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Arbitrage pricing theory
T
Arbitrage pricing theory
(APT) holds that the expected return of a financial asset can be
modelled as a linear function of various macro-economic factors, where
sensitivity to changes in each factor is represented by a factor specific
beta coefficient. The model derived rate of return will then be used to
price the asset correctly - the asset price should equal the expected end of
period price
discounted at the rate implied by model. If the price diverges,
arbitrage should bring it back into line. The theory was initiated by
the economist Stephen Ross in 1976.
If APT holds, then a risky asset
can be described as satisfying the following relation:


where
·
E(rj)
is the risky asset's expected return,
·
RPk
is the risk premium of the factor,
·
rf
is the
risk free rate,
·
Fk
is the macroeconomic factor,
·
bjk
is the sensitivity of the asset to factor k,
also called factor loading,
·
and
εj is the risky asset's
idiosyncratic random shock with mean zero.
That is, the uncertain return of
an asset j is a
linear relationship among n factors.
Additionally, every factor is also considered to be a
random variable with
mean zero.
Note that there are some
assumptions and requirements that have to be fulfilled for the latter to be
correct: There must be perfect competition in the market, and the total
number of assets may never surpass the total number of factors (in order to
avoid the problem of matrix singularity), respectively.
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Arbitrage is the practice of taking advantage of a state of imbalance
between two (or possibly more) markets and thereby making a risk free
profit; see
Rational pricing.
The APT describes the mechanism
whereby arbitrage by investors will bring an asset which is mispriced,
according to the APT model, back into line with its expected price.
Note that under true arbitrage, the investor locks-in a guaranteed
payoff, whereas under APT arbitrage as described below, the investor
locks-in a positive expected payoff. The APT thus assumes "arbitrage
in expectations" - i.e that arbitrage by investors will bring asset prices
back into line with the returns expected by the model.
In the APT context, arbitrage
consists of trading in two assets – one which is mispriced and one which is
correctly priced. The arbitrageur sells the asset which is too expensive and
uses the proceeds to buy one which is correctly priced (or sells a correctly
priced asset and uses the proceeds to buy the asset which is too cheap).
Under the APT, an asset is
mispriced if its current price diverges from the price predicted by the
model. The asset price today, should equal the sum of all future cash flows
discounted at the APT rate, where the expected return of the asset is a
linear function of various macro-economic factors, and sensitivity to
changes in each factor is represented by a factor specific
beta coefficient.
The correctly priced asset here,
is, in fact, a synthetic asset - a portfolio consisting of
other correctly priced assets. This portfolio has the same exposure to each
of the macroeconomic factors as the mispriced asset. The arbitrageur creates
the portfolio by identifying x correctly priced assets (one per factor plus
one) and then weighting the assets such that portfolio beta per factor is
the same as for the mispriced asset.
When the investor is
long the asset and
short the portfolio (or vice versa) he has created a position which has
a positive expected return (the difference between asset return and
portfolio return) and which has a net-zero exposure to any macroeconomic
factor and is therefore risk free. The arbitrageur is thus in a position to
make a risk free profit:
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Where today's price is too low:
The implication is that at the
end of the period the portfolio would have appreciated at the rate
implied by the APT, whereas the mispriced asset would have appreciated at
more than this rate. The arbitrageur could therefore:
Today:
1
short sell the portfolio
2 buy the mispriced-asset with
the proceeds.
At the end of the period:
1 sell the mispriced asset
2 use the proceeds to buy back
the portfolio
3 pocket the difference.
Where today's price is too
high:
The implication is that at the
end of the period the portfolio would have appreciated at the rate
implied by the APT, whereas the mispriced asset would have appreciated at
less than this rate. The arbitrageur could therefore:
Today:
1
short sell the mispriced-asset
2 buy the portfolio with
the proceeds.
At the end of the period:
1 sell the portfolio
2 use the proceeds to buy back
the mispriced-asset
3 pocket the difference.
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The APT along with the
Capital asset pricing model (CAPM) is one of two influential theories on
asset pricing. The APT differs from the CAPM in that it is less restrictive
in its assumptions. It allows for an explanatory (as opposed to statistical)
model of asset returns. It assumes that each investor will hold a unique
portfolio with its own particular array of betas, as opposed to the
identical "market portfolio". In some ways, the CAPM can be considered a
"special case" of the APT in that the
Securities market line represents a single-factor model of the asset
price, where Beta is exposure to changes in value of the Market.
Additionally, the APT can be seen
as a "supply side" model, since its beta coefficients reflect the
sensitivity of the underlying asset to economic factors. Thus, factor shocks
would cause structural changes in the asset's expected return, or in the
case of stocks, in the firm's profitability.
On the other side, the
Capital asset pricing model is considered a "demand side" model. Its
results, although similar to those in the APT, arise from a maximization
problem of each investor's utility function, and from the resulting market
equilibrium (investors are considered to be the "consumers" of the assets).
Using the APT
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As with the CAPM, the
factor-specific Betas are found via a
linear regression of historical security returns on the factor in
question. Unlike the CAPM, the APT, however, does not itself reveal the
identity of its priced factors - the number and nature of these factors is
likely to change over time and between economies. As a result, this issue is
essentially
empirical in nature. Several
a priori guidelines as to the characteristics required of potential
factors are, however, suggested:
-
their impact on
asset prices manifests in their unexpected movements
-
they should
represent undiversifiable influences (these are, clearly, more
likely to be macroeconomic rather than firm specific in nature)
-
timeous and
accurate information on these variables is required
-
the relationship
should be theoretically justifiable on economic grounds
Chen, Roll and Ross identified
the following macro-economic factors as significant in explaining security
returns:
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-
Burmeister E and Wall KD., The
arbitrage pricing theory and macroeconomic factor measures, The Financial
Review, 21:1-20, 1986
-
Chen, N.F, and Ingersoll, E.,
Exact pricing in linear factor models with finitely many assets: A note,
Journal of Finance June 1983
-
Roll, Richard and Stephen Ross,
An empirical investigation of the arbitrage pricing theory, Journal of
Finance, Dec 1980,
-
Ross, Stephen, The arbitrage
theory of capital pricing, Journal of Economic Theory, v13, 1976
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source: "http://en.wikipedia.org/wiki/Arbitrage_pricing_theory
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