| Behind
the boom
The
risks of emerging markets.
By Christian
T. Lundblad, assistant professor of finance at the Kenan-Flagler
School of Business, University of North Carolina in Chapel Hill,
NC
From
2003 to 2006, emerging equity markets exhibited rates of appreciation
not seen since the days before the East Asian and Russian crises
of the late 1990s. Over these four years, emerging markets returned
33% per annum, on average, rapidly outpacing other developed markets.
Some individual markets grew at phenomenal rates. The Shanghai Composite
Index, for example, appreciated 130% in 2006. By comparison, the
U.S. S&P 500 and the MSCI EAFE indices returned 14% and 23%
per annum, respectively, over this period. Not surprisingly, emerging
markets have generated considerable attention of late.
Large
historical average returns are a well-documented feature of emerging
market equities. However, emerging market returns are also well
known for large standard deviations (see Harvey (1995)). Table 1
provides annualized average returns (in U.S. dollars) and standard
deviations for a collection of emerging markets over the period
1993-2006 based on indices provided in Standard & Poor’s
Emerging Market Database. To the extent that volatility embodies
risk, these markets are indeed quite risky, and the recent uniform
appreciation is not representative of their historical experience.
Tremendous swings are realized with unfortunate frequency in emerging
markets, and the extreme movements in China and Thailand are recent
examples of pronounced volatility.
During
periods of rapid asset appreciation, one ignores relevant long-run
risks at one’s own peril. So, what are the risks? Foreign
investors in emerging markets certainly face significant currency
risk as emerging market currencies are typically quite volatile.
Also, the academic literature has identified a number of characteristics
that may be associated with countryspecific risk in the determination
of the cost of capital across countries. For example, Erb, Harvey,
and Viskanta (1996) highlight the importance of sovereign (political)
risk. La Porta et al. (1998) emphasize the importance of investor
protection and, more generally, the quality of institutions and
the legal environment. Bhattacharya and Daouk (2002) document the
effects of the enactment of insider trading laws and the first prosecution
under these laws. Additionally, Hail and Leuz (2006) demonstrate
that any perceived risks associated with lax accounting standards
or the opacity of corporate records also affect a country’s
cost of capital. These are just a few examples of a rapidly growing
literature on the interplay between institutional quality, finance,
and economic development. Corruption, impediments to law and order,
accounting opacity, poor corporate governance, sovereign credit
concerns, and political risks are all examples of factors that investors
traditionally weigh heavily. In fairness, developing countries have
made significant progress, and the underlying economies in which
these markets reside have perhaps never looked better. Still, these
risks loom large, and should be given due consideration since emerging
markets still score poorly along a number of these dimensions despite
their recent progress.
Among the risks emerging market investors face, local equity market
illiquidity and large transaction costs are paramount. Emerging
market equities are very expensive to trade, and the markets are
relatively thin. Poor liquidity was mentioned in a 1992 survey by
Chuhan as one of the main reasons that prevented foreign institutional
investors from investing in emerging markets. Liquidity is notoriously
difficult to measure (or even precisely define) even for developed
markets, but Table 1 presents two commonly used measures of transaction
costs/liquidity that are available for these markets. First, bid-ask
spreads, among the most common measures of transaction costs, are
very large as reported in Lesmond (2005). Bid-ask spread data are
unfortunately quite limited in terms of firm coverage and across
time, but the figures that we do have are indicative of the rather
expensive trading environment. The average spread exceeds 4.5%,
dwarfing comparable spreads observed in the U.S. This is a full
sample average and spreads in emerging markets have indeed fallen
in more recent years. However, it is still quite common to pay well
over 100 basis points for a one-way trade in many of these markets.
Second,
emerging markets are thin. Following Lesmond, Ogden, and Trzcinka
(1999), Lesmond (2005), and Bekaert, Harvey and Lundblad (2007),
Table 2 provides the proportion of zero daily returns (ZR) observed
for each equity market. For each country, we calculate the equal
and capitalization weighted proportions of zero daily returns across
all firms. The proportion of days for which a firm in these markets
does not trade (an observed zero return) is remarkably high. An
equal (value) weighted average of the percentage of zero return
days across the entire sample of countries and time is 44% (28%),
suggesting that almost half (a third) of the time the average (largest)
emerging market firm does not trade over a given day. The markets
in Colombia, Peru, and Zimbabwe exhibit a nearly 50% incidence of
zero daily returns across their largest domestically listed firms.
The smallest incidence of zero daily returns is in the markets in
China, South Korea, and Taiwan. As with bid-ask spreads, the incidence
of zero returns has indeed fallen somewhat in more recent years;
however, the phenomenon is still quite common, particularly in contrast
to a developed equity market like the NYSE, where only the smallest
capitalization stocks fail to trade over a full day. Following Bekaert,
Harvey, and Lundblad (2007), we employ this measure going forward
in our analysis of liquidity risk as the incidence of zero returns
requires only daily price data which are available over the entire
data sample. Define the liquidity measure used in the remainder
of the article as Li,t = 1n(1-ZRi,t),
with ZRi,t the value-weighted zero return
measure for country i in month t. Also, define ri,t,
the value weighted return on country index i (measured in dollars).
Case Study: Liquidity Risk
Assets with significant transaction costs trade at a discount relative
to their expected cash flows. Following Amihud and Mendelson (1986),
transaction costs drive a wedge between gross and net returns:

If emerging markets are expensive, real portfolio gains will likely
be significantly different from paper portfolio returns. Aside from
the simple gross-to-net adjustment that arises in the presence of
transaction costs, recent evidence (based primarily on U.S. data,
e.g., Amihud (2002), Pastor and Stambaugh (2003); Acharya and Pedersen
(2006)) points to an alternative channel that facilitates compensation
for systematic liquidity risk, that is, co-movement between equity
returns and liquidity:

In this type of model, co-movement between returns and liquidity,
measured by ,
requires additional compensation. This risk is relevant as investors
might prefer to avoid assets that typically depreciate precisely
when the market depth for that asset erodes. Practitioners call
extreme versions of this phenomenon “liquidity black holes”
(see Persaud (2003)).
If risk premia reflect compensation for expected market illiquidity
and illiquidity is persistent, measures of liquidity should predict
returns with a negative sign. Moreover, unexpected changes to market
liquidity should be contemporaneously correlated with unexpected
stock returns because a shock to liquidity raises expected liquidity,
which in turn lowers expected returns, and hence raises prices.
Amihud (2002) formulates these hypotheses and finds support for
them in U.S. data. In this example, we estimate a simple form of
the Amihud hypothesis (broadly consistent with the pricing model
suggested above):

where er,t and eL,t
represent the unexpected shocks to returns and liquidity. Expected
returns, Et[rt+1], are
determined by the lagged liquidity level, Lt,
and return, rt. The component of the realized
return that is unrelated to the expected return is the unexpected
shock, r,t.
Under the Amihud hypothesis, (1) 1
should be negative (i.e., expected returns are lower when the market
is more liquid), and (2) the contemporaneous correlation between
return and liquidity shocks should be positive (i.e., capital losses
are associated with a deteriorating liquidity environment, on average).1
Bekaert, Harvey, and Lundblad (2007) carefully explore these effects
in a more complicated econometric environment. Here, an illustrative
panel regression is performed, where market returns are stacked
across countries and time and projected onto the lagged local market
liquidity and return, constraining the predictive coefficients,
1
and 2,
to be identical across countries. Further, country fixed effects
are employed, meaning 0,r
is country-specific. Last, the standard errors for each coefficient
reflect country-specific heteroskedasticity and cross-country correlation
(SUR effects). These fairly standard panel estimation techniques
are discussed in more detail in Bekaert, Harvey, and Lundblad (2007).
Table 2 provides estimates of these effects across a set of 22 countries,
updating the data relative to Bekaert, Harvey, and Lundblad (2007)
to include additional years (1993-2006) and country coverage. The
estimate of 1
is negative and statistically significant at the 5% level, suggesting
that equity market liquidity is an important predictor of local
equity market returns. Economically, this estimate implies that
a reduction in the incidence of zero returns from 50% to 20%, a
reasonable comparison of the least and most liquid emerging markets
in our sample, would be associated with a reduction in the cost
of capital by about 900 basis points in annualized terms. Local
market returns, on average, also display some autocorrelation as
2
is positive and significant; return autocorrelation is a small,
but not insignificant 0.06, on average. Liquidity itself is fairly
persistent, with an average autocorrelation, 3,
of 0.75, but past returns do not seem to significantly predict future
liquidity, 4. Further, return and liquidity
shocks are positively correlated, consistent with the notion that
prices and liquidity move together. These two observations confirm
the Amihud hypothesis for emerging markets; local market liquidity
is priced. This is important as it suggests that emerging market
investors need not only consider the simple gross-to-net adjustment
associated with the large emerging equity market participation costs,
but that co-variation between market prices and liquidity is something
that may require additional risk compensation.
At a more nuanced level, Bekaert, Harvey, and Lundblad (2007) also
facilitate in their estimates of the return-liquidity dynamic the
significant regulatory shifts these markets have pursued to allow
foreign investor access to local trading. To the extent foreign
access alters the degree of segmentation/integration of these markets,
the relation between local equity pricing and liquidity may also
be altered. Indeed these authors find that the return-liquidity
predictability and shock co-movement coefficients are reduced for
equity markets that permit greater levels of foreign investor access.
That is, local liquidity risks diminish somewhat when markets liberalize.
In sum, emerging equity markets are illiquid and costly, but they
also display variation in the trading environment that may make
investors uncomfortable. The risk that the market depth may erode
precisely when an investor’s asset is depreciating may require
an additional premium. Despite improvements in trading costs and
market depth, emerging markets are still quite illiquid, and the
variation in the depth of the trading environment is significant.
For this reason alone, it is not unreasonable to expect emerging
markets to be priced at a relative discount to their expected cash
flows.

Emerging Market Risks Today
Empirically, it is not uncommon for emerging markets to in fact
be priced at a discount, where local priceearnings (PE) ratios are
lower than those implied by global equity markets for comparable
industries. Figure 1 presents a cross-country average of an industry-adjusted
valuation discount for emerging markets from 1981 to 2006. Emerging
markets are indeed priced at a discount, around 30% on average,
relative to global equity markets for almost the entire period,
with a few exceptions. There are instances where the average emerging
market discount approaches 100%, suggesting a large valuation differential
relative to global developed equity markets. Bekaert, Harvey, Lundblad,
and Siegel (2007) document evidence that the emerging market discount
is statistically associated with many of the risk factors mentioned
above; the association between PE discounts and market illiquidity
is particularly pronounced.
It is also interesting to note that the emerging market discount
is essentially zero at the end of the sample, meaning that emerging
markets are, on average, priced at par with their developed market
counterparts on an industry-adjusted basis. The vanishing valuation
differentials are directly associated with the rapid rate of appreciation
observed over the past several years for these markets mentioned
above. Since it is relatively uncommon to witness valuation parity
across emerging markets, this observation should give investors
pause about these valuations going forward. To be clear, an elevated
valuation may be a rational reflection of the immensely improved
economic situation across the developing world. However, given the
importance of the various risks mentioned above—risks that
are at least relatively muted in industrialized economies—investors’
expectations about the growth opportunities available to emerging
market firms must be exceptionally large to overcome any concerns
about risks. In the last ten or fifteen years, developing countries
have made tremendous strides in the areas of foreign investor access,
corporate governance, local market liquidity and transparency, etc.,
but they are still quite removed from traditional equity markets
and the risk of significant reversals is by no means irrelevant—recent
developments in Russia and Venezuela are dramatic examples.
The developing countries that house the world’s emerging equity
markets are the engines of world economic growth. These economies
will comprise 40% to 50% of world economic output in decades to
come. Accordingly, the neutral allocation to emerging market firms
among a passive investor’s total equity allocation may very
well indeed be half; this reality is something with which all investors
must become comfortable. However, serious risks persist, among which
local market illiquidity is an important example. The debate over
current valuations aside, the management of emerging market risk
is and will be an important challenge for the foreseeable future.
Endnotes
1. There is a large literature on statistical inference
problems with respect to establishing return predictability, such
as in Stambaugh (1999) and Hodrick (1992).
References
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with Liquidity Risk, Journal of Financial Economics, 77,
375-410.
Amihud, Y., 2002, Illiquidity and Stock Returns: Cross Section and
Time Series Effects, Journal of Financial Markets, 5, 2002,
31-56.
Amihud, Y., and H. Mendelson, 1986, Asset Pricing and the Bid-Ask
Spread, Journal of Financial Economics, 17, 223-249.
Bekaert, G., C. R. Harvey, and C. Lundblad, 2007, Liquidity and
Expected Returns: Lessons from Emerging Markets, Review of Financial
Studies, forthcoming.
Bekaert, G., C. R. Harvey, C. Lundblad, and S. Siegel, 2007, What
Segments Equity Markets?, working paper, Duke University.
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