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SOA 2013 Life & Annuity Symposium
May 6-7, 2013
Session 59 PD, Impact of the Low Interest Rate
Environment on Life Insurers
Moderator:
Richard C. Pretty, FSA, MAAA
Presenters:
Joseph R. Dziwura
Yidong (Winter) Liu, FSA, MAAA
Primary Competency
External Forces & Industry Knowledge
1
Session 59 Panel Discussion:
Impact of the Low Interest Rate
Environment on Life Insurers
2013 SOA Life & Annuity Symposium
Richard Pretty, FSA, MAAA
Agenda
I. Welcome & Introductions ………………….. Richard Pretty, Senior Managing Director
Product Actuarial, TIAA-CREF
Joseph Dziwura, Senior Managing Director
Market Risk, TIAA-CREF
Winter Liu, Principal
Oliver Wyman
II. Opening Remarks …………………………. Richard Pretty
III. Presentations ……………….……………... Joseph Dziwura
2
Winter Liu
IV. Q&A ………….………………………….….. Richard Pretty
2
Opening Remarks
Industry fundamentals mixed
life insurers generally well-capitalizedg y p
revenue & operating margins under increasing pressure
Headwinds
• intense competition
• weak global economy
3
weak global economy
• sustained low interest rates
– reinvestment risk
– spread compression
Opening Remarks
Company responses to spread compression:
• lower crediting rates … but guarantee limits
• higher priced new business … but competitive limits
• Investment strategy changes
 increased credit risk taking … but RBC limits
 Increased liquidity risk taking … but ALM limits
4
• de-emphasis on interest rate sensitive products … but consumers
want safety
• emphasis on variable and indexed products … but market volatility
3
Historical U.S. Treasury Yields (1981 – Present)
14
16
18
4
6
8
10
12
5
0
2
1yrCMT 5yrCMT 10yrCMT
Historical U.S. Treasury Yields (Last 10 years)
14
16
18
4
6
8
10
12
14
6
0
2
Series1 Series2 Series3
4
Impact of the Low Interest Rate
Environment on Life Insurers
2013 SOA Life & Annuity Symposium
Joseph R. Dziwura
Overview
• Accommodative Federal Reserve Policy lowers interest rates through important
channels:
– The Federal Reserve’s ongoing purchases of Treasury and agency mortgage-backedg g y g y g g
securities (MBS) has led to a Federal Reserve balance sheet that is now roughly $3.0
trillion. The Fed is buying $40 billion per month of MBS, and $45 billion per month of long
term U.S. treasury securities to keep long term rates low and to support the mortgage and
housing market and to stimulate cyclical parts of the US economy including autos and
consumer durables and other parts of the economy and promote stable financial conditions.
At the same time, short-term interest rates have a zero lower bound constraint, and with
expectations based on Federal Reserve “forward guidance” that rates will stay low for an
extended period of time.
8
– The Federal Reserve purchases reduce interest rates and ease financial conditions through
important channels. One important channel is the portfolio balance channel. The portfolio
balance channel relies on the premise that financial assets are imperfect substitutes in
investor’s portfolios, and a rise in the demand for a particular asset relative to supply will
increase its price and reduce its yield. After selling assets to the Federal Reserve, investors
may rebalance their portfolios by investing in other assets, raising the prices of those
assets, lowering their yields and easing overall financial conditions, reflecting the Fed’s
asset purchase program.
5
Overview
• Accommodative Federal Reserve Policy removes interest rate risk and duration
risk including prepayment risk and overall market volatility from the economy:
– The Federal Reserve asset purchase program was designed to remove risk from the privatep p g g p
sector portfolio of private investors. For example, Treasury and agency MBS purchases
remove duration risk, thereby lowering long-term interest rates and reducing private sector
borrowing costs. Agency MBS purchases also remove prepayment risk in the market
lowering MBS yields and mortgage rates supporting the housing market and refinancing.
– The major impact of monthly purchases on interest rates comes from the expectations of the
total “stock” of risk – e.g., duration risk -- that will be removed from the private sector and
the length of time the Federal Reserve will hold this risk. Market expectations concerning
the total amount of risk and the composition of securities that will be removed from the
9
market will evolve over time with incoming information on the real economy – inflation and
unemployment and other considerations.
– Accommodative policies and sustained low interest rates could lead to excessive risk taking
in some financial markets. Continued slack in the economy along with low inflation
suggests accommodative policy is warranted. Dialing back accommodation poses its own
risk to growth, price stability and financial conditions.
1871 - 2012
14 0
16.0
18.0
US 10‐Year Treasury = α + β1*(BE Infl) – β2*(European Financial CDS) – β3* (Net Fed Purchases) – β4* (ED12) + ε
BE Infl = Breakeven Inflation Expectations;  ED12 = Eurodollar Futures      
U.S. and Japan 10-Year Government Bond Yields (1871 – 2012)
2 0
4.0
6.0
8.0
10.0
12.0
14.0
Percent
10
Note: Monthly data; averages of business days.  Japan yields: 1965 ‐ 2012.
Source: Robert Shiller, Federal Reserve and Bloomberg  
0.0
2.0
1871.011878.061885.111893.041900.091908.021915.071922.121930.051937.101945.031952.081960.011967.061974.111982.041989.091997.022004.072011.12
U.S. 10-Year Yield Japan 10-Year Yield
10-Year Yield (n) = Expected Real Short Rate (r) + Inflation Expectations (pe) + Term Premium (T)
6
5 00%
6.00%
U.S. Government Yield Curve
Pre‐Crisis Yield Curve
2.00%
3.00%
4.00%
5.00%
Expected Yield Curve 
11
0.00%
1.00%
1 M 3 M 6 M 1 Y 2 Y 3 Y 5 Y 7 Y 10 Y 30 Y
March 2013 July 2007 Implied Forward Rate December 2015
Post‐Crisis Yield Curve
Source: Bloomberg  
10-Year Government Bond Yields (January 2005 – March 2013)
5
6
United States
Germany
2
3
4
Percent
Germany
Japan
12Source: Bloomberg  
0
1
1/3/2005
3/3/2005
5/3/2005
7/3/2005
9/3/2005
11/3/2005
1/3/2006
3/3/2006
5/3/2006
7/3/2006
9/3/2006
11/3/2006
1/3/2007
3/3/2007
5/3/2007
7/3/2007
9/3/2007
11/3/2007
1/3/2008
3/3/2008
5/3/2008
7/3/2008
9/3/2008
11/3/2008
1/3/2009
3/3/2009
5/3/2009
7/3/2009
9/3/2009
11/3/2009
1/3/2010
3/3/2010
5/3/2010
7/3/2010
9/3/2010
11/3/2010
1/3/2011
3/3/2011
5/3/2011
7/3/2011
9/3/2011
11/3/2011
1/3/2012
3/3/2012
5/3/2012
7/3/2012
9/3/2012
11/3/2012
1/3/2013
7
Corporate Spreads (January 2005 – March 2013)
700
800
Spreads = α - β1* GDP Growth + β2*VIX - β3*10-Year Treasury + β4*Term Premium + ε
Spreads = f(default probability, expected recovery rate,
liquidity, interest rates)
200
300
400
500
600
BasisPoints
13Source: Bloomberg  
0
100
1/3/2005
3/3/2005
5/3/2005
7/3/2005
9/3/2005
11/3/2005
1/3/2006
3/3/2006
5/3/2006
7/3/2006
9/3/2006
11/3/2006
1/3/2007
3/3/2007
5/3/2007
7/3/2007
9/3/2007
11/3/2007
1/3/2008
3/3/2008
5/3/2008
7/3/2008
9/3/2008
11/3/2008
1/3/2009
3/3/2009
5/3/2009
7/3/2009
9/3/2009
11/3/2009
1/3/2010
3/3/2010
5/3/2010
7/3/2010
9/3/2010
11/3/2010
1/3/2011
3/3/2011
5/3/2011
7/3/2011
9/3/2011
11/3/2011
1/3/2012
3/3/2012
5/3/2012
7/3/2012
9/3/2012
11/3/2012
1/3/2013
AAA BBB
Potential GDP and Actual GDP (March 1950 – March 2017)
$16,000
$18,000
s)
Real GDP = Y = C + I + G + NX
C= Consumption
$8,000
$10,000
$12,000
$14,000
ained2005Dollars(Billions
Output Gap
I = Investment
G = Government Spending
NX = Net Exports
Potential GDP = ∆Productivity + ∆Labor
MV = PY = Nominal GDP
M = Money and Credit
V = Velocity of Money and Credit
P Prices
14Source: Congressional Budget Office
$2,000
$4,000
$6,000
Mar-50
Mar-52
Mar-54
Mar-56
Mar-58
Mar-60
Mar-62
Mar-64
Mar-66
Mar-68
Mar-70
Mar-72
Mar-74
Mar-76
Mar-78
Mar-80
Mar-82
Mar-84
Mar-86
Mar-88
Mar-90
Mar-92
Mar-94
Mar-96
Mar-98
Mar-00
Mar-02
Mar-04
Mar-06
Mar-08
Mar-10
Mar-12
Mar-14
Mar-16
Cha
Real GDP Potential GDP
P = Prices
Inflation = f(Inflation Expectations, Output Gap)
8
Assets that utilize leverage and a minimal amount 
of general account proceeds currently held
(e.g. credit default swaps and replication, spread lending activity)
Levers and Strategies for Higher Net Excess Yields:
Levels of Increasing Risk
Assets with relatively higher 
risk of credit issues and 
default
(e.g. BB and B rated corporate securities)
Assets with longer‐dated 
duration and maturities or 
negative convexity profiles
(e.g. municipal bonds, Agency CMOs)
Leverage
Duration/
Convexity
Credit Risk
15
Assets for which secondary 
market is limited or funding / 
balance sheet is provided
(e.g. private placements, commercial 
mortgage loans, negative basis packages)
Assets that are lower in 
the capital structure
(e.g. subordinated corporate debt, 
mezzanine CLO tranches)
Assets with securitized cashflows
(e.g. Non‐Agency RMBS, CMBS, ABS, senior CLO 
tranches, insurance‐linked securitizations)
Illiquidity
Capital
Structure
Structural
Complexity
Note: Net excess yield is defined as current asset yield less the average liability minimum interest rate guarantee.
Expected Return Volatilty Yield Curve Agency MBS ABS CMBS Credit Equity Liability Index
1 Yield Curve 3.1 4.1 1 ‐0.2 ‐0.6 ‐0.8 ‐0.6 ‐0.8 ‐0.7 0.8
2 Agency 3.2 4.2 ‐0.4 1 0.5 0.1 0.3 0.3 0.3 0.7
3 MBS 3.9 4.6 ‐0.4 0.2 1 0.6 0.4 0.6 0.7 0.6
Asset Liability Management (ALM): Linking USD Factor Returns,
Volatilities and Correlations across the Balance Sheet
4 ABS 3.6 4.9 ‐0.6 0 0.4 1 0.4 0.6 0.6 0.6
5 CMBS 4.8 5.1 ‐0.4 0.2 0.4 0.4 1 0.4 0.5 0.6
6 Credit 5.7 8.3 ‐0.6 0.2 0.2 0.4 0.2 1 0.7 0.7
7 Equity 7.9 16.7 ‐0.5 0.1 0.1 0.3 0.1 0.4 1 0
8 Liability Index 5.8 9.1 0.9 0.8 0.7 0.7 0.7 0.8 0.1 1
For illustrative purposes. Long‐term Expected Return and Volatility estimates (in percent).  Correlations are long‐term – below diagonal, and short‐term – above diagonal.
• Assume the “portfolio” asset duration is 7.5 and the liability duration is 9.6; returns are generally higher for 
liabilities than for assets. Liabilities appear to be more highly correlated with the yield curve and fixed‐
16
income assets than with equities. Bonds therefore appear to be a better hedge against changes in the value 
of liabilities than do equities. We need a complete understanding of risk sensitivities and return and 
correlation characteristics for both assets and liabilities, including embedded options and contingent claims 
and key rate durations (KRDs) across the shape of the yield curve to assess the effectiveness of any such 
matching hedge relationship, and to provide for optimal asset allocation and capital efficiency strategies.
• A regime shift ,e.g., in a flight to liquidity and quality in times of market stress or in the real economy in 
terms of a reduction in aggregate demand, lowers interest rates and changes asset and liability expected 
returns, volatilities and correlations in addition to the duration/ mismatch/ gap risk profile.
Source: Bloomberg and Barclays  and internal calculations.
9
Directed by the board and senior 
t i l di
Risk‐Based decision making and 
iti ti /h d i d
Be an integral part of strategic 
and capital and liquidity 
planning and a guide for 
setting risk appetite
Scenario and Stress Testing Framework
Objective
Governance
Design
Action
Monitoring
Scenario 
and Stress 
Testing 
Framework
management, including 
delineation of scope and 
frequency with formal policy 
documentation
Integrate information from 
models and historical data 
with defined parameters 
and  analytical methods
mitigation/hedging and 
contingency planning utilizing the 
results in strategic and/or tactical 
actions including derivatives
Provide forward‐looking 
assessment  and  monitoring and 
reporting of results, impacts, and 
exposure changes 
1717
Process
Analysis
Clear activities, 
methodologies 
responsibilities and 
frequency for 
repeatable processes
Execution of analysis and quantification 
of impacts for market, credit, liquidity, 
operational, capital and strategic issues, 
and asset‐liability management
• The scenario of projected low interest rates may not be the most likely scenario.
Analytical balance sheet results need to be evaluated under a variety of yield curve
environments. A protracted period of low interest rates is a feasible scenario for a
number of countries
Summary: Impact of Long Term, Low Interest Rates on
Balance Sheets
number of countries.
• A sustained low interest rate environment will have a negative impact on life insurance
balance sheets. There is an asymmetrical relationship between the asset side and
liability side due to the contractual crediting rate guarantee for accumulating and pay
out annuities. The competition for assets will continue to compress spreads and keep
overall yields low.
• Protracted low interest rates will impact insurance companies by affecting re-
i t t t fi d i tf li If l i t t t t d t b
18
investment returns on fixed-income portfolios. If low interest rates are expected to be
permanent, lower interest income will significantly impact insurers with long–term
liabilities and shorter-term duration assets. To the extent that lower interest rates
reflect a lower-growth environment, returns on investment in general - and equities in
particular – would also be expected to be lower.
10
Impact of the Low Interest Rate Environment
on Life Insurers
2013 SOA Life & Annuity Symposium2013 SOA Life & Annuity Symposium
© 2012 OLIVER WYMAN
CONSULTING ACTUARIES
Winter Liu, FSA, MAAA, CFA
Agenda
 Inforce management
 Product development
 Impact on industry landscape
20© 2012 OLIVER WYMAN
11
Inforce management
Low rates impact insurers in multiple ways
Lower investment
income
Magnify tail risk
 Lapse supported
products
Encourage “bad”
behaviors
 Lower lapse for
“negative spread”
21© 2012 OLIVER WYMAN
products
 Steeper mortality
slope for life business;
strong mortality
improvement for
longevity business
negative spread
liabilities
 Renewal deposit
 Heightened interest rate
shock risk
Inforce management
 Consider all non-guaranteed levers to compensate for lower
investment income
i Lower credited rate index capi. Lower credited rate, index cap
ii. Reduce dividends
iii. Increase COIs, fees
iv. Reduce commissions
 Actively manage (potential) adverse policyholder behavior
i. Review options on renewal deposit
ii. Review lapse assumptions
iii. Review ALM and hedging strategy
22© 2012 OLIVER WYMAN
 Pay more attention to tail risks
 Assess strategic options
i. Capital/reserve financing and EV securitization
ii. Divestures and acquisitions
12
Product development
Longevity annuity Indexed UL
Variable annuity
Fixed annuity
Combo LTC
Simplified issue
23© 2012 OLIVER WYMAN
Indexed annuity Worksite
Product development
Longevity annuity
 Prolonged low interest rate and choppy equity market helped shift
retirement solution mentality from wealth accumulation to income
protection
D f d t it i it ti f i hi t hi ? Deferred payout annuity – is it time for survivorship to shine?
 How to make it more attractive than SPIA
i. Deferral phase
ii. flexible premium / contribution phase
iii. Tax advantage (“QLAC”)
iv. Death benefits
v. Combo it
Payout phase
SPIA
24© 2012 OLIVER WYMAN
Deferral phase Payout phase
Payout phase
Contribution phase
Longevity annuity
13
Product development
Longevity annuity
 Challenges remain for longevity annuity
i. Mentality – “I am lucky to die early.”
ii DB t tiii. DB vs. payout ratio
iii. Assumption setting
iv. High rating requirement
v. Investment management
25© 2012 OLIVER WYMAN
Product development
Variable annuity
 The pursuit of “holy grail”
i. Control over assets
ii. Wealth accumulation (“upside”)
iii I it (“d id ”)iii. Income security (“downside”)
iv. Affordability
 Lessons from 2008 experience
i. Riders more expensive than previously thought
ii. Consumers may be ready for some trade-off
 New development
26© 2012 OLIVER WYMAN
i. Embedded longevity annuity
ii. Volatility managed funds
14
Product development
Fixed and indexed annuity
 Traditional FDA went through a tough ride
i. Close out holes
ii. Lower minimum guarantee
iii. Lower distribution costiii. Lower distribution cost
iv. MVA
v. Out of levers to pull
 Indexed annuity boom
60%
70%
80%
90%
100%
tal
12%
6%
Immediate
MVA
6%
22%
9%
8%
10%
8%
11%
7%
A
27© 2012 OLIVER WYMAN
0%
10%
20%
30%
40%
50%
60%
2008
Q4
2009
Q4
2010
Q4
2011
Q4
2012
Q4
PercentofTot
30%
52%
Book
Value
Indexed
50%
22%
48%
35%
37%
46%
36%
47%
AnnuityType
Source: LIMRA
Product development
Indexed annuity
 Low rate environment hit indexed annuity a little less than fixed annuity
i. IA has longer average duration
ii. Low short rate and slightly higher dividend yield helps lower option cost
iii. Equity volatility has trended down and volatility smirk is less obvious
 Index caps are nevertheless unattractive. New designs to make things more
interesting
i. Rainbow index, commodity index
ii. Registered IAs with floor under zero
iii. Index “Craps”
 Sales are driven by GLWB
i. Over 85% IA sold had GLWB
ii. Similar to VA GLWB, a benefit base (“BB”) grows at a fixed rate
iii %age of BB can be withdrawn each year for life even if AV is exhausted
28© 2012 OLIVER WYMAN
iii. %age of BB can be withdrawn each year for life even if AV is exhausted
iv. Is IA the new VA?
 New twist on GLWB
i. Stacked BB growth rate: index + fixed spread
ii. GLWB on traditional FDA
iii. Regulation
15
Product development
Other products
 Index UL
i. Significant growth since 2008 recession
ii. Index cap remained relatively high ~10%
iii. More appealing illustration
Product Current indexed cap
Guaranteed indexed
cap
Indexed annuity #1 3% 3%
Indexed annuity #2 3% 1%
Indexed annuity #3 3.25% 1%
Indexed life #1 10% 2.75%
Indexed life #2 12% 4%
I d d lif #3 13% 3%
29© 2012 OLIVER WYMAN
 Combo LTC
 Simplified issue
 Worksite A&H
Indexed life #3 13% 3%
Impact on industry landscape
 Wave of exits particularly with annuity and LTC products
 M&A market has been exceptionally active
i. ReFocus poll - 40% responders said their companies have
considered divestures and acquisitions
ii. Strong interest in fixed and indexed annuity space
 Entry of private equity and asset management firms
i. Different valuation framework
30© 2012 OLIVER WYMAN

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2013-las-session-59

  • 1. SOA 2013 Life & Annuity Symposium May 6-7, 2013 Session 59 PD, Impact of the Low Interest Rate Environment on Life Insurers Moderator: Richard C. Pretty, FSA, MAAA Presenters: Joseph R. Dziwura Yidong (Winter) Liu, FSA, MAAA Primary Competency External Forces & Industry Knowledge
  • 2. 1 Session 59 Panel Discussion: Impact of the Low Interest Rate Environment on Life Insurers 2013 SOA Life & Annuity Symposium Richard Pretty, FSA, MAAA Agenda I. Welcome & Introductions ………………….. Richard Pretty, Senior Managing Director Product Actuarial, TIAA-CREF Joseph Dziwura, Senior Managing Director Market Risk, TIAA-CREF Winter Liu, Principal Oliver Wyman II. Opening Remarks …………………………. Richard Pretty III. Presentations ……………….……………... Joseph Dziwura 2 Winter Liu IV. Q&A ………….………………………….….. Richard Pretty
  • 3. 2 Opening Remarks Industry fundamentals mixed life insurers generally well-capitalizedg y p revenue & operating margins under increasing pressure Headwinds • intense competition • weak global economy 3 weak global economy • sustained low interest rates – reinvestment risk – spread compression Opening Remarks Company responses to spread compression: • lower crediting rates … but guarantee limits • higher priced new business … but competitive limits • Investment strategy changes  increased credit risk taking … but RBC limits  Increased liquidity risk taking … but ALM limits 4 • de-emphasis on interest rate sensitive products … but consumers want safety • emphasis on variable and indexed products … but market volatility
  • 4. 3 Historical U.S. Treasury Yields (1981 – Present) 14 16 18 4 6 8 10 12 5 0 2 1yrCMT 5yrCMT 10yrCMT Historical U.S. Treasury Yields (Last 10 years) 14 16 18 4 6 8 10 12 14 6 0 2 Series1 Series2 Series3
  • 5. 4 Impact of the Low Interest Rate Environment on Life Insurers 2013 SOA Life & Annuity Symposium Joseph R. Dziwura Overview • Accommodative Federal Reserve Policy lowers interest rates through important channels: – The Federal Reserve’s ongoing purchases of Treasury and agency mortgage-backedg g y g y g g securities (MBS) has led to a Federal Reserve balance sheet that is now roughly $3.0 trillion. The Fed is buying $40 billion per month of MBS, and $45 billion per month of long term U.S. treasury securities to keep long term rates low and to support the mortgage and housing market and to stimulate cyclical parts of the US economy including autos and consumer durables and other parts of the economy and promote stable financial conditions. At the same time, short-term interest rates have a zero lower bound constraint, and with expectations based on Federal Reserve “forward guidance” that rates will stay low for an extended period of time. 8 – The Federal Reserve purchases reduce interest rates and ease financial conditions through important channels. One important channel is the portfolio balance channel. The portfolio balance channel relies on the premise that financial assets are imperfect substitutes in investor’s portfolios, and a rise in the demand for a particular asset relative to supply will increase its price and reduce its yield. After selling assets to the Federal Reserve, investors may rebalance their portfolios by investing in other assets, raising the prices of those assets, lowering their yields and easing overall financial conditions, reflecting the Fed’s asset purchase program.
  • 6. 5 Overview • Accommodative Federal Reserve Policy removes interest rate risk and duration risk including prepayment risk and overall market volatility from the economy: – The Federal Reserve asset purchase program was designed to remove risk from the privatep p g g p sector portfolio of private investors. For example, Treasury and agency MBS purchases remove duration risk, thereby lowering long-term interest rates and reducing private sector borrowing costs. Agency MBS purchases also remove prepayment risk in the market lowering MBS yields and mortgage rates supporting the housing market and refinancing. – The major impact of monthly purchases on interest rates comes from the expectations of the total “stock” of risk – e.g., duration risk -- that will be removed from the private sector and the length of time the Federal Reserve will hold this risk. Market expectations concerning the total amount of risk and the composition of securities that will be removed from the 9 market will evolve over time with incoming information on the real economy – inflation and unemployment and other considerations. – Accommodative policies and sustained low interest rates could lead to excessive risk taking in some financial markets. Continued slack in the economy along with low inflation suggests accommodative policy is warranted. Dialing back accommodation poses its own risk to growth, price stability and financial conditions. 1871 - 2012 14 0 16.0 18.0 US 10‐Year Treasury = α + β1*(BE Infl) – β2*(European Financial CDS) – β3* (Net Fed Purchases) – β4* (ED12) + ε BE Infl = Breakeven Inflation Expectations;  ED12 = Eurodollar Futures       U.S. and Japan 10-Year Government Bond Yields (1871 – 2012) 2 0 4.0 6.0 8.0 10.0 12.0 14.0 Percent 10 Note: Monthly data; averages of business days.  Japan yields: 1965 ‐ 2012. Source: Robert Shiller, Federal Reserve and Bloomberg   0.0 2.0 1871.011878.061885.111893.041900.091908.021915.071922.121930.051937.101945.031952.081960.011967.061974.111982.041989.091997.022004.072011.12 U.S. 10-Year Yield Japan 10-Year Yield 10-Year Yield (n) = Expected Real Short Rate (r) + Inflation Expectations (pe) + Term Premium (T)
  • 7. 6 5 00% 6.00% U.S. Government Yield Curve Pre‐Crisis Yield Curve 2.00% 3.00% 4.00% 5.00% Expected Yield Curve  11 0.00% 1.00% 1 M 3 M 6 M 1 Y 2 Y 3 Y 5 Y 7 Y 10 Y 30 Y March 2013 July 2007 Implied Forward Rate December 2015 Post‐Crisis Yield Curve Source: Bloomberg   10-Year Government Bond Yields (January 2005 – March 2013) 5 6 United States Germany 2 3 4 Percent Germany Japan 12Source: Bloomberg   0 1 1/3/2005 3/3/2005 5/3/2005 7/3/2005 9/3/2005 11/3/2005 1/3/2006 3/3/2006 5/3/2006 7/3/2006 9/3/2006 11/3/2006 1/3/2007 3/3/2007 5/3/2007 7/3/2007 9/3/2007 11/3/2007 1/3/2008 3/3/2008 5/3/2008 7/3/2008 9/3/2008 11/3/2008 1/3/2009 3/3/2009 5/3/2009 7/3/2009 9/3/2009 11/3/2009 1/3/2010 3/3/2010 5/3/2010 7/3/2010 9/3/2010 11/3/2010 1/3/2011 3/3/2011 5/3/2011 7/3/2011 9/3/2011 11/3/2011 1/3/2012 3/3/2012 5/3/2012 7/3/2012 9/3/2012 11/3/2012 1/3/2013
  • 8. 7 Corporate Spreads (January 2005 – March 2013) 700 800 Spreads = α - β1* GDP Growth + β2*VIX - β3*10-Year Treasury + β4*Term Premium + ε Spreads = f(default probability, expected recovery rate, liquidity, interest rates) 200 300 400 500 600 BasisPoints 13Source: Bloomberg   0 100 1/3/2005 3/3/2005 5/3/2005 7/3/2005 9/3/2005 11/3/2005 1/3/2006 3/3/2006 5/3/2006 7/3/2006 9/3/2006 11/3/2006 1/3/2007 3/3/2007 5/3/2007 7/3/2007 9/3/2007 11/3/2007 1/3/2008 3/3/2008 5/3/2008 7/3/2008 9/3/2008 11/3/2008 1/3/2009 3/3/2009 5/3/2009 7/3/2009 9/3/2009 11/3/2009 1/3/2010 3/3/2010 5/3/2010 7/3/2010 9/3/2010 11/3/2010 1/3/2011 3/3/2011 5/3/2011 7/3/2011 9/3/2011 11/3/2011 1/3/2012 3/3/2012 5/3/2012 7/3/2012 9/3/2012 11/3/2012 1/3/2013 AAA BBB Potential GDP and Actual GDP (March 1950 – March 2017) $16,000 $18,000 s) Real GDP = Y = C + I + G + NX C= Consumption $8,000 $10,000 $12,000 $14,000 ained2005Dollars(Billions Output Gap I = Investment G = Government Spending NX = Net Exports Potential GDP = ∆Productivity + ∆Labor MV = PY = Nominal GDP M = Money and Credit V = Velocity of Money and Credit P Prices 14Source: Congressional Budget Office $2,000 $4,000 $6,000 Mar-50 Mar-52 Mar-54 Mar-56 Mar-58 Mar-60 Mar-62 Mar-64 Mar-66 Mar-68 Mar-70 Mar-72 Mar-74 Mar-76 Mar-78 Mar-80 Mar-82 Mar-84 Mar-86 Mar-88 Mar-90 Mar-92 Mar-94 Mar-96 Mar-98 Mar-00 Mar-02 Mar-04 Mar-06 Mar-08 Mar-10 Mar-12 Mar-14 Mar-16 Cha Real GDP Potential GDP P = Prices Inflation = f(Inflation Expectations, Output Gap)
  • 9. 8 Assets that utilize leverage and a minimal amount  of general account proceeds currently held (e.g. credit default swaps and replication, spread lending activity) Levers and Strategies for Higher Net Excess Yields: Levels of Increasing Risk Assets with relatively higher  risk of credit issues and  default (e.g. BB and B rated corporate securities) Assets with longer‐dated  duration and maturities or  negative convexity profiles (e.g. municipal bonds, Agency CMOs) Leverage Duration/ Convexity Credit Risk 15 Assets for which secondary  market is limited or funding /  balance sheet is provided (e.g. private placements, commercial  mortgage loans, negative basis packages) Assets that are lower in  the capital structure (e.g. subordinated corporate debt,  mezzanine CLO tranches) Assets with securitized cashflows (e.g. Non‐Agency RMBS, CMBS, ABS, senior CLO  tranches, insurance‐linked securitizations) Illiquidity Capital Structure Structural Complexity Note: Net excess yield is defined as current asset yield less the average liability minimum interest rate guarantee. Expected Return Volatilty Yield Curve Agency MBS ABS CMBS Credit Equity Liability Index 1 Yield Curve 3.1 4.1 1 ‐0.2 ‐0.6 ‐0.8 ‐0.6 ‐0.8 ‐0.7 0.8 2 Agency 3.2 4.2 ‐0.4 1 0.5 0.1 0.3 0.3 0.3 0.7 3 MBS 3.9 4.6 ‐0.4 0.2 1 0.6 0.4 0.6 0.7 0.6 Asset Liability Management (ALM): Linking USD Factor Returns, Volatilities and Correlations across the Balance Sheet 4 ABS 3.6 4.9 ‐0.6 0 0.4 1 0.4 0.6 0.6 0.6 5 CMBS 4.8 5.1 ‐0.4 0.2 0.4 0.4 1 0.4 0.5 0.6 6 Credit 5.7 8.3 ‐0.6 0.2 0.2 0.4 0.2 1 0.7 0.7 7 Equity 7.9 16.7 ‐0.5 0.1 0.1 0.3 0.1 0.4 1 0 8 Liability Index 5.8 9.1 0.9 0.8 0.7 0.7 0.7 0.8 0.1 1 For illustrative purposes. Long‐term Expected Return and Volatility estimates (in percent).  Correlations are long‐term – below diagonal, and short‐term – above diagonal. • Assume the “portfolio” asset duration is 7.5 and the liability duration is 9.6; returns are generally higher for  liabilities than for assets. Liabilities appear to be more highly correlated with the yield curve and fixed‐ 16 income assets than with equities. Bonds therefore appear to be a better hedge against changes in the value  of liabilities than do equities. We need a complete understanding of risk sensitivities and return and  correlation characteristics for both assets and liabilities, including embedded options and contingent claims  and key rate durations (KRDs) across the shape of the yield curve to assess the effectiveness of any such  matching hedge relationship, and to provide for optimal asset allocation and capital efficiency strategies. • A regime shift ,e.g., in a flight to liquidity and quality in times of market stress or in the real economy in  terms of a reduction in aggregate demand, lowers interest rates and changes asset and liability expected  returns, volatilities and correlations in addition to the duration/ mismatch/ gap risk profile. Source: Bloomberg and Barclays  and internal calculations.
  • 10. 9 Directed by the board and senior  t i l di Risk‐Based decision making and  iti ti /h d i d Be an integral part of strategic  and capital and liquidity  planning and a guide for  setting risk appetite Scenario and Stress Testing Framework Objective Governance Design Action Monitoring Scenario  and Stress  Testing  Framework management, including  delineation of scope and  frequency with formal policy  documentation Integrate information from  models and historical data  with defined parameters  and  analytical methods mitigation/hedging and  contingency planning utilizing the  results in strategic and/or tactical  actions including derivatives Provide forward‐looking  assessment  and  monitoring and  reporting of results, impacts, and  exposure changes  1717 Process Analysis Clear activities,  methodologies  responsibilities and  frequency for  repeatable processes Execution of analysis and quantification  of impacts for market, credit, liquidity,  operational, capital and strategic issues,  and asset‐liability management • The scenario of projected low interest rates may not be the most likely scenario. Analytical balance sheet results need to be evaluated under a variety of yield curve environments. A protracted period of low interest rates is a feasible scenario for a number of countries Summary: Impact of Long Term, Low Interest Rates on Balance Sheets number of countries. • A sustained low interest rate environment will have a negative impact on life insurance balance sheets. There is an asymmetrical relationship between the asset side and liability side due to the contractual crediting rate guarantee for accumulating and pay out annuities. The competition for assets will continue to compress spreads and keep overall yields low. • Protracted low interest rates will impact insurance companies by affecting re- i t t t fi d i tf li If l i t t t t d t b 18 investment returns on fixed-income portfolios. If low interest rates are expected to be permanent, lower interest income will significantly impact insurers with long–term liabilities and shorter-term duration assets. To the extent that lower interest rates reflect a lower-growth environment, returns on investment in general - and equities in particular – would also be expected to be lower.
  • 11. 10 Impact of the Low Interest Rate Environment on Life Insurers 2013 SOA Life & Annuity Symposium2013 SOA Life & Annuity Symposium © 2012 OLIVER WYMAN CONSULTING ACTUARIES Winter Liu, FSA, MAAA, CFA Agenda  Inforce management  Product development  Impact on industry landscape 20© 2012 OLIVER WYMAN
  • 12. 11 Inforce management Low rates impact insurers in multiple ways Lower investment income Magnify tail risk  Lapse supported products Encourage “bad” behaviors  Lower lapse for “negative spread” 21© 2012 OLIVER WYMAN products  Steeper mortality slope for life business; strong mortality improvement for longevity business negative spread liabilities  Renewal deposit  Heightened interest rate shock risk Inforce management  Consider all non-guaranteed levers to compensate for lower investment income i Lower credited rate index capi. Lower credited rate, index cap ii. Reduce dividends iii. Increase COIs, fees iv. Reduce commissions  Actively manage (potential) adverse policyholder behavior i. Review options on renewal deposit ii. Review lapse assumptions iii. Review ALM and hedging strategy 22© 2012 OLIVER WYMAN  Pay more attention to tail risks  Assess strategic options i. Capital/reserve financing and EV securitization ii. Divestures and acquisitions
  • 13. 12 Product development Longevity annuity Indexed UL Variable annuity Fixed annuity Combo LTC Simplified issue 23© 2012 OLIVER WYMAN Indexed annuity Worksite Product development Longevity annuity  Prolonged low interest rate and choppy equity market helped shift retirement solution mentality from wealth accumulation to income protection D f d t it i it ti f i hi t hi ? Deferred payout annuity – is it time for survivorship to shine?  How to make it more attractive than SPIA i. Deferral phase ii. flexible premium / contribution phase iii. Tax advantage (“QLAC”) iv. Death benefits v. Combo it Payout phase SPIA 24© 2012 OLIVER WYMAN Deferral phase Payout phase Payout phase Contribution phase Longevity annuity
  • 14. 13 Product development Longevity annuity  Challenges remain for longevity annuity i. Mentality – “I am lucky to die early.” ii DB t tiii. DB vs. payout ratio iii. Assumption setting iv. High rating requirement v. Investment management 25© 2012 OLIVER WYMAN Product development Variable annuity  The pursuit of “holy grail” i. Control over assets ii. Wealth accumulation (“upside”) iii I it (“d id ”)iii. Income security (“downside”) iv. Affordability  Lessons from 2008 experience i. Riders more expensive than previously thought ii. Consumers may be ready for some trade-off  New development 26© 2012 OLIVER WYMAN i. Embedded longevity annuity ii. Volatility managed funds
  • 15. 14 Product development Fixed and indexed annuity  Traditional FDA went through a tough ride i. Close out holes ii. Lower minimum guarantee iii. Lower distribution costiii. Lower distribution cost iv. MVA v. Out of levers to pull  Indexed annuity boom 60% 70% 80% 90% 100% tal 12% 6% Immediate MVA 6% 22% 9% 8% 10% 8% 11% 7% A 27© 2012 OLIVER WYMAN 0% 10% 20% 30% 40% 50% 60% 2008 Q4 2009 Q4 2010 Q4 2011 Q4 2012 Q4 PercentofTot 30% 52% Book Value Indexed 50% 22% 48% 35% 37% 46% 36% 47% AnnuityType Source: LIMRA Product development Indexed annuity  Low rate environment hit indexed annuity a little less than fixed annuity i. IA has longer average duration ii. Low short rate and slightly higher dividend yield helps lower option cost iii. Equity volatility has trended down and volatility smirk is less obvious  Index caps are nevertheless unattractive. New designs to make things more interesting i. Rainbow index, commodity index ii. Registered IAs with floor under zero iii. Index “Craps”  Sales are driven by GLWB i. Over 85% IA sold had GLWB ii. Similar to VA GLWB, a benefit base (“BB”) grows at a fixed rate iii %age of BB can be withdrawn each year for life even if AV is exhausted 28© 2012 OLIVER WYMAN iii. %age of BB can be withdrawn each year for life even if AV is exhausted iv. Is IA the new VA?  New twist on GLWB i. Stacked BB growth rate: index + fixed spread ii. GLWB on traditional FDA iii. Regulation
  • 16. 15 Product development Other products  Index UL i. Significant growth since 2008 recession ii. Index cap remained relatively high ~10% iii. More appealing illustration Product Current indexed cap Guaranteed indexed cap Indexed annuity #1 3% 3% Indexed annuity #2 3% 1% Indexed annuity #3 3.25% 1% Indexed life #1 10% 2.75% Indexed life #2 12% 4% I d d lif #3 13% 3% 29© 2012 OLIVER WYMAN  Combo LTC  Simplified issue  Worksite A&H Indexed life #3 13% 3% Impact on industry landscape  Wave of exits particularly with annuity and LTC products  M&A market has been exceptionally active i. ReFocus poll - 40% responders said their companies have considered divestures and acquisitions ii. Strong interest in fixed and indexed annuity space  Entry of private equity and asset management firms i. Different valuation framework 30© 2012 OLIVER WYMAN