Monetary and Exchange Rate Policy in Malaysia before the Asian Crisis

This paper provides a case study to characterize the monetary policy regime in Malaysia, from a medium- and long-term perspective. Specifically, we ask how the central bank of Malaysia, Bank Negara Malaysia (BNM), has structured its monetary policy regime, and how it has conducted monetary and exchange rate policy under the regime. By conducting three empirical analyses, we characterize the monetary and exchange rate policy regime in Malaysia by three intermediate solutions on three vectors: the degree of autonomy in monetary policy, the degree of variability of the exchange rate, and the degree of capital mobility.

Transformation of the Financial Sector in Indonesia

Introduction : The source and deployment of finance are central issues in economic development. Since 1966, when the Soeharto Administration was inaugurated, Indonesian economic development has relied on funds in the form of aid from international organizations and foreign countries. After the 1990s, a further abundant inflow of capital sustained a rapid economic development. Foreign funding was the basis of Indonesian economic growth. This paper will describe the mechanism for allocating funds in the Indonesian economy. It will identify the problems this mechanism generated in the Indonesian experience, and it will attempt to explain why there was a collapse of the financial system in the wake of the Asian Currency Crisis of 1997. History of the Indonesian Financial system The year 1966 saw the emergence of commercial banks in Indonesia. It can be said that before 1966 a financial system hardly existed, a fact commonly attributed to economic disruptions like the consecutive runs of fiscal deficit and hyperinflation under the Soekarno Administration. After 1996, with the inauguration of Soeharto, a regulatory system of financial legislation, e.g. central banking law and banking regulation, was introduced and implemented, and the banking sector that is the basis of the current financial system in Indonesia was built up. 　　　The Indonesian financial structure was significantly altered at the first financial reform of 1983. Between 1966 and 1982, the banking sector consisted of Bank Indonesia (the Central Bank) and the state-owned banks. There was also a system for distributing the abundant public revenue derived from the soaring oil price of the 1970s. The public finance distribution function, incorporated in Indonesian financial system, changed after the successive financial reforms of 1983 and 1988, when there was a move away from the monopoly-market style dominated by state-owned banks (which was a system of public finance distribution that operated at the discretion of the government) towards a modern market mechanism. The five phases of development The Indonesian financial system developed in five phases between 1966 and the present time. The first period (1966-72) was its formative period, the second (1973-82) its policy based finance period under soaring oil prices, the third (1983-91) its financial-reform period, the fourth (1992-97) its period of expansion, and the fifth (1998-) its period of financial restructuring. The first section of this paper summarizes the financial policies operative during each of the periods identified above. In the second section changes to the financial sector in response to policies are examined, and an analysis of these changes shows that an important development of the financial sector occurred during the financial reform period. In the third section the focus of analysis shifts from the general financial sector to particular commercial banks’ performances. In the third section changes in commercial banks’ lending and fund-raising behaviour after the 1990s are analysed by comparing several banking groups in terms of their ownership and foundation time. The last section summarizes the foregoing analyses and examines the problems that remain in the Indonesian financial sector, which is still undergoing restructuring.

An Empirical Analysis of the Monetary Policy Reaction Function in India

This paper empirically analyzes India’s monetary policy reaction function by applying the Taylor (1993) rule and its open-economy version which employs dynamic OLS. The analysis uses monthly data from the period of April 1998 to December 2007. When the simple Taylor rule was estimated for India, the output gap coefficient was statistically significant, and its sign condition was found to be consistent with theoretical rationale; however, the same was not true of the inflation coefficient. When the Taylor rule with exchange rate was estimated, the coefficients of output gap and exchange rate had statistical significance with the expected signs, whereas the results of inflation remained the same as before. Therefore, the inflation rate has not played a role in the conduct of India’s monetary policy, and it is inappropriate for India to adopt an inflation-target type policy framework.

Financial Policies and Dynamic Game Simulation in Poland and Hungary

Recently, steady economic growth rates have been kept in Poland and Hungary. Money supplies are growing rather rapidly in these economies. In large, exchange rates have trends of depreciation. Then, exports and prices show the steady growth rates. It can be thought that per capita GDPs are in the same level and development stages are similar in these two countries. It is assumed that these two economies have the same export market and export goods are competing in it. If one country has an expansion of monetary policy, price increase and interest rate decrease. Then, exchange rate decrease. Exports and GDP will increase through this phenomenon. At the same time, this expanded monetary policy affects another country through the trade. This mutual relationship between two countries can be expressed by the Nash-equilibrium in the Game theory. In this paper, macro-econometric models of Polish and Hungarian economies are built and the Nash- equilibrium is introduced into them.

The Central Bank and bank credits in the Philippines : a survey on effectiveness of monetary policy and its measures

In the post-Asian crisis period, bank loans to the manufacturing sector have shown a slow recovery in the affected countries, unexceptionally in the Philippines. This paper provides a literacy survey on the effectiveness of the Central Bank’s monetary policy and the responsiveness of the financial market, and discusses on the future works necessary to better understand the monetary policy effectiveness in the Philippines. As the survey shows, most previous works focus on the correlation between the short-term policy rates and during the period of monetary tightening and relatively less interest in quantitative effectiveness. Future tasks would shed lights on (1) the asset side – other than loan outstanding – of banks to analyze their behavior/preference in structuring portfolios, and (2) the quantitative impacts during the monetary easing period.

Asset composition of the Philippines' universal and commercial banks : monetary policy or self-discipline?

The central bank of the Philippines (Bangko Sentral ng Pilipinas, BSP) has improved its monetary policy measures since the 2000s. After rationalizing the country's banking sector since late-1990s, its monetary policy and the uniiversal/commercial banks' (UCBs) behavior in allocating their assets has changed since mid-2000s. Though further and more detailed studies are nesessary, based on the results of simple correlation analyses conducted in this paper suggest a possible mixture of the country's monetary policy and their own decision-making in asset allocations, instead of a "follow-through" attitude.

Inter-industry analysis and monetary policy evaluations in the Korean flow of funds accounts

This study mainly aims to provide an inter-industry analysis through the subdivision of various industries in flow of funds (FOF) accounts. Combined with the Financial Statement Analysis data from 2004 and 2005, the Korean FOF accounts are reconstructed to form "from-whom-to-whom" basis FOF tables, which are composed of 115 institutional sectors and correspond to tables and techniques of input–output (I–O) analysis. First, power of dispersion indices are obtained by applying the I–O analysis method. Most service and IT industries, construction, and light industries in manufacturing are included in the first quadrant group, whereas heavy and chemical industries are placed in the fourth quadrant since their power indices in the asset-oriented system are comparatively smaller than those of other institutional sectors. Second, investments and savings, which are induced by the central bank, are calculated for monetary policy evaluations. Industries are bifurcated into two groups to compare their features. The first group refers to industries whose power of dispersion in the asset-oriented system is greater than 1, whereas the second group indicates that their index is less than 1. We found that the net induced investments (NII)–total liabilities ratios of the first group show levels half those of the second group since the former's induced savings are obviously greater than the latter.