Valuation and Value Creation of Insurance Intermediaries
Summary
Excerpt
Table Of Contents
- Cover
- Title
- Copyright
- About the author(s)/editor(s)
- About the book
- This eBook can be cited
- Acknowledgements
- Overview of Contents
- Table of Contents
- List of Figures
- List of Tables
- List of Abbreviations
- 1 Introduction
- 1.1 Motivation and Objectives
- 1.2 Approach and Course of Analysis
- 2 Agents and Brokers in the Insurance Industry: an Intriguing Area for further Research
- 2.1 Definition and Business Description
- 2.1.1 Insurance Intermediaries as Channel for Insurance Distribution
- 2.1.2 Activities and Functions of Insurance Intermediaries
- 2.1.3 Key Differences between Agents and Brokers
- 2.2 Market Overview
- 2.2.1 Reach and Relevance in Europe and North America
- 2.2.2 Relevant Segments and Players in the Insurance Intermediary Market
- 2.2.3 Status Quo of Consolidation and Competition
- 2.3 Challenges and Strategies for Counteraction
- 3 Valuation of Small and Medium-Sized Insurance Brokers: Establishing a Valuation Approach for Business Succession
- 3.1 Introduction
- 3.2 Theoretical Background and Literature Review
- 3.2.1 Value Concepts and Reasons for Valuation
- 3.2.2 Relevant Valuation Approaches
- 3.2.2.1 The Asset Approach
- 3.2.2.2 The Income Approach
- 3.2.2.3 The Market Approach
- 3.2.2.4 Mixed Approach to Company Valuation
- 3.2.3 Literature Review
- 3.3 Assessment of Specificities of Broker Valuation
- 3.3.1 Specifics of Brokers for Valuation Purposes
- 3.3.2 Assessment of Valuation Methods for the Application in Insurance Broker Valuation
- 3.4 Concretion of Selected Valuation Methods for Insurance Broker Valuation
- 3.4.1 Dividend Discount Method
- 3.4.2 “Umsatzwertverfahren”
- 3.4.3 Recent Acquisition Method
- 3.5 Summary and Conclusions
- 4 Value Creation in Insurance Intermediary Mergers and Acquisitions: an Opportunity for Realizing Positive Abnormal Returns
- 4.1 Introduction
- 4.2 M&A Activity and Status of Consolidation
- 4.3 Literature Review and Status Quo of Empirical Research
- 4.3.1 Motives for Mergers and Acquisitions
- 4.3.2 Wealth Creation in Insurance Intermediary M&A
- 4.3.3 Value Determinants in Insurance Intermediary M&A
- 4.4 Research Hypotheses
- 4.5 Methodology and Data Sample
- 4.5.1 Data Sources and Data Sample
- 4.5.2 Analysis of Value Implications
- 4.5.3 Analysis of Determinants of Value Creation
- 4.6 Empirical Results
- 4.6.1 Results on Value Implications
- 4.6.2 Results on Value Determinants
- 4.7 Summary and Conclusions
- 5 Performance Transformation in the Tied Agent Channel: Achieving a step-change in Tied Agent Productivity
- 5.1 Introduction
- 5.2 Performance Transformation in the Tied Agent Channel
- 5.3 Creating Transparency: Analysis of Agency Performance
- 5.3.1 Diagnostic of Tied Agent Channel Performance
- 5.3.2 Empirical Research on Tied Agent Channel Performance
- 5.3.3 Analysis of Drivers of Tied Agent Performance
- 5.3.3.1 Data Sources and Data Base
- 5.3.3.2 Methodology Specification
- 5.3.3.3 Performance Measures and Determinants
- 5.3.4 Empirical Results on Performance Determinants in the Tied Agent Channel
- 5.4 Designing the Program: Development of concrete Measures for Performance Improvements
- 5.4.1 Operational Levers
- 5.4.2 Structural Levers
- 5.5 Prototyping and Piloting: Preparation of Transformation
- 5.6 Rollout: Implementation of Transformation
- 5.7 Summary and Conclusions
- 6 Summary and Concluding Remarks
- Appendix
- Publication Bibliography
Figure 1: Course of analysis, applied methodology, and data sets of this doctoral thesis
Figure 2: Relevant distribution channels in the insurance industry
Figure 3: Business activities of intermediaries from the view of different stakeholders along the insurance cycle
Figure 4: Characteristics and differences of tied agents, multi-tied agents, and brokers
Figure 5: Average commission rates by intermediary type and product category
Figure 6: Insurance intermediaries in Germany
Figure 7: Channel distribution in the European non-life insurance market
Figure 8: Channel distribution in the European life insurance market
Figure 9: Insurance channel distribution in North America
Figure 10: Characteristics of relevant broker segments
Figure 11: Size of intermediaries by number of employees, revenue, and income
Figure 12: Challenges in the intermediary industry
Figure 13: Intermediary market development
Figure 14: Age structure of German insurance intermediaries
Figure 15: Systematisation of reasons for valuation
Figure 16: Implications of objectified in contrast to subjective valuation theory
Figure 17: Relationship between value and price
Figure 18: Systematization of valuation approaches and methodologies
Figure 19: Valuation process of the dividend discount and the DCF method
Figure 20: Analysis and planning horizons underlying the dividend discount method
Figure 21: Relationship between the different cash flow variants
Figure 22: Calculation of the equity value of the company under the APV approach
Figure 23: Valuation procedure under the SPCM method
Figure 24: Valuation procedure under the excess earnings method
Figure 25: Share of intangible assets of German brokers of different size
Figure 26: Public broker EBITDA multiples of enterprise value
Figure 27: Public broker revenue multiples of enterprise value
Figure 28: Proposed adaptations of the DDM for broker valuation
Figure 29: DDM valuation process for small and medium-sized brokers
Figure 30: EBITDA and commission multiples for broker acquisitions in the US ← XIII | XIV →
Figure 31: EBITDA multiples for broker acquisitions in the US for 2012 by payment type
Figure 32: Development of M&A transactions in and between North America and Europe involving an insurance intermediary as target and/or acquirer
Figure 33: Overview on deal values paid in the insurance intermediary industry in North America from 2004 to 2013
Figure 34: Demographic projection of US and German intermediary owners
Figure 35: Deal activity by types of bidders and overview of most active bidders in the insurance intermediary industry
Figure 36: Classification of M&A motives
Figure 37: Capital market research for insurance M&A
Figure 38: Development of transaction number and volume of entire sample
Figure 39: Data sample by industry classification
Figure 40: Data sample classified by geography
Figure 41: Data sample distribution by size of transactions
Figure 42: Distribution of transactions by acquirer and target efficiency
Figure 43: Estimation period and event window
Figure 44: Summary on employed methodology and test statistics
Figure 45: Development of CAARs over the event window
Figure 46: Productivity gap between top and bottom agencies
Figure 47: Transformation approach for tied agent channels
Figure 48: Key elements of the “Agency Insights” diagnostic tool
Figure 49: Overview on available data parameters in the data base
Figure 50: Illustration of the regression model applied in this study
Figure 51: Definition of agency clusters
Figure 52: Applied provision rates for the calculation of standard provisions
Figure 53: Sales funnel results and effectiveness per agency cluster
Figure 54: Overview on operational and structural levers
Figure 55: Adaptation of operational and structural levers to agency groups
Figure 56: Overview on the steps included in the prototyping and piloting phase
Figure 57: Commission multiples in broker transaction
Table 1: Calculation of cash flows in the dividend discount method
Table 2: Overview on valuation approaches under the DCF method
Table 3: Specific attributes of brokers and their impact on valuation
Table 4: Assessment of valuation methods for broker valuation
Table 5: Data collection of the brokerage business in the initial stage of the valuation process
Table 6: Scoring assessment matrix for broker businesses
Table 7: Assessment grid of owner-manager in relation to a typified manager
Table 8: Small cap premiums in the literature
Table 9: Risk ratios of selected brokers
Table 10: Discount rates for broker valuation proposed by the AAIMCo
Table 11: Empirical results on M&A value determinants in the academic literature
Table 12: Examined value determinants and underlying M&A motives
Table 13: Ranking of most active acquirers in the data sample
Table 14: Definition of independent variables for the multivariate regression
Table 15: Results on acquirer CAARs and test statistics for 467 transactions
Table 16: Results of the multivariate regression for all six determinants
Table 17: Results of the multivariate regression disregarding variables for hypothesis 5
Table 18: Results on value determinants that are value enhancing
Table 19: Existing research on determinants of tied agent performance
Table 20: Definition of performance determinants
Table 21: Summary statistics of independent variables for the total sample
Table 22: Regression results for standard provision as performance measure
Table 23: Regression results for effectiveness as performance measure
Table 24: Comparison of results of this study with prior literature
Table 25: Results on acquirer CAARs and test statistics for 206 transactions analysed in the multivariate regression
Table 26: Summary statistics of independent variables for tied agent clusters
Table 27: Regression results for standard provision as performance measure with standard provision rates increased by 10 per cent
Table 28: Regression results for standard provision as performance measure with standard provision rates decreased by 10 per cent
Details
- Pages
- XX, 294
- Publication Year
- 2016
- ISBN (PDF)
- 9783653061772
- ISBN (MOBI)
- 9783653953947
- ISBN (ePUB)
- 9783653953954
- ISBN (Hardcover)
- 9783631670170
- DOI
- 10.3726/978-3-653-06177-2
- Language
- English
- Publication date
- 2016 (April)
- Keywords
- Insurer M&A Broker Agent
- Published
- Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2016. XX, 294 pp., 28 tables, 57 graphs