Aprisal W. Malale
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ANALISIS TINGKAT RESIKO SISTEMIK DAN KETERKAITAN FINANSIAL PERBANKAN DI INDONESIA Aprisal W. Malale; Dony Abdul Chalid
Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Vol 7 No 1 (2014): Jurnal BPPK (printed version)
Publisher : Badan Pendidikan dan Pelatihan Keuangan - Kementerian Keuangan Republik Indonesia

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Abstract

This article aims to Analyze the level of sistemic risk in the banking sector of indonesia to see trade linkages and value of the shares of the banks in indonesia . The study was conducted on 16 banks whose shares are actively traded on the indonesia stock exchange, by using quantile regression with CoVar research model. The measurement result and systemic risk analysis showed that the the majority of individual banks provide additional contributions to the overall concluded that the individual risk of a banks that is conditioned to the risk of other bank generates additional diverse risks. It is confirmed that when a bank experiencing distries, this condition does not necessarily provide additional individual risk to other banks. Based on these results, it is suggested to the government to carry out special supervision by OJK to banks with high systemic risk contrubution and strong and strong financial linkages with other banks by monitoring the movement of its shares.
ANALISIS MIDDLE-INCOME TRAP DI INDONESIA Aprisal W. Malale; Maung Agus Sutikno
Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan Vol 7 No 2 (2014): Jurnal BPPK (printed version)
Publisher : Badan Pendidikan dan Pelatihan Keuangan - Kementerian Keuangan Republik Indonesia

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Abstract

Indonesia is predicted to be one of driving force for world economic growth in couple decades ahead. Now, Indonesia is still classified as middle income country and on the way to be a high income country. But, there is a risk not being able to inline in trajectory of economic growth. This study aims to find out about the middle income Trap (MIT) in indonesia, by answering the most fundamental question whether Indonesia has entered into MT, and what macroeconomic factors influence GNI per kapita as the income category. Using data published by the world bank, and multiple regression analysis, it showed that indonesia has entered the MIT trap. In addition, based on the results and analysis, it can be concluded that the variables exports of goods and services, value added agriculture , as well as aid and foreign assistance (with lag or no lag ) Significantly give negative effect on GNI percapita. Gross Capital Formation variables significantly give positive effect ( In current year) and negative affect (at 2 and 3 Year earlier) to GNP percapita in current year. Inflation variable gives no significant effect on GNI percapita. Government are recommended to take policy by focusing on improving the productivity of indonesia to encourage the growth of knowledge-based economy and more equitable distribution of targeted welfare.