Dec 6, 2010

Actuarial Simplicity

What is simplicity? What's the power of simplicity?

Goethe
It was Johann Wolfgang von Goethe ( listen), a German writer (poet), but also a polymath (!), who
stated
:


And indeed Goethe was right, in (actuarial) science and  practice it's the challenge of overcoming (transcending) this paradox of simplicity and complexity.

The art of actuarial mastership
As models become more and more complex, it takes the art of actuarial mastership to condense this complexity into an outlined, understandable and (for the audience) applicable outcome.

A 'best practice example' of condensing complexity into a powerful inspiring statement, is Einseins famous equation E=MC2 :

Like Paulo Coelho states in his blog about Einstein:
A man (actuary) should look for what is, and not for what he thinks should be. Any intelligent fool can make things bigger and more complex… 

It takes a touch of genius – and a lot of courage to move in the opposite direction.

Or, to quote Einstein:

Everything should be as simple as it is, but not simpler


How to cut through the actuarial cake?
Just three simple examples on how to cut through the complex actuarial cake. Examples that might help you to simplify complexity:

1. Think more simple

A perfect example of 'thinking more simple' is finding the solution of the next math problem (on the left), grabbed from an old high school math test.

Can you solve this problem within 10 seconds?

Found it? Now move your mouse over the picture or click it, to find the refreshing simple answer.....


Remember however not to oversimplify things. Sometimes problems need the eye of the actuarial master to identify important details...



2. Visual Results
Second example is to visualize the outcome of your models instead of power-point bullet conclusions or explaining how complex your model really is.

A nice example is the online dollar-bill-tracking project "Where's George?" from Research on Complex Systems, that measures the flow of dollars within the U.S. (over 11 millions bills, 3109 counties).
About 17 million passengers travel each week across long distances. However, including all means of transportation, 80% of all traffic occurs across distances less than 50 km.
One picture says it all and 'hides' the complex algorithms used, to get  stunning results.

On top of, George collects relevant data about 'human travel' that could be used for developing models of the spread of infectious diseases.

Just take look at the video presentation of George called Follow the Money to find out how to extract simple outcomes from complex models.

One of the simple results (by Brockmann) of this project is that the probability P(r) of traveling a distance (r, in km)  in a short period of time in days (max 14 days) can be expressed as a power law, i.e.:

P(r)= r -1.6

 3. Listen better
Every (actuarial) project outcome fails if there's no well defined goal at first.

Main problem is often, that the client isn't really capable of defining his goal (or problem) very precise and we - actuaries - start 'helping' the client.  In this 'helping' we are imposing our thoughts, beliefs and experiences onto others, by what we think 'is best' for the client. The outcome might often be an actuarial solution that fits the problem in our own actuarial head, but fails to meet the clients problem.

Main point is that we - as advisors - don't really listen well.
Of course that doesn't apply to you as an actuary personally, but it does apply to all other qualified actuaries, doesn't it?

Just to test if you're part of that small elite troop of 'well listening qualified actuaries' (WLQAs), just answer the next simple Client Problem:

Client: I'm confused about 'distances'. It turns out that measuring the distance between two points on earth is really complicated math, as the world is round and not flat.

But even in a 'flat world' I find measuring distance complicated. As an actuary, can you tell me:


What’s the shortest distance between two points in a flat world?

O.K. Now think for a moment.....

Have you got the answer to this complex client problem?

Now that you're ready with your answer, please click on the answer button to find out the one and only correct answer.
The answer is: the shortest distance between two points is zero
Hope you safely (without any mental damage) passed the above WLQA-test......

A Simple Application
A nice demonstration of actuarial simplicity is the well known 'compound interest doubling rule' that states that an investment with compound interest rate R, doubles itself in N≈72/R years.

So it'll take (p.e.) approximately N≈ 12 (=72/6) years to double your investment of $100 to $200 at an compound interest rate of 6% p.a.

While the precise equation of the doubling time is quite complex to handle, it's approximating equivalent, N≈72/R, is simple applicable and will do fine for small size compound interest rates.


It's our actuarial duty and challenge to develop simple rules of thumbs for board members we advice. We actuaries have to master the power of simplicity. Let's keep doing so!

Related links:
- The Complexity of Simplicity
- Where's George?: Wikipedia
- The scaling laws of human travel (2006)

Dec 3, 2010

God’s Definition of Risk

To snap things in the right perspective, now and then it's good practice to consider how actuarial science really started:


Yes, like Laplace stated in his masterwork 'Théorie Analytique des Probabilités', it all began with 'games of chance'... and - today -  perhaps it still is.....

From 'gaming', probability theory developed to 'actuarial science' and finally to 'risk management'.

Risk Levels
Today we distinguish three main types of risk levels:

Risk Level 1
In fact what we are modeling mostly, are the risks we know, the 'known risks'... These risks are the familiar operational, financial and compliance risks

Risk Level 2
These are the strategic risks. Risks related to new markets, mergers and acquisitions, investments, but also business development, brand and reputation risks.

Risk Level 3
These are the unpredictable, the so called 'unknown, unknown risks'.


The Rumsfeld definitions of risk levels
A similar more humorous, but also interesting definition of risk levels, has been given by the United States Secretary of Defense  Donald Rumsfeld  during the Iraq War:
  1. Known Knowns
    There are known knowns; there are things we know that we know
  2. Known Unknowns
    There are known unknowns; that is to say, there are things that we now know we don’t know
  3. Unknown Unknowns
    But there are also unknown unknowns; there are things we do not know we don’t know."



If we're honest, we'll have to admit that even our 'known known' and 'known unknown' risks in our models in reality have a high 'unknown unknown' origin.

Or, as Barry du Toit at Riskworx shows in an excellent paper called 'Risk, theory, reflection: Limitations of the stochastic model of uncertainty in financial risk analysis' : our stochastic model of uncertainty is powerful but limited.



It's (p.e.) an illusion to use 'standard deviation' as a stand alone measure for risk. We must be aware to apply our models without a healthy portion of 'common sense'. Or, to put it in air-plane words:

The danger inherent in 'altimeter usage' is that its unquestioning use will stop pilots from using a range of more intuitive risk measures, such as looking out of the window!

God’s definition of risk
There is no ultimate "God’s definition of risk", we'll have to manage with our limited models as a help to our Risk Insight. Success!


Sources and related links:
- Limitations of the stochastic model of uncertainty in financial risk analysis
- Laplace: analytic theory of probabilities (English)
- Strategic Management of Three Critical Levels of Risk
- Managing Projects in the Presence of Unknown Unknowns

Nov 29, 2010

Longevity Swaps: The Next Bubble

Last century our Human Footprint Index (the relative human influence in each terrestrial biome on Earth) increased exponentially.

According to the Human Footprint Index, not only Europe (left picture), but also India and the North East of the U.S.  are  'humanized'.......  Step by step we - human beings - are 'amazingly' filling up every little corner of the world.

Just a few more years and - as a species - we'll be 'omnipresent'.

Yes, we are crowding this good old earth at an immense speed, as our health increases and we keep living longer every year. The social and financial effects of this population growth will be enormous.

Nevertheless we're very unsure about how our population will grow in the future...

Key point is that population growth will strongly differ per region and country. The growth in the western countries will be driven by the aging population, while the growth in developing countries, like Africa, will be driven by new births. In the' aging countries' population growth will undermine our social and first pillar pension systems....

Pension Fund Transform
This aging society development implies that our mature pension funds will have to transform from pension-saving to pension-paying.

Secondly 'longevity risks' become more and more important and can not be 'financed' anymore from the declining funding margin.

Example: The Longevity Trap
Let's take a simple example.

Rule of Thumb Nr. 1
In the so called developed countries, every year we live, our life expectancy increases (on average) with 3 months! Or, as Harry de Quetteville from the Telegraph stated it more humorous:

For every year we live, we are only really nine months closer to death!

Rule of Thumb Nr. 2

This rule of thumb states the financial impact of longevity:

One year increase in life expectancy from age 65 equates to approximately a 3% to 5% increase in pension value liabilities.


Combining  rule I and II leads to the conclusion that on average the pension liabilities of mature pension funds currently urge for a yearly 1% increase of liabilities, just for financing the cost of extended longevity.

A decade ago, the slowly increasing 'sniper costs' of extended longevity could easily be financed out of the pension fund's margin.

Nobody (not even an actuary!!!) could imagine that longevity would become a substantial issue.

Later that decade, disappointing stock returns and low long term liability discounting rates shrinked the pension margin and even turned it negative. This pension margin reduction put the cost of extended longevity in quite a different perspective. The 'Actuary Longevity Trap' had become a fact!

What really had happened was that the high returns and interest rates of recent decades masked the (increasing) costs of extended longevity.

'Once bitten, twice shy', one would think.... But not for actuaries, as
the next bubble is coming up........


Longevity Swaps
The Next Bubble


Reinsurance
Not only pension funds but also Life insurers are facing significant longevity risks as mortality rates are still declining. Reinsurance companies like Swiss Re and Münchener Rück try to fight the underestimated longevity effects of pension funds with so called ‘Longevity Swaps’.

The essence of a longevity swap is that a pension fund trades the - due to longevity - uncertain estimated future pension payments until death (floating leg) against the actual future pension payments for the scheme’s pensioners payments (fixed leg).

Why a Longevity Swap is a bubble?....

The Longevity Swap only transfers the risk to a counter party (reinsurer), but this counter party in general doesn't have a complementary risk to match the accepted risk of the longevity swap. The counter party bases his underwriting only on a more 'safe' calculation. 

This implies that whoever is sitting at the end op the swapping chord, will finally pay the bill (systematic risk!) in case longevity risks are structurally being kept underestimated. Now if one thing is a fact, it is that - for decades - longevity risks are underestimated en this underestimating behavior will continue in the future, as we actuaries are apparently ignorant at this point.

Just like the high interest rates in the past masked the actual cost of the extended longevity, current longevity swaps wrap' long term unsure and underestimated  future mortality rates' in interest-discounted derivatives. 

Whatever reinsurers are discounting after 30-50 years at interest rates above 2% doesn't really count anymore in terms of present value. but will reveal itself in the coming decades....

By the way, is a 90% (asymmetric?) confidence level resulting in a 11 year life expectation spread in 2050 consistent with a 97,5% or 99,5% confidence level used as basis for a longevity swap?

Probably not.........

But who cares about consistency, when 'short money' is on the table?
You? (Hope you do..)


Conclusion
We're left with no other conclusion than that it will turn out that longevity swaps in their current form are the new systematic risks of the future!

Any solutions? 
The only solution to prevent longevity swaps from becoming a bubble is to find complementary 'matching' risks that compensate the accepted risk (profile).

It's hard to find matching risk profiles for the reinsurer. The fact that longevity mainly applies to older people (top around age 80-85) makes it hard/impossible to compensate longevity risks with mortality risks at younger ages.


Perhaps a kind of solution could be that pension funds could offer the relatives of a pensioner the possibility of insuring (life insurance) the calculated liability of the pensioner (or the remaining annuities until the age of 80) at the moment of death  (a kind of liability legacy life insurance).

Perhaps some creative actuaries have some other ideas? Please let me know...


Sources & Related Links:
- Life Tables United States Social Security Area (2005)
- The Human Footprint Index Graphics
- World Population Growth
- Wapedia: World Population
- A model for longevity swaps
- Understanding Modeling and Managing Longevity Risk
The pros and cons of longevity hedging(2010)
- Longevity Risk in Pension Annuities (2005)
- Increasing Longevity: Effects on Pension (2009)
- Longevity swaps as an investment (2010)
- Pensions: Change management (2009) 
- Pensions: On the wrong track? (2009)