Aug 7, 2008

Origin of funds?

What's the origin of (mutual) funds?

In 1774 a Dutch merchant Adriaan van Ketwich started an investment trust under the name "Eendragt Maakt Magt" (translated: Unity Creates Strength).
Five years later Van Ketwich starts his second trust under the name 'Concordia Res Parvae Crescunt' (translated: Small things grow in harmony).




If you're interested: Geert Rouwenhorst did a lot of historic research in 'the origins of mutual funds'.

The initial price of volatility

We'll start this blog with some theory about volatility.
A short excerpt form the original
interesting article on Estopedia, called "The Uses And Limits Of Volatility" by David Harper,CFA, FRM
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One of the theoretical properties of volatility may or may not surprise you: it erodes returns.

This is due to the key assumption of the random walk idea: that returns are expressed in percentages. Imagine you start with $100 and then gain 10% to get $110. Then you lose 10%, which nets you $99 ($110 x 90% = $99). Then you gain 10% again, to net $108.90 ($99 x 110% = $108.9). Finally, you lose 10% to net $98.01. It may be counter-intuitive, but your principal is slowly eroding even though your average gain is 0%!

If, for example, you expect an average annual gain of 10% per year (i.e. arithmetic average), it turns out that your long-run expected gain is something less than 10% per year. In fact, it will be reduced by about half the variance (where variance is the standard deviation squared). In the pure hypothetical below, we start with $100 and then imagine five years of volatility to end with $157:


The average annual returns over the five years was 10% (15% + 0% + 20% - 5% + 20% = 50% ÷ 5 = 10%), but the compound annual growth rate (CAGR, or geometric return) is a more accurate measure of the realized gain, and it was only 9.49%. Volatility eroded the result, and the difference is about half the variance of 1.1%. These results aren't from a historical example, but in terms of expectations, given a standard deviation of σ (variance is the square of standard deviation, σ^2) and an expected average gain of μ, the expected annualized return is approximately μ - ( σ^2 ÷ 2).
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The 'hidden secret' in this article is in the last line.

We may define the Volatility Rate Loss (VRL) here as the difference between the Average Annual growth Rate (AAGR) and the (real) Compound Annual Growth rate (CAGR).

VRL = AAGR - CAGR

Let's calculate the VRL for several volatilities:

Volatility VRL
σ ( σ^2) / 2
3% 0,03%
5% 0,13%
10% 0,50%
15% 1,13%
20% 2,00%
25% 3,13%
30% 4,50%
35% 6,13%
40% 8,00%

From this simple table, and given the fact that actual volatility of several main indexes (shares) are varying around 20-30% and that volatilities of 40 (or more) of investments in individual companies are no exception, it's clear that we can not neglect the influence of VRL.

For example if we take an investment with an average return of 10% and a volatility ( σ ) of 20%, the average return (of 10%) will show 2% too high.

Another way of putting it (in this last case) is that when you decide to step over from a non-volatile investment to a volatility risk type of investment, your investment should return on average 2% higher to give the same return as your non-volatile investment. In a way VRL is the initial price you pay for volatility sec.

So, when judging returns, don't look at average returns, but always look at the Compound Annual Growth Rate.

Jul 14, 2008

Longevity risk solved


Holiday news today...

An unknown Dutch actuary (don't quote me !) claims to have found the definitive solution for what's called 'longevity risk'.

Instead of a traditional non-comprehensive actuarial equation, the proof is one of those rare, and sometimes dangerous or wrong, visual proofs in (actuarial) mathematics.



Anyway, have a nice holiday!

Jul 8, 2008

Klantenmonitor Zorgverzekeringen®

Resultaten onderzoek Klantenmonitor Zorgverzekeringen® :

gemiddelde marktscore voor:
- dienstverlening aan klanten: 7,4 (2006:idem)
- probleemafhandeling: 4,9 ( 2006: 5,5)

Eindoordeel dienstverlening
Verzekeraar 2007 2008
Pro Life Zorgverzekering 8.0 8,1
De Friesland Zorgverzekeraar 7.7 7.9
Azivo Zorgverzekeraar 7.5 7.8
DSW Zorgverzekeraar 7.8 7.7
IZA 7.5 7.7
ONVZ Zorgverzekeraar 8.2 7.6
Univé Verzekeringen 7.4 7.6
Zorg en Zekerheid Zorgverzekeraar 7.4 7.5
IZZ 7.4 7.5
FBTO 7.5 7.4
Agis Zorgverzekeringen 7.4 7.4
Groene Land Achmea 7.4 7.4
OHRA 7.4 7.4
CZ 7.3 7.4
Trias Zorgverzekeraar 7.4 7.3
Zilveren Kruis Achmea 7.2 7.3
De Goudse 7.4 7.2
AnderZorg 7.3 7.2
VGZ 6.9 7.2
Avéro Achmea 7.0 7.1
Menzis 7.2 7.0

Jul 7, 2008

Simpson's paradox

Let's take a look at a simple fund management score card.


Fund 1

Fund 2

Fund 1+2


Return Assets Rate Return Assets Rate Return Assets Rate
Fund manager A
8 200 4,0% 72 800 9,0% 80 1000 8,0%
Fund manager B 48 800 6,0% 22 200 11,0% 70 1000 7,0%
Total Fund managers 56 1000 5,6% 94 1000 9,4% 150 2000 7,5%











Clearly Fund manager B performs 2% better in both Fund 1 and 2 than Fund manager A. However, across both funds, Fund manager A seems to perform better.

This effect is called Simpson's paradox.

Keep in minds:
  • Always be critical in ranking mix funds (managers) on overall performance
  • Even if the risk profiles of Fund 1 and 2 are the same, Simpson's paradox may show up
  • Besides choosing the right Fund manager, choosing the right asset mix is just as important

Another nice example of Simpson's paradox is:



Woman

Man

People


Survived # Start Rate Survived # Start Rate Survived # Start Rate
Treatment A 3135 3300 95 4020 6700 60 7155 10000 72
Treatment B 7395 8700 85 650 1300 50 8045 10000 80

A cohort or a series of people receive treatment A, and another cohort receives treatment B. The survival rate of treatment A is better for woman as well as for man, but not for people!

Simpson's Paradox Actuary Links:

  1. Ratemaking: The CEO asks the actuary...
  2. Smokers and survival rates
  3. Credit Score really explains Insurance Losses?

Jun 26, 2008

Managing Expectations


Managing Expectations, how do you do that?



Customer: How much is that parrot in the window?

Pet shop owner: Somewhere between $200 and $250

Customer: Erm, OK, I’ll give you $200 for it then!


To manage your stake- or shareholders expectation, it's often not wise to present them the expected project costs. What to do?

Source

Jun 21, 2008

DB plans outperforme DC plans by 1%

Watson Wyatt has been comparing rates of return between defined benefit
(DB) and defined contribution (DC) plans for more than 10 years.1
This most recent comparison finds that between 1995 and 2006, DB plans
outperformed DC plans by an average of 1 percent per year.



Asset-Weighted Median Rates of Returns
DB and 401(k) Plans — 1995-2006

Year Number of sponsors DB plan 401(k) plan Difference
2006 914 12.90% 11.34% 1.56%
2005 2, 584 7.74% 6.69% 1.05%
2004 2,583 11.81% 9.80% 2.01%
2003 2,514 21.35% 19.68% 1.67%
2002 2,085 -8.56% -10.93% 2.37%
2001 2,239 -3.78% -6.07% 2.29%
2000 2,058 -0.01% -2.76% 2.75%
1999 1,472 13.46% 14.41% -0.95%
1998 2,958 14.25% 15.29% -1.04%
1997 2,931 18.82% 19.73% -0.91%
1996 3,034 14.53% 14.10% 0.43%
1995 3,063 21.10% 19.20% 1.90%
Average
10.30% 9.21% 1.09%

Source

Jun 8, 2008

Temperatuur en overlijden

Er blijkt toch een relatie tussen de temperatuur en het aantal overlijdensgevallen.


Bron

Jun 6, 2008

Pension differences Japan & U.S.


In Japan, only 30.7% of respondents agreed or strongly agreed that employers will play a less significant role in pension provision in 20 years, the survey found. In comparison, 66.5% of U.S. respondents to an earlier survey agreed or strongly agreed.

Source