This document summarizes a presentation on pricing variable annuity guaranteed living benefits given in 2009. It discusses how recent market trends have impacted pricing, including large losses announced by insurers, increased reserves, and changes to VA product designs. It also examines factors affecting pricing, such as lower interest rates, higher volatility, increased hedging costs, and higher asset correlations. The presentation argues that pricing assumptions may need to be adjusted to account for these changes in the economic environment.
The Imperatives of Investment Suitabilityfinametrica
Presentation given by Paul Resnik (Co-Founder, FinaMetrica) at the National Institute of Securities Markets (NISM) in Mumbai, India. It emphasizes on the importance of measuring risk tolerance of investors in the process of matching investment products to an individual's needs. Visit www.riskprofiling.com to know more.
The Imperatives of Investment Suitabilityfinametrica
Presentation given by Paul Resnik (Co-Founder, FinaMetrica) at the National Institute of Securities Markets (NISM) in Mumbai, India. It emphasizes on the importance of measuring risk tolerance of investors in the process of matching investment products to an individual's needs. Visit www.riskprofiling.com to know more.
For more information contact: emailus@marcusevans.com
Roger Gray, the Chief Investment Officer at USS Ltd. shared his presentation entitled "Implementing a Long-Term Investment Philosophy" at the European Pensions and Investment Summit.
Join the 2015 Summit along with leading regional pension investors and global asset managers in an intimate environment for a focused discussion of key new drivers shaping institutional investment strategies today.
For more information contact: emailus@marcusevans.com
Considerations for a sustainable corporate venture program by Robert Ackerma...the Hartsook Letter
Reputation is Key to the Success/Failure of a CVC Program
* Corporate Venturing is Here to Stay
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Aaron-Micael Beydoun has estimated the depletion of Abu Dhabi's oil reserves in 93 years in a course on investment management at Harvard University. Managing the USD 620 Billion of the Emirate's sovereign wealth vis-à-vis the Abu Dhabi Investment Authority, ADIA, he has proposed the following: Although an optimization of financial assets has established the portfolio strategic asset allocation, this ignores that underlying commodity asset i.e. oil, that forms the majority of client’s implied existing portfolio. Since the oil that forms the bulk of implied national wealth is highly volatile, then traditional portfolio investment risk management that only includes invested financial assets may not properly account for total wealth risk. Therefore, so as to properly account for national wealth risk, we recommend a strategic asset allocation that broadens the asset base to include the non-monetized commodity asset i.e. oil so as to properly account for national wealth risk.
The Rise of Generative AI in Finance: Reshaping the Industry with Synthetic DataChampak Jhagmag
In this presentation, we will explore the rise of generative AI in finance and its potential to reshape the industry. We will discuss how generative AI can be used to develop new products, combat fraud, and revolutionize risk management. Finally, we will address some of the ethical considerations and challenges associated with this powerful technology.
1. Elemental Economics - Introduction to mining.pdfNeal Brewster
After this first you should: Understand the nature of mining; have an awareness of the industry’s boundaries, corporate structure and size; appreciation the complex motivations and objectives of the industries’ various participants; know how mineral reserves are defined and estimated, and how they evolve over time.
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1. Variable Annuity Guaranteed Living Benefits
–Does Industry Pricing Still Make Sense?
2009 SOA Life Spring Meeting, Denver, CO
May 18th, 2009
Frank Zhang, CFA, FRM, FSA, MSCF, PRM
Director, Equity Derivatives
Société Générale Corporate & Investment Banking
New York, NY
This presentation contains the current opinions of the author and not of Societe Generale. The presentation does not
represent a recommendation of any particular security, strategy or investment product. Any such opinions are subject
to change without notice. This presentation is distributed for educational purposes only.
2. Recent VA market trend
Financials
Large VA losses announced by insurance companies
Much larger realized and unrealized capital losses in general account for
investment portfolios’severely depleted surplus and free capital
Most companies have to increase GMxB reserves and required capital,
accelerate DAC write-offs; while lower AUM depresses expected future fee
revenues
Changes
Most reinsurance companies exited the VA market, once again
Some companies stopped writing VA guarantees in certain markets
Most VA writers started to modify VA products by increasing fees, reducing
guarantees, and requiring more restrictive asset allocations
Some move to much reduced guarantees and low fees
Some keep the relatively rich guarantees but charge higher fees
However, some insurance companies recently announced entering the VA
markets
2
3. Many factors affecting VA guarantee pricing
Expected
Asset Gross
Risk Free Returns Asset
Rate Correlations
Realized Basis Risks /
Volatility Replication
Cost
Implied Hedging
VA
Volatility Transaction
Profitability Costs
Complex
STAT/GAAP
Product
Accounting
Designs
Liquidity and
Funding
Capital
Costs
Needs
Policyholder
Behavior
Some of the most exotic, super-long dated, and hybrid derivatives ever created!
3
4. Very challenging VA hedging
and risk management environment
Unaffordable hedging/Full reinsurance costs
Volatilities, interest rates, correlations
Expected future equity returns for real world projections
Hedge effectiveness (tracking errors, transaction costs, etc.)
Capital Costs rise when easy financing is unavailable
Hedging under stress
Surprising tracking error arose when hedges failed to replicate actively-
managed mutual funds (compounded by large dollar delta positions)
Companies reduced option purchases from prior standard 3-Greeks hedges
Liquidity and cash flow problems when funding costs are high
Certain regulatory requirements may have created unexpected
consequences
It’ all about STAT and economics now, rather than GAAP earnings volatility
s
4
5. Pricing of guarantees vs. base contract
Different impact of policyholder behavior
Different pricing assumption bases (real world vs. risk neutral)
Some products are messed up by accounting
Base contract Guarantees
Base contract fees are typically GMxB Guarantees are generally
not hedged (or should be) hedged
Non-derivatives and no leverages Derivatives with risk neutral
with real world pricing pricing and hedging
Higher persistency good Higher persistency bad
Critically-dependent on expected Critically dependent on risk-free
asset growth rate for future fee rates and equity implied
revenue volatilities for derivatives pricing
Dependent on equity long term All guarantees should be hedged
expected volatilities for reserve (FAS 133/157 or SOP 03-1) –
and capital charges hedging the economics
5
7. Impact of lower risk free rate
and lower equity growth rate
Risk free rate for risk neutral pricing of derivatives
Rho risk is very significant and, unfortunately, some consider it too late or too costly to hedge
today
Generally, the roll-up or bonus rate of guaranteed amount or base can not be hedged away
Don’expect magic from the hedging team when risk free rate is 3% but the roll-up rate is
t
6%. The difference accrues, but a loss is a loss.
If the roll-up or bonus rate is significantly higher than the risk free rate, it is not sustainable
Smart designs should have floating roll-up rates linked to risk-free rates
Long term expected equity growth rate for real world pricing
For base contract pricing, companies typically don’hedge or can’afford to hedge all fees
t t
Lower expected equity (or all asset class) returns means lower allowable expenses, lower
profits, higher reserves and more required capital
Recent capital market events have demonstrated that, not only will drift be lower in the future,
but also the uncertainty of the expected return is now much higher
If equity mean return is 5% with higher volatility, it is almost impossible to price VA to achieve
ROE at 15% in the next few years. So maybe we should price VA for 5% ROE?
7
8. Historical implied and realized long term volatilities
Significant pickup in long term implied and realized volatilities
40
1550
10Y Implied
10Y Rel-Vol 35
1450
SPX
1350 30
1250
10-Y Volatility
25
S&P 500
1150
20
1050
15
950
10
850
750 5
650 0
2/8/99
7/29/99
1/14/00
7/5/00
12/20/00
6/14/01
11/29/01
5/27/02
11/11/02
4/28/03
10/13/03
3/29/04
9/13/04
2/28/05
8/15/05
1/30/06
7/17/06
1/1/07
6/20/07
12/6/07
6/3/08
11/18/08
5/13/09
8
9. Historical implied and realized short term volatilities
Significant pickup in short term implied and realized volatilities
100
1550
VIX 90
1450 1M Rel-Vol
SPX 80
1350
70
1250
60
olatility
S P5 0
& 0
1150
50
1-MV
1050
40
950 30
850 20
750 10
650 0
2/8/99
7/29/99
1/14/00
7/5/00
12/20/00
6/14/01
11/29/01
5/27/02
11/11/02
4/28/03
10/13/03
3/29/04
9/13/04
2/28/05
8/15/05
1/30/06
7/17/06
1/1/07
6/20/07
12/6/07
6/3/08
11/18/08
5/13/09
9
10. Impact of higher implied volatility
Implied volatility for risk neutral pricing of derivatives
Implied volatilities are high –we may be facing a new higher-volatility regime
Long-dated implied volatilities are higher than the assumptions implied by most VA pricing:
Are they temporary and how soon will the things be normal?
What are the reasonable levels when capital markets recover?
Fair value and MTM accounting will drive more derivatives needs
VA guarantees should be marked-to-market IF there is a market
There is scant liquidity for very long-dated volatility (e.g., > 10 years)
Even 10-year volatility is now less liquid than before the crisis
MTM possibly not to be pushed by authorities before current capital market crisis recovers
Once markets recover and if MTM rules are mandated, the natural trend will again be higher
implied volatilities from strong demand
Supply and demand for long-dated options are currently very unbalanced and may never
return to the last ten year (before crisis) steady state
10
11. Impact of higher realized volatility
Realized volatility for derivatives hedging
Delta-hedging with realized volatility
The P/L is based on realized volatility (past experience), very uncertain and path dependent
There may be very large MTM pricing volatility (future expectation) which is STILL based on
implied volatility
Significant gap risk (Gamma and jump risks)
Hedging options CAN be designed to be paid on realized volatility
Companies don’have to pay implied volatilities when hedging
t
For example, timer options are priced such that the eventual cost is on realized volatility
Very high realized volatilities today are catching up with the implied
Resulting much higher realized P&L losses (buy-high and sell low frequently)
Making delta-hedging cost similar to cost of options
Long term expected realized volatilities for real world pricing
VACARVM and C3P2 are directly impacted by the long term expected volatilities of the asset
classes
The recent capital market experience would probably push companies to choose higher and
more prudent long term expected volatility assumptions than before
11
13. Impact of higher cross market
and cross asset class correlations
New regime of correlations?
In today’ integrated global economy there seems to be a new regime of correlations, as well
s
as new regime of volatilities
During a crisis all asset classes and markets tend to crash similarly
Correlations among asset classes approach 100%
Correlations among different markets approach 100%
Implication of higher correlations in crisis
Higher correlations of asset classes means higher volatility (both implied and expected)
Making diversification and asset allocation much less effective
Diversification is not there when you really need it
The implication for product pricing –the correlation matrix in the assumption book probably
under-estimated the cost of hedging and over-estimated the profitability
Many hedging programs are under-hedged in crisis (and could be over hedged in boom
markets)
It is smart to purchase basket options when implied correlations are lower than crisis
correlations
13
14. Hedge effectiveness
–Impact of higher basis risks
Basis risks (replication costs)
In the long run, the mean basis risks are supposed to be around zero
Hedge ratios are typically set based on minimum variance methodology which is equivalent to betas from multiple regressions.
The results should sometimes be positive and sometimes negative
But the trending “
runs”could take a long time to break, i.e. we may still see long periods of continuous mostly “
+s”or “
-s”
The regression-produced hedge ratios are only based on some statistics (mean results from the past
history) and any day’ results are random.
s
The period of history can not be too long for stale results and too short for too much sensitivity or market noise.
Most hedgers (insurance companies and banks) lost from basis costs in 2008
The impact is magnified when the dollar delta sizes increased significantly (many multiples)
Many hedgers lost 300 bps or more
basis options are not readily available from dealers for large sizes
Part of the reason may be the attribution of basis risks vs. gap (Gamma and jump) risks
When markets are very volatile, the differences between the active managed fund returns and the index returns may not have
been properly identified for basis or gap components.
Price-index based instruments to hedge against guarantees that are based on total returns
There may be difference in volatility surfaces (less significant today)
It may be better to use total return swaps and/or sell dividend swaps (when expected dividends were higher)
The pricing/volatility assumptions may have to be adjusted upwards
14
15. Impact of higher hedging transaction cost
“Normal”financial engineering theory and corresponding
hedging practices break down during the extreme capital
market volatility and severe liquidity crisis
Significant increase in counter-party credit risks and potentially corresponding cost of
OTC transactions
Everyone is afraid of almost everyone else
Net Settlement for OTC derivatives an issue in many states
Due to liquidity crisis, capital is very expensive and funding costs are higher
Some transactions that could easily be done just a year ago with easy access to short term funding (and
easy roll over) are now too expensive due to lack of liquidity, funding and strong distaste for leverage
Everyone is holding onto their cash
Costs of shorting assets are higher and thus all hedges for downside protections are
more expensive
Higher cost to borrow stocks to short by dealers and hedge funds (from pension funds, mutual funds, etc.)
Sometimes certain assets cannot be shorted by government regulations at times
Difference between Fed fund rates and swap rates for banks who short
Higher futures roll costs and, therefore, delta hedging is less attractive
Fewer natural/speculative sellers of long dated options/volatilities today than a year ago would also result
in higher cost of long dated options
15
16. Accounting complexity
When in good time, companies were concerned about the
(GAAP) earnings volatility
Big reason for not hedging GMDB and GMIB by majority of the companies
Only very few priced GMDB and GMIB as derivatives and implemented
economic hedges
Most companies face large increases in reserves at 2008 year-end –with no or little
corresponding gains from existing hedges or reinsurance on GMDB and GMIB
Now in crisis mode, companies are mostly concerned about
(STAT) capital
This is precisely the most expensive time to acquire new capital when you
(and everyone else) need it
Liquidity is very low and credit/counter-party risks are very high
Yet, certain regulatory requirements, such as Standard Scenarios and state
restrictions for reinsurance contracts may have inadvertently prevented
companies taking prudent hedging or reinsurance positions before the
crisis.
16
17. Fund changes as fundamental solutions
Basis risk management
Funds may be chosen with little or no basis risk
Hedgeable (shortable) funds design
ETFs, Index, and rules-based passive investment funds are efficient
Loss in revenue sharing may be more than offset by much smaller replication costs
The key is track-ability
Volatility control
Asset allocation requirement is essential –makes long term hedging predictable and lowers
trading costs
Volatility-target funds are the best
CPPI based funds similar but with different goal –look out for lock out
Automatic rebalancing of funds, according to asset class weights or volatility rules, should be
applied to as many funds as possible
Fund solutions are the best approaches to bring down the guarantees cost
Smart designs would ask policyholders to pay for active investment choices
and highly volatile asset classes
17
18. VA guarantees are derivatives
VA guarantees are and should be treated as derivatives in pricing
All guarantees should be priced as hybrid derivatives
All derivatives should be hedged
All assumptions (implied volatility, risk free rate, asset growth rates, asset
expected volatility, policyholder behavior, and asset correlations) should be
consistent between risk management and pricing design
Leave enough room for unknown risks and price conservatively
If you can not get reinsurance or fully hedge, the guarantees
are probably priced too low
18
19. Many factors affecting VA guarantee pricing
Expected
Asset Gross
Risk Free Returns Asset
Rate Correlations
Realized Basis Risks /
Volatility Replication
Cost
Implied Hedging
VA
Volatility Transaction
Profitability Costs
Complex
STAT/GAAP
Product
Accounting
Designs
Liquidity and
Funding
Capital
Costs
Needs
Policyholder
Behavior
Some of the most exotic, super-long dated, and hybrid derivatives ever created!
19
20. Integration of risk management and VA pricing
Integrated Solutions
Diversified solutions (short and long terms, actuarial and capital markets)
Short term solutions managed by hedging team: dynamic hedging (doesn’just mean futures)
t
and swaps (including semi-static and rebalancing hedges)
Long term solution managed by actuaries: full reinsurance if possible
Structured solution in between of dynamic hedging and reinsurance should be jointly managed
by all
Integrated Teams for VA guarantee pricing and risk management
Much closer working relationship between risk management and pricing actuaries
Much better integration of financial engineering and actuarial science
Much better enterprise risk management approaches that optimize the trade-offs among
capital management, financial risk management, derivatives management, and product
management
Much better senior management understanding of the many bets their company is taking
20