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STOCK PRICES AND MONETARY POLICY:
EVIDENCE FROM MALAYSIA CASE
Chin Nyuk Fui
Bachelor of Finance with Honours
2011
UN
IVE
RS
IT
IMALAYSIA
SA
RA
WA
K
U N I M AS
Faculty of Economics and Business
STOCK PRICES AND MONETARY POLICY: EVIDENCE FROM MALAYSIA.
CHIN NYUK FUI
THIS PROJECT IS SUBMITTED IN PARTIAL FULFILLMENT OF THE
REQUIREMENT FOR THE DEGREE OF BACHELOR OF FINANCE WITH
HONOURS
Faculty of Economics and Business
UNIVERSITI MALAYSIA SARWAK
2011
Statement of Originality
The work described in this Final Year Project, entitled
“STOCK PRICES AND MONETARY POLICY: EVIDENCE FROM MALAYSIA”
is to the best of the author’s knowledge that of the author except
where due reference is made.
Date submitted Student’s signature
Chin Nyuk Fui
20798
ABSTRACT
STOCK PRICES AND MONETARY POLICY: EVIDENCE FROM MALAYSIA.
By
Chin Nyuk Fui
Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia.
Studies to determine the relationship between stock prices and monetary policy have long
been pursued, however as Tobin (1969), Blanchard (1981) and Shah (1984) mentioned, there
are still no any empirical study illustrated the best on how the interaction between the
monetary policy and stock market as well as little effort has been place in identify the
relation of these variables for emerging market especially Malaysia compare to the advanced
market. This study explores empirically the integration between Malaysian stock prices and
monetary policy in post-crisis as well as linkage with other macroeconomic variables. The
study uses the Autoregressive Distributed Lag Model (ARDL), Variance Decomposition
(VDCs) and Impulse Response Function (IRFs). The study finds that the stock prices and
monetary policy has a bidirectional relation in short-run and long-run as consistent with
Bjornland and Leitemo (2008). Moreover, the macroeconomics variables display a
cointegration with stock prices and monetary policy. Astonishingly, Malaysian stock prices
also have significant interaction with the federal fund rate. To the certain extent the market is
informational inefficient, these findings make obvious evidence that are contradictory with
Efficient Market Hypothesis (EMH).
Key Words: Stock prices, monetary policy, macroeconomic variables, ARDL.
JEL classification numbers: E61, E52, E43
ABSTRAK
HARGA SAHAM DAN DASAR KEWANGAN: KES DARI MALAYSIA
Oleh
Chin Nyuk Fui
Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia.
Kajian untuk menentukan hubungan antara harga saham dan dasar kewangan telah
lama dikaji, namun, Tobin (1969), Blanchard (1981) dan Shah (1984) mengatakan bahawa
kajian tentang interaksi antara harga saham dan dasar kewangan masih terhad terutamanya
di negara sedang membangun berbanding dengan negara maju. Kajian ini bertujuan untuk
mengkaji hubungan antara harga saham dan dasar kewangan serta hubungan dengan
beberapa pembolehubah makroekonomi di Malaysia selepas krisis kewangan di Asia.
Kajian ini menggunakan kaedah ARDL, Penguraian Varian (VDCs) dan Fungsi Tindak
Balas (IRFs). Selari dengan Bjornland dan Leitemo (2008), kajian ini mendapati bahawa
harga saham dan dasar kewangan mempunyai hubungan dua hala dalam jangka masa
pendek dan jangka panjang Pembolehubah makroekonomi di Malaysia juga menunjukkan
integrasi dengan harga saham dan dasar kewangan. Selain itu, harga saham Malaysia juga
mempunyai hubungan dengan kadar dana persekutuan di Amerika Syarikat. Keputusan
kajian ini bertentangan dengan hipotesis pasaran cekap (EMH) di Malaysia.
Kata kunci: Harga saham, dasar kewangan, pembolehubah makroekonomi, ARDL.
Nombor klasifikasi JEL: E61, E52, E43
ACKNOWLEDGMENT
The expression of gratitude to God, I had successfully completed my Final Year
Project in time although encountered many obstacles in proceed this research. Through this
research, it had enhanced my understanding as well as knowledge in financial market and I
believe that it is useful in my future career development.
I would like to give a million thanks to those who had assisted, guided and
encouraged me throughout the process to finish my Final Year Project. Initially, I feel
pleasure to give thanks to my friendly and gentle supervisor, Encik Bakri bin Abdul Karim
who had instructed and guided me as well as morally support me during doing the project.
Through such a good instructor and guider, I believe that I am able to generate a good project.
Besides, I would like to take the opportunity to thank all the staff and workers of
Faculty of Economic and Business who had assisted me direct or indirectly in term of the
facilities and equipment provided to ensure that students able to complete their project
effective and efficiently.
Lastly, I sincerely give thanks to my family and friends, especially Miss Chai Ai
Chen who had lend a hand and support me so that I am able to complete my project in well-
timed.
vi
TABLE OF CONTENTS
Tables viii
Figures x
CHAPTER I: INTRODUCTION
1.0 Introduction 1
1.1 The Malaysian Economic 4
1.2 Monetary Policy in Malaysia 11
1.3 Stock Development in Malaysia 14
1.4 Problem Statement 21
1.5 Objective 23
1.6 Significant of Study 24
1.7 Scope of Study 25
CHAPTER II: THEORETICAL FRAMEWORK AND LITERATURE REVIEW
2.0 Introduction of Theoretical Framework 26
2.1 Market Efficiency Hypothesis 27
2.2 Literature Review 28
CHAPTER III: METHODOLOGY
3.0 Introduction 44
3.1 Research design 45
3.1.1 Sample 45
3.1.2 Data collection 45
3.1.3 Data analysis 45
vii
3.2 Methodology 46
3.2.1 Autoregressive Distributed Lag Model (ARDL) 46
3.2.2 Variance Decompositions (VDCs) and Impulse-Response Functions (IRFs) 50
CHAPTER IV: EMPIRICAL FINDINGS AND DISCUSSIONS
4.0 Introduction 52
4.1 Graphically display 53
4.2 ARDL Cointegration Results 55
4.3 Variance Decomposition test 60
4.4 Impulse- Response test 65
4.5 CUSUM test 68
4.6 Summary of discussions 69
CHAPTER V: CONCLUSION
5.0 Introduction 71
5.1 Summary 71
5.2 Implication of study 74
5.3 Recommendations 75
5.4 Limitation 76
REFERENCES 77
viii
LIST OF TABLE
Table 1: Summary of Literature Review 36
Table 2: F-statistics for testing the existence of a long-run cointegration 55
Table 3: Error Correction Representation of ARDL Model 57
Table 4: Variance decomposition of LKLCI 60
Table 5: Variance decomposition of LCPI 61
Table 6: Variance decomposition of LER 62
Table 7: Variance decomposition of LOPR 63
Table 8: Variance decomposition of FED 64
x
LIST OF FIGURE
Figure 1: Figure 1: Malaysia’s GDP by Sector 2009 5
Figure 2: Exchange Rates in Malaysia from January 2007 to July 2010 6
Figure 3: Lending Rate for Commercial Banks in Malaysia from September
2008 to September 2010 7
Figure 4: M1 and M3 from September 2008 to September 2010 in Malaysia 8
Figure 5: Inflation in Malaysia from 2005 to 2011 9
Figure 6: Annual Gross Domestic Product Growth in Malaysia from 2005 to 2011 10
Figure 7: Number of Listed Company in Malaysia from 1990 to 2009 16
Figure 8: Market Capitalization in Malaysia from 1990 to 2009 17
Figure 9: KL Composite from the years of 1990 to 2008 18
Figure 10: Value of Share Trading from 1990 to 2008 19
Figure 11: Gross Dividend Yield (%) in Malaysia from Years of 1990 to 2008 20
Figure 12: KLCI, OPR, CPI, ER and FED from January 1999 to December 2009 53
Figure 13: Impulse- response functions of LKCI, OPR and FED 65
Figure 14: Plots of CUSUM and CUSUM of Square statistics 68
Figure 15: Bidirectional relationship between stock price and monetary policy 69
Figure 16: short-run dynamic causal linkages between stock market, monetary policy,
exchange rate, inflation rate as well as federal fund rate of Malaysia 70
- 1 -
CHAPTER I
INTRODUCTION
1.0 Introduction
The relationship between stock prices and monetary policy has been hotly debated by
academicians and practitioners since early period. As Tobin (1969), Blanchard (1981) and Shah
(1984) mentioned, there are still no any empirical study illustrated the best on how the
interaction between the monetary policy and stock market. Hence, academic researchers and
large practitioners are interested to explore some puzzle questions associated with the interaction
between stock prices and monetary policy. However, macroeconomic variables such as inflation,
exchange rate and federal fund rate also have a close interaction with stock prices and monetary
policy.
First, researchers and economists are questioning about whether the shock in monetary policy
has significant impact in stock prices or reverse causality of stock prices is one of the
determinations of monetary policy. According to Cassola and Morana (2002), monetary policy
action has a strong yet short-term shock toward stock prices. On the other hand, Chami,
Cosimano and Fullenkamp (1999) argued that stock market is a vital channel for monetary policy
setting. Contradiction happens when Kraft and Kraft (1976) used time series analysis and found
no causal relationship from money supply to stock prices.
Besides, they are interested to investigate whether stock prices and monetary policy have
reciprocal relationship between each other. Dufour and Tessier (2006) stated that stock price is
an information indicator in conducting the monetary policy while the instability in M1 is also
able to predict the rise and fall in stock return.
- 2 -
Some previous researchers, on the other hand also pointed out that there was insignificant
relationship between stock prices and monetary policy which also motivates researchers and
practitioners to reexamine about it. Based on the suggestion of Durham (2003), federal fund rate
was significant with Treasury bill but insignificant with stock return, yet little evidence showed
respond of monetary policy to the shock of stock price.
In addition, how sensitive the relationship between stock price and monetary policy across
different countries and different decades also brings attention of academic researchers and
practitioners. Sensitivity of stock prices toward the changes in monetary policy is differing
across different economics and time (Yun, Iscan & Kuan, 2007; Bordo, Dueker &Wheelock,
2008).
Last but not least, unclear connection of stock return and monetary policy with
macroeconomic variables such as inflation, exchange rate and interest rate also have been long
attempted to be understand by researchers and economists.
As Ibrahim & Yusoff (2001) highlighted, appropriate understanding about the significant
shock from various markets such as real, money, financial and international market are essential
for researchers and economists, investors and policy makers. Identifying the dynamic relation
between these variables enables researchers and economists to be assisted in implementing future
study. Investors always link the performance of stock market with the changes in monetary
policy, inflation and macroeconomics (Bordo, Dueker & Wheelock, 2008). Therefore, investors
are cautious and pay attention to the shock happen in market to predict the future stock market.
Laopodis (2007) stated that the investors have negative perspective toward the stock and bond
market when large budgetary fiscal was introduced.
- 3 -
As a policy maker or monetary authority, it is vital to understand clearly about the relation
between monetary policy, stock return and other macroeconomic variables. Knowledge about the
dynamic interaction between these variables has significant impact in monetary policy setting
and decision making. Ibrahim & Yusoff (2001) suggested that stock price, exchange rate and
other macroeconomics variables act as an important input to policy maker in monetary policy
determination. On the other hand, policy makers also need to be precautious in setting the
monetary policies and exchange rate as it may bring negative implication to financial market.
- 4 -
1.1 The Malaysian Economic
Malaysia is a relatively small country with around 330,000 square kilometers land area
located at South East Asian. Malaysia’s economic had grown rapidly since independent on 1957.
According to the United States State Department (2010), Malaysia achieved one of the best
economic records in Asia. Malaysian Government and private corporations act as an active role
to promote economic expansion and social development as well as supported by prudent
monetary policy and political stability. The real Gross Domestic Product (GDP) of Malaysia had
grown averagely 6.5% per year during the year of 1957 to 2005. On the other hand, Malaysia
achieved peak performance in economy during the early 1980s until the mid-1990s with average
8% a year (United States State Department, 2010). This country diversified and modernized its
economic through huge investment in domestic and foreign.
Malaysia is a country which prosperity in the mineral resources and soils. At the early period,
Malaysia focused on agricultural and primary commodities sectors. However, following the
growth in environment, Malaysia had switched the sector from agricultural and commodities to
manufacture and export based economic driven by “high technology, knowledge-based, capital-
intensive industries” (Malaysia Industrial Development Authority, 2008). Based on the Economy
Watch (2010), export is the most contributors for Malaysia’s economic growth.
- 5 -
Figure 1: Malaysia’s GDP by Sector 2009
Source: Economy watch
Figure 1 makes obviously that the Malaysia’s Gross Domestic Product in 2009 was mostly
contributed by industries and services sector rather than agricultural sectors. Nowadays,
Malaysia is a middle-income country focuses on services and manufacturing for various sectors.
Moreover, Malaysia becomes one of the largest exporters of world in semiconductor devices,
electric goods as well as information and communication technology (ICT) products (United
States State Department, 2010).
- 6 -
Monthly Statistical Bulletin on September had published by Central Bank of Malaysia (2010)
recently to evaluate and assess the macroeconomics condition and growth in Malaysia.
Figure 2: Exchange Rates in Malaysia from January 2007 to July 2010
Sources: Bank Negara Malaysia
Figure 2 shows the exchange rates in Malaysia from the years of January 2007 to July 2010.
The exchange rate was unstable throughout these periods. It rose and fell obviously especially on
the year of 2009. As demonstrated in figure 2, the exchange rates have fallen visibly during 2009
due to the disclosure to global financial crisis. However, the exchange rates began to rebound
gradually after the 2009 economic contraction in Malaysia.
- 7 -
Figure 3: Lending Rate for Commercial Banks in Malaysia from September 2008 to September 2010
Sources: Bank Negara Malaysia
The lending rate for commercial banks in Malaysia had drop since September 2008 as shown
in the figure in 3. However, it maintained at the same rate during the mid of 2009 to early of
2010. The lending rate started to increase after the early year of 2010. The performance of base
lending rates was higher than the average lending rates from September 2008 to September 2010.
- 8 -
Figure 4: M1 and M3 from September 2008 to September 2010 in Malaysia
Sources: Bank Negara Malaysia
Figure 4 shows that the growth of M1 and M3 in Malaysia from September 2008 to
September 2010 had rose and fell substantially. It was inconsistent and unsteady. Two of these
monetary aggregates significantly dropped especially during the period of December of 2008 to
2009.
- 9 -
Figure 5: Inflation in Malaysia from 2005 to 2011
Sources: Asian Development Outlook
Asian Development Outlook (2010) also had demonstrated the inflation in Malaysia from
2005 to 2009 as well as forecasted inflation in 2010 and 2011 in figure 5. The overall
performance of inflation in Malaysia is stable except in the year of 2009 which shows negative
value in inflation. The inflation in 2010 is forecasted to rise significantly from 2009 and drop
slightly on 2011.
- 10 -
Figure 6: Annual Gross Domestic Product Growth in Malaysia from 2005 to 2011
Sources: Asian Development Outlook
According to figure 6, the annual Gross Domestic Product growth in Malaysia from 2005 to
2011 taken as a whole was moving average. Abnormal circumstance only happened during 2009
which the annual Gross Domestic Product growth was in negative value, which is same as the
Malaysia’s inflation in 2009.
- 11 -
1.2 Monetary policy in Malaysia
Malaysia is a small, trade-dependent economy with a high degree of foreign presence in both
the real and financial sectors; globalization and capital flows have thus had a significant impact
on the operation of monetary policy in the country (Cheong, 2005, p.209). The Central bank of
Malaysia is the mechanism used to frame suitable monetary policy to ensure that the economic
growth in a stable price and low inflation, promote financial system steadiness and responsibility
to act as a developmental for financial institution (Central bank of Malaysia, 2010). In Malaysia,
monetary aggregate is divided into three categories which are M1, M2, and M3. M1 is defined as
narrow money while M2 and M3 are defined as board money (Digital Library Malaysia, 2005-
2010).
Malaysia had experienced variety of monetary policy operation changes since independent.
The development of monetary policy in Malaysia is transformed in response to the changes in
global development. Malaysia’s monetary policy evolutions are split into few stages since before
the Asian crisis to the transformation after crisis, and the movement from floating exchange rate
system to pegged exchange rate system and managed float exchange rate regime (Cheong, 2005).
Before the mid-1990s, monetary policy in Malaysia was based on the monetary targeting
aggregate. This policy was an informal and domestic strategy which did not disclosure to public.
Monetary targeting aggregate had been chosen as a policy at that period due to this strategy is
parallel to the ultimate objective of monetary authority to stabilize the price (Cheong, 2005).
Central Bank of Malaysia ensures price stability by making sure that the economic has sufficient
liquidity to meet the demand during that period.
However, following by the growth in the economic and financial system in the early of 1990s,
the power of monetary aggregate as a policy indicator had weakened. As a result, new monetary
- 12 -
policy using interest rate as a targeting has been introduced. Although new targeting has been
used, Central Bank of Malaysia still pays attention to the monetary aggregate and other useful
economic and monetary indicators.
Interest rate was selected as a more suitable targeted policy during that period because the
market transformed to more interest rate-oriented and interest-sensitive. Besides, positive real
rate of return in deposits and financial deregulation also increase the role of interest rate as an
effective indicator in monetary policy. Interest rate was selected as a preference in policy rather
than other variable such as reserve money which had been further reinforced again by the
globalization.
During the Asian crisis in 1997, the ability of Central Bank of Malaysia to control the
economic based on domestic consideration interest rate targeting was affected due to volatility of
Ringgit and short-term capital flows. In 1 September 1998, selective exchange controls and fixed
Ringgit exchange rate in the future have been set up to support the economic recovery (Cheong,
2005) . The development of Ringgit was driven by the US dollar during that period.
Following by the pegged exchange rate regime, Malaysia had increased its ability to
influence the monetary policy based on own domestic monetary policy goal. Stability in
economic was achieved by fixed exchange rate regime which open the chance of financial
market to further deregulation. Financial liberalization encourage market-based system in
determine interest rate. Base lending rate (BLR) has been liberalized to provide guideline for
ceiling lending rate and connected to monetary policy rate which will also directly bring impact
to the monetary policy framework (Cheong, 2005) .
According to Central Bank of Malaysia (2010) in press statement 2004, the new interest rate
framework had been introduced in the year of 2004. The main element of new monetary
- 13 -
operating procedure was the using of overnight policy rate as the main operating target.
Overnight operating corridor and standing facilities were used to minimize the instability of
overnight rate. Under these new framework, financial institutions are able to set up own BLR
based on their strategies and cost structures under the monitor of Central Bank of Malaysia.
Based on the declaration from Central Bank of Malaysia (2010) in annual report 2005, the
fixed exchange rate system of USD1 = RM3.80 since 2 September 1998 in Malaysia was
adjusted to manage float exchange rate regime on 21 July 2005. Ringgit was monitored against
currencies of Malaysia’s main trade partner. New position enables Malaysia to respond better
and gain advantages toward the structural changes in regional. Under this regime, the Ringgit
exchange rate mainly determined by Ringgit demand and supply in the foreign exchange market
(Central Bank of Malaysia, 2010).
The spotlight of monetary policy in 2010 is encouraging the sustainability of economic
recovery which was stated in annual report 2009 (Central Bank of Malaysia, 2010). Subsequent
to the meeting of Monetary Policy Committee (MPC) currently on 8 July 2010, Central Bank of
Malaysia decided to change the Overnight Policy Rate (OPR) to 2.75 percent with the floor and
ceiling rate of the corridor between 2.50 to 3.00 percent (Central Bank of Malaysia, 2010). MPC
did this decision by considering about the current economic growth and inflation viewpoint. To
promote effectiveness in economic growth and stability, policy makers used not only one
instrument but combined several instruments to achieve more effectual result.
- 14 -
1.3 Stock Development in Malaysia
The capital market plays an important role to raise needed fund to stimulate and sustain an
economic in a country. Medium and long term funds have been mobilized to finance the public
and private activities as well as to support the bank system. Capital market is divided into two
which are primary market and secondary market. Primary market is mainly for new issues of
government and private corporation securities for public while secondary market focuses on
trading of existing securities.
Chong, Yusop, Law and Liew (2003) claimed that the stock market growth has a close
relationship with economic growth in Malaysia. They pointed out that there is positive long term
effect of stock market development toward the economic growth using Granger-causality test
based on vector error correction model (VECM). The stock market in Malaysia began to robust
growth since the late 1980s (Shimomoto, 1997-1999). Malaysian open and liberal economy
coupled by prudent macroeconomic management make possible for it to attain rapid economic
growth in previous four decades (Ali, 2001).
Two regulators were developed to monitor and supervise the stock market which is Kuala
Lumpur Stock Exchange (KLSE) and Securities Commission (SC). KLSE is established at 1973
and function as a self-regulator organization to offer a central place for counterparties in
transaction of securities. KLSE achieved a significant milestone at 1990 when Malaysian stocks
listed at Security exchange of Singapore (SES) and vice versa.
The stock index which is used as a benchmark in Malaysia is Kuala Lumpur Composite
Index (KLCI). The expansion of Malaysian market can be seen clearly at the end of the 1989
when Malaysian companies’ stock exchange was delisting. During 1993, large numbers of