REVIEW JOURNAL
TITLE
: The Effect of Macroeconomic Variables on Stock
Prices in
Emerging Sri Lankan Stock Market
WRITER
: L.M.C.S. Menike
A. The
background and research purposes
The results indicate that most of the
companies report a higher R2 which justifies higher explanatory power of
macroeconomic variables in explaining stock prices. Consistent with similar
results of the developed as well as emerging market studies, inflation rate and
exchange rate react mainly negatively to stock prices in the Colombo Stock
Exchange (CSE).
The negative effect of Treasury bill
rate implies that whenever the interest rate on Treasury securities rise,
investors tend to switch out of stocks causing stock prices to fall. However,
lagged money supply variables do not appear to have a strong prediction of
movements of stock prices while stocks do not provide effective hedge against
inflation specially in Manufacturing, Trading and Diversified sectors in the
CSE. These findings hold practical implications for policy makers, stock market
regulators, investors and stock market analysts.
B. Method
This
study investigates the effect of macroeconomic variables on stock prices. number of researchers in various countries
have found significant relationships between macroeconomic variables and stock
prices. These studies concerned multi-factor models as well as single- factor
models which incorporate macroeconomic variables as explanatory factors of the
variation in equity returns. The following methodological approach is adopted
in this study for establishing the relationship between macroeconomic variables
and stock prices in the Emerging Sri Lankan Stock Market.
1.Data
The
empirical analysis is carried out by using monthly data. The sample period
spans from September 1991 to December 2002 and the study was carried out by
using 136 monthly observations.
2.
Sampel
Although
there are 242 stocks listed on the CSE, most stocks do not trade frequently. In
order to ensure a reasonable sample size, those stocks, which were traded at
least once a month during the sample period, have been included in the sample.
3.
Variabel
Avast amount of studies document that
significant relationships exist between macroeconomic variables and stock
returns. Further, multi-factor models have been developed as an explanation for
the variation in security returns and the extant literature suggests that a
wide range of factors explain security returns {Fama, 1981, Chen et al., 1986,
2005, Gjerde et al., 1999, and Bilson et al., 2001, Asprem (1989), Jenson et
al. (1996), Abdullah and Hayworth, Bulmash and Trivoli (1989), Hooker (2004),
Booth and Booth (1994), Wasserfallen (1989). Such variables include goods
price, money supply, real activity, exchange rates, interest rates, political
risks, oil prices, the trade sector, budget deficits, trade deficits, domestic
consumption, unemployment rate, imports and regional stock market indices and
real wage.
4.
Development of Hypotheses
This research observes the effects of
macroeconomic variables on stock prices in the emerging Sri Lankan Stock
Market. In order to achieve the objective of the study, the following
hypotheses are developed.
·
Hypothesis 1: Money Supply and Stock Prices
·
Hypothesis 2: Money Supply and Exchange Rate
·
Hypothesis 3: Inflation Rate, Interest Rate, and Exchange Rate.
·
Hypothesis 4: Money Supply, Exchange Rate, Inflation Rate and Interest
Rate
·
Hypothesis 5: Money Supply, Exchange Rate, Inflation Rate, Interest Rate,
Lagged Money Supply and Lagged Inflation Rate.
5.
The model
This
study examines the effect of macroeconomic variables on stock prices in selected
companies in the CSE. Numerous researchers have developed multifactor models
relating to a number of macroeconomic
variabel.
multifactor
models relating to a number of macroeconomic variables
C. The
results of research and discussions
·
Overall Results
This
section presents the main results of regression on monthly data for the period
from September 1991 to December 2002. The impact of macroeconomic variables on
stock prices is estimated using four concurrent macroeconomic variables and
four lagged variables taken together by employing a multiple regression model.
·
Empirical findings - sector wise
The
empirical evidence is found that current money supply reacts mainly ositively
to stock prices except DFCC while the current exchange rate impacts predominantly
negatively to stock prices in the Banking Sector, rejecting the null hypothesis
at 5% level. The explanatory power of variables in explaining stock prices is
more than 50%.
D. Conclusion
The stock prices mainly appear to have
an inverse relation to exchange rate, concurrent inflation rate and Treasury
Bill rate in the CSE. Consistent with the theory which indicates a direct
relation, money supply is mainly positively related to stock prices. This
result supports the findings of Bilson et al. (2001), Lynge (1981) and Roley
(1982). Chen et al. (2005), Bulmash and Trivoli (1991) and Barrows and Naka
(1994) that find a positive relation between money supply and stock returns.
Rozeff (1984), Campbell (1987), Kaul (1987) and Booth and Booth (1997),
confirmed the theory that an expansionary monetary policy increases stock
returns. The most significant variable-the exchange rate- is mainly negative to
stock prices supporting the findings of Solnik (1987) and Soenen & Hernigar
(1988) and Bilson et al. (2001).
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