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Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk-Controlled
Investment Strategies
1
Tuesday 5th March 2013
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Volatility Control
2
Dan Mikulskis
ALM & Investment Strategy
Teach-in Risk-Controlled Investment Strategies 5th March 2013
We summarise our approach to putting clients in control of their funding goals in seven steps
Redington
Our Approach
33
Volatility Control and Risk Parity are examples of
Step 3: Liquid Alpha and Beta strategies
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Introduction : How Does Volatility Control Work
Drive to the conditions
4
Teach-in Risk-Controlled Investment Strategies 5th March 2013
How do we Volatility Control
• Volatility Control is achieved through varying the exposure to equities dynamically in response to the volatility level
• As equity volatility rises, we reduce exposure from equity toward cash, depending on the volatility target
• Here we illustrate the dynamic exposure of a volatility control approach targeting 10% volatility
5
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Why use Volatility Control
For Defined Benefit pension funds:
- Prudent way of controlling risk in equity portfolio;
- Can get better risk adjusted returns than a fixed market exposure;
- Can help to manage/improve the risk budget by targeting a set level of volatility;
- More cost effective way of getting downside protection on an equity portfolio.
For Insurance Companies:
- May get capital reductions compared to a fixed allocation to equity markets;
- For With Profit and Variable Annuity products, can get cheaper downside protection.
For Defined Contribution pension funds:
- Can get much cheaper downside protection than fixed market allocation;
- e.g. 50bps per year to protect at 80% of highest NAV.
6
Teach-in Risk-Controlled Investment Strategies 5th March 2013
What Volatility Control is (and isn’t)
Volatility Control is ...
• An alternative approach to allocating capital;
• A technique for managing risk;
• A passive investment style;
• Implemented on a mandate level;
• Also known as Risk Control or Volatility Target.
7
Volatility Control is not ...
• A quantitative trading rule that tries to outperform
equities;
• A mechanism for trying to predict market crashes;
• A process for selecting low volatility stocks;
• A process for weighting individual stocks according to their
volatility;
• A guaranteed downside protection vehicle against
instantaneous crashes.
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Why Volatility Control (1)
• Equity Volatility varies very substantially through time.
• Both above and below the long term average.
8
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
What does Volatility Control achieve
9
• The Volatility Control approach keeps the trailing volatility close to the target level of 10%.
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Why Volatility Control (2)
• Across time periods and markets, Volatility Control has historically produced better risk-adjusted outcomes than a fixed
market exposure allocation
10
0
100
200
300
400
500
600
Volatility Controlled Portfolio FTSE 100 Total Return Portfolio
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Why Volatility Control (2)
• Across time periods and markets, Volatility Control has historically produced better risk-adjusted outcomes than a fixed
market exposure allocation
11
Source: Bloomberg; Calculations: Redington
Notes:
1. Measured in excess of relevant cash rate (3m LIBOR where data exists, proxy otherwise)
2, Measured as standard deviation of daily returns (100 day measure)
20 years ending
31.12.2012
MSCI World FTSE 100 S&P 500
Index Volatility
Control 10%
Index Volatility
Control 10%
Index Volatility
Control 10%
Excess Return1 (%p.a.) 2.6 3.6 2.9 3.2 4.6 4.1
Volatility2 (%p.a.) 15.0 10.9 18.6 10.6 19.2 10.7
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 1 : January 2008 – June 2009
12
• The FTSE 100 peaked in May 2008, then fell very sharply in September and October 2008 following the collapse of
Lehman Brothers.
• At this point volatility increased sharply.
• The FTSE 100 reached its bottom in March 2009 before beginning its recovery.
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 1 : January 2008 – June 2009
13
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 1 : January 2008 – June 2009
• The Volatility Control approach de-geared substantially well before the market lows
• Hence the drawdown suffered was much shallower, around -25% compared to -55%
14
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 2 : January 2004 – June 2006
15
• Over this period the FTSE 100 index rallied consistently with a relatively low volatility, increasing by around 45% over the
2.5 year period
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
• As the volatility of the FTSE 100 fell below the target of 10%, the market exposure of the volatility controlled portfolio
increased to greater than 100%. A cap was in place at 150% exposure but this was never reached.
• As volatility increased toward the middle of 2006 the volatility control approach de-geared to a 60% exposure level.
Case Study 2 : January 2004 – June 2006
16
-10%
10%
30%
50%
70%
90%
110%
130%
150%
0%
10%
20%
30%
40%
50%
60%
70%
AnnualizedVolatility(%)ofFTSE100
%Allocationofvolatilitycontrolledapproach
FTSE Allocation FTSE Rolling Volatility
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 2 : January 2004 – June 2006
17
• In this case the value of the volatility controlled portfolio and the fixed market exposure portfolio increased roughly in line,
with substantially the same realised volatility.
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 3 : January 2011 – December 2012
• This period saw substantial market volatility across global markets during August and September of 2011, followed by a
sustained rally in 2012 and decreasing volatility.
18
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 3 : January 2011 – December 2012
19
• As the volatility of the FTSE 100 increased during August and September of 2011, the exposure of the volatility controlled
strategy decreased to around 40%.
-10%
10%
30%
50%
70%
90%
110%
130%
150%
0%
10%
20%
30%
40%
50%
60%
70%
AnnualizedVolatility(%)ofFTSE100
%Allocationofvolatilitycontrolledapproach
FTSE Allocation FTSE Rolling Volatility
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Case Study 3 : January 2011 – December 2012
• Despite the period of increased volatility, the FTSE 100 recovered to its pre-August 2011 level relatively quickly, and
continued to rally from there.
• As the volatility control approach had de-geared during the volatile phase, it did not participate fully in the recovery.
• The volatility controlled approach behaved as it should have done, reducing volatility experienced during August and
September 2012.
20
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Implementing Volatility Control
• The most straightforward implementation is through a rebalancing program using futures.
• Most efficient for this to be managed by the LDI manager to make the most effective use of collateral.
• Most of the major UK LDI providers have indicated their ability and willingness to manage such mandates.
• We believe appropriate fee levels are :
 Small mandate with no additional LDI ~ 20-25bps
 Large mandate alongside an LDI mandate ~10-15bps
 As Vol Control is a “passive plus” type of strategy, we believe these are appropriate
• Separately it is possible to implement through a Total Return Swap (TRS) with an investment bank.
• This potentially introduces an extra layer of complexity and liquidity, which will only be worth doing if the cost savings are
significant enough.
21
Teach-in Risk-Controlled Investment Strategies 5th March 2013
• One advantage of a Volatility Controlled approach to investing is that it is much cheaper to buy downside protection
against a large fall in the portfolio’s value.
• The uncertainty of equity volatility (as shown before) means that downside protection options carry a large premium.
Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection
22
Source: Bloomberg; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection
23
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection
24
1 Year Protection level Approximate cost to protect equity
portfolio (%) over 1 year
Approximate Cost to protect 10% Vol
Control portfolio (%) over 1 year
90% 3.9 1.3
85% 2.8 0.5
80% 1.9 0.2
Source: Bloomberg, Barclays; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Volatility Control in the press and media
25
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Volatility Control in the press and media
26
“Regarding target volatility indexes, we have
shown that their long-run Sharpe ratio is always
better than the Sharpe ratio of the underlying
equity index as long as the target volatility level is
chosen within reasonable boundaries.”
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Volatility Control in the press and media
27
“To date, Volatility Target funds have not seen
widespread take-up. One of the major concerns
seems to be whether the concept is too complex
and difficult to communicate.”
“However, it can be argued that such an
approach helps an advisor meet client suitability
requirements as it enables them to discuss
maximum expected fund value falls.”
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Conclusions & Further Information
 Volatility Control is an approach to portfolio construction that aims for a more consistent risk through time, compared to a
fixed market allocation.
 It does this by varying the allocation to equities through time.
 Analysis over long time periods and across markets shows that this approach can deliver better risk-adjusted return
outcomes than a fixed market exposure.
 Volatility Control is easy and cost-effective to implement, being a semi-passive approach.
Further Reading -
The Actuary Magazine December 2012
http://www.theactuary.com/features/2012/12/volatility-control-taming-the-beast/
RedViews
http://redington.co.uk/getattachment/eea3dd74-37c8-446e-afa9-fd8d1973f295/Taming%20The%20Beast.aspx
RedBlogs
http://blog.redington.co.uk/Articles/Dan-Mikulskis/September-2012/VOLATILITY-CONTROL.aspx
http://blog.redington.co.uk/Articles/Dan-Mikulskis/December-2012/TAMING-THE-BEAST.aspx
The Journal of Indexes November / December 2012
http://www.indexuniverse.com/publications/journalofindexes/joi-articles/12932-optimal-design-of-risk-control-strategy-indexes.html
28
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk Parity: Balancing Risk
Across Asset Classes
29
Aniket Das
Manager Research Team
Teach-in Risk-Controlled Investment Strategies 5th March 2013
What is Risk Parity?
30
Risk Parity refers to a systematic approach to multi-asset
investing which allocates to a variety of asset classes (or risk
factors) according to risk exposure rather than asset value.
Teach-in Risk-Controlled Investment Strategies 5th March 2013
The Problem with Traditional Asset Allocation – #1
31
Average UK Pension Fund Asset Allocation
Equities
Nominal Govt Bonds
Inflation-Linked Bonds
Property
Alternatives
Risk Allocation
Equities
Nominal Govt Bonds
Inflation-Linked Bonds
Property
Alternatives
c.90% of risk from equities
Source: UBS; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
The Problem with Traditional Asset Allocation – #2
32
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
Feb-10 May-10 Aug-10 Nov-10 Feb-11 May-11 Aug-11 Nov-11 Feb-12 May-12 Aug-12 Nov-12
TrailingMonthlyReturn
Average PF Asset Allocation Equity Component
Correlation = 0.91
Source: UBS; Calculations: Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Why do we have this situation?
33
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Leverage in Risk Parity, Leverage in Equities
34
208%
186%
0%
50%
100%
150%
200%
250%
300%
350%
400%
450%
1995 1997 1999 2001 2003 2005 2007 2009 2011
Totalleverage(DebttoEquity)
MSCI World Debt to Equity Ratio Risk Parity 12% Vol Total Leverage Employed
MSCI World Average Risk Parity 12% Vol Average
Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
What does a Risk Parity portfolio look like? – #1
35
- Introducing a simple risk parity model we created, utilising 43 years of data:-
- Equities: MSCI World Net TR Index (1970-2012)
- Bonds: Bloomberg Generic 10 Year US Treasury (1970-73) / Merrill Lynch 7-10 Year US Treasury TR Index (1973-2012)
- Commodities: S&P GSCI TR Index (1970-2012)
- Equal risk weight to each asset class (i.e. 33.3% of portfolio risk in equities, 33.3% in bonds and 33.3% in commodities)
- 24 month trailing volatility used to forecast future volatility
- Rebalancing occurs monthly
- No transaction costs (futures trading of major market instruments is relatively cheap)
N.B: Manager implementations of risk parity will vary from this simple model as will be discussed later
Equities
Bonds
Commodities
Teach-in Risk-Controlled Investment Strategies 5th March 2013 36
0%
10%
20%
30%
40%0%
5%
10%
15%
20%
25%
30%
1972 1977 1982 1987 1992 1997 2002 2007 2012
Equities
Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale)
0%
10%
20%
30%
40%
50%
60%
70%
80%0%
5%
10%
15%
20%
1972 1977 1982 1987 1992 1997 2002 2007 2012
Bonds
Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale)
0%
10%
20%
30%
40%
50%0%
10%
20%
30%
40%
1972 1977 1982 1987 1992 1997 2002 2007 2012
Commodities
Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale)
0%
5%
10%
15%
20%
25%
30%
35%
40%
1972 1977 1982 1987 1992 1997 2002 2007 2012
Trailing24-MonthVolatility
Asset Class Volatility
Equities Bonds Commodities
What does a Risk Parity portfolio look like? – #2
Teach-in Risk-Controlled Investment Strategies 5th March 2013
What does a risk parity portfolio look like? – #3
37
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1972 1977 1982 1987 1992 1997 2002 2007 2012
PortfolioWeight
Unlevered, no volatility target
Equities Bonds Commodities
0%
50%
100%
150%
200%
250%
300%
1972 1977 1982 1987 1992 1997 2002 2007 2012
PortfolioWeight
Levered @ 10% volatility
Equities Bonds Commodities
Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk Parity Performance - #1
38
Jan 1971 –
Dec 2012
Unlevered
Risk Parity
Risk Parity
@ 10% Vol
60% Equities
40% Bonds
50% Equities
50% Bonds
100% Bonds 100% Equities 100% Commodities
Total Return 9.46% 10.36% 8.73% 8.69% 8.10% 8.55% 8.98%
Excess Return 2.91% 3.76% 2.21% 2.18% 1.63% 2.04% 2.46%
Volatility 7.02% 10.00% 9.84% 8.77% 7.57% 15.18% 20.38%
Sharpe Ratio 0.41 0.38 0.22 0.25 0.21 0.13 0.12
-1000%
0%
1000%
2000%
3000%
4000%
5000%
6000%
1972 1977 1982 1987 1992 1997 2002 2007 2012
CumulativeTotalReturn
Unlevered Risk Parity Risk Parity @ 10% Vol
60% Equities / 40% Bonds 50% Equities / 50% Bonds
0
1
10
100
1972 1977 1982 1987 1992 1997 2002 2007 2012
TotalReturnIndex(logscale)
Unlevered Risk Parity Risk Parity @ 10% Vol
60% Equities / 40% Bonds 50% Equities / 50% Bonds
Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk Parity Performance - #2
39
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
70%
1972 1977 1982 1987 1992 1997 2002 2007 2012
CumulativeContributiontoPortfolioExcessReturn
Equities Bonds Commodities
Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
Teach-in Risk-Controlled Investment Strategies 5th March 2013
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
1970 1975 1980 1985 1990 1995 2000 2005 2010
10 Year US Treasury Yield Rising Interest Rate Period
Risk Parity and Rising Interest Rates
40
# Time Change
in Yield
(bps)
Unlevered
Risk Parity
Risk
Parity
10% Vol
60 / 40
Portfolio
1 Feb 1972 –
Sep 1975
+244 1.16% 0.00% -7.83%
2 Dec 1976 –
Feb 1980
+571 -2.44% -4.13% -2.30%
3 May 1980 –
Sep 1981
+508 -13.90% -9.83% -12.85%
4 Feb 1983 –
Jun 1984
+304 -1.25% -2.89% -3.40%
5 Aug 1986 –
Sep 1987
+231 10.44% 10.53% 14.32%
6 Sep 1993 –
Nov 1994
+246 -7.48% -11.11% -4.37%
7 Sep 1998 –
Jan 2000
+169 3.77% 4.78% 10.71%
8 May 2003 –
Jun 2006
+130 7.58% 10.93% 8.68%
Annualised Excess Return
Annualised Excess Return
Over Months Where
Interest Rates Rose
Annualised Volatility
Over Months Where
Interest Rates Rose
Unlevered Risk Parity -6.53% 6.75%
Risk Parity 10% Vol -9.30% 10.04%
60 / 40 Portfolio -6.72% 9.33%
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Alpha / Beta Separation
41
Return Cash Beta Alpha
Teach-in Risk-Controlled Investment Strategies 5th March 2013
The Risk Parity Manager Universe
42
Passive (β)
• Relatively pure risk
parity beta
• Balances risk between
asset classes or other
risk factors
• May include smarter
beta approaches within
asset classes (e.g. an
enhanced commodity
index)
Semi-Active (β + α)
• Risk parity beta + mild
amounts of alpha
• Alpha may be
generated through
discretionary bets (e.g.
taking macro views) or
through systematic tilts
(e.g. cutting the
volatility target in
higher risk
environments)
Active (β + α)
• Risk parity beta + large
amounts of alpha
(hopefully!)
• May not resemble risk
parity much if very
active
• Typically charge higher
fees for the added
“activeness” / alpha
Global macro / quantitative equities
/ hedge fund managers
Traditional balanced fund managers
now offering risk parity solutions
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk Parity Managers – How do they vary?
43
•Pooled fund offerings will typically target a volatility of 8-10%, though there may be
differences. For segregated mandates, the volatility target can usually be specified (up to 25%).Volatility Target
•In our simple risk parity model, we used trailing 24-month volatility to forecast future
volatility. Managers are likely to use different calculations from ours, including the use of
implied volatilities in some cases.
Volatility Window
•Unlike our model in which we used 3 asset classes, risk parity managers may use more asset
classes (e.g. credit). However, the inclusion of more asset classes doesn’t necessarily make it
better. Many managers balance risk across risk factors rather than asset classes.
Asset Classes
•We rebalanced monthly although most managers will trade more frequently than this, often
when the benefits of rebalancing outweigh the costs (which are low due to the use of futures
contracts).
Rebalancing
•Within each asset class rests the choice of what futures instruments to use. For example, many
managers are now choosing to use the 30 Year US Treasury rather than the 10 Year. Smarter,
customised commodity indices are also a feature of many managers.
Beta Instruments
•These will vary depending on manager philosophy and investment process though crucially
the purpose of alpha and beta separation is to isolate true skill from generic market risk
premia.
Alpha Sources
•Given the extensive use of futures contracts, the management of collateral is a key aspect in
terms of fund management for risk parity strategies. The level of free cash in place to satisfy
collateral calls should be monitored.
Collateral Management
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Drawdowns in the Risk Parity Manager Universe
44
Source: Managers, eVestment, Salient Partners, Bloomberg
Max drawdown =
-21.4%
-54.0%
-32.1%
-60%
-50%
-40%
-30%
-20%
-10%
0%
Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10
Drawdown
Manager A Manager B Manager C
Manager D Manager E Manager F
Salient Risk Parity Index MSCI World 60/40
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Risk Parity is a beta solution (and should be priced accordingly!)
45
Mgr A Mgr B Mgr C Mgr D Mgr E Mgr F Mgr G Mgr H Mgr I
0
10
20
30
40
50
60
70
80
90
100
TotalExpenseRatio(BasisPoints)
Source: Managers, eVestment
Teach-in Risk-Controlled Investment Strategies 5th March 2013
Implementing Risk Parity in Your Portfolio
46
- Risk Parity is not a panacea. It is, however, a more efficient approach to portfolio construction than traditional methods. It
firmly places a focus on risk as well as return.
- There are other asset classes and risk factors with betas and alphas worth pursuing which risk parity cannot access easily.
Risk parity requires exposures to be able to be taken synthetically. This precludes investment in asset classes which cannot be
traded either through futures or swaps (e.g. illiquid credit, insurance-linked securities, etc.)
- Therefore, risk parity can be seen as a solution to only part of the entire investment portfolio – that which focuses on major
publicly-traded markets. This “bucket” in the investment portfolio is what we term “step 3 - liquid alpha and beta strategies”
(see table below).
- In addition to volatility-controlled equities and risk parity, within the liquid alpha and beta strategies bucket, we also
recommend clients consider trend-following strategies (also known as CTA managers). These risk-controlled strategies offer a
liquid risk premium as well as portfolio diversifying characteristics.
Part of Redington’s Seven
Steps to Full Funding™
Teach-in Risk-Controlled Investment Strategies 5th March 2013
13-15 Mallow Street London EC1Y 8RD Telephone : +44 (0) 20 7250 3331 www.redington.co.uk
Contacts
47
Disclaimer
For professional investors only. Not suitable for private
customers.
The information herein was obtained from various sources.
We do not guarantee every aspect of its accuracy. The
information is for your private information and is for
discussion purposes only. A variety of market factors and
assumptions may affect this analysis, and this analysis
does not reflect all possible loss scenarios. There is no
certainty that the parameters and assumptions used in this
analysis can be duplicated with actual trades. Any
historical exchange rates, interest rates or other reference
rates or prices which appear above are not necessarily
indicative of future exchange rates, interest rates, or other
reference rates or prices. Neither the information,
recommendations or opinions expressed herein constitutes
an offer to buy or sell any securities, futures, options, or
investment products on your behalf. Unless otherwise
stated, any pricing information in this message is indicative
only, is subject to change and is not an offer to transact.
Where relevant, the price quoted is exclusive of tax and
delivery costs. Any reference to the terms of executed
transactions should be treated as preliminary and subject
to further due diligence .
Please note, the accurate calculation of the liability profile
used as the basis for implementing any capital markets
transactions is the sole responsibility of the Trustees'
actuarial advisors. Redington Ltd will estimate the liabilities
if required but will not be held responsible for any loss or
damage howsoever sustained as a result of inaccuracies in
that estimation. Additionally, the client recognizes that
Redington Ltd does not owe any party a duty of care in this
respect.
Redington Ltd are investment consultants regulated by the
Financial Services Authority. We do not advise on all
implications of the transactions described herein. This
information is for discussion purposes and prior to
undertaking any trade, you should also discuss with your
professional tax, accounting and / or other relevant
advisers how such particular trade(s) affect you. All
analysis (whether in respect of tax, accounting, law or of
any other nature), should be treated as illustrative only and
not relied upon as accurate.
©Redington Limited 2013. All rights reserved. No
reproduction, copy, transmission or translation in whole or
in part of this presentation may be made without
permission. Application for permission should be made to
Redington Limited at the address below.
Redington Limited (6660006) is registered in England and
Wales. Registered office: 13-15 Mallow Street London
EC1Y 8RD
Dan Mikulskis
Director
ALM & Investment Strategy
Direct Line: 020 3326 7129
dan.mikulskis@redington.co.uk
Aniket Das
Associate
Manager Research Team
Direct Line: 020 3326 7153
aniket.das@redington.co.uk

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Risk-Controlled Investment Strategies

  • 1. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk-Controlled Investment Strategies 1 Tuesday 5th March 2013
  • 2. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Volatility Control 2 Dan Mikulskis ALM & Investment Strategy
  • 3. Teach-in Risk-Controlled Investment Strategies 5th March 2013 We summarise our approach to putting clients in control of their funding goals in seven steps Redington Our Approach 33 Volatility Control and Risk Parity are examples of Step 3: Liquid Alpha and Beta strategies
  • 4. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Introduction : How Does Volatility Control Work Drive to the conditions 4
  • 5. Teach-in Risk-Controlled Investment Strategies 5th March 2013 How do we Volatility Control • Volatility Control is achieved through varying the exposure to equities dynamically in response to the volatility level • As equity volatility rises, we reduce exposure from equity toward cash, depending on the volatility target • Here we illustrate the dynamic exposure of a volatility control approach targeting 10% volatility 5 Source: Bloomberg; Calculations: Redington
  • 6. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Why use Volatility Control For Defined Benefit pension funds: - Prudent way of controlling risk in equity portfolio; - Can get better risk adjusted returns than a fixed market exposure; - Can help to manage/improve the risk budget by targeting a set level of volatility; - More cost effective way of getting downside protection on an equity portfolio. For Insurance Companies: - May get capital reductions compared to a fixed allocation to equity markets; - For With Profit and Variable Annuity products, can get cheaper downside protection. For Defined Contribution pension funds: - Can get much cheaper downside protection than fixed market allocation; - e.g. 50bps per year to protect at 80% of highest NAV. 6
  • 7. Teach-in Risk-Controlled Investment Strategies 5th March 2013 What Volatility Control is (and isn’t) Volatility Control is ... • An alternative approach to allocating capital; • A technique for managing risk; • A passive investment style; • Implemented on a mandate level; • Also known as Risk Control or Volatility Target. 7 Volatility Control is not ... • A quantitative trading rule that tries to outperform equities; • A mechanism for trying to predict market crashes; • A process for selecting low volatility stocks; • A process for weighting individual stocks according to their volatility; • A guaranteed downside protection vehicle against instantaneous crashes.
  • 8. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Why Volatility Control (1) • Equity Volatility varies very substantially through time. • Both above and below the long term average. 8 Source: Bloomberg; Calculations: Redington
  • 9. Teach-in Risk-Controlled Investment Strategies 5th March 2013 What does Volatility Control achieve 9 • The Volatility Control approach keeps the trailing volatility close to the target level of 10%. Source: Bloomberg; Calculations: Redington
  • 10. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Why Volatility Control (2) • Across time periods and markets, Volatility Control has historically produced better risk-adjusted outcomes than a fixed market exposure allocation 10 0 100 200 300 400 500 600 Volatility Controlled Portfolio FTSE 100 Total Return Portfolio
  • 11. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Why Volatility Control (2) • Across time periods and markets, Volatility Control has historically produced better risk-adjusted outcomes than a fixed market exposure allocation 11 Source: Bloomberg; Calculations: Redington Notes: 1. Measured in excess of relevant cash rate (3m LIBOR where data exists, proxy otherwise) 2, Measured as standard deviation of daily returns (100 day measure) 20 years ending 31.12.2012 MSCI World FTSE 100 S&P 500 Index Volatility Control 10% Index Volatility Control 10% Index Volatility Control 10% Excess Return1 (%p.a.) 2.6 3.6 2.9 3.2 4.6 4.1 Volatility2 (%p.a.) 15.0 10.9 18.6 10.6 19.2 10.7
  • 12. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 1 : January 2008 – June 2009 12 • The FTSE 100 peaked in May 2008, then fell very sharply in September and October 2008 following the collapse of Lehman Brothers. • At this point volatility increased sharply. • The FTSE 100 reached its bottom in March 2009 before beginning its recovery. Source: Bloomberg; Calculations: Redington
  • 13. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 1 : January 2008 – June 2009 13 Source: Bloomberg; Calculations: Redington
  • 14. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 1 : January 2008 – June 2009 • The Volatility Control approach de-geared substantially well before the market lows • Hence the drawdown suffered was much shallower, around -25% compared to -55% 14 Source: Bloomberg; Calculations: Redington
  • 15. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 2 : January 2004 – June 2006 15 • Over this period the FTSE 100 index rallied consistently with a relatively low volatility, increasing by around 45% over the 2.5 year period Source: Bloomberg; Calculations: Redington
  • 16. Teach-in Risk-Controlled Investment Strategies 5th March 2013 • As the volatility of the FTSE 100 fell below the target of 10%, the market exposure of the volatility controlled portfolio increased to greater than 100%. A cap was in place at 150% exposure but this was never reached. • As volatility increased toward the middle of 2006 the volatility control approach de-geared to a 60% exposure level. Case Study 2 : January 2004 – June 2006 16 -10% 10% 30% 50% 70% 90% 110% 130% 150% 0% 10% 20% 30% 40% 50% 60% 70% AnnualizedVolatility(%)ofFTSE100 %Allocationofvolatilitycontrolledapproach FTSE Allocation FTSE Rolling Volatility Source: Bloomberg; Calculations: Redington
  • 17. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 2 : January 2004 – June 2006 17 • In this case the value of the volatility controlled portfolio and the fixed market exposure portfolio increased roughly in line, with substantially the same realised volatility. Source: Bloomberg; Calculations: Redington
  • 18. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 3 : January 2011 – December 2012 • This period saw substantial market volatility across global markets during August and September of 2011, followed by a sustained rally in 2012 and decreasing volatility. 18 Source: Bloomberg; Calculations: Redington
  • 19. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 3 : January 2011 – December 2012 19 • As the volatility of the FTSE 100 increased during August and September of 2011, the exposure of the volatility controlled strategy decreased to around 40%. -10% 10% 30% 50% 70% 90% 110% 130% 150% 0% 10% 20% 30% 40% 50% 60% 70% AnnualizedVolatility(%)ofFTSE100 %Allocationofvolatilitycontrolledapproach FTSE Allocation FTSE Rolling Volatility Source: Bloomberg; Calculations: Redington
  • 20. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Case Study 3 : January 2011 – December 2012 • Despite the period of increased volatility, the FTSE 100 recovered to its pre-August 2011 level relatively quickly, and continued to rally from there. • As the volatility control approach had de-geared during the volatile phase, it did not participate fully in the recovery. • The volatility controlled approach behaved as it should have done, reducing volatility experienced during August and September 2012. 20 Source: Bloomberg; Calculations: Redington
  • 21. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Implementing Volatility Control • The most straightforward implementation is through a rebalancing program using futures. • Most efficient for this to be managed by the LDI manager to make the most effective use of collateral. • Most of the major UK LDI providers have indicated their ability and willingness to manage such mandates. • We believe appropriate fee levels are :  Small mandate with no additional LDI ~ 20-25bps  Large mandate alongside an LDI mandate ~10-15bps  As Vol Control is a “passive plus” type of strategy, we believe these are appropriate • Separately it is possible to implement through a Total Return Swap (TRS) with an investment bank. • This potentially introduces an extra layer of complexity and liquidity, which will only be worth doing if the cost savings are significant enough. 21
  • 22. Teach-in Risk-Controlled Investment Strategies 5th March 2013 • One advantage of a Volatility Controlled approach to investing is that it is much cheaper to buy downside protection against a large fall in the portfolio’s value. • The uncertainty of equity volatility (as shown before) means that downside protection options carry a large premium. Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection 22 Source: Bloomberg; Calculations: Redington
  • 23. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection 23
  • 24. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Extensions of Volatility Control : A Pathway to Cost Effective Portfolio Downside Protection 24 1 Year Protection level Approximate cost to protect equity portfolio (%) over 1 year Approximate Cost to protect 10% Vol Control portfolio (%) over 1 year 90% 3.9 1.3 85% 2.8 0.5 80% 1.9 0.2 Source: Bloomberg, Barclays; Calculations: Redington
  • 25. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Volatility Control in the press and media 25
  • 26. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Volatility Control in the press and media 26 “Regarding target volatility indexes, we have shown that their long-run Sharpe ratio is always better than the Sharpe ratio of the underlying equity index as long as the target volatility level is chosen within reasonable boundaries.”
  • 27. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Volatility Control in the press and media 27 “To date, Volatility Target funds have not seen widespread take-up. One of the major concerns seems to be whether the concept is too complex and difficult to communicate.” “However, it can be argued that such an approach helps an advisor meet client suitability requirements as it enables them to discuss maximum expected fund value falls.”
  • 28. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Conclusions & Further Information  Volatility Control is an approach to portfolio construction that aims for a more consistent risk through time, compared to a fixed market allocation.  It does this by varying the allocation to equities through time.  Analysis over long time periods and across markets shows that this approach can deliver better risk-adjusted return outcomes than a fixed market exposure.  Volatility Control is easy and cost-effective to implement, being a semi-passive approach. Further Reading - The Actuary Magazine December 2012 http://www.theactuary.com/features/2012/12/volatility-control-taming-the-beast/ RedViews http://redington.co.uk/getattachment/eea3dd74-37c8-446e-afa9-fd8d1973f295/Taming%20The%20Beast.aspx RedBlogs http://blog.redington.co.uk/Articles/Dan-Mikulskis/September-2012/VOLATILITY-CONTROL.aspx http://blog.redington.co.uk/Articles/Dan-Mikulskis/December-2012/TAMING-THE-BEAST.aspx The Journal of Indexes November / December 2012 http://www.indexuniverse.com/publications/journalofindexes/joi-articles/12932-optimal-design-of-risk-control-strategy-indexes.html 28
  • 29. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk Parity: Balancing Risk Across Asset Classes 29 Aniket Das Manager Research Team
  • 30. Teach-in Risk-Controlled Investment Strategies 5th March 2013 What is Risk Parity? 30 Risk Parity refers to a systematic approach to multi-asset investing which allocates to a variety of asset classes (or risk factors) according to risk exposure rather than asset value.
  • 31. Teach-in Risk-Controlled Investment Strategies 5th March 2013 The Problem with Traditional Asset Allocation – #1 31 Average UK Pension Fund Asset Allocation Equities Nominal Govt Bonds Inflation-Linked Bonds Property Alternatives Risk Allocation Equities Nominal Govt Bonds Inflation-Linked Bonds Property Alternatives c.90% of risk from equities Source: UBS; Calculations: Redington
  • 32. Teach-in Risk-Controlled Investment Strategies 5th March 2013 The Problem with Traditional Asset Allocation – #2 32 -10% -8% -6% -4% -2% 0% 2% 4% 6% 8% Feb-10 May-10 Aug-10 Nov-10 Feb-11 May-11 Aug-11 Nov-11 Feb-12 May-12 Aug-12 Nov-12 TrailingMonthlyReturn Average PF Asset Allocation Equity Component Correlation = 0.91 Source: UBS; Calculations: Redington
  • 33. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Why do we have this situation? 33
  • 34. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Leverage in Risk Parity, Leverage in Equities 34 208% 186% 0% 50% 100% 150% 200% 250% 300% 350% 400% 450% 1995 1997 1999 2001 2003 2005 2007 2009 2011 Totalleverage(DebttoEquity) MSCI World Debt to Equity Ratio Risk Parity 12% Vol Total Leverage Employed MSCI World Average Risk Parity 12% Vol Average Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
  • 35. Teach-in Risk-Controlled Investment Strategies 5th March 2013 What does a Risk Parity portfolio look like? – #1 35 - Introducing a simple risk parity model we created, utilising 43 years of data:- - Equities: MSCI World Net TR Index (1970-2012) - Bonds: Bloomberg Generic 10 Year US Treasury (1970-73) / Merrill Lynch 7-10 Year US Treasury TR Index (1973-2012) - Commodities: S&P GSCI TR Index (1970-2012) - Equal risk weight to each asset class (i.e. 33.3% of portfolio risk in equities, 33.3% in bonds and 33.3% in commodities) - 24 month trailing volatility used to forecast future volatility - Rebalancing occurs monthly - No transaction costs (futures trading of major market instruments is relatively cheap) N.B: Manager implementations of risk parity will vary from this simple model as will be discussed later Equities Bonds Commodities
  • 36. Teach-in Risk-Controlled Investment Strategies 5th March 2013 36 0% 10% 20% 30% 40%0% 5% 10% 15% 20% 25% 30% 1972 1977 1982 1987 1992 1997 2002 2007 2012 Equities Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale) 0% 10% 20% 30% 40% 50% 60% 70% 80%0% 5% 10% 15% 20% 1972 1977 1982 1987 1992 1997 2002 2007 2012 Bonds Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale) 0% 10% 20% 30% 40% 50%0% 10% 20% 30% 40% 1972 1977 1982 1987 1992 1997 2002 2007 2012 Commodities Volatility (LHS) Portfolio Allocation (RHS, Inverted Scale) 0% 5% 10% 15% 20% 25% 30% 35% 40% 1972 1977 1982 1987 1992 1997 2002 2007 2012 Trailing24-MonthVolatility Asset Class Volatility Equities Bonds Commodities What does a Risk Parity portfolio look like? – #2
  • 37. Teach-in Risk-Controlled Investment Strategies 5th March 2013 What does a risk parity portfolio look like? – #3 37 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1972 1977 1982 1987 1992 1997 2002 2007 2012 PortfolioWeight Unlevered, no volatility target Equities Bonds Commodities 0% 50% 100% 150% 200% 250% 300% 1972 1977 1982 1987 1992 1997 2002 2007 2012 PortfolioWeight Levered @ 10% volatility Equities Bonds Commodities Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
  • 38. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk Parity Performance - #1 38 Jan 1971 – Dec 2012 Unlevered Risk Parity Risk Parity @ 10% Vol 60% Equities 40% Bonds 50% Equities 50% Bonds 100% Bonds 100% Equities 100% Commodities Total Return 9.46% 10.36% 8.73% 8.69% 8.10% 8.55% 8.98% Excess Return 2.91% 3.76% 2.21% 2.18% 1.63% 2.04% 2.46% Volatility 7.02% 10.00% 9.84% 8.77% 7.57% 15.18% 20.38% Sharpe Ratio 0.41 0.38 0.22 0.25 0.21 0.13 0.12 -1000% 0% 1000% 2000% 3000% 4000% 5000% 6000% 1972 1977 1982 1987 1992 1997 2002 2007 2012 CumulativeTotalReturn Unlevered Risk Parity Risk Parity @ 10% Vol 60% Equities / 40% Bonds 50% Equities / 50% Bonds 0 1 10 100 1972 1977 1982 1987 1992 1997 2002 2007 2012 TotalReturnIndex(logscale) Unlevered Risk Parity Risk Parity @ 10% Vol 60% Equities / 40% Bonds 50% Equities / 50% Bonds Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
  • 39. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk Parity Performance - #2 39 -30% -20% -10% 0% 10% 20% 30% 40% 50% 60% 70% 1972 1977 1982 1987 1992 1997 2002 2007 2012 CumulativeContributiontoPortfolioExcessReturn Equities Bonds Commodities Source: MSCI, S&P, Merrill Lynch; Calculations: Bloomberg, Redington
  • 40. Teach-in Risk-Controlled Investment Strategies 5th March 2013 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 1970 1975 1980 1985 1990 1995 2000 2005 2010 10 Year US Treasury Yield Rising Interest Rate Period Risk Parity and Rising Interest Rates 40 # Time Change in Yield (bps) Unlevered Risk Parity Risk Parity 10% Vol 60 / 40 Portfolio 1 Feb 1972 – Sep 1975 +244 1.16% 0.00% -7.83% 2 Dec 1976 – Feb 1980 +571 -2.44% -4.13% -2.30% 3 May 1980 – Sep 1981 +508 -13.90% -9.83% -12.85% 4 Feb 1983 – Jun 1984 +304 -1.25% -2.89% -3.40% 5 Aug 1986 – Sep 1987 +231 10.44% 10.53% 14.32% 6 Sep 1993 – Nov 1994 +246 -7.48% -11.11% -4.37% 7 Sep 1998 – Jan 2000 +169 3.77% 4.78% 10.71% 8 May 2003 – Jun 2006 +130 7.58% 10.93% 8.68% Annualised Excess Return Annualised Excess Return Over Months Where Interest Rates Rose Annualised Volatility Over Months Where Interest Rates Rose Unlevered Risk Parity -6.53% 6.75% Risk Parity 10% Vol -9.30% 10.04% 60 / 40 Portfolio -6.72% 9.33%
  • 41. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Alpha / Beta Separation 41 Return Cash Beta Alpha
  • 42. Teach-in Risk-Controlled Investment Strategies 5th March 2013 The Risk Parity Manager Universe 42 Passive (β) • Relatively pure risk parity beta • Balances risk between asset classes or other risk factors • May include smarter beta approaches within asset classes (e.g. an enhanced commodity index) Semi-Active (β + α) • Risk parity beta + mild amounts of alpha • Alpha may be generated through discretionary bets (e.g. taking macro views) or through systematic tilts (e.g. cutting the volatility target in higher risk environments) Active (β + α) • Risk parity beta + large amounts of alpha (hopefully!) • May not resemble risk parity much if very active • Typically charge higher fees for the added “activeness” / alpha Global macro / quantitative equities / hedge fund managers Traditional balanced fund managers now offering risk parity solutions
  • 43. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk Parity Managers – How do they vary? 43 •Pooled fund offerings will typically target a volatility of 8-10%, though there may be differences. For segregated mandates, the volatility target can usually be specified (up to 25%).Volatility Target •In our simple risk parity model, we used trailing 24-month volatility to forecast future volatility. Managers are likely to use different calculations from ours, including the use of implied volatilities in some cases. Volatility Window •Unlike our model in which we used 3 asset classes, risk parity managers may use more asset classes (e.g. credit). However, the inclusion of more asset classes doesn’t necessarily make it better. Many managers balance risk across risk factors rather than asset classes. Asset Classes •We rebalanced monthly although most managers will trade more frequently than this, often when the benefits of rebalancing outweigh the costs (which are low due to the use of futures contracts). Rebalancing •Within each asset class rests the choice of what futures instruments to use. For example, many managers are now choosing to use the 30 Year US Treasury rather than the 10 Year. Smarter, customised commodity indices are also a feature of many managers. Beta Instruments •These will vary depending on manager philosophy and investment process though crucially the purpose of alpha and beta separation is to isolate true skill from generic market risk premia. Alpha Sources •Given the extensive use of futures contracts, the management of collateral is a key aspect in terms of fund management for risk parity strategies. The level of free cash in place to satisfy collateral calls should be monitored. Collateral Management
  • 44. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Drawdowns in the Risk Parity Manager Universe 44 Source: Managers, eVestment, Salient Partners, Bloomberg Max drawdown = -21.4% -54.0% -32.1% -60% -50% -40% -30% -20% -10% 0% Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10 Drawdown Manager A Manager B Manager C Manager D Manager E Manager F Salient Risk Parity Index MSCI World 60/40
  • 45. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Risk Parity is a beta solution (and should be priced accordingly!) 45 Mgr A Mgr B Mgr C Mgr D Mgr E Mgr F Mgr G Mgr H Mgr I 0 10 20 30 40 50 60 70 80 90 100 TotalExpenseRatio(BasisPoints) Source: Managers, eVestment
  • 46. Teach-in Risk-Controlled Investment Strategies 5th March 2013 Implementing Risk Parity in Your Portfolio 46 - Risk Parity is not a panacea. It is, however, a more efficient approach to portfolio construction than traditional methods. It firmly places a focus on risk as well as return. - There are other asset classes and risk factors with betas and alphas worth pursuing which risk parity cannot access easily. Risk parity requires exposures to be able to be taken synthetically. This precludes investment in asset classes which cannot be traded either through futures or swaps (e.g. illiquid credit, insurance-linked securities, etc.) - Therefore, risk parity can be seen as a solution to only part of the entire investment portfolio – that which focuses on major publicly-traded markets. This “bucket” in the investment portfolio is what we term “step 3 - liquid alpha and beta strategies” (see table below). - In addition to volatility-controlled equities and risk parity, within the liquid alpha and beta strategies bucket, we also recommend clients consider trend-following strategies (also known as CTA managers). These risk-controlled strategies offer a liquid risk premium as well as portfolio diversifying characteristics. Part of Redington’s Seven Steps to Full Funding™
  • 47. Teach-in Risk-Controlled Investment Strategies 5th March 2013 13-15 Mallow Street London EC1Y 8RD Telephone : +44 (0) 20 7250 3331 www.redington.co.uk Contacts 47 Disclaimer For professional investors only. Not suitable for private customers. The information herein was obtained from various sources. We do not guarantee every aspect of its accuracy. The information is for your private information and is for discussion purposes only. A variety of market factors and assumptions may affect this analysis, and this analysis does not reflect all possible loss scenarios. There is no certainty that the parameters and assumptions used in this analysis can be duplicated with actual trades. Any historical exchange rates, interest rates or other reference rates or prices which appear above are not necessarily indicative of future exchange rates, interest rates, or other reference rates or prices. Neither the information, recommendations or opinions expressed herein constitutes an offer to buy or sell any securities, futures, options, or investment products on your behalf. Unless otherwise stated, any pricing information in this message is indicative only, is subject to change and is not an offer to transact. Where relevant, the price quoted is exclusive of tax and delivery costs. Any reference to the terms of executed transactions should be treated as preliminary and subject to further due diligence . Please note, the accurate calculation of the liability profile used as the basis for implementing any capital markets transactions is the sole responsibility of the Trustees' actuarial advisors. Redington Ltd will estimate the liabilities if required but will not be held responsible for any loss or damage howsoever sustained as a result of inaccuracies in that estimation. Additionally, the client recognizes that Redington Ltd does not owe any party a duty of care in this respect. Redington Ltd are investment consultants regulated by the Financial Services Authority. We do not advise on all implications of the transactions described herein. This information is for discussion purposes and prior to undertaking any trade, you should also discuss with your professional tax, accounting and / or other relevant advisers how such particular trade(s) affect you. All analysis (whether in respect of tax, accounting, law or of any other nature), should be treated as illustrative only and not relied upon as accurate. ©Redington Limited 2013. All rights reserved. No reproduction, copy, transmission or translation in whole or in part of this presentation may be made without permission. Application for permission should be made to Redington Limited at the address below. Redington Limited (6660006) is registered in England and Wales. Registered office: 13-15 Mallow Street London EC1Y 8RD Dan Mikulskis Director ALM & Investment Strategy Direct Line: 020 3326 7129 dan.mikulskis@redington.co.uk Aniket Das Associate Manager Research Team Direct Line: 020 3326 7153 aniket.das@redington.co.uk