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Journal : Kinerja

THE COMPARISON OF PERFORMANCE AMONG NINE BIGGEST BANKS IN INDONESIA BEFORE AND AFTER THE IMPLEMENTATION OF INDONESIA BANKING ARCHITECTURE Wijaya, Krisna; Akyuwen, Roberto
Kinerja: Jurnal Bisnis dan Ekonomi Vol 17, No 1 (2013): Kinerja Jurnal Bisnis dan Ekonomi
Publisher : Kinerja: Jurnal Bisnis dan Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (130.568 KB)

Abstract

Like in many countries, banking industry in Indonesia is more dynamic in the last decade. Level of marketcompetition among banks tends to increase continuously. This phenomenon has encouraged banks to createthe more advanced products and services to fulfi ll the growing needs of modern banking customers. Asthe monetary authority, Bank Indonesia has launched the Indonesia Banking Architecture to manage thesedynamics. IBA is a fundamental framework of banking system and provides a direction for banking operationalin Indonesia within 5 to 10 years. It is expected that IBA will create conducive environment which will enablebanks to improve their performance. This research is aimed to compare and analyze the performance of ninebiggest banks in Indonesia before and after the implementation of IBA in 2004. The performance indicatorsused are including ROA, ROE, NIM, CAR, LDR, and NPL. The data on these indicators are collected in theperiod of 2000-2009. The period of 2000-2004 is considered as before the implementation of IBA, while 2005-2009 is defi ned as after the implementation of IBA. The main tool of analysis used in this research is the meanequality test.Keywords: bank, Indonesia Banking Architecture, performance.
THE COMPARISON OF PERFORMANCE AMONG NINE BIGGEST BANKS IN INDONESIA BEFORE AND AFTER THE IMPLEMENTATION OF INDONESIA BANKING ARCHITECTURE Wijaya, Krisna; Akyuwen, Roberto
KINERJA Vol 17, No 1 (2013): Kinerja
Publisher : Faculty of Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v17i1.368

Abstract

Like in many countries, banking industry in Indonesia is more dynamic in the last decade. Level of marketcompetition among banks tends to increase continuously. This phenomenon has encouraged banks to createthe more advanced products and services to fulfi ll the growing needs of modern banking customers. Asthe monetary authority, Bank Indonesia has launched the Indonesia Banking Architecture to manage thesedynamics. IBA is a fundamental framework of banking system and provides a direction for banking operationalin Indonesia within 5 to 10 years. It is expected that IBA will create conducive environment which will enablebanks to improve their performance. This research is aimed to compare and analyze the performance of ninebiggest banks in Indonesia before and after the implementation of IBA in 2004. The performance indicatorsused are including ROA, ROE, NIM, CAR, LDR, and NPL. The data on these indicators are collected in theperiod of 2000-2009. The period of 2000-2004 is considered as before the implementation of IBA, while 2005-2009 is defi ned as after the implementation of IBA. The main tool of analysis used in this research is the meanequality test.Keywords: bank, Indonesia Banking Architecture, performance.
OPTIMIZING THE INDUSTRY MIX OF INDONESIAN PORTFOLIOS Akyuwen, Roberto; Boffey, Ray R; Powell, Robert John; Wijaya, Krisna
KINERJA Vol 18, No 2 (2014): Kinerja
Publisher : Faculty of Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v18i2.521

Abstract

Portofolio pada umumnya dioptimalkan dengan menggunakan standar deviasi return. Studi ini mengeksplorasi berbagai metode alternatif untuk mengoptimalkan bauran industri dalam portofolio di Indonesia. Penulis menggunakan dua alat ukur untuk membantu investor menghindari volatilitas ekstrim yang tidak dapat ditangkap oleh standar deviasi. Dua alat ukur tersebut adalah Value at Risk (VaR) dan Conditional Value at Risk (CVaR). VaR mengukur risiko pada batasan yang lebih tinggi daripada standar deviasi, biasanya pada tingkat kepercayaan 95% atau 99%. CVaR berhubungan dengan tingkat risiko yang paling ekstrim, yaitu risiko yang tidak ditangkap oleh VaR. Penulis menggunakan metode parametrik (untuk distribusi normal) dan non-parametrik untuk VaR dan CVaR. Untuk menjelaskan berbagai keadaan ekonomi, digunakanlah data pra-krisis ekonomi global, pada saat krisis ekonomi global dan pasca krisis ekonomi global. Dengan menggunakan pengoptimal risiko ekstrim ini, diharapkan dapat membantu investor untuk menghindari saham-saham yang berisiko tinggi. Volatilitas ekstrim juga merupakan indikator potensi masalah dalam sebuah industri, dan studi ini diharapkan dapat memberikan informasi yang penting mengenai kinerja dan risiko berbagai sektor pasar di Indonesia bagi para kreditor, regulator dan pemerintah. Kata Kunci: portofolio, bauran industri, value at risk, conditional value at risk.
THE COMPARISON OF PERFORMANCE AMONG NINE BIGGEST BANKS IN INDONESIA BEFORE AND AFTER THE IMPLEMENTATION OF INDONESIA BANKING ARCHITECTURE Krisna Wijaya; Roberto Akyuwen
KINERJA Vol. 17 No. 1 (2013): Kinerja
Publisher : Faculty of Business and Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v17i1.368

Abstract

Like in many countries, banking industry in Indonesia is more dynamic in the last decade. Level of marketcompetition among banks tends to increase continuously. This phenomenon has encouraged banks to createthe more advanced products and services to fulfi ll the growing needs of modern banking customers. Asthe monetary authority, Bank Indonesia has launched the Indonesia Banking Architecture to manage thesedynamics. IBA is a fundamental framework of banking system and provides a direction for banking operationalin Indonesia within 5 to 10 years. It is expected that IBA will create conducive environment which will enablebanks to improve their performance. This research is aimed to compare and analyze the performance of ninebiggest banks in Indonesia before and after the implementation of IBA in 2004. The performance indicatorsused are including ROA, ROE, NIM, CAR, LDR, and NPL. The data on these indicators are collected in theperiod of 2000-2009. The period of 2000-2004 is considered as before the implementation of IBA, while 2005-2009 is defi ned as after the implementation of IBA. The main tool of analysis used in this research is the meanequality test.Keywords: bank, Indonesia Banking Architecture, performance.