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\title{International Reserve Holdings in ASEAN5 Economies}
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\begin{document}

             \author[1]{Dr. Eliza  Nora}

             \author[2]{M.  Azalib}

             \author[3]{Siong-Hook  Lawc}

             \affil[1]{  Universiti Sains Malaysia}

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\date{\small \em Received: 11 October 2011 Accepted: 2 November 2011 Published: 13 November 2011}

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\begin{abstract}
        


This paper examines international reserve holdings in five ASEAN economies during the period of 1970-2005 using the autoregressive distributed lag (ARDL) bounds testing approach proposed by Pesaran, Shin, and Smith (2001). These countries had increased their international reserve holdings after the 1997 Asian financial crisis. The majority of these countries had also experienced consistent current account surplus during the same period. Thus, the present study attempts to investigate the existence of long run relationship between reserve holdings and the current account. The empirical results indicate that current account surplus leads to the rise in international reserve holdings in Indonesia, Malaysia, and Singapore.

\end{abstract}


\keywords{International Reserves, ASEAN5 Economies, ARDL Model}

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\let\tabcellsep& 	 	 		 
\section[{INTRODUCTION}]{INTRODUCTION}\par
fter the Asian financial crisis in 1997-1998, the five ASEAN countries, namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand, had increased their holdings of international reserves. International reserves holdings in ASEAN5 economies had been increasing since in the early 1990s but a sharp rise was observed after the crisis. Among the ASEAN5, Singapore showed the highest international reserve holdings both in terms of US dollars and when reserves are scaled to GDP. This is followed by Malaysia. In 2005, Singapore's international reserves stood at US\$116 billion (104\% of GDP) while the international reserves of Malaysia were recorded at US\$70 billion (63\% of GDP). In Indonesia, international reserve holdings increased by more than 100\% after the crisis from US\$17 billion (9\% of GDP) in 1997 to US\$35 billion (18\% of GDP) in 2003 and 2004. The Philippines showed the lowest reserves in terms of US dollars (US\$16 billion). International reserves of Thailand rose from US\$29 billion in 1998 to US\$51 billion in 2005, an increase by 76\% in seven years.\par
Besides the high international reserve holdings, these countries also experienced consistent current account surplus (with some exception in the cases of the Philippines and Thailand) at least until 2005. The rise in international reserve holdings during the period with current account surplus is associated with the problem of savings-investment imbalance in the region since countries with current account surplus have higher savings than investment. The savings-investment gap had widened, especially in Malaysia and Singapore, reflecting the rise in their current account surplus in recent years.\par
Based on the above discussion, it can be inferred that high international reserve holdings in the ASEAN5 economies coincided with the period with current account surplus. An interesting question that this study attempts to answer is whether current account surplus leads to the rise in international reserve holdings in these countries. Therefore, the main objective of the present study is to empirically analyze the impact of current account imbalance on international reserve holdings in the ASEAN5 economies.\par
This study differs from the previous studies in two aspects. First, the study utilizes the autoregressive distributed lag (ARDL) bounds testing approach to cointegration to analyze the behavior of international reserve holdings. This methodology has not been widely applied in this area of research. Previous studies on international reserve holdings for individual countries usually employ the Ordinary Least Square (OLS) and the cointegration techniques developed by \hyperref[b16]{Engle and Granger (1987)},  {\ref Johensen (1988)}, and Johensen and Juselius  {\ref (1990)}. One of the advantages of the ARDL approach to cointegration over previous cointegration techniques is that the former can be applied to studies with small sample sizes \hyperref[b34]{(Mah 2000)}.\par
Second, most studies on international reserve holdings for developed and developing countries are based on cross-country or panel data analysis. Only a few studies are conducted for individual countries. Even though there are studies that analyze the behavior of international reserve holdings for individual Asian countries, for instance, China \hyperref[b24]{(Huang, 1995;} {\ref Wei and Zhu, 2000)}, India \hyperref[b41]{(Ramachandran, 2004}\hyperref[b42]{(Ramachandran, , 2006;;}\hyperref[b43]{Ramachandran and Srinivasan, 2007;}\hyperref[b39]{Prabheesh, Malathy, and Madhumati, 2008)}, Korea \hyperref[b2]{(Aizenman, Lee, and Rhee, 2007;}\hyperref[b26]{Jo, 2007;}\hyperref[b40]{Ra, 2007)}, Pakistan \hyperref[b31]{(Khan and Ahmed, 2005)}, and Taiwan \hyperref[b25]{(Huang and Shen, 1999)}, there is still a limited number of studies on international reserve holdings for individual ASEAN The remainder of this paper is organized as follows. Section II reviews recent empirical literature on international reserve holdings. Section III summarizes the data and methodology to be employed in this study. The major findings are presented in Section IV. The final section concludes the paper. 
\section[{II.}]{II.} 
\section[{REVIEW OF EMPIRICAL LITERATURE}]{REVIEW OF EMPIRICAL LITERATURE}\par
This section provides a review of some empirical literature on international reserve holdings for individual countries. There has been an increasing number of studies using time series data since in the 1990s. Individual-country studies have addressed the following issues associated with international reserve holdings: (1) the transactions, precautionary, and mercantilist motives for holding reserves; (2) monetary disequilibrium and reserve holdings; (3) the opportunity cost of holding reserves; (4) the role of reserves as a buffer stock.\par
For instance, \hyperref[b15]{Elbadawi (1990)} estimates the model of international reserve holdings for Sudan during 1971-1982 and he discovers that international reserve holdings in Sudan exhibits constant return to scale and the variability measure is positive and significant, reflecting the precautionary motive for holding reserves. A study by \hyperref[b39]{Prabheesh, Malathy and Madhumati (2008)} for India during 1983-2005 also supports the precautionary motive for holding reserves against the current account and capital account vulnerabilities. Studies by \hyperref[b29]{Karfakis (1997)} on Greece (during 1976-1992) and  {\ref Wei and Zhu (2000)} on China (during January 1994 to December 1998) suggest that the international reserve holdings in these countries serve the role in the balance of payments adjustment process. These findings also support the precautionary motive for holding reserves. Applying the seasonal error correction model, \hyperref[b25]{Huang and Shen (1999)} analyze the behavior of international reserve holdings in Taiwan during 1961Q1-1995Q2. Their findings suggest that precautionary motive is not an important determinant of reserve holdings in Taiwan.\par
Using quarterly data for the period 1985Q1-1997Q4, \hyperref[b7]{Badinger (2004)} finds strong economies of scale for holding reserves in Austria and he concludes that the transactions motive represents the foreign exchange demand by the private sector.\par
Aizenman, Rhee, and Lee (2007) analyze the precautionary motive for holding reserves for Korea during 1994-2003 by including variables such as short term external debt and foreign portfolio holdings. The empirical results suggest that the Korean holding of international reserves after the 1997 financial crisis supports the precautionary motive for holding reserves. In contrary, \hyperref[b26]{Jo (2007)} finds that the Korean holding of international reserves during the period after the crisis is to maintain export competitiveness which supports the mercantilist motive for holding reserves.\par
Besides the precautionary and mercantilist motives, opportunity cost also affects international reserve holdings in Korea. For instance, \hyperref[b40]{Ra (2007)} applies the dynamic ordinary least square (DOLS) and Johensen and Juselius (1990) cointegration approach to estimate reserve model for Korea during 1990-2005 and he concludes that the opportunity cost for holding reserves is inversely related to international reserve holdings during the pre-crisis and the whole sample period.\par
Some studies on international reserve holdings test the theory of monetarist approach to balance of payments by including monetary disequilibrium as an added regressor in reserve equation. For instance, Ford and Huang (1994) examine international reserve holdings in China during 1952-1991 and their empirical results suggest that domestic monetary disequilibrium significantly affects reserve holdings and the monetary authority takes appropriate action to restore reserves to their desired level. Monetary disequilibrium also significantly affects international reserve holdings in Pakistan during 1982Q1-2003Q2 \hyperref[b31]{(Khan and Ahmed, 2005)}.\par
Following \hyperref[b19]{Frenkel and Jovanovic (1981)}, \hyperref[b10]{Cifarelli and Paladino (2006)} estimate the model of international reserve holdings based on the buffer stock model using the Johensen cointegration approach for ten Asian and Latin American emerging economies. Their empirical results suggest that high international reserve holdings in these countries is associated with the "fear of floating" and mercantilist motive. Similarly, Ramachandran and Srinivaran (2007) and \hyperref[b41]{Ramachandran (2004}\hyperref[b42]{Ramachandran ( , 2006) )} utilize the buffer stock model to analyze the behavior of international reserve holdings for India and they discover that this model predicts well the reserve model for India. 
\section[{III.}]{III.} 
\section[{DATA, EMPIRICAL MODEL, AND METHODOLOGICAL ISSUES a) Data}]{DATA, EMPIRICAL MODEL, AND METHODOLOGICAL ISSUES a) Data}\par
This study utilizes annual data covering the period of 1970-2005. Reserves, current account balance, and total external debt are scaled by GDP. This is to allow comparison across different sizes of economy  {\ref (Cheung and Xing, 2007)}. Following \hyperref[b14]{Edison (2003)}, export volatility is measured by standard deviation of real export receipts. Data on international reserves (excluding gold), real GDP per capita, imports, exports, and current account balance are obtained from the International Financial Statistics (IMF, 2007) and data on total external debt are collected from World Development Indicators (World \hyperref[b47]{Bank, 2007)} and Key Indicators of Developing Asian and Pacific Countries (ADB, various issues). 
\section[{Global Journal of Management and Business Research Volume XI Issue Version I b) Empirical Model of International Reserve Holdings}]{Global Journal of Management and Business Research Volume XI Issue Version I b) Empirical Model of International Reserve Holdings}\par
Following \hyperref[b17]{Frenkel (1974a)}, international reserve holdings is a function of a scale variable, propensity to import, and the variability measure. The scale variable is expected to have a direct relationship with international reserve holdings since it is expected that the international reserve holdings should increase with a rise in the volume of international transactions. Marginal propensity to import can have a positive or negative relationship with reserve holdings. A positive relationship indicates that propensity to import acts as a proxy for the openness of an economy \hyperref[b18]{(Frenkel, 1974b}) while a negative relationship indicates that the variable becomes a proxy for the marginal cost of adjustment \hyperref[b24]{(Huang, 1995)}.\par
Besides these three explanatory variables, two additional variables are included in the model: current account balance and total external debt. The relationship between international reserves and current account balance is based on the theories presented by \hyperref[b12]{Dunn and Mutti (2000)}, \hyperref[b35]{McCauley (2003)}, and \hyperref[b44]{Taniuchi (2006)}. It has been argued that emerging economies accumulate reserves during the period with current account surplus through foreign exchange market intervention to avoid serious appreciation of their currencies. Specifically, the monetary authorities purchase foreign currencies and sell domestic currency to maintain stable exchange rates. This action would help these countries to retain their export competitiveness. On the other hand, when the current account is in deficit, central banks would sell foreign currencies (purchase domestic currency). This would result in the decline in international reserve holdings.\par
The inclusion of total external debt in the model is in line with the theories developed by Aizenman, Rhee, and Lee (2004) and \hyperref[b4]{Alfaro and Kanczuk (2007)}. \hyperref[b3]{Aizenman and Marion (2004)} argue that countries with high cost of tax collections and sovereign risk tend to hold reserves and borrow externally. When output is not stable, external debt can be used to ease consumption. Under the event of default on external debt and thus, no access to external borrowing, international reserves can be used to ease consumption, provided that creditors have no access to country's international reserves.\par
Aizenman et al. (  {\ref 2004}) extends the model on international reserve holdings suggested by \hyperref[b3]{Aizenman and Marion (2004)} by taking into account the effect of abrupt short term capital reversals that reduces output and leads to financial crisis. International reserves may reduce the impact of crisis and thus improving welfare. The model accounts for the impact of the failure of a country to make external debt repayments on output. Reduction in output, in turn, could increase the probability of recession.\par
Alfaro and Kanczuk (2007) develop a stochastic equilibrium model of international reserve holdings based on the framework proposed by \hyperref[b13]{Eaton and Gersowitz (1980)}, \hyperref[b5]{Arellano (2006)}, and Aguiar and Gopinath  {\ref (2006)}. They incorporate the decision to hold both reserves and debt in their model. They argue that both reserves and debt can be used to smooth consumption, even though after the country has defaulted.\par
The relationship between international reserves and external debt can be positive or negative. If the relationship is positive, the latter is a complement for the former. Otherwise, the latter becomes a substitute for the former \hyperref[b13]{(Eaton and Gersowitz, 1980)}.\par
Based on the theories presented above, the proposed model of international reserve holdings for ASEAN5 economies is developed as follows:ln = t R t YCAP ln 1 0 ? ? + t PIM ln 2 ? + + + t XVOL ln 3 ? + t CA ln 4 ? t DEBT ln 5 ? + t ?\par
Where lnR is the ratio of international reserves to GDP; lnYCAP is the real GDP per capita (scale variable); lnPIM is the average propensity to import (imports/GDP); lnXVOL is the variability in real export receipts; lnCA is the ratio of current account balance to GDP; and lnDEBT is the ratio of total external debt to GDP. All variables are expressed in logarithms. 
\section[{c) Methodology}]{c) Methodology}\par
In this study, the following procedures were used. Firstly, stationary tests were performed to identify the order of integration of the variables. These is done since the ARDL bounds test requires that the dependent variable to be I(1) and the independent variables to be either I(0) or I \hyperref[b0]{(1)}. The following stationary tests were carried out: the Augmented Dickey-Fuller (ADF) test \hyperref[b11]{(Dickey and Fuller 1979)} and KPSS test (Kwiatkowski, Phillips, Schmidt, and Shin, 1992).\par
Secondly, the ARDL bounds test developed by Pesaran, Shin, and Smith (2001) was applied to investigate the existence of cointegration relationship between international reserve holdings and its determinants. Following \hyperref[b38]{Pesaran et al. (2001)}, the vector auto-regression (VAR) of order p of international reserve holdings in the ASEAN5 economies is developed as follows:t p i i t i t x w ? ? ? + + = ? = ? 1 (2)\par
Where w t is the vector of dependent variable (the ratio of international reserves to GDP) and x t is the vector consisting of both the dependent variable and independent variables (real GDP per capita, propensity to import, export volatility, the ratio of current account balance to GDP, and the ratio of total external debt to (1) 11 GDP). ? is a constant term, ? is the vector of parameters of lag i, t is time or trend term, and ? is the vector of error terms.\par
The error correction model of the ARDL model can be expressed as:1 2 1 1 1 0 ? ? + + + = ? t t t z w w ? ? ? ? ? t p i i t i p i i t i z w ? ? ? + ? + ? + ? ? = ? = ? 0 1 (3)\par
The third and the fourth expressions containing ?s on the right-hand side correspond to the long run relationship. The remaining expressions with the summation sign represent the short-run dynamics of the model, where ? is the first difference operator. We develop the Unrestricted Error Correction model based on the assumptions made by \hyperref[b38]{Pesaran et al. (2001)} in Case III, that is, unrestricted intercepts and no trends. In this case, it is assumed that ? 0 ?0 and ? 1 =0.\par
Thus, the unrestricted error correction model (UECM) based on equation (  {\ref 1}) is developed as follows:ln = ? t R 1 2 1 1 0 ln ln ? ? + + t t YCAP R ? ? ? 1 3 ln ? + t PIM ? 1 4 ln ? + t XVOL ? 1 5 ln ? + t CA ? 1 6 ln ? + t DEBT ? ? = ? ? + a k k t k R 1 , 1 ln ? ? = ? ? + b k k t k YCAP 0 , 2 ln ? ? = ? ? + c k k t k PIM 0 , 3 ln ? ? = ? ? + d k k t k XVOL 0 , 4 ln ? ? = ? ? + e k k t k CA 0 , 5 ln ? ? = ? ? + e k k t k DEBT 0 , 6 ln ? t ? +\par
The long run elasticities are calculated by dividing the coefficient of the first lag of the independent variable by the coefficient of the first lag of the dependent variable \hyperref[b8]{(Bardsen, 1989)}. There are three steps in the ARDL bounds test. First, equation (  {\ref 2}) is estimated using Ordinary Least Square (OLS). Second, Wald tests are conducted to test for the existence of long run relationship between international reserve holdings and its determinants. This test is performed by imposing restrictions on the long run coefficients of lnR, lnYCAP, lnPIM, lnXVOL, lnCA, and lnDEBT. The null and alternative hypotheses for equation (2) are constructed as follows:\par
H 0 : ? 1 =? 2 =? 3 =? 4 =? 5 =? 6 = 0 (There is no long run level relationship) H 1 : ? 1 ?? 2 ?? 3 ?? 4 ?? 5 ?? 6 ?0 (There is long run level relationship)\par
The computed F-statistic from the Wald test is compared with the critical values from \hyperref[b38]{Pesaran et al. (2001)} and \hyperref[b36]{Narayan (2005)}. The lower critical value assumes that the regressors are integrated of order zero or I(0) while the upper critical value assumes that the regressors are integrated of order one or I(1). If the calculated F-statistic from the Wald test is greater than the upper critical value, the null hypothesis of no long run relationship will be rejected. If the calculated statistic is less than the lower critical value, the null hypothesis will not be rejected. If the calculated value falls within the upper and lower critical values, the result of the test is inconclusive. The selection of model is based on the Hendry's (1991) general to specific approach.\par
IV. 
\section[{DISCUSSION OF FINDINGS a) Stationary Test Results}]{DISCUSSION OF FINDINGS a) Stationary Test Results}\par
The results of the ADF and KPSS tests both with and without trend are presented in Table \hyperref[tab_0]{1}. The lag lengths for the ADF and KPSS tests are selected using the Aikake Information Criteria (AIC) and the Newey-West bandwith, respectively. The results of the tests indicate that the dependent variables (lnR) at level are non-stationary. When the tests are performed at first difference, lnR of each country is found to be stationary. On the other hand, some of the independent variables are found to be stationary at level (I(0)) while some of them are stationary at first difference (I(1)). In short, the dependent variable (lnR) is I(1) while the dependent variables are either I(0) or I(  {\ref 1}).\par
(4) 1.\par
ADF = augmented Dickey-Fuller; KPSS = Kwiatkowski, Phillips, Schmidt, and Shin 2.\par
Critical va lues f or ADF a nd KPSS t ests a re t aken from M acKinnon (1991) a nd Kwiatkowski, Phillips, Schmidt, and Shin (1992), respectively. 
\section[{3.}]{3.}\par
The n ull h ypothesis f or ADF t est i s t hat t he s eries i s n on-stationary w hile t he n ull hypothesis for the KPSS test is that the series is stationary. 4. lnR = ratio of international reserves to GDP, logged; lnYC = real GDP per capita, logged; lnPIM = a verage p ropensity to im port ( imports/GDP), l ogged; l nXPV = v olatility o f r eal export receipts, logged; lnCA = ratio of current account balance to GDP, logged; lnEXTD = ratio of total external debt to GDP, logged. 
\section[{5.}]{5.}\par
Figures in parentheses are the lag lengths. ***, **, and * indicate significant at 1\%, 5\%, and 10\% level respectively. 
\section[{b) ARDL Bounds Test Results}]{b) ARDL Bounds Test Results}\par
Table \hyperref[tab_2]{2} presents the results of the UECM for the long run coefficients based on equation \hyperref[b1]{(2)}. The goodness of fit of the models (adjusted R-squared) and the standard error of regression remain superior in all models. The short run coefficients of the UECM results are presented in Table \hyperref[tab_3]{3} Table \hyperref[tab_4]{4} summarizes the results of the ARDL bounds tests based on equation (  {\ref 2}). The calculated Fstatistics for all five countries are greater than the upper critical values at least at 5\% and 10\% levels of significance based on \hyperref[b38]{Pesaran et al. (2001)} and \hyperref[b36]{Narayan (2005)}, respectively. Therefore the null hypothesis of no cointegration can be rejected for all cases and we conclude that there is a long run level relationship between international reserve holdings and its determinants for Indonesia, Malaysia, the Philippines, Singapore, and Thailand.\par
The long run elasticities calculated based on equation (  {\ref 2}) are presented in Table \hyperref[tab_5]{5}. GDP per capita (lnYCAP) is significant and positive in the cases of Indonesia and Thailand. The positive relationship indicates that international reserve holdings rise with the rise in the volume of international transactions.\par
Propensity to import (lnPIM) is significant in affecting reserve holdings in all sample countries except in the case of Indonesia. The coefficient sign is positive for Malaysia and the Philippines but negative in the cases of Singapore and Thailand. Therefore, lnPIM represents the openness of the economy for the first two countries and the variable acts as a marginal cost of adjustment for the last two countries.\par
The relationship between export volatility and international reserve holdings is positive and significant only in the case of Indonesia. This implies that international Diagnostic tests such as Breusch-Godfrey serial correlation test, ARCH test, Ramsey RESET specification test, Jacque-Bera normality test, and stability tests (CUSUM and CUSUM of Square tests) are performed to test for the adequacy of the models. All models have passed these tests. The results of diagnostic tests are summarized in the lower panel of Table \hyperref[tab_2]{2} and in the Appendix.\par
Cointegration can be rejected for all cases and we conclude that there is a long run level relationship between international reserve holdings and its determinants for Indonesia, Malaysia, the Philippines, Singapore, and Thailand.\par
Reserve holdings rise with an increase in the volatility of export receipts in this country. 1. lnR = r atio o f international r eserves t o GDP, l ogged; l nYCAP = real G DP p er cap ita, logged; lnPIM = average propensity to import (imports/GDP), logged; lnXVOL = volatility of real export receipts, logged; lnCA = ratio of current account balance to GDP, logged; and lnDEBT = ratio of total external debt to GDP, logged. Current account balance shows a significant positive impact on international reserve holdings in Indonesia, Malaysia, and Singapore. The positive relationship implies that a rise in the current account surplus leads to a rise in international reserve holdings in these countries. The impact of current account balance on international reserve holdings is highest in Indonesia followed by Singapore and Malaysia. A 1\% increase in the current account surplus would result in the rise in international reserve holdings by 0.56\%, 0.54\% and 0.27\% in Indonesia, Singapore, and Malaysia, respectively. These results are consistent with the fact that these countries were experiencing huge current account surplus in recent years.  In the case of the Philippines, the current account recorded deficits since 1987 until 2001, except in 1998. The current account of the Philippines shifted to surplus after 2002 and remained in surplus until, at least, to 2005. However, the surplus totaling to only US\$3 billion during 2003-2005. This surplus was relatively small as compared to the surplus in the rest of sample countries. This fact may explain the insignificant impact of current account balance on reserve holdings in the Philippines. 
\section[{Figures in parentheses (}]{Figures in parentheses (}\par
The insignificance of current account balance in Thailand may be associated with the inverse movement between international reserves and the current account. The ratio of reserves to GDP in Thailand was moving upward (from 26\% in 1998 to 30\% in 2002-2005) while the ratio of current account balance to GDP was moving downward (from 13\% in 1998 to 4\% in 2004). Furthermore, the Thailand's current account had shifted to a deficit amounting to US\$7.8 billion in 2005.\par
International reserve holdings would decline with the rise in the total external debt holdings in the Philippines. In other words, total external debt is a substitute for international reserves in this country. A 1\% increase in total external debt would lead to the decline in international reserve holdings by 1.2\% in the Philippines. Total external debt is not significant in the rest of the countries.\par
Total external debt does not have any significant effect on international reserve holdings in the cases of Indonesia, Malaysia, Singapore, and Thailand. Some possible explanation for such findings can be offered. Indonesia was able to reduce its total external debt burden from US\$151 billion (97\% of GDP) in 1998-1999 to an average of US\$136 billion (74\% of GDP) during 2001-2004. The reduction is mainly due to the reduction in the long term debt of the private sector from US\$55 billion in 1998 to an average of US\$32 billion in 2001-2004 (Asian Development Bank, various issues). The government has taken steps in rescheduling its external debt and also the external debt of the private sector. Under the Paris Club and London Club Agreements, the government was allowed to reschedule its external debt repayments. Besides, the Frankfurt Agreement was signed on the 4th June of 1998 to assist the private sector in resolving its external debt burden \hyperref[b32]{(Kusumaningtuti, 2004}).\par
In the case of Malaysia, there had been a decline in the private sector's long term external debt from US\$18 billion in 2000 to an average of US\$14 billion during \hyperref[b38]{2001} {\ref (ADB 2006))}. There are at least two reasons that could explain the insignificance of total external debt in Singapore. First, the Singaporean government has not taken any external financing since 1996. This may be due to the policy of the government to maintain budget surplus. The government budget has been in consistent surplus since 1988 (ADB various issues). Second, even though the levels of external debt have grown in recent years, Singapore is a net creditor in all trade credit transactions, debt securities, FDIrelated loans, and loans to other non-residents \hyperref[b30]{(Kapur, 2005)}.\par
The short run causality based on equation (  {\ref 2}) is presented in Table \hyperref[tab_6]{6}. In the short run, lnYCAP is significant only in the case of the Philippines while lnPIM is significant in all sample countries. lnXVOL is significant in affecting international reserve holdings in the cases of the Philippines and Singapore. lnCA is significant in all of the ASEAN countries except Thailand while lnDEBT debt does not show significant impact on international reserve holdings in the short run except in the case of Thailand.  
\section[{CONCLUSION}]{CONCLUSION}\par
This paper examines the behavior of international reserve holdings in the ASEAN5 economies, namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand, during the period of 1970-2005. The ARDL bounds testing approach developed by Pesaran et al. (  {\ref 2001}) is utilized to test for the existence of cointegration relationship between international reserve holdings and its determinants (GDP per capita, average propensity to import, export volatility, current account balance/GDP, and total external debt/GDP). The empirical results indicate that there is a long run relationship between international reserve holdings and its determinants in the five ASEAN economies.\par
An important conclusion can be drawn from the empirical findings is that current account balance is significant and positively related to international reserve holdings in Indonesia, Malaysia, and Singapore. In other words, current account surplus leads to the rise in international reserve holdings in these countries.\par
Current account surplus is the excess savings by the private sector. Therefore, it is expected that the private sector will use these savings to finance their investment. However, due to the less developed financial markets in the region, the private sector may have limited ability to transform their savings into investment. As a result, the public sector acts as an intermediary for the private sector to recycle the savings into investment. In particular, the public sector has transformed these savings into investment in foreign currency assets in the form of the build up of international reserves  {\ref (Genberg, McCauley, Park, and Persaud, 2005, p. 13)}.\par
The build up of reserves represents the investment in foreign currency assets, especially the US dollar denominated assets, by central banks. This is because nearly 70\% of international reserves are denominated in the US dollars (World Bank, 2005; Genberg et al., 2005, p. 30). These reserves are usually invested in high liquidity and low return assets such as the US treasury bills and bonds \hyperref[b37]{(Oh, Park, Park, and Yang, 2003;}\hyperref[b46]{World Bank 2005)}. Such investment of reserves represents capital outflows from East Asia to the US. These outflows of savings could be a loss of opportunities to these countries since the returns on reserves may be lower than the returns on alternative investments at home. Therefore part of reserves may be used to finance investment at home such as on health, education, and infrastructure. Such investment may minimize the savings-investment imbalance and promote long term economic growth in these countries.   
\section[{APPENDIX}]{APPENDIX} 
\section[{Stability tests Indonesia}]{Stability tests Indonesia}
\begin{quote}
Malaysia\end{quote}
\begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-2.png}
\caption{\label{fig_0}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.015206662553979025\textwidth}P{0.08888032078963602\textwidth}P{0.20240592227020357\textwidth}P{0.2013571869216533\textwidth}P{0.17540098704503393\textwidth}P{0.16674892041949413\textwidth}}
\tabcellsep \tabcellsep ADF Test\tabcellsep \tabcellsep KPSS Test\tabcellsep \\
Countries\tabcellsep Variables\tabcellsep Without Trend\tabcellsep With Trend\tabcellsep Without Trend\tabcellsep With Trend\\
Indonesia\tabcellsep lnR\tabcellsep -2.5894 (0)\tabcellsep -2.7151 (3)\tabcellsep 0.7469 (4)***\tabcellsep 0.1284 (12)*\\
\tabcellsep ?lnR\tabcellsep -7.1632 (0)***\tabcellsep -7.1507 (0)***\tabcellsep 0.1186 (3)\tabcellsep 0.0692 (3)\\
\tabcellsep lnYCAP\tabcellsep -1.8357 (0)\tabcellsep -1.6083 (1)\tabcellsep 0.7003 (5)**\tabcellsep 0.1522 (4)**\\
\tabcellsep ?lnYCAP\tabcellsep -4.2539 (0)***\tabcellsep -4.4740 (0)***\tabcellsep 0.2592 (2)\tabcellsep 0.0614 (1)\\
\tabcellsep lnPIM\tabcellsep -2.6035 (0)\tabcellsep -2.4747 (0)\tabcellsep 0.5183 (4)**\tabcellsep 0.0886 (2)\\
\tabcellsep ?lnPIM\tabcellsep -6.2176 (0)***\tabcellsep -6.3073 (0)***\tabcellsep 0.1909 (4)\tabcellsep 0.0990 (5)\\
\tabcellsep lnXVOL\tabcellsep -2.9575 (3)*\tabcellsep -3.1817 (3)\tabcellsep 0.3392 (4)\tabcellsep 0.0900 (2)\\
\tabcellsep ?lnXVOL\tabcellsep -4.7629 (4)***\tabcellsep -4.6808 (4)***\tabcellsep 0.0559 (1)\tabcellsep 0.0541 (1)\\
\tabcellsep lnCA\tabcellsep -3.4726 (0)**\tabcellsep -3.6843 (1)**\tabcellsep 0.3494 (3)*\tabcellsep 0.1265 (2)*\\
\tabcellsep ?lnCA\tabcellsep -6.2626 (1)***\tabcellsep -6.1594 (1)***\tabcellsep 0.0574 (3)\tabcellsep 0.0568 (3)\\
\tabcellsep lnDEBT\tabcellsep -1.5970 (0)\tabcellsep -2.0373 (0)\tabcellsep 0.4426 (5)*\tabcellsep 0.0954 (4)\\
\tabcellsep ?lnDEBT\tabcellsep -5.5772 (0)***\tabcellsep -5.4902 (0)***\tabcellsep 0.1002 (0)\tabcellsep 0.0994 (0)\\
Malaysia\tabcellsep lnR\tabcellsep -0.8448 (0)\tabcellsep -3.0273 (1)\tabcellsep 0.7191 (4)**\tabcellsep 0.1494 (3)**\\
\tabcellsep ?lnR\tabcellsep -5.4116 (0)***\tabcellsep -4.6284 (3)***\tabcellsep 0.3083 (17)\tabcellsep 0.0479 (3)\\
\tabcellsep lnYCAP\tabcellsep -1.2830 (0)\tabcellsep -3.9935 (8)**\tabcellsep 0.7088 (5)**\tabcellsep 0.0760 (4)\\
\tabcellsep ?lnYCAP\tabcellsep -4.8785 (0)***\tabcellsep -4.9762 (0)***\tabcellsep 0.1450 (2)\tabcellsep 0.0573 (1)\\
\tabcellsep lnPIM\tabcellsep -1.1162 (0)\tabcellsep -3.2815 (0)*\tabcellsep 0.6672 (5)**\tabcellsep 0.0919 (2)\\
\tabcellsep ?lnPIM\tabcellsep -6.7491 (0)***\tabcellsep -6.6427 (0)***\tabcellsep 0.0741 (3)\tabcellsep 0.0742 (3)\\
\tabcellsep lnXVOL\tabcellsep -2.4267 (0)\tabcellsep -4.0789 (0)**\tabcellsep 0.7611 (4)*\tabcellsep 0.0679 (2)\\
\tabcellsep ?lnXVOL\tabcellsep -8.7104 (0)***\tabcellsep -8.7890 (0)***\tabcellsep 0.0983 (5)\tabcellsep 0.0832 (6)\\
\tabcellsep lnCA\tabcellsep -2.8432 (1)*\tabcellsep -3.1344 (1)\tabcellsep 0.2369 (3)\tabcellsep 0.1121 (2)\\
\tabcellsep ?lnCA\tabcellsep -5.3593 (0)***\tabcellsep -5.3020 (0)***\tabcellsep 0.0772 (3)\tabcellsep 0.0350 (2)\\
\tabcellsep lnDEBT\tabcellsep -2.8438 (4)*\tabcellsep -5.1456 (1)***\tabcellsep 0.4369 (5)*\tabcellsep 0.1629 (4)**\\
\tabcellsep ?lnDEBT\tabcellsep -4.8104 (1)***\tabcellsep -2.8438 (4)*\tabcellsep 0.2899 (9)\tabcellsep 0.0646 (5)\\
The Philippines\tabcellsep lnR\tabcellsep -2.3289 (7)\tabcellsep -1.6614 (1)\tabcellsep 0.3539 (4)*\tabcellsep 0.1540 (4)**\\
\tabcellsep ?lnR\tabcellsep -4.1801 (1)***\tabcellsep -4.5065 (3)***\tabcellsep 0.0874 (2)\tabcellsep 0.0888 (2)\\
\tabcellsep lnYCAP\tabcellsep -1.5139 (2)\tabcellsep -2.5819 (1)\tabcellsep 0.4908 (4)**\tabcellsep 0.1004 (4)\\
\tabcellsep ?lnYCAP\tabcellsep -3.5720 (1)**\tabcellsep -3.4970 (1)*\tabcellsep 0.1300 (2)\tabcellsep 0.1299 (2)*\\
\tabcellsep lnPIM\tabcellsep -0.3981 (1)\tabcellsep -1.7441 (3)\tabcellsep 0.6116 (5)**\tabcellsep 0.1414 (4)*\\
\tabcellsep ?lnPIM\tabcellsep -7.4357 (0)***\tabcellsep -7.3442 (0)**\tabcellsep 0.0971 (1)\tabcellsep 0.0808 (1)\\
\tabcellsep lnXVOL\tabcellsep -2.3405 (0)\tabcellsep -3.1354 (0)\tabcellsep 0.3543 (4)*\tabcellsep 0.0605 (3)\\
\tabcellsep ?lnXVOL\tabcellsep -6.1865 (1)***\tabcellsep -6.1484 (1)***\tabcellsep 0.1421 (2)\tabcellsep 0.0714 (3)\\
\tabcellsep lnCA\tabcellsep -2.3576 (0)\tabcellsep -3.5552 (8)*\tabcellsep 0.2803 (4)\tabcellsep 0.1295 (3)*\\
\tabcellsep ?lnCA\tabcellsep -5.6565 (1)***\tabcellsep -5.6648 (1)***\tabcellsep 0.3190 (13)\tabcellsep 0.0517 (3)\\
\tabcellsep lnDEBT\tabcellsep -1.9695 (1)\tabcellsep -1.7296 (1)\tabcellsep 0.4473 (5)*\tabcellsep 0.1588 (4)**\\
\tabcellsep ?lnDEBT\tabcellsep -3.5720 (0)**\tabcellsep -3.6962 (0)**\tabcellsep 0.1982 (1)\tabcellsep 0.0722 (1)\\
Singapore\tabcellsep lnR\tabcellsep -1.0722 (0)\tabcellsep -3.0143 (3)\tabcellsep 0.6739 (5)**\tabcellsep 0.1443 (1)*\\
\tabcellsep ?lnR\tabcellsep -6.4146 (0)***\tabcellsep -6.4339 (0)***\tabcellsep 0.0568 (3)\tabcellsep 0.0483 (3)\\
\tabcellsep lnYCAP\tabcellsep -2.5184 (0)\tabcellsep -2.0608 (0)\tabcellsep 0.7117 (5)**\tabcellsep 0.1829 (4)**\\
\tabcellsep ?lnYCAP\tabcellsep -4.9678 (0)***\tabcellsep -5.4095 (1)***\tabcellsep 0.4133 (1)*\tabcellsep 0.0563 (3)\\
\tabcellsep lnPIM\tabcellsep -2.2061 (1)\tabcellsep -2.2511 (1)\tabcellsep 0.1440 (4)\tabcellsep 0.1257 (4)*\\
\tabcellsep ?lnPIM\tabcellsep -6.4658 (0)***\tabcellsep -6.3652 (0)***\tabcellsep 0.0894 (1)\tabcellsep 0.0834 (1)\\
\tabcellsep lnXVOL\tabcellsep -2.0599 (0)\tabcellsep -3.5777 (1)**\tabcellsep 0.7238 (4)**\tabcellsep 0.0559 (2)\\
\tabcellsep ?lnXVOL\tabcellsep -4.3766 (4)***\tabcellsep -4.2830 (4)**\tabcellsep 0.1125 (7)\tabcellsep 0.0996 (7)\\
\tabcellsep lnCA\tabcellsep -0.8656 (5)\tabcellsep -4.0348 (0)**\tabcellsep 0.6985 (4)**\tabcellsep 0.1675 (2)**\\
\tabcellsep ?lnCA\tabcellsep -9.1313 (0)***\tabcellsep -9.9914 (0)***\tabcellsep 0.1986 (2)\tabcellsep 0.0900 (4)\\
\tabcellsep lnDEBT\tabcellsep -0.5104 (1)\tabcellsep -3.4085 (8)*\tabcellsep 0.6217 (5)**\tabcellsep 0.0971 (4)\\
\tabcellsep ?lnDEBT\tabcellsep -4.5197 (0)***\tabcellsep -4.4880 (0)***\tabcellsep 0.1015 (0)\tabcellsep 0.0774 (1)\\
Thailand\tabcellsep lnR\tabcellsep -1.5991 (3)\tabcellsep -3.4756 (5)*\tabcellsep 0.4502 (5)**\tabcellsep 0.1349 (3)*\\
\tabcellsep ?lnR\tabcellsep -3.9509 (0)***\tabcellsep -3.9824 (0)**\tabcellsep 0.2009 (4)\tabcellsep 0.1023 (4)\\
\tabcellsep lnYCAP\tabcellsep -0.8808 (1)\tabcellsep -3.2503 (7)*\tabcellsep 0.6978 (5)**\tabcellsep 0.1039 (4)\\
\tabcellsep ?lnYCAP\tabcellsep -3.3534 (0)**\tabcellsep -3.3489 (0)*\tabcellsep 0.1123 (3)\tabcellsep 0.0953 (3)\\
\tabcellsep lnPIM\tabcellsep -0.3187 (1)\tabcellsep -3.3760 (0)*\tabcellsep 0.7002 (5)**\tabcellsep 0.0799 (3)\\
\tabcellsep ?lnPIM\tabcellsep -8.0132 (0)***\tabcellsep -7.9276 (0)***\tabcellsep 0.1078 (4)\tabcellsep 0.0620 (4)\\
\tabcellsep lnXVOL\tabcellsep -2.5199 (0)\tabcellsep -2.9578 (0)\tabcellsep 0.6360 (4)**\tabcellsep 0.1003 (2)\\
\tabcellsep ?lnXVOL\tabcellsep -5.0097 (2)***\tabcellsep -4.9118 (2)***\tabcellsep 0.1225 (3)\tabcellsep 0.0436 (2)\\
\tabcellsep lnCA\tabcellsep -2.5909 (0)\tabcellsep -2.6527 (0)\tabcellsep 0.2106 (3)\tabcellsep 0.1302 (10)*\\
\tabcellsep ?lnCA\tabcellsep -4.7351 (2)***\tabcellsep -4.6790 (2)***\tabcellsep 0.0648 (3)\tabcellsep 0.0663 (3)\\
\tabcellsep lnDEBT\tabcellsep -1.6802 (1)\tabcellsep -1.1560 (1)\tabcellsep 0.5342 (5)**\tabcellsep 0.1312 (4)*\\
\tabcellsep ?lnDEBT\tabcellsep -3.3324 (0)**\tabcellsep -3.5846 (0)**\tabcellsep 0.2231 (4)\tabcellsep 0.0942 (3)\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{}
\end{longtable} \par
 
\caption{\label{tab_1}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.1429450369155045\textwidth}P{0.0048810500410172274\textwidth}P{0.000697292863002461\textwidth}P{0.14015586546349468\textwidth}P{0.13876127973748975\textwidth}P{0.1415504511894996\textwidth}P{0.1415504511894996\textwidth}P{0.13945857260049221\textwidth}}
Variable\tabcellsep \tabcellsep \tabcellsep Indonesia\tabcellsep Malaysia\tabcellsep Philippines\tabcellsep Singapore\tabcellsep Thailand\\
\tabcellsep \tabcellsep \tabcellsep (-2.1898)\tabcellsep (-0.4408)\tabcellsep (-1.4424)\tabcellsep (0.3177)\tabcellsep (-2.0436)\\
lnR t-1\tabcellsep \tabcellsep \tabcellsep -1.2229***\tabcellsep -0.9573***\tabcellsep -1.1027***\tabcellsep -0.6052**\tabcellsep -0.1525*\\
\tabcellsep \tabcellsep \tabcellsep (-4.0165)\tabcellsep (-4.1352)\tabcellsep (-4.1347)\tabcellsep (-2.5103)\tabcellsep (-1.8436)\\
lnYCAP t-1\tabcellsep \tabcellsep \tabcellsep 0.9284**\tabcellsep 0.1334\tabcellsep 2.1489\tabcellsep -0.0154\tabcellsep 0.6830*\\
\tabcellsep \tabcellsep \tabcellsep (2.4470)\tabcellsep (0.3111)\tabcellsep (1.3812)\tabcellsep (-0.1076)\tabcellsep (1.7939)\\
lnPIM t-1\tabcellsep \tabcellsep \tabcellsep 0.4991\tabcellsep 0.7429*\tabcellsep 1.8541***\tabcellsep -0.2856**\tabcellsep -0.7276**\\
\tabcellsep \tabcellsep \tabcellsep (1.1606)\tabcellsep (1.9218)\tabcellsep (4.7293)\tabcellsep (-2.2295)\tabcellsep (-2.4968)\\
lnXVOL t-1\tabcellsep \tabcellsep \tabcellsep 0.2357***\tabcellsep 0.0060\tabcellsep 0.1322\tabcellsep -0.0182\tabcellsep 0.0049\\
\tabcellsep \tabcellsep \tabcellsep (3.0022)\tabcellsep (0.0647)\tabcellsep (1.2375)\tabcellsep (-0.5969)\tabcellsep (0.0996)\\
lnCA t-1\tabcellsep \tabcellsep \tabcellsep 0.6853***\tabcellsep 0.2614***\tabcellsep 0.0830\tabcellsep 0.3304***\tabcellsep -0.1170\\
\tabcellsep \tabcellsep \tabcellsep (3.2721)\tabcellsep (3.9370)\tabcellsep (0.4646)\tabcellsep (3.3574)\tabcellsep (-1.6733)\\
lnDEBT t-1\tabcellsep \tabcellsep \tabcellsep 0.2010\tabcellsep -0.0775\tabcellsep -1.2785***\tabcellsep 0.0507\tabcellsep -0.0664\\
\tabcellsep \tabcellsep \tabcellsep (0.7600)\tabcellsep (-0.6501)\tabcellsep (-4.3313)\tabcellsep (0.9053)\tabcellsep (-0.4091)\\
\multicolumn{2}{l}{Adjusted R 2}\tabcellsep \tabcellsep 0.6255\tabcellsep 0.5948\tabcellsep 0.6568\tabcellsep 0.5940\tabcellsep 0.6032\\
AIC\tabcellsep \tabcellsep \tabcellsep 0.1190\tabcellsep -1.0397\tabcellsep 0.2640\tabcellsep -2.7159\tabcellsep -1.5221\\
Std. e\tabcellsep rror of\tabcellsep \tabcellsep 0.2208\tabcellsep 0.1234\tabcellsep 0.2374\tabcellsep 0.0534\tabcellsep 0.0970\\
regression\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
F-statistic\tabcellsep \tabcellsep \tabcellsep 4.1436\tabcellsep 3.9353\tabcellsep 4.6023\tabcellsep 4.1215\tabcellsep 4.2430\\
\multicolumn{2}{l}{Probability (F}\tabcellsep -\tabcellsep 0.0041\tabcellsep 0.0046\tabcellsep 0.0024\tabcellsep 0.0032\tabcellsep 0.0027\\
statistic)\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{Diagnostic Tests}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Serial\tabcellsep \tabcellsep \tabcellsep 1.1752\tabcellsep 2.5919\tabcellsep 0.8293\tabcellsep 0.4653\tabcellsep 2.1512\\
\multicolumn{2}{l}{correlation test}\tabcellsep \tabcellsep {}[0.3395]\tabcellsep {}[0.1102]\tabcellsep {}[0.4543]\tabcellsep {}[0.6367]\tabcellsep {}[0.1509]\\
\multicolumn{2}{l}{ARCH test}\tabcellsep \tabcellsep 0.3353\tabcellsep 0.3188\tabcellsep 1.2901\tabcellsep 0.7360\tabcellsep 0.3770\\
\tabcellsep \tabcellsep \tabcellsep {}[0.7179]\tabcellsep {}[0.7296]\tabcellsep {}[0.2911]\tabcellsep {}[0.4881]\tabcellsep {}[0.6894]\\
\multicolumn{2}{l}{Normality test}\tabcellsep \tabcellsep 2.8036\tabcellsep 0.1290\tabcellsep 0.4377\tabcellsep 1.9393\tabcellsep 2.8626\\
\tabcellsep \tabcellsep \tabcellsep {}[0.2462]\tabcellsep {}[0.9376]\tabcellsep {}[0.8034]\tabcellsep {}[0.3792]\tabcellsep {}[0.2390]\\
Ramsey\tabcellsep \tabcellsep \tabcellsep 1.0885\tabcellsep 2.8330\tabcellsep 1.9510\tabcellsep 0.0513\tabcellsep 0.5078\\
\multicolumn{2}{l}{RESET test}\tabcellsep \tabcellsep {}[0.3145]\tabcellsep {}[0.1130]\tabcellsep {}[0.1745]\tabcellsep {}[0.9502]\tabcellsep {}[0.6118]\end{longtable} \par
 
\caption{\label{tab_2}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.04751552795031056\textwidth}P{0.10207039337474119\textwidth}P{0.3214630779848171\textwidth}P{0.0932712215320911\textwidth}P{0.11145617667356797\textwidth}P{0.0885783298826777\textwidth}P{0.08564527260179433\textwidth}}
\tabcellsep Variable\tabcellsep Indonesia\tabcellsep Malaysia\tabcellsep The Philippines\tabcellsep Singapore\tabcellsep Thailand\\
\tabcellsep ?lnR t-1\tabcellsep 0.2749\tabcellsep 0.4647**\tabcellsep 0.2868\tabcellsep \\
\tabcellsep \tabcellsep (1.1370)\tabcellsep (2.4577)\tabcellsep (1.0874)\tabcellsep \\
\tabcellsep ?lnR t-2\tabcellsep 0.2692\tabcellsep \tabcellsep 0.1915\tabcellsep 0.4111*\tabcellsep 0.2582\\
\tabcellsep \tabcellsep (1.4359)\tabcellsep \tabcellsep (0.9590)\tabcellsep (1.8851)\tabcellsep (1.4885)\\
\tabcellsep ?lnYCAP t\tabcellsep \tabcellsep \tabcellsep 8.4343**\tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep (2.6870)\tabcellsep \\
\tabcellsep ?lnYCAP t-1\tabcellsep \tabcellsep \tabcellsep -6.8786***\tabcellsep 0.3222\tabcellsep -0.5912\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep (-3.0537)\tabcellsep (0.6022)\tabcellsep (-0.6875)\\
\tabcellsep ?lnYCAP t-2\tabcellsep 1.6767\tabcellsep 0.8387\tabcellsep \tabcellsep 0.6555\tabcellsep -1.0757\\
\tabcellsep \tabcellsep (0.5617)\tabcellsep (0.9892)\tabcellsep \tabcellsep (1.3310)\tabcellsep (-1.1739)\\
\tabcellsep ?lnPIM t\tabcellsep \tabcellsep 0.3914\tabcellsep 2.8458***\tabcellsep 0.5840**\tabcellsep 0.2865\\
\tabcellsep \tabcellsep \tabcellsep (1.6840)\tabcellsep (4.4545)\tabcellsep (2.1778)\tabcellsep (1.4784)\\
\tabcellsep ?lnPIM t-1\tabcellsep -0.6127\tabcellsep -0.5043*\tabcellsep \tabcellsep -0.1498\tabcellsep 0.6609**\\
\tabcellsep \tabcellsep (-1.4620)\tabcellsep (-1.7538)\tabcellsep \tabcellsep (-0.7252)\tabcellsep (2.5833)\\
\tabcellsep ?lnPIM t-2\tabcellsep -1.2790***\tabcellsep \tabcellsep -0.8981\tabcellsep \\
\tabcellsep \tabcellsep (-3.0423)\tabcellsep \tabcellsep (-1.7067)\tabcellsep \\
\tabcellsep ?lnXVOL t\tabcellsep 0.0784\tabcellsep 0.1253*\tabcellsep 0.0648\tabcellsep \tabcellsep 0.0403\\
\tabcellsep \tabcellsep (1.0973)\tabcellsep (1.9253)\tabcellsep (0.6224)\tabcellsep \tabcellsep (1.0290)\\
\tabcellsep ?lnXVOL t-1\tabcellsep \tabcellsep 0.0517\tabcellsep -0.2476**\tabcellsep -0.0646*\\
\tabcellsep \tabcellsep \tabcellsep (0.8245)\tabcellsep (-2.4697)\tabcellsep (-2.0402)\\
\tabcellsep ?lnXVOL t-2\tabcellsep \tabcellsep 0.0778\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep (1.2901)\tabcellsep \tabcellsep \\
\tabcellsep ?lnCA t\tabcellsep 0.2956***\tabcellsep 0.1092**\tabcellsep 0.3420**\tabcellsep 0.4863***\\
\tabcellsep \tabcellsep (3.1830)\tabcellsep (2.1795)\tabcellsep (2.6390)\tabcellsep (3.7741)\\
\tabcellsep ?lnCA t-1\tabcellsep -0.4551**\tabcellsep -0.1020*\tabcellsep \tabcellsep -0.0886*\tabcellsep 0.0955\\
\tabcellsep \tabcellsep (-2.8044)\tabcellsep (-1.7916)\tabcellsep \tabcellsep (-2.0426)\tabcellsep (1.6974)\\
\tabcellsep ?lnCA t-2\tabcellsep -0.2775**\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep (-2.2608)\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep ?lnDEBT t\tabcellsep \tabcellsep \tabcellsep -1.0426\tabcellsep -0.1097\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep (-1.5846)\tabcellsep (-1.2318)\\
\tabcellsep ?lnDEBT t-1\tabcellsep 0.3230\tabcellsep 0.3005\tabcellsep 1.3289*\tabcellsep \tabcellsep -0.3516\\
\tabcellsep \tabcellsep (0.9458)\tabcellsep (1.3821)\tabcellsep (1.9200)\tabcellsep \tabcellsep (-1.6553)\\
\tabcellsep ?lnDEBT t-2\tabcellsep 0.8284\tabcellsep \tabcellsep \tabcellsep \tabcellsep -0.6572**\\
\tabcellsep \tabcellsep (1.5786)\tabcellsep \tabcellsep \tabcellsep \tabcellsep (-2.8988)\\
Notes:\tabcellsep 1.\tabcellsep \multicolumn{5}{l}{lnR = ratio of international reserves to GDP, logged; lnYCAP = real GDP per capita,}\\
\tabcellsep \tabcellsep \multicolumn{5}{l}{logged; l nPIM = a verage prop ensity t o import (imports/GDP), l ogged; l nXVOL =}\\
\tabcellsep \tabcellsep \multicolumn{5}{l}{volatility of re al export receipts, logged; lnCA = ratio of c urrent account balance to}\\
\tabcellsep \tabcellsep \multicolumn{4}{l}{GDP, logged; and lnDEBT = ratio of total external debt to GDP, logged.}\\
\tabcellsep 2.\tabcellsep \multicolumn{2}{l}{Figures in parentheses ( ) are t-statistics.}\tabcellsep \tabcellsep \\
\multicolumn{5}{l}{***, **, and * indicate significant at 1\%, 5\%, 10\% levels, respectively.}\tabcellsep \end{longtable} \par
 
\caption{\label{tab_3}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.14134831460674158\textwidth}P{0.23876404494382023\textwidth}P{0.12224719101123596\textwidth}P{0.21202247191011236\textwidth}P{0.09168539325842696\textwidth}P{0.04393258426966292\textwidth}}
Version I\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
and Business Research Volume XI Issue\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Global Journal of Management\tabcellsep Country Indonesia Malaysia The Philippines Singapore Thailand\tabcellsep \tabcellsep \multicolumn{2}{l}{Computed F-Statistic 4.1940 **(*) 3.9031 **(*) 4.1094 **(*) 5.0941 ***(**) 4.5439 **(**)}\\
\tabcellsep Unrestricted Intercept\tabcellsep Critical Values\tabcellsep \tabcellsep \\
\tabcellsep and No Trend\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \multicolumn{2}{l}{Pesaran et al. (2001)}\tabcellsep Narayan (2005)\\
\tabcellsep Significance level\tabcellsep Lower Bound\tabcellsep Upper Bound\tabcellsep Lower Bound\tabcellsep Upper Bound\\
\tabcellsep \tabcellsep (k=5)\tabcellsep \tabcellsep (k=5; n=35)\\
\tabcellsep 1\%\tabcellsep 3.41\tabcellsep 4.68\tabcellsep 4.26\tabcellsep 6.04\\
\tabcellsep 5\%\tabcellsep 2.62\tabcellsep 3.79\tabcellsep 3.04\tabcellsep 4.44\\
\tabcellsep 10\%\tabcellsep 2.26\tabcellsep 3.35\tabcellsep 2.51\tabcellsep 3.76\\
\tabcellsep 1.\tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_4}Table 4 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{5} \par 
\begin{longtable}{P{0.4893135725429017\textwidth}P{0.11536661466458659\textwidth}P{0.05702028081123244\textwidth}P{0.06762870514820592\textwidth}P{0.06232449297971918\textwidth}P{0.05834633385335414\textwidth}}
\tabcellsep \multicolumn{4}{l}{(Dependent Variable: Reserves/GDP (lnR))}\tabcellsep \\
\tabcellsep Indonesia\tabcellsep Malaysia\tabcellsep The\tabcellsep Singapore\tabcellsep Thailand\\
\tabcellsep \tabcellsep \tabcellsep Philippines\tabcellsep \tabcellsep \\
lnYCAP\tabcellsep 0.7591**\tabcellsep 0.1393\tabcellsep 1.9488\tabcellsep -0.0254\tabcellsep 4.4796*\\
lnPIM\tabcellsep 0.4081\tabcellsep 0.7761*\tabcellsep 1.6814***\tabcellsep -0.4718**\tabcellsep -4.7719**\\
lnXVOL\tabcellsep 0.1928***\tabcellsep 0.0062\tabcellsep 0.1199\tabcellsep -0.0301\tabcellsep 0.0322\\
lnCA\tabcellsep 0.5604***\tabcellsep 0.2730***\tabcellsep 0.0752\tabcellsep 0.5459***\tabcellsep -0.7672\\
lnDEBT\tabcellsep 0.1644\tabcellsep -0.0810\tabcellsep -1.1594***\tabcellsep 0.0838\tabcellsep -0.4357\\
\multicolumn{6}{l}{lnYCAP = real GDP per capita, logged; lnPIM is average propensity to import (imports/GDP), logged;}\\
\multicolumn{6}{l}{lnXVOL = volatility of real export receipts, logged; lnCA = ratio of current account balance to GDP,}\\
\multicolumn{4}{l}{logged; and lnDEBT = ratio of total external debt to GDP, logged.}\tabcellsep \tabcellsep \\
\multicolumn{5}{l}{***, **, and * indicate significant at 1\%, 5\%, and 10\% levels, respectively.}\tabcellsep \end{longtable} \par
 
\caption{\label{tab_5}Table 5 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{6} \par 
\begin{longtable}{P{0.1524742268041237\textwidth}P{0.6344329896907216\textwidth}P{0.014020618556701031\textwidth}P{0.019278350515463918\textwidth}P{0.01577319587628866\textwidth}P{0.014020618556701031\textwidth}}
\tabcellsep Indonesia\tabcellsep Malaysia\tabcellsep Philippines\tabcellsep Singapore\tabcellsep Thailand\\
1.\tabcellsep \multicolumn{4}{l}{lnYCAP is real GDP per capita, logged; lnPIM is average propensity to import}\\
\tabcellsep \multicolumn{5}{l}{(imports/GDP), logged; lnXVOL is volatility of real export receipts, logged; lnCA is}\\
\tabcellsep \multicolumn{4}{l}{the ratio of current account balance to GDP, logged; lnDEBT is the ratio of total}\\
\tabcellsep external debt to GDP, logged.\tabcellsep \tabcellsep \tabcellsep \\
2.\tabcellsep \multicolumn{2}{l}{? is the first difference operator.}\tabcellsep \tabcellsep \\
3.\tabcellsep \multicolumn{2}{l}{Figures in square brackets [ ] are the p-values.}\tabcellsep \tabcellsep \\
\multicolumn{5}{l}{***, **, and * indicate significant at 1\%, 5\%, and 10\% levels, respectively.}\\
V.\tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_6}Table 6 :}\end{figure}
 			\footnote{© 2011 Global Journals Inc. (US) © 2011 Global Journals Inc. (US) XII 2011 December International Reserve Holdings in ASEAN5 Economies} 			\footnote{© 2011 Global Journals Inc. (US) XII 2011 December International Reserve Holdings in ASEAN5 Economies} 			\footnote{© 2011 Global Journals Inc. (US) © 2011 Global Journals Inc. (US)} 			\footnote{DecemberInternational Reserve Holdings in ASEAN5 Economies} 			\footnote{© 2011 Global Journals Inc. (US) XII} 			\footnote{© 2011 Global Journals Inc. (US) © 2011 Global Journals Inc. (US) XII 2011 December International Reserve Holdings in ASEAN5 Economies 2. * outside and inside parenthesis indicate significance levels based on P esaran et al. (2001) and Narayan (2005), respectively. 3. k and n denote the number of regressors and observations, respectively. ***, **, and * indicate significant at 1\%, 5\%, and 10\% levels, respectively.} 		 		\backmatter  			 
\subsection[{This page is intentionally left blank}]{This page is intentionally left blank} 
\subsection[{Global Journal of Management and Business Research Volume XI Issue}]{Global Journal of Management and Business Research Volume XI Issue}\par
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\end{document}
