EX-99.1 2 ex99.htm EXHIBIT 99.1 - PRESENTATION ex99.htm
Selective Insurance Group, Inc.

Investor Presentation

November 2008
 
 

 
 Strong market position
  22-state super-regional
  $1.6B NPW
  87% commercial lines
  13% personal lines
 Distribution partner with 940
 independent agents
 High-Tech, High-Touch Business Model
 History of financial strength
  “A+” A.M. Best rated for 47 years
 Focus on shareholders
MN
IA
MO
WI
IL
IN
MI
MI
NC
PA
NY
NJ
DE
CT
MA
TN
Selective Profile
 
 

 
Long-Term Shareholder Value Creation
Book Value at 9/30/08 - $18.53
Indicated Annual Dividend - $0.52
 
 

 
High Tech - High Touch Business Model
Significant Competitive Advantage
 
 

 
High Tech - High Touch Business Model
*Agents with Selective for 5 years or more.
Significant Competitive Advantage
 
 

 
Disciplined Reserving Practices
 Strong actuarial department
  8 fellows, 7 associates
  Responsible for budgeting and planning
 Detailed actuarial reviews quarterly
 Carried reserves at 57th percentile of
 range
 
 

 
Percentages are net of tax, reinsurance and reinstatement premium.
RMS data as of 6/30/08; Equity data as of 9/30/08.
CAT cover: $310M in excess of $40M
RMS Model
Strong Natural Catastrophe Program
 
 

 
13% 5-year CAGR in statutory surplus
High Quality Capital
 
 

 
12% ROE generated by investment portfolio
$3.6B Invested Assets
as of September 30, 2008
Conservative Investment Portfolio
 
 

 
18.9%
26.0%
82.8%
Annual Earnings
($ in Millions)
Dividends paid
Share Repurchase
Capital Returned to Shareholders
116.0%
25.2%
YTD 2008 1.8M shares repurchased for $40.5M
Proactive Capital Management
 
 

 
Cycle Management
 
 

 
Environment conducive to a cycle turn
Industry Conditions Challenging
 Combined ratio pressure
  Pricing continues to decline but at lesser pace than past cycles
  Catastrophe losses up significantly from 2007
  Reserve releases continue
 Challenging growth environment
  Expense ratio pressure
 A weakening economy
 Financial markets turmoil
  Other than temporary impairments
  Surplus shrinking
 
 

 
Positioned for long-term out-performance
Responding to Current Industry Conditions
 Expense management
 Underwriting tools through Knowledge Management
 Improving personal lines
 Generating profitable growth opportunities
 Leveraging agency relationships
 
 

 
Managing Expenses through Cycle
 Workforce reduced
  Restructuring announced in January 2008 with $7 million
 annualized pre-tax savings
 Commission structure changes effective July 1
  $7 million annualized pre-tax savings
 Re-domestication of two insurance subsidiaries to Indiana
  $2 million annualized pre-tax savings
 Small business growth through One & Done® system
  23% marginal expense ratio
 
 

 
Knowledge Management
 Information and analytics delivered through Knowledge Management
 Pricing precision through predictive modeling
  Commercial lines models: workers compensation, BOP, CPP and
 commercial auto
  MATRIX® for personal lines: auto and homeowners
 
 

 
Operating Return on Equity
% C/L Book
New (%)
Renewal (%)
Total (%)
Worst 5% (1 Diamond)
(18.6)
(43.3)
(38.7)
Best 95%
11.5
16.9
15.6
Total Commercial
10.6
14.5
13.6
The Power of Predictive Modeling
 Commercial lines business performance
 
 

 
Percent of Total Premium Diamond Distribution*
WC, BOP, CPP, CA
Quality of New Business
 
 

 
2 Year, 7 point combined ratio improvement goal achieved
Note: Booked accident year combined ratios
7.8 points
Workers Compensation Success
 
 

 
Multi-Faceted Personal Lines Improvement Plan
 
 

 
Profitable Growth Opportunities
 Entered MA and TN: $8.5 billion commercial lines premium potential
 One & Done® small business opportunities
  400+ classes and growing
  New business up 11% for 2008 YTD
 289 new agents appointed since 2005
 
 

 
Leveraging Excellent Agent Relationships
 Field model with front-line decision-making authority
 Superior claims service
 Access to management team
 Competitive products and programs through Strategic
 Business Units
 Technology designed in partnership with agents
 Granular pricing capability through predictive modeling