In: Finance
Describe an Arbitrage Pricing Theory (APT) model of your choice. How this model compares to the Capital Asset Pricing Model (CAPM)?
ii) Support your answers with empirical evidence on how well models you discussed in part (i) can explain variability of returns
The Arbitrage Pricing Theory (APT) is a theory of asset pricing that holds that an asset's returns. The APT offers analysts and investors a multi-factor pricing model for securities, based on the relationship between a financial asset's expected return and its risks.
As per assumptions under Arbitrage Pricing Theory, return on an asset is dependent on various macroeconomic factors like inflation, exchange rates, market indices, production measures, market sentiments, changes in interest rates, movement of yield curves etc.
Arbitrage pricing theory (APT) is an alternative to the capital asset pricing model (CAPM) for explaining returns of assets or portfolios. It was developed by economist Stephen Ross in the 1970s. Over the years, arbitrage pricing theory has grown in popularity for its relatively simpler assumptions
model compares to the Capital Asset Pricing Model (CAPM)
A big difference between CAPM and the arbitrage pricing theory is that APT does not spell out specific risk factors or even the number of factors involved. While CAPM uses the expected market return in its formula, APT uses the expected rate of return and the risk premium of a number of macroeconomic factors.
n 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 exposed to changes in value of the market. A disadvantage of APT is that the selection and the number of factors to use in the model is ambiguous.
APT in comparison to CAPM uses fewer assumptions and can be harder to use as well. ... While CAPM uses the expected market return in its formula, APT uses the expected rate of return and the risk premium of a number of macroeconomic factors.
The CAPM assumes that there is a linear relationship
between the assets, whereas the APT assumes that there is a linear
relationship between risk factors. This means that where there no
linear relationship exists, the models are unable to adequately
predict outcomes.
However, both the CAPM and the APT make relatively unrealistic
assumptions in that assets are freely available and desirable,
there are no costs incurred in the acquisition of assets and that
all investors tend to think alike and come to the same conclusions.
This seems intuitively contradictory, as the most successful
investors are likely to be those who are able to spot potential
which has remained unnoticed by the market as a whole. Indeed, when
all investors do think alike, a ‘bubble’ can be created which
inflates the asset price and downplays the risks inherent in the
asset (Blanchard & Watson, 1982). In this circumstance,
assessing the risk of an asset based on the mood of the market is
likely to be far more risky than can be predicted by either the
CAPM or the APT. Theoretically, therefore, it could be argued that
using a CAPM or APT analysis is likely to increase the propensity
for ‘bubbles’ to emerge, as they are using static predictions of
behaviour by investors.
This is compounded by the subjective decisions made by analysts
creating risk projections (e.g. Levy, 2012): although it may be
professionally desirable for analysts to consider levels of risk in
a rational and objective fashion, it is unlikely that they have no
preferences or particular areas of expertise – or areas where they
lack knowledge – and this will impact on the validity of the
results of mathematical projections. That is, the calculation is
only as good as the analyst who is choosing the factors to be
included in it.
Therefore, although the CAPM and APT are useful as rule-of-thumb
heuristics of the market as it currently operates, they are both
static models which use a limited number of factors (Krause, 2001)
to predict risk in a highly complex market. Although they are based
on mathematical principles, they are subjective in that the analyst
performing the calculation has the freedom to decide which factors
are relevant in each particular case.
APT in comparison to CAPM uses fewer assumptions and can be harder to use as well. While CAPM uses the expected market return in its formula, APT uses the expected rate of return and the risk premium of a number of macroeconomic factors.
variability of returns
Variability refers to the divergence of data from its mean value, and is commonly used in the statistical and financial sectors. Variability is used to standardize the returns obtained on an investment and provides a point of comparison for additional analysis.