The Landscape of Micro-Insurance in South Africa.

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The Landscape of Micro-Insurance in South Africa. Ola Oyekan Research & Development Specialist RGA SA

Outline Background Composition of the South African micro-insurance market Profitability. Research Methods Hypotheses Key Findings and Recommendations Distribution channels Regulatory Framework Current vs. Proposed Regulation Implications and Opportunities for existing Insurers Conclusions 2

Background Definition the protection of low-income people against specific perils in exchange for regular premiums proportionate to the likelihood and cost of the risk involved Churchill (2007) insurance that is accessed by the low-income population (also known as the mass market), provided by a variety of different providers and managed in accordance with generally accepted insurance practice - South African National treasury (2011) 3

Background cont. Estimated market potential of 4 billion policies (USD$ 40 billion) globally, and annual growth rates of 10% - Lloyd s of London (2009) poverty line 24.3million people South African Estimates USD$ 4/day (R1,300pm) USD$ 2/day (R600pm) High Income (conventional market) Middle to Lower Income (micro-insurance market) Global Estimates 2.6 billion people USD$ 33 billion market USD$ 1.25/day (R420pm) 7 million people Low Income 1.4 billion people USD$ 7 billion market Source: World Bank (2005,2012). Potential Estimates of the Global /South African Micro-Insurance Market. 4

Composition of the South African micro-insurance market Micro-insurance usage % of Adults 35 30 25 Informal 20 15 10 5 Formal Non-Life 2% 41% Life 9% Credit Life Funeral 48% 10% Corporate 90% Mutuals Compulsory 41% Voluntary 59% 0 Source: Bester et al. (2009), Finscope (2013) 5

Source: Bester et al. (2009). Size and composition of the micro-insurance market across sample countries. 6

Profitability 7

Overarching questions Can micro-insurance be profitable for commercial insurance providers? What are the factors that the drive profitability/ business success of micro-insurance? 8

Research Methods Data Sample life insurance firms in South Africa and Nigeria product lines; credit-life, funeral, savings-linked. firm-level financial data 60 life insurers over the period of 2005-2010 unbalanced panel data of 303 firm-year observations. Definition of micro-insurance in South Africa vs. Nigeria. Assumptions and Limitations Definition of Profitability, Data Constraints, Focus on financial (quantitative) factors. 9

Model Specification Profit = α +β 1 Cost Efficiency + β 2 Ownership + β 3 Leverage + β 4 Reinsurance + β 6 {Control variables} + u it Feasible Generalised Least Squares (FGLS) is employed to estimate the model 10

Hypotheses Cost Efficiency H1: A positive relation between cost efficiency and the profitability of micro-life insurers is likely to exist. ln Cost i =ln Cost (outputs i,р(input prices) i )+ v i + u i Frontier Efficiency Estimation where; ln Cost i - observed total costs ln Cost (outputs i,р(input prices) i ) - cost function outputs - gross premiums and investment income input prices cost of debt,equity and labour v i - random error term; u i - cost efficiency estimate 11

Hypotheses cont. Ownership Structure H2a: Public stock micro-life insurers are likely to be more profitable than public stock firms. H2b: Firms with stock privately owned by management are likely to be more profitable than firms with stock owned by large institutional investors such as banks, insurance firms etc. D p - public insurers; D pm - private firms with shareholdings mainly by management; D pb - private firms with shareholdings mainly by banks; D po - private firms with shareholdings mainly by other institutional investors. 12

Hypotheses.cont. Leverage H3: A positive relation between leverage and the profitability of micro-life insurers is likely to exist. Reinsurance H4: A negative relation between reinsurance and the profitability of micro-life insurers is likely to exist. 13

Control Variables Size = ln (Total Assets) Product Mix = Herfindahl concentration index Age = ln(number of years since establishment) Time Effects = dummy variables for each year to proxy for macroeconomic factors which are cross-sectionally constant. 14

Results - Descriptive Statistics Source: Research Data. This table presents the descriptive statistics of South African micro-life insurers, 2005-2010. 15

Results - Profitability Source: Research Data. Snapshot of average claims, expenses and net income of South African micro-life insurers,2005-2010. 16

Results - Multivariate Statistics Source: Research Data. This table reports the results of the feasible generalised least squares (FGLS) estimation of the model. ***, **, and * indicate the significance of the test results at the 1%, 5% and 10 % levels respectively. 17

Key Findings and Recommendations Micro-insurance products can be profitable for commercial insurers - average profitability at 10 percent. Cost efficiency, reinsurance, ownership form and leverage are drivers of the profitability. The micro-life insurance industry in South Africa is on average 58 percent cost efficient. Reinsurance is beneficial in providing capacity, scale and technical expertise. 18

Key Findings and Recommendations cont. Micro-life insurers which are owned by institutional investors are found to have higher profitability. Smaller micro-life insurers found to be more profitable than larger firms. Diversification is beneficial. That is, multi-line insurers are more profitable than concentrated/mono-line insurers. 19

Distribution Channels Adapted from: McCord et. al (2012). Distribution channels for micro-insurance in Africa by region. 20

Distribution Channels cont. Adapted from: : TNS(2013). Mobile phone penetration in selected African countries 21

Regulation 22

Micro-Insurance Regulation Countries with micro-insurance regulation/guidelines: India 2005, Philippines- 2006, 2010 Mexico- 2008 Peru- 2007 Taiwan- 2009 Brazil - 2012 Nigeria 2013 Countries considering micro-insurance regulation South Africa Pakistan CIMA countries 14 Francophone countries 23

Current regulation Assistance policies Friendly Societies Financial Sector Charter (2012)- access targets for insurers in the low income market. Zimele and Mzansi product standards (2007) How successful were the Zimele standards? 24

Proposed Regulation Micro-Insurance Regulatory framework: Draft legislation, 2012 tabling to Parliament, 2013 Implementation, 2013/2014. Product features and standards: Risk Only Benefits- sum assured basis capped for individuals at R50K(Life),R50K(Living benefits) and R100K(Non-life). Contract term- 12 months max. (renewable) Waiting periods- 6 months No exclusions for pre-existing conditions Right to monetary benefit Grace period - 6 months max. Target market not limited to LSM 1-5 Simple and easy to understand TCs 25

Proposed Regulation.cont. Distribution Streamlined FAIS requirements Uncapped commission except for credit linked and embedded products Prudential requirements R3 million upfront capital Simpler capital, reserving and CG requirements Exempted from SAM Pillar 1 Only one license required for both short and long term products. Reinsurance not compulsory but may be enforced. Institutional forms Public and private companies Member-based organisations must be registered under the Cooperative Act (Friendly Societies Act repealed) 26

Implications of MI Regulation for Existing Insurers Assistance business category removed. Must obtain a separate micro-insurance license or convert to a micro-insurer. May underwrite part of the risk of micro-insurers, but will be required to obtain a micro-insurance licence. Allowed to continue to underwrite groups or entities in the low income market. Reinsurers are allowed to reinsure micro-insurers with existing licence. 27

Opportunities for Existing Insurers Uncapped commissions Diversification across product lines Cross-selling opportunities Partnership with smaller informal providers. Lower capital and reporting requirements. 28

Conclusions Potential market for micro-insurance in the middle to low income segments of the population. South Africa has one of the highest penetration rates of microinsurance which is mainly through funeral policies. Micro-insurance products can be profitable for commercial insurers. Cost efficiency is the main driver of profitability, hence insurers should search for ways to improve cost. The regulation of micro-insurance market offers opportunities for commercial insurers competitive advantage. 29

Thanks for your attention. 30