to \theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1}$$
$${\text{i}}.{\text{e}}.,\,\,\,\,CR_{t} \to \frac{1}{{\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} }} = \mu_{t}$$
(iii)

Therefore, according to (i) and (iii), when \(ACR_{t} \to \frac{1}{{\theta_{t} }}\), \(CR_{t} \to \mu_{t}\),

i.e., the threshold of the adjusted combined ratio \(\frac{1}{{\theta_{t} }}\) and that of the combined ratio \(\mu_{t}\) have a one-to-one correspondence.

Proof of Proposition 6

Assume that the premium growth rate is \(\lambda_{t}\), i.e., \(PW_{t} = (1 + \lambda_{t} )PW_{t - 1}\)

$$\begin{aligned} APE_{t} & = \frac{1}{2}PW_{t} ,\,UPR_{t} = \frac{1}{2}PW_{t} \\ CR_{t} & = \frac{{C_{t} }}{{PE_{t} }} = \frac{{C_{t} }}{{PW_{t} - UPR_{t} + UPR_{t - 1} }} = \frac{{C_{t} }}{{\frac{1}{2}PW_{t} + \frac{1}{2}PW_{t - 1} }} \\ & = \frac{{C_{t} }}{{\frac{1}{2}PW_{t} \cdot \left( {1 + \frac{1}{{1 + \lambda_{t} }}} \right)}} = \left( {\frac{{1 + \lambda_{t} }}{{2 + \lambda_{t} }}} \right)\frac{{C_{t} }}{{\frac{1}{2}PW_{t} }} \\ & = \left( {\frac{{1 + \lambda_{t} }}{{2 + \lambda_{t} }}} \right)\frac{{C_{t} }}{{APE_{t} }} = \left( {\frac{{1 + \lambda_{t} }}{{2 + \lambda_{t} }}} \right)ACR_{t} \\ \end{aligned}$$

When \(\lambda_{t} = 6.91\%\) and \(ACR_{t} = \frac{1}{{\theta_{t} }} = 2\), \(CR_{t} = \mu_{t} = 1.03\).

Proof of Proposition 7

We denote the adjusted combined ratios in the pre- and post-NEAC eras as \(ACR_{t}^{old}\) and \(ACR_{t}^{new}\), respectively, and \(\alpha_{t}\) is the proportion of initial expenses to premiums written.

$$\begin{aligned} ACR_{t}^{old} & = \frac{{C_{t} }}{{APE_{t}^{old} }} = \frac{{C_{t} }}{{(1 - \theta_{t} )PW_{t} }}, \\ ACR_{t}^{new} & = \frac{{C_{t} }}{{APE_{t}^{new} }} = \frac{{C_{t} }}{{PW_{t} - (PW_{t} - \alpha_{t} PW_{t} )\theta_{t} }}. \\ \end{aligned}$$

When \(ACR_{t}^{new} = \displaystyle \frac{1}{{\theta_{t} }}\), we have \(\displaystyle \frac{{C_{t} }}{{PW_{t} }} = \frac{{1 - (1 - \alpha_{t} )\theta_{t} }}{{\theta_{t} }}\).

Therefore, \(ACR_{t}^{old} = \frac{1}{{\theta_{t} }} + \frac{{\alpha_{t} }}{{1 - \theta_{t} }}\).

Proof of Proposition 8

If NISR had not been implemented, then

$$CR_{t} = \frac{{PC_{t} + DLR_{t} }}{{PE_{t} }} + \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }}$$

In the pre-NEAC era, \(PE_{t} = PW_{t} - \left( {UPR_{t} - UPR_{t - 1} } \right)\), \(UPR_{t} = PW_{t} \cdot \theta_{t}\)

then, \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PW_{t} }}\)

In the post-NEAC era, \(PE_{t} = PW_{t} - \left( {UPR_{t} - UPR_{t - 1} } \right)\), \(UPR_{t} = \left[ {PW_{t} - \left( {Fc_{t} + E_{t} } \right)} \right] \cdot \theta_{t} + RM_{t}\)

then \(\begin{aligned} \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} & = - \frac{{PC_{t} + DLR_{t} }}{{PE_{t}^{2} }}\left( {\theta_{t} - (f^{ - 1} (Fc_{t} ))^{\prime} \cdot \theta_{t - 1} } \right) + \frac{1}{{PW_{t} }} \\ & = - \frac{{LR_{t} }}{{PE_{t} \cdot \mu_{t} }} + \frac{1}{{PW_{t} }}, \\ \end{aligned}\)

where \(LR_{t} = \displaystyle \frac{{PC_{t} + DLR_{t} }}{{PE_{t} }}\), i.e., Loss Ratio

Obviously, even if we do not change NISR, in the post-NEAC era,

when \(LR_{t} < \displaystyle \frac{{PE_{t} }}{{PW_{t} }} \cdot \mu_{t}\), \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} > 0\), \(CR_{t}\) is monotonically increasing with \(Fc_{t}\), i.e., the higher the fees and commissions, the higher the combined ratio;

when \(LR_{t} > \displaystyle \frac{{PE_{t} }}{{PW_{t} }} \cdot \mu_{t}\), \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} < 0\), \(CR_{t}\) is monotonically decreasing with \(Fc_{t}\), i.e., the higher the commissions, the lower the combined ratio.

Proof of Proposition 9

If NEAC had not been implemented, then

$$PE_{t} = PW_{t} - \left( {UPR_{t} - UPR_{t - 1} } \right),\,\,\,UPR_{t} = PW_{t} \cdot \theta_{t}$$

In the pre-NISR era, \(CR_{t} = \displaystyle \frac{{PC_{t} + DLR_{t} }}{{PE_{t} }} + \frac{{Fc_{t} + E_{t} + E^{\prime}_{t} }}{{PW_{t} }}\)

then \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PW_{t} }}\)

In the post-NISR era, \(CR_{t} = \displaystyle \frac{{PC_{t} + DLR_{t} + Fc_{t} + E_{t} + E^{\prime}}}{{PE_{t} }}\)

then, \(\displaystyle \frac{{\partial CR_{t} }}{{\partial Fc_{t} }} = \frac{1}{{PE_{t} }}\)

Obviously, \(\displaystyle \frac{1}{{PE_{t} }} > \frac{1}{{PW_{t} }}\)

Therefore, if NEAC had not been implemented (in either the pre- or the post-NISR era), then the commissions and the combined ratios would be linearly and positively correlated. However, in the post-NISR era, the combined ratios would be more sensitive to commissions.

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Wang, K., Fang, L. & Cheng, J. Management of commissions to meet the regulatory requirements: the case of property–casualty insurance in China. Geneva Pap Risk Insur Issues Pract 45, 508–534 (2020). https://doi.org/10.1057/s41288-020-00161-y

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