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"ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh pertumbuhan kredit terhadap kinerja bank berdasarkan penilaian pasar dengan menggunakan pendekatan Tobin rsquo's Q, baik secara keseluruhan maupun selama periode sebelum krisis dan selama krisis di Amerika Serikat pada bank-bank umum konvensional yang terdaftar dalam Bursa Efek Indonesia selama tahun 2005 ndash; 2014 menggunakan data kuartalan. Sedangkan metode analisis data yang digunakan adalah metode data panel. Setelah melakukan kontrol terhadap karakteristik bank, pertumbuhan kredit secara signifikan berpengaruh positif terhadap kinerja bank berdasarkan penilaian pasar di tiap periode waktu.

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ABSTRACTThis research aims to investigate how loan growth influence bank performance according to market valuation by using Tobin rsquo s Q as proxy, both comprehensively or before and during the financial crisis in United States on listed convensional banks during 2005 ndash 2014 by using quarterly data. Regarding data analysis method, this research is using panel data. After controlling for bank characteristics, loan growth is positively and statistically significant influence bank performance according to market valuation in each period of time. "

"Penelitian ini bertujuan untuk menganalisis apakah efektivitas komite pemantau risiko (komite pemantau risiko wanita, jumlah anggota komite dan frekuensi rapat komite) berpengaruh terhadap pengambilan risiko dan kinerja bank umum di Indonesia. Penelitian ini juga meneliti pengaruh interaksi komite pemantau risiko dengan pengambilan risiko terhadap kinerja bank yang dihitung dengan menggunakan Tobin's Q. Dengan sampel 25 bank umum yang terdaftar di BEI periode 2008-2012, penelitian ini menunjukkan bahwa frekuensi rapat komite berpengaruh positif terhadap pengambilan risiko sedangkan proporsi komite wanita dan jumlah anggota komite berpengaruh negatif terhadap pengambilan risiko. Frekuensi rapat berpengaruh negatif terhadap kinerja namun berpengaruh positif terhadap hubungan antara pengambilan risiko dan kinerja bank.

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This study aims to examine whether risk monitoring committee effectiveness (female risk monitoring committee, size committee, and frequency of meetings) affects bank risk taking and bank performance. This study also examines the effect of risk monitoring committee effectiveness on the relationship between bank risk taking and bank performance measured by Tobin’s Q. With a sample of 25 bank listed in Indonesia Stock Exchange during 2008-2012, this study finds that frequency of meetings committee positively affect bank risk taking while proportion of female risk monitoring committee and size committee negatively affect bank risk taking. Frequency of meetings negatively affects bank performance but positively affect the relationship between bank risk taking and bank performance."

"Penelitian ini bertujuan untuk menganalisa pengaruh non-performing loan terhadap lending behaviour bank-bank konvensional di Indonesia dengan periode kuartal dari tahun 2006-2015. Selain itu, penelitian ini ingin menguji bagaimana keputusan memberikan pinjaman tersebut kaitannya dengan masalah moral hazard. Dengan metode Threshold Regression oleh Hansen (1999), dan menggunakan rasio Non-Performing Loan sebelumnya sebagai threshold variable, peneliti menemukan adanya masalah moral hazard dimana bank justru meningkatkan pinjaman ketika rasio NPL bank sudah diatas 5,29%. Sementara itu, determinan rasio non-performing loan di Indonesia yaitu tingkat pertumbuhan kredit (LGR), tingkat pertumbuhan kredit periode sebelumnya (l.LGR), rasio modal terhadap total aset (ER), ukuran bank (Size) dan tren waktu (dummy year).

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This research aims to analyze the effects of non-performing loan towards lending behaviour in conventional banks in Indonesia in the period of 2006-2015, and it also investigating the relation between lending behaviour and moral hazard. By applying the Threshold Regression method from Hansen (1999) and applying the most recent non-performing loan ratio as the threshold variable, the researcher has found that the moral hazard problem is exist when the NPL ratio exceed 5,29%. The determinants of the non-performing loan ratio in Indonesia are loan growth rate (LGR), last period loan growth rate (1.LGR), equity to total asset ratio (ER), bank size (Size) and dummy year."

"Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh yang diberikan oleh risiko kredit, risiko likuiditas, dan risiko operasional terhadap kinerja perbankan, yang dilihat dari kinerja keuangan bank tersebut; pada bank-bank yang terdaftar di Bursa Efek Indonesia periode 2016-2020. Variabel bebas dalam penelitian ini antara lain risiko kredit, risiko likuiditas, dan risiko operasional; dimana risiko kredit diukur dengan rasio non-performing loans, risiko likuiditas diukur dengan current ratio dan loan-to-deposit ratio, serta risiko operasional diukur dengan basic indicator approach yang ketentuannya diatur oleh Basel II. Selain itu, terdapat variabel terikat dalam penelitian ini, yaitu kinerja perbankan, yang diukur dengan menggunakan rasio return on assets. Adapun terdapat variabel kontrol dalam penelitian ini, yaitu firm age, yang diukur dengan lamanya bank tersebut menjalankan operasionalnya; dan firm growth yang diukur melalui pertumbuhan pada persentase perubahan sales yang berhasil dicapai oleh bank di tahun tersebut. Penelitian ini adalah penelitian kuantitatif dengan menguji regresi data panel. Hasil dari penelitian ini ditemukan bahwa risiko kredit dan risiko operasional memberikan pengaruh yang signifikan, sedangkan risiko likuiditas tidak memberikan pengaruh yang signifikan; terhadap kinerja keuangan bank. Firm age dan firm growth memberikan pengaruh yang signifikan terhadap kinerja keuangan bank.

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The purpose of this study is to analyze the effect of specific risks; credit risk, liquidity risk, and operational risk towards bank’s performance, which is measured by bank’s financial performance on banks listed in IDX period 2016-2020. Credit risk, liquidity risk, and operational risk are the independent variables in this study. Credit risk is measured by non-performing loans ratio; liquidity risk is measured by current ratio and loan-to-deposit ratio; and operational risk is measured by basic indicator approach, which is regulated by Basel II. Moreover, bank’s performance as a dependent variable is measured by return on assets ratio. Furthermore, there are control variables in this study, i.e. firm age and firm growth. Firm age is measured by how long the banks do its business; and firm growth is measured by percentage change in sales. This is a quantitative research using panel data regression test. The results of this study find that credit risk and operational risk significantly influence financial performance; but liquidity risk shows insignificant affect the financial performance. On the other hand, firm age and firm growth significantly impact the bank’s financial performance."

"Skripsi ini menganalisa mengenai faktor-faktor yang mempengaruhi profitabilitas dan jumlah loan Bank komersial di Indonesia. Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar pengaruh dari keadaan makro ekonomi (GDP),market share bank pemerintah (Bankcon), proporsi industri perbankan terhadap makro ekonomi Indonesia (AssetG), suku bunga, Non Performing Loan (NPL), Capital Adequacy Ratio (CAR), besaran asset bank (Size), dan Karakteristik kepemilikan bank untuk meningkatkan profitabilitas dan jumlah Loan Bank di Indonesia. Dalam penelitian ini, digunakan metode data panel dengan estimasi Random.Dari hasil penelitian yang telah dilakukan dengan menggunakan aplikasi Eviews, didapatkan hasil bahwa proporsi industri perbankan terhadap makro ekonomi Indonesia (AssetgG), CAR, dan besaran asset bank (Size) signifikan mempengaruhi profitabilitas dan GDP, NPL, CAR dam ROE berpengaruh secara signifikan terhadap perubahan jumlah Loan.

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This study analyzed determinant factors influence profitability and loans amount of commercial banks in Indonesia. Purpose of this study is to identify in which extent of influence macro-economic conditions (GDP), market shares of state own banks (Bankcon), banking industry proportion on macro-economic conditions in Indonesia (AssetG), interest rates, Non Performing Loan (NPL,) Capital Adequacy Ratio (CAR), bank asset (Size), and the characteristics of bank ownership to improve profitability and amount of loan bank in indonesia. This study involves the method of panel data with Random Effects estimation.

The finding as a result from using application eviews, banking industry proportion on macro-economic conditions in Indonesia (AssetG), CAR and bank asset (Size) influence significantly to profitability and GDP, NPL, CAR, and ROE influence significantly to the changing amount of loan."

"Penelitian ini bertujuan untuk mengetahui apakah perbedaan metode perhitungan kualitas kredit berpengaruh terhadap profitabilitas bank di Indonesia. Indikator Profitabiltas yang digunakan adalah Return On Asset (ROA) dan Return On Equity (ROE) sedangkan kualitas kredit dibedakan berdasarkan empat metode, yaitu 1) rasio Non-Performing Loan, 2) rasio NPL dengan kredit restrukturisasi kualitas Lancar dan Dalam Perhatian Khusus, 3) rasio NPL yang memperhitungkan hapus buku, dan 4) rasio NPL ditambah kredit restrukturisasi kualitas Lancar dan Dalam Perhatian Khusus dan hapus buku. Penelitian ini menggunakan analisis data panel model fixed effect. Hasil penelitian ini menemukan bahwa perbedaan perhitungan kualitas kredit yang berbeda memiliki pengaruh signifikan secara statistic pada ROA, kecuali untuk metode kedua.Selain itu, variable penjelas yang memiliki pengaruh signifikan secara statistic pada ROA adalah gearing ratio, ukuran aset dan ROA periode sebelumnya. Selanjutnya, perbedaan perhitungan kualitas kredit juga memiliki dampak yang signifikan terhadap ROE dengan pengecualian untuk metode ketiga. Rasio kecukupan modal (CAR) dan ROE periode sebelumnya adalah variabel independen lain yang menunjukkan pengaruh yang signifikan terhadap profitabilitas ROE. Namun, untuk kasus model ROE dengan perhitungan kualitas kredit metode ketiga menyebabkan gearing ratio menjadi signifikan secara statistik.

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This study aims at examining whether different calculation methods in credit quality have influenced the profitability of the banking businesses in Indonesia. While we used return on asset (ROA) and return on equity (ROE) as profitability indicators, we differentiated the credit quality based on the way we treated the bad loans in the calculation of the non-performing loan (NPL) ratio. We thus have four approaches, namely 1) common NPL ratio, 2) NPL ratio which included the credits with current and special mention collectability resulted from debt restructuring programs as bad loans, 3) NPL ratio which took into account the bad loans that have been written off, and 4) NPL ratio which combined the second and the third methods.

Following panel data procedures of analysis, we found that different NPL ratios have statistically significant effect on profitability, ROA, except for the second method of NPL ratio. Besides, other explanatory variables that have statistically significant influence on the ROA are gearing ratio, the size of the assets and the previous period of ROA itself. Furthermore, the various NPL ratios have also significant impact on ROE profitability with the exception for the third methods. Capital adequacy ratio (CAR) and the first lag of ROE are the other independent variables that showed significant effect on ROE profitability. However, for the case of the ROE model with the third NPL ratio method, gearing ratio is found to be negative and statistically significant."

"[Penelitian ini menyelidiki pengaruh dari keragaman gender dan rata rata umur dalam Direksi terhadap performa perbankan. Sampel penelitian ini termasuk 26 bank yang publicly listed di Indonesia dalam periode tahun 2010 2014 Metode regresi memakai model panel tepatnya memakai fixed effect model dan random effect model. Hasil dari penelitian menyatakan bahwa terdapat pengaruh positif signifikan dengan titik optimal positif concave dari variabel keragaman. Direksi gender terhadap Tobin Q return on average assets dan return on average equity. Variabel keragaman gender yang kedua mengenai rata rata umur memiliki pengaruh positif signifikan dengan titik optimal positif concave terhadap variabel return on average equity

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This research aims to see the impact of gender diversity and age in the board of directors, towards bank performance in Indonesia. Sample used for this research comes from 26 publicly listed banks in Indonesia, from 2010-2014. The regression method uses panel data method, to be exact, this research uses the

fixed effect model and random effect model. The conclusion of this research is we can see a positive concave relationship between the percentage of women inside the board of directors towards Tobin’s Q, Return on Average Assets, and Return on Average Equity. We can also see a positive concave relationship between the average age of board of directors towards Return on Average Equity., This research aims to see the impact of gender diversity and age in the board of

directors, towards bank performance in Indonesia. Sample used for this research

comes from 26 publicly listed banks in Indonesia, from 2010 – 2014. The

regression method uses panel data method, to be exact, this research uses the

fixed effect model and random effect model. The conclusion of this research is we

can see a positive concave relationship between the percentage of women inside

the board of directors towards Tobin’s Q, Return on Average Assets, and Return

on Average Equity. We can also see a positive concave relationship between the

average age of board of directors towards Return on Average Equity.]"

"Penelitian ini bertujuan untuk mengetahui faktor- faktor apa saja yang mempengaruhi stabilitas keuangan pada bank yang terdaftar pada bursa efek Indonesia pada periode 2007 - 2011. Sampel yang digunakan dalam penelitian ini adalah bank yang terdaftar di BEI. Jumlah sampel yang digunakan adalah sebanyak 27 bank periode tahun 2007- 2011. Teknik analisis yang digunakan adalah regresi data panel dengan menggunakan software eviews 6.0. Hasil penelitian ini menunjukkan bahwa pada beberapa model memperlihatkan pengaruh antara variabel market power terhadap financial stability dimana financial stability diukur oleh non performing loans dan z-index.Studi memperlihatkan bahwa market power berpengaruh secara negatif terhadap financial stability yang diukur dengan non performing loans tetapi berpengaruh positif terhadap financial stability yang diukur dengan menggunakan z-index. Semakin besar pasar yang diraih oleh bank maka semakin banyak kredit macet yang dihasilkan. Serta pengaruh antara variabel market power dengan variabel finacial stability yang diukur dengan z-index yaitu semakin besar pasar yang diraih bank maka semakin stabil pula stabilitas keuangan bank tersebut.

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Purpose of this study is to determine the factors that influence financial stability in the banks listed on the Indonesia Stock Exchange in the period 2007-2011. The sample used in this study are listed on the Stock Exchange bank. The samples used were as many as 27 bank-year period from 2007 to 2011. The analysis technique used is panel data regression using eviews 6.0 software. These results indicate that on some models show the influence of variables to the financial stability of market power where financial stability is measured by nonperforming loans and z-index.

Studies show that market power can negatively affect the financial stability as measured by non-performing loans but a positive effect on financial stability as measured by using z-index. The bigger the market was achieved by the bank, the more the resulting credit crunch. As well as the influence of variables with the variable market power finacial stability as measured by the z-index of the market that is increasingly achieved by the bank, the more stable is also the financial stability of the bank."

"Penelitian ini bertujuan untuk melihat pengaruh diversifikasi kredit terhadap risiko kredit, efisiensi, dan kapitalisasi bank. Data yang digunakan merupakan data panel yang terdiri dari 20 bank umum konvensional yang terdaftar di Bursa Efek Indonesia periode 2007-2011. Metode penelitian menggunakan Fixed-Effect Model dan Random-Effect Model. Hasil dari penelitian ini menunjukkan bahwa diversifikasi kredit secara signifikan berpengaruh positif terhadap risiko kredit dan efisiensi serta berpengaruh negatif terhadap kapitalisasi. Hal tersebut menunjukkan bahwa diversifikasi kredit meningkatkan risiko kredit, meningkatkan efisiensi bank, dan menurunkan kapitalisasi bank.

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The aim of this paper is to analyze how loan diversification affects credit risk, efficiency, and capitalization of commercial banks. Employing panel data from 20 conventional commercial banks listed in Indonesia Stock Exchange during year 2007-2011, this research was conducted using Fixed-Effect Model and Random- Effect Model. Result obtained from the research showed that loan diversification positively significant affects credit risk and bank efficiency, and negatively significant affects bank capitalization. It implies that loan diversification increase the risk faced by banks, increase bank efficiency, and decrease bank capitalization."

"Penelitian ini bertujuan untuk mengetahui pengaruh tingkat persaingan bank terhadap risiko sistemik pada perbankan publik di Indonesia untuk periode 2010-2014. Dengan menggunakan metode Lerner Index sebagai pengukuran tingkat persaingan bank dan metode Merton?s distance-to-default sebagai pengukuran risiko sistemik, menunjukan tingkat persaingan individual bank secara signifikan berpengaruh negatif terhadap risiko sistemik perbankan Indonesia. Semakin rendah tingkat konsentrasi pasar perbankan akan menurunkan tingkat risiko sistemik. Tingginya tingkat persaingan bank akan membuat bank-bank untuk mendiversifikasikan risiko-risikonya sehingga menyebabkan sistem perbankan semakin kokoh.

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The objective of this research is to determine the effect of bank degree of competitiveness on systemic risk of public banks in Indonesia during 2010-2014. Using Lerner Index to measure bank degree of competitiveness and Merton's distance-to-default to measure systemic risk, show a significant negative relationship between bank degree of competitiveness and systemic risk. The less concentrated of banking market cause reduction on systemic risk. The greater bank degree of competitiveness encourages banks to take on more diversified risks, making the banking system less fragile."