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Okay, so in this last video,

we're going to have a look at two additional tools which you may use.

To find the best performing managers, adjusted to some kind of risk measure.

And actually, this is one of my preferred measures, and

I'll explain to you why I quite like this measurement.

This risk-adjusted performance ratio, which is not as common as sharp or

[UNKNOWN, but in my view has something very right to it.

So what we'll do, we'll talk about the MAR ratio, and

MAR comes from a newsletter which has been around for many, many years.

And it actually says Manager Report Newsletter, and

it has an emphasis on hedge fund analysis or

indeed exactly what we're discussing here, peer group analysis.

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And the drawdown to me is why I like this ratio,

it's actually a notion of risk which makes probably

more sense than is intuitively to a customer.

Who hasn't gone maybe to university and does not really know

what a standard deviation is, and may have difficulty in grasping it.

Especially, so if that standard deviation captures

a return which exceeds the average.

This may be somewhat difficult for somebody to associate that to risk.

But certainly, a notion that is more straightforward

to be identified with risk is the notion of maximum loss or

maximum drawdown or also [INAUDIBLE].

Basically, you say the worst you could lose by buying this security or

this investment fund is so much and this to me has a very clear meaning okay.

So a MAR ratio in excess of 2 will be

a manager who delivers maybe 92% total

return since inception as we see here and

has had a maximum loss of 46%.

So 96 divided by 46 is 2.

And just to highlight again, you've seen this chart already, but

what the drawdown means.

It's the worst possible scenario of entering the market

at the peak here in 2000 and exiting the market when fear is at its maximum.

In 2002, and there you lose 46% and this will be your drawdown, okay.

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So, using the MAR ratio to identify especially when you have no

benchmark in terms of markets, market indices may prove a very.

A useful measure and indeed, also something which is simple to grasp.

You compare the total return since inception, and

you divide it by the maximum loss.

Simple and intuitively appealing but now there's a shortcoming to this MAR ratio.

And I want to illustrate that with the following examples.

Assume we have two managers.

Manager A has a CAGR, that's compounded annual growth rate,

total of 40%, so since inception and

a Drawdown, a maximum loss of 20, so a MAR ratio of 2.

Manger B has slightly above total return of 50% but

also are sharper Drawdown 30%,

so 50 divided by 30 is 1.66.

Okay, so the first manager, Manager A has a higher MAR ratio,

so you would be tempted to your being climbed to allocate all

your investment to him and not to Manager B.

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But what if I now tell you that Manager B has been around for

20 years and Manager A only for 5 years?

S clearly, you would say Manager B has more experience and may be, he has

a greater Drawdown because that Drawdown happened when Manager A did not exist.

If Manager A had existed then, may be he would have experienced a greater loss.

So, the way to solve the shortcoming of the MAR ratio is the CALMAR ratio.

And the CALMAR ratio is quite simply the same ratio of the MAR ratio but here,

instead of looking at the worst possible loss over its inception.

Basically, here, you're looking at the worst loss over the last 36 months or

the last 3 years.

So, CALMAR and MAR ratio need to be used together

because maybe the idea of a maximum loss of 5% within the last 3 years.

Does not give you an accurate picture because maybe the fund is

actually far more riskier than that and has experience of 46% loss 15 years ago.

So you need to use both but at least you can be sure that using

the CALMAR ratio you're comparing apples with apples.

And you're comparing managers who have been in existence and

over the same time period.

And clearly, this is something that is obviously very important to mention.

When you are doing this filtering, when you are extracting

from the database, managers based on return statistics,

risk measurements percentages of positive months and etc., etc.

You need to make sure that you are comparing apples with apples and

that all the managers have a similar mandate when investing their funds.

So in conclusion of this set of two videos,

we've seen here that to perform the peer group analysis.

What you need is a good database that will have

managers which are ranked by categories.

And we need to make sure that this is done professionally and each category,

you do find managers that have a specific investment philosophy.

And then, basically, you can filter that data base using

criteria's which best suit your investment philosophy.

I give you one example.

If you want to assemble a fund of funds which will be low risk,

then you will put a lot of emphasis on extracting from your database.

Managers who have the highest proportion of positive months

who have the minimum draw down, who have the lowest volatility.

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All these kind of risk measurements which you will be put an emphasis upon.

So, on the other hand, if you're looking for the really strong growth,

then you may be just shooting for the maximum vita.

The people who use leverage and maximum return strategy,

you have put more emphasis on return, so this all depends on your philosophy.

And then, in the second video, we saw a measurement,

which in my view, is very useful when we are talking about peer group analysis.

And we don't have a benchmark to compare

ourselves too, so basically here we are just looking at a total return

dividing that total return by the maximum loss.

And this is to me a very intuitively appealing notion of risk.

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