Tài liệu miễn phí Đầu tư Chứng khoán
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The relationship between macroeconomic variables and stock market returns
is, by now, well-documented in the literature. However, a void in the literature
relates to examining the cointegration between macroeconomic variables and
stock market’s sector indices rather than the composite index. Thus in this
paper we examine the long-term equilibrium relationships between selected
macroeconomic variables and the Singapore stock market index (STI), as well
as with various Singapore Exchange Sector indices—the finance index, the
property index, and the hotel index. The study concludes that the Singapore’s
stock market and the property index form cointegrating relationship with
changes in the short...
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An efficient capital market is one in which security prices adjust rapidly to
the arrival of new information and, therefore, the current prices of securities
reflect all information about the security. What this means, in simple terms,
is that no investor should be able to employ readily available information
in order to predict stock price movements quickly enough so as to make a
profit through trading shares.
Championed by Fama (1970), the efficient market hypothesis (EMH), in
particular semi-strong form efficiency, which states that stock prices must
contain all relevant information including publicly available information,
has important implications...
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Policy makers, for example, should feel free to conduct national
macroeconomic policies without the fear of influencing capital formation
and the stock trade process. Moreover, economic theory suggests that stock
prices should reflect expectations about future corporate performance, and
corporate profits generally reflect the level of economic activities. If stock
prices accurately reflect the underlying fundamentals, then the stock prices
should be employed as leading indicators of future economic activities,
and not the other way around. Therefore, the causal relations and dynamic
interactions among macroeconomic variables and stock prices are important
in the formulation of the nation’s macroeconomic policy....
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As for the effect of macroeconomic variables such as money supply and
interest rate on stock prices, the efficient market hypothesis suggests that
competition among the profit-maximizing investors in an efficient market
will ensure that all the relevant information currently known about changes
in macroeconomic variables are fully reflected in current stock prices, so
that investors will not be able to earn abnormal profit through prediction of
the future stock market movements (Chong and Koh 2003).
Therefore, since investment advisors would not be able to help investors
earn above-average returns consistently, except through access to and
employing insider information,...
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More recently, Granger (1986) and Johansen and Juselius (1990) proposed
to determine the existence of long-term equilibrium among selected variables
through cointegration analysis, paving the way for a (by now) preferred
approach to examining the economic variables-stock markets relationship.
A set of time-series variables are cointegrated if they are integrated of the
same order and a linear combination of them is stationary. Such linear
combinations would then point to the existence of a long-term relationship
between the variables. An advantage of cointegration analysis is that through
building an error-correction model (ECM), the dynamic co-movement among
variables and the...
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Employing this methodology, there has been a growing literature showing
strong influence of macroeconomic variables and stock markets, mostly for
industrialized countries (see, for example, Hondroyiannis and Papapetrou,
2001; Muradoglu et al. 2001; Fifield et al. 2000; Lovatt and Ashok 2000;
and Nasseh and Strauss 2000). Additionally, researchers have begun to turn
their attention to examining similar relationships in developing countries,
particularly those in the growth engines of Asia (for example, Maysami and
Sims 2002, Maysami and Koh 2000).
The majority, if not all, of such studies have examined the influence of
the macroeconomic variables on the...
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Emerging stock markets have been identified as being at least partially
segmented from global capital markets. As a consequence, it has been argued
that local risk factors rather than world risk factors are the primary source
of equity return variation in these markets. Accordingly, Bilson, Brailsford,
and Hooper (1999) aimed to address the question of whether macroeconomic
variables may proxy for local risk sources. They found moderate evidence
to support this hypothesis.
Further, they investigated the degree of commonality in exposures across
emerging stock market returns using a principal components approach, and
found little evidence of commonality when emerging...
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Maysami and Sims (2002, 2001a, 2001b) employed the Error-Correction
Modelling technique to examine the relationship between macroeconomic
variables and stock returns in Hong Kong and Singapore (Maysami and Sim,
2002b), Malaysia and Thailand (Maysami and Sim 2001a), and Japan and
Korea (Maysami and Sim 2001b).
Through the employment of Hendry’s (1986) approach which allows
making inferences to the short-run relationship between macroeconomic
variables as well as the long-run adjustment to equilibrium, they analysed
the influence of interest rate, inflation, money supply, exchange rate and real
activity, along with a dummy variable to capture the impact of the 1997...
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Chong and Koh’s (2003) results were similar: they showed that stock
prices, economic activities, real interest rates and real money balances in
Malaysia were linked in the long run both in the pre- and post capital control
sub periods.
Mukherjee and Naka (1995) applied Johansen’s (1998) VECM to analyze
the relationship between the Japanese Stock Market and exchange rate,
inflation, money supply, real economic activity, long-term government bond
rate, and call money rate. They concluded that a cointegrating relation indeed
existed and that stock prices contributed to this relation. Maysami and Koh
(2000) examined such relationships in Singapore. They...
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Islam and Watanapalachaikul (2003) showed a strong, significant long-run
relationship between stock prices and macroeconomic factors (interest rate,
bonds price, foreign exchange rate, price-earning ratio, market capitalization,
and consumer price index) during 1992-2001 in Thailand.
Hassan (2003) employed Johansen’s (1988, 1991, 1992b) and Johansen
and Juselius’ (1990) multivariate cointegration techniques to test for the
existence of long-term relationships between share prices in the Persian
Gulf region. Using a vector-error-correction model, he also investigated the
short-term dynamics of prices by testing for the existence and direction of
intertemporal Granger-causality. ...
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The analysis of weekly price indices in Kuwait, Bahrain, and Oman
stock markets showed that: (1) share prices were cointegrated with one
cointegrating vector and two common stochastic trends driving the series,
which indicates the existence of a stable, long-term equilibrium relationship
between them; and (2) prices were not affected by short-term changes but
were moving along the trend values of each other. Therefore, information
on the price levels would be helpful for predicting their changes.
Omran (2003) focused on examining the impact of real interest rates as
a key factor in the performance of the Egyptian stock market,...
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Beyond TMT, we find no systematic increase in the importance of industry effects.
Instead, we observe that the ratio of industry to country effects follows a U-shape pattern
from the mid-1980s to the late-1990s, a cyclical pattern whereby global industry effects
become temporarily more important in relative and absolute terms around periods of stock
market distress, such as October 1987 and March 2000. We view this cyclical pattern as
further evidence that the recent increase in industry effects is temporary....
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Maghyereh (2002) investigated the long-run relationship between the
Jordanian stock prices and selected macroeconomic variables, again by using
Johansen’s (1988) cointegration analysis and monthly time series data for
the period from January 1987 to December 2000. The study showed that
macroeconomic variables were reflected in stock prices in the Jordanian
capital market.
Gunasekarage, Pisedtasalasai and Power (2004) examined the influence of
macroeconomic
variables on stock market equity values
in Sri Lanka, using
the Colombo All Share price index to represent the stock market and (1) the
money
supply, (2) the treasury bill rate (as a
measure of interest rates),...
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The results of studies by Fama and Schwert (1977), Chen, Roll and Ross
(1986), Nelson (1976) and Jaffe and Mandelker (1976) pointed to a negative
relation between inflation and stock prices. We hypothesize similarly: an
increase in the rate of inflation is likely to lead to economic tightening
policies, which in turn increases the nominal risk-free rate and hence raises
the discount rate in the valuation model (equation 1).
The effect of a higher discount rate would not necessarily be neutralized
by an increase in cash flows resulting from inflation, primarily because cash
flows do not generally grow at...
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Over the last twenty years, the field of behavioral finance has grown from a
startup operation into a mature enterprise, with well-developed bodies of both theory and
empirical evidence. On the empirical side, the benchmark null hypothesis is that one
should not be able to forecast a stock’s return with anything other than measures of its
riskiness, such as its beta; this hypothesis embodies the familiar idea that any other form
of predictability would represent a profitable trading rule and hence a free lunch to
investors. Yet in a striking rejection of this null, a large catalog...
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We show that the main testable implication of the buffer stock model is that the
covariance between the wealth gap (the difference between actual and target wealth)
and consumption is (strongly) positive. Although we focus on Carroll’s version of
the buffer stock model, the test applies equally well to Deaton’s case. In Carroll,
buffer stock behavior emerges from the tension between impatience, prudence, and the
chance of zero earnings. Impatient individuals would like to anticipate consumption,
but the chance of zero future earnings generates a demand for wealth. In Deaton, the
tension is between impatience, prudence, and liquidity constraints, but the insights
are similar, and buffer stock behavior...
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Realistic versions of the buffer stock model with finite horizons and declining in-
come after retirement limit considerably the age-range of buffer stock behavior. Car-
roll (1997) shows that buffer stock behavior emerges until roughly age 50, and that
afterwards people start to accumulate wealth steadily to prepare for retirement. Other
models of intertemporal choice deliver different predictions about the correlation be-
tween income and consumption and the age-wealth profile during the life-cycle. In the
standard life-cycle model without uncertainty, the individual wealth-income ratio is
not stationary because consumers save each year until retirement. Hubbard, Skinner
and Zeldes (1995) use numerical methods to analyze the properties of a...
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Motivated by these issues, we study the comovements between the returns
on country-industry portfolios and country-style portfolios for 23 countries, 26
industries, and nine styles during 1980–2005. During this period, markets are
likely to have become more integrated at the world level through increased
capital and trade integration. Also, a number of regional developments have
likely integrated stockmarkets at a regional level. These developments include
the North American Free Trade Agreement (NAFTA), the emergence of the
euro, and increasing economic and financial integration within the European
Union. To test whether these developments have led to permanent changes in
stock return comovements, we rely on the trend tests of Vogelsang...
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The analysis of the factor models is interesting in its own right. Surpris-
ingly,much of the literature on international stock return comovement imposes
strong restrictions of constant, unit betas with respect to a large number of
country and industry factors, as in the Heston and Rouwenhorst (1994) model.
We contrast the predictions of these models for stock return comovements with
our risk-based models. While f lexibility in the modeling of betas is essential
in a framework where the degree of market integration is changing over time,
thismay not suffice to capture the underlying structural changes in the various
markets. Therefore, in addition to standard models of risk like...
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Our first new result is that risk-based models fit the stock return comove-
ments between our portfoliosmuch better than theHeston–Rouwenhorstmodel
does. In particular, the APT and a Fama–French (1998) type model with global
and regional factors fit the data particularly well. Second, in examining time
trends in country return correlations, we find a significant upward trend for
stock return correlations only within Europe. Third, we revisit the country-
industry debate by examining the relative evolution of correlations across coun-
try portfolio returns versus correlations across industry portfolio returns.While
industry correlations seem to have decreased in relative terms over the 1990s,
this evolution has been halted and reversed, and there...
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The results above have several important implications for the international
finance and diversification literature. First, while our analysis of interna-
tional stock return comovements reveals significant weaknesses of theHeston–
Rouwenhorst model, when viewed as a factor model, we also show that the
Heston–Rouwenhorst empirical results regarding the primacy of country fac-
tors stand the test of time. Second, all of our results confirm that there still ap-
pear to be benefits from international diversification: For many country groups
we do not find that significant trends in correlations and country factors still
dominate industry factors. Yet, we do see the effects of globalization as well.
The correlation trends would suggest...
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We study weekly portfolio returns from 23 developed markets. We choose to
study returns at a weekly frequency to avoid the problems caused by nonsyn-
chronous trading around the world at higher frequencies. All returns are U.S.
dollar denominated, and we calculate excess returns by subtracting the U.S.
weekly T-bill rate, which is obtained from the Center for Research in Security
Prices (CRSP) riskfree file.
1 Our selection of developed countries matches the
countries currently in the Morgan Stanley Developed Country Index. Data for
the United States are from Compustat and CRSP. Data for the other countries
are from DataStream. The sample period is 1980:01–2005:12, yielding 1,357
weekly observations....
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Our basic assets are value-weighted country-industry and country-style port-
folio returns. For the country-industry portfolios, we first need a uniformindus-
try classification. DataStream provides FTSE industry identifications for each
firm,while theU.S. industry identification in CRSP is fromStandard Industrial
Classification (SIC).We group the 30 SIC industries and the 40 level-4 FTSE in-
dustry classifications into a smaller number of industries that approaches the
number of countries in our sample, resulting in 26 industries. An additional
table (available at the Journal of Finance’s website: www.afajof.org.) shows
the reconciliation between the SIC and the FTSE systems. To form country-
industry portfolios, we group firms within each country into these 26 indus-
try groups...
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A preliminary investigation of the raw data reveals that in the 1998–2002
period, a few country portfolios (and the world portfolio) exhibit very high
volatility. In particular, the TMT industries (information technology, media,
and telecommunication) witnessed a tremendous increase in volatility during
that period, as Brooks and Del Negro (2004) document. This increase in volatil-
ity is also noticeable for the style portfolios, especially for the small firms. In the
last few years of the sample, volatility returns to more normal levels, similar
to the volatility levels witnessed in the early part of the sample....
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We define a factor to be global if it is constructed from the global capital mar-
ket, and we define a factor to be regional if it is constructed only from the rele-
vant regional market. In this paper, we consider three regions: North America,
Europe, and the Far East. Many articles (see for instance, Bekaert and Harvey
(1995) and Baele (2005)) have noted that the market integration process may
not proceed smoothly. Therefore, maximum f lexibility in the model with regard
to the importance of global versus regional factors is necessary. This general
model allows time-varying exposures to global and regional factors, potentially
capturing full or partial...
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This paper employs a novel mood variable, international soccer results, to investigate the effect
of investor sentiment on asset prices. Using a cross-section of 39 countries, we find that losses
in soccer matches have an economically and statistically significant negative effect on the losing
country’s stock market. For example, elimination from a major international soccer tournament
is associated with a next-day return on the national stock market index that is 38 basis points
lower than average. We also document a loss effect after international cricket, rugby, and basket-
ball games. On average, the effect is smaller in magnitude for these other sports than for soccer,
but is...
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Controlling for the pre-game expected
outcome, we are able to reject the hypothesis that the loss effect after soccer games is driven
by economic factors such as reduced productivity or lost revenues. We also document that the
effect is stronger in small stocks, which other studies find are disproportionately held by local
investors and more strongly affected by sentiment. Overall, our interpretation of the evidence
is that the loss effect is caused by a change in investor mood.
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Our study is part of a recent literature that investigates the asset pricing impact of behavioral
biases documented in psychology research. This literature, which has expanded significantly over
the last decade, is comprehensively reviewed by Hirshleifer (2001) and Shiller (2000). The strand
of the literature closest to this paper investigates the effect of investor mood on asset prices.
The two principal approaches in this work link returns either to a single event or to a continuous
variable that impacts mood. ...
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Our main contribution is to study a variable, international soccer results, that has particu-
larly attractive properties as a measure of mood. While extensive psychological evidence, which
we review below, shows that sports in general have a significant effect on mood, TV viewing
figures, media coverage, and merchandise sales suggest that soccer in particular is of “national
interest” in many of the countries we study.
1 It is hard to imagine other regular events that
produce such substantial and correlated mood swings in a large proportion of a country’s pop-
ulation. These characteristics provide strong a priori motivation for using game outcomes to
capture mood changes among investors....
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The large loss effect that we report reinforces the findings of Kamstra, Kramer, and Levi
(2000), who document a stock market effect of similar magnitude in response to the daylight
saving clock change. While Pinegar (2002) argues that the “daylight saving anomaly” is sensitive
to outliers, our effect remains economically and statistically significant even after removing
outliers in the data and applying a number of robustness checks. Another contribution of this
paper is that we are able to go a long way towards addressing the main disadvantage of the event
approach. Our sample of soccer matches exceeds 1,100 observations, and exhibits significant
cross-sectional variation across nations. In...
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