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What is Alpha? - YouTube
Channel: Morningstar Europe
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Hello and welcome to the Morningstar Series
'Ask the Expert'.
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I'm Emma Wall and I'm joined today by Edward
Smith, Asset Allocation Strategist for Rathbone.
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Hi, Edward.
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Hi there.
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So today we're going to take a term that a
lot of people have heard of, but you think
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they are not quite understanding properly
and that鈥檚 alpha.
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So what is alpha?
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So to put the theory very simply, we've got
alpha, we've got beta.
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So beta is the element of investment return
or portfolio returns that can be explained
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and particularly can be explained by market
risk by exposure to market.
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Alpha is the residual, it's the unexplained
element, it鈥檚 the dark matter.
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Now it's sort of commonly thought of that
alpha represents some sort of fund manager,
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stock picking, secret source.
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They should be able to achieve, because it's
got nothing to do with the market.
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They should be able to achieve in all market
environments.
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Now that鈥檚 perhaps a bit of an oversimplification.
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I think investors need to ask what if beta
is about more than just exposure to a certain
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market.
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What if we broaden out that definition of
beta to include various other risk factors.
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Those risk factors could be things like star
biases like growth, quality, value.
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It could be about leverage, another factor
might be the size of the companies invested
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in.
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Now if we think of it like that and take it
back to performance measurement.
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The alpha when you have all of these different
kinds of betas, maybe a little smaller.
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But that doesn鈥檛 necessarily mean that the
fund managers have less skill by any means.
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It just means that investors need to think
about which skills they want to pay off for
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at the given moment in the cycle.
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It takes a lot of skill for a fund manager
to consistently maintain exposures to a certain
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type of beta, let's say quality beta.
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Takes a lot of skill for a fund manager to
allocate between different types of risk factors
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in different markets.
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Now all of that is worth paying up for, but
it's not necessarily this alpha that can win
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out, it's going to always outperform in all
market environments.
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That鈥檚 an important point to make.
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Because misunderstanding these definitions
means as you say investors risk buying a particular
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fund and thinking well this fund manager has
done particularly well for the last two three
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years which is quite different to way that
the underlying market has returned therefore.
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Whatever the market does this manager will
outperform?
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That鈥檚 absolutely right, so in the traditional
very simple version of beta and alpha it may
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look like these guys had generated alpha for
three or four years you'll be able to see
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that all the time.
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It's great.
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That鈥檚 what alpha is, but actually what
if it he is just a great quality fund manager
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for example, has a quality bias companies
that have good balance sheets, can grow their
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earnings consistently.
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He's just great at picking those sorts of
companies and it's that type of beta that
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risk factor which he is getting exposure to
that he is winning out.
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It might still be worth investing with him
if that鈥檚 going to continue.
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But it's those sort of questions that you
need to think about.
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Let's put that into practice then.
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One of the particular point in the market
cycle in the U.K. we've had a very good run
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from the credit crisis.
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But the last couple of years have been quite
sticky flat.
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In particular for large caps.
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So bearing what you've just said in mind.
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What sort of style bias which indeed is still
beta should people be going for at this point
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in the market cycle.
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Well, I use the example of quality a moment
ago and I think that鈥檚 something that we've
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seen consistently outperform for a number
of years.
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There is a lot of earnings uncertainty in
the world today.
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We think investors are going to continue to
pay up for feasible earnings those companies
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with a track record of growing their earnings,
earning stability some sort of reliability.
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So again we think those quality betas, those
growth betas are going to win out.
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Edward thank you very much.
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Pleasure.
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This is Emma Wall from Morningstar.
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Thank you for watching.
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