Hasil Pencarian  ::  Simpan CSV :: Kembali

"Selama masa pandemi covid-19, banyak sektor ekonomi terdampak penyebaran pandemi covid-19 termasuk perbankan. Penelitian ini mencoba untuk meneliti dampak pandemi, faktor spesifik banks dan faktor makroekonomi terhadap stabilitas bank umum konvensional yang terdaftar di Bursa Efek Indonesia. Fator spesifik bank pada penelitian ini berfokus pada ukuran bank dan rasio kecukupan modal sebagai variabel independen. Adapun faktor makroekonomi pada penelitian ini adalah tingkat pertumbuhan domestik bruto (PDB). Sedangkan dampak pandemi covid-19 dikuantifikasi dengan variabel dummy. Penelitian ini menggunakan model penelitian regresi data panel dengan menggunakan data yang berasal dari laporan keuangan Bank Umum Konvensional yang terdaftar di Bursa Efek Indonesia pada periode 2018-2021. Penelitian ini menemukan bahwa stabilitas bank secara signifikan lebih rendah pada periode pandemi dibandingkan sebelum pandemi. Adapun penelitian juga menyimpulkan bahwa rasio kecukupan modal, dan ukuran bank berpengaruh positif signifikan terhadap stabilitas bank. Sedangkan pertumbuhan PDB cenderung berkorelasi negatif terhadap stabilitas bank. Diharapkan pada penelitian selanjutnya dapat memperbanyak sampel penelitian dan dapat melakukan analisis yang lebih mendalam terkait dampak pandemi covid-19 terhadap stabilitas bank.

---

During the Covid-19 pandemic, many economic sectors were affected by the spread of the Covid-19, including banking. This research attempts to examine the impact of the pandemic, bank’s specific factors and macroeconomic factors on the stability of conventional commercial banks listed on the Indonesia Stock Exchange. The bank’s specific factors in this study focus on bank size and capital adequacy ratio as independent variables that affect bank stability. The macroeconomic factor in this study is the gross domestic product (GDP) growth rate. Meanwhile, the impact of the Covid-19 pandemic is quantified using a dummy variable. This study uses a panel data regression research model on the data from financial statements of Conventional Commercial Banks listed on the Indonesia Stock Exchange in 2018-2021. This study finds that bank’s stability in pandemic period is significantly lower than before pandemic period. This study also finds that capital adequacy ratio, and bank’s size have a significant positive effect on bank stability. Meanwhile GDP growth has significant negative effects on bank stability. Hopefully the future research can increase the number of research samples and conduct a more in-depth analysis regarding the impact of the COVID-19 pandemic on bank stability."

"Perbankan menjadi salah satu industri penggerak roda perekonomian Indonesia. Kondisi keuangan bank menjadi salah satu hal yang perlu diperhatikan untuk keamanan pelayanan bank. Profitabilitas bank menjadi salah satu tolak ukur kondisi kesehatan bank. Penelitian ini dilakukan untuk melihat faktor apa saja yang paling berpengaruh terhadap profitabilitas perbankan Indonesia, diantara bank-specific, industry-specific dan macroeconomy. Penelitian ini menggunakan data sekunder dari 24 bank umum yang tercatat di BEI periode 2008-2017. Metode analisis yang digunakan oleh peneliti adalah analisis statistik deskriptif dan regresi data panel dengan fixed effect model. Hasil penelitian ini menunjukkan bahwa pengaruh untuk masing variabel independen yaitu SIZE, CAR, NPL, LDR, BOPO, BSD, SMD, GDP, INR, dan INFL berbeda-beda terhadap variabel dependen yaitu ROA, ROE, dan NIM pada studi di perbankan umum yang tercatat di Bursa Efek Indonesia 2008-2017.

---

Banking is one of the main industries which lead the economy moving in Indonesia. Bank’s financial position becomes one of the factors that need to be paid attention to the safety services for the bank itself. Bank Profitability becomes one of the factors to check the bank health condition. This research is conducted to see what kind of factors that have the biggest impact on banking in Indonesia, between bank-specific, industry-specific and macroeconomy. This research used secondary data from 24 general banks that recorded in BEI period 2008-2017. The analysis method which used by researcher is descriptive statistic analysis and regression panel data with fixed effect model. The result of this research shows that in Indonesia every independent variables likes SIZE, CAR, NPL, LDR, BOPO, BSD, SMD, GDP, INR, and INFL have different influence for every variables dependent likes ROA, ROE and NIM in Listed Public Banks in Indonesia Stock Exchange Period 2008-2017. "

"Tesis ini membahas dua masalah yaitu: (i) apakah CAR, BOPO, NPL, dan FBI berpengaruh signifikan terhadap ROA bank umum di Indonesia sepanjang 2005-2011 dan (ii) apakah ROA bank umum sepanjang 2005-2011 dipengaruhi oleh konsentrasi (Structure Conduct Performace/SCP) atau efisiensi (Hypothesis Efficiency/HE). Masalah kedua dijawab dengan menampilkan variabel PAset, PDPK, dan PKrd sebagai proksi kosentrasi pasar dan BOPO mewakili sisi efisiensi. Dengan sampel 111 bank umum dan teknik estimasi data panel berupa metode Fixed Effect disimpulkan bahwa (i) CAR dan FIB berpengaruh signifikan (positif) dan NPL dan BOPO berpengaruh signifikan (negatif) dan (ii) PDPK tidak signifikan berpengaruh terhadap ROA sehingga struktur industri perbankan Indonesia mengarah pada HE.Implikasi kebijakan penelitian ini adalah: (i) Bank Indonesia harus mendorong bank meningkatkan permodalannya terutama pada Tier 1 dan bertahap menyesuaikannya dengan Basel III, (ii) bank perlu memelihara Penyisihan Penghapusan Aktiva Produktif (PPAP) untuk mengendalikan kredit macet dan merumuskan PPAP menurut jenis kredit, sektoral, regional, dan searah dengan siklus bisnis, (iii) bank harus memperbaiki sisi efisiensi bukan berfokus pada pencapaian pangsa pasar DPK. Efisiensi dilakukan dengan meningkatkan investasi teknologi informasi serta penyederhanaan struktur organisasi bank dan (iv) regulator perbankan dapat mempertimbangkan FBI sebagai salah satu ukuran tingkat kesehatan bank di Indonesia.

---

This thesis analyzes two problems: (i) do CAR, BOPO, NPL, and FBI significantly impact to ROA of commercial bank in Indonesia during 2005-2011; and (ii) do commercial bank in Indonesia during 2005-2011 were influenced by the concentration (Structured Conduct Performance/SCP) or efficiency factor (Efficiency Hypothesis/HE). To solve the second question, this study shows PAset, PDPK, and PKrd as the proxy of concentration, BOPO represents efficiency proxy. By using the sample from 111 commercial bank and panel data as estimation technique with Fixed Effect method, it concludes: (i) CAR and FIB significantly and positively influence ROA, in the other hand, NPL and BOPO significantly and negatively influence ROA; (ii) PDPK doesn`t influence ROA, it means Indonesia`s bank structure is efficiency hypothesis.

Policy implications of this research are: (i) Bank Indonesia should encourage bank to increase Tier equity 1 and gradually adjust to Basel III, (ii) bank need to maintain Provision for Loan Losses (PPAP) to control NPL and formulate its based on type of credit, sector, regional and direction of the business cycle, (iii) bank should improve efficiency instead of focus on the achievement of market share in deposit. Efficiency will be achieved by increase investment in the information technology and simplification of the organizational structure of the bank, (iv) the banking regulator may consider FBI as a measurement of the soundness of the bank in Indonesia."

"Penelitian ini bertujuan untuk mengetahui pengaruh faktor spesifik bank dan makroekonomi terhadap likuiditas bank umum konvensional yang terdaftar di BEI pada periode 2012-2016. Variabel yang mewakili faktor spesifik bank dalam penelitian ini adalah rasio profitabilitas return on asset ROA, cost of funding, bank size, deposits, dan Capital Adequacy Ratio CAR . Faktor makroekonomi yang diuji adalah inflasi, tingkat pengangguran dan GDP. Pengujian dilakukan dengan model regresi data panel dengan metode random effect dengan estimator generalized least square GLS. Hasil regresi yang dilakukan, menemukan bahwa ROA dan bank size berpengaruh positif namun tidak signifikan terhadap likuiditas bank. Kemudian cosf of fund, deposits, CAR dan GDP berpengaruh positif signifikan terhadap likuiditas bank. Selanjutnya variabel inflasi dan tingkat pengangguran berpengaruh negatif dan tidak signifikan terhadap likuiditas bank.

---

This study aims to determine the effect of bank specific and macroeconomic factors on the liquidity of conventional commercial banks listed on the IDX in the period 2012 2016. The variables that represent bank specific factors in this research are profitability ratio of return on asset ROA , cost of funding, bank size, deposits, and Capital Adequacy Ratio CAR. The macroeconomic factors tested were inflation, unemployment and GDP. This study using panel data with random effect methods generalized least square estimator to test the model. The result of this research found that ROA and bank size have positive but not significant effect to bank liquidity. Then cosf of fund, deposits, CAR and GDP have a significant positive effect on bank liquidity. Furthermore, the variables of inflation and unemployment rate have a negative and insignificant effect on bank liquidity."

"Skripsi ini membahas bagaimana pengaruh antara faktor spesifik bank dan faktor makro ekonomi dengan likuiditas bank pada Bank umum di Indonesia dengan periode penelitian 2011-2015. Dari hasil penelitian didapatkan bahwa tingkat profitabilitas bank, unemployement rate dan GDP tidak memiliki pengaruh yang signifikan terhadap likuiditas bank. Hasil penelitian juga menunjukan bahwa funding cost, bank size, deposit dan CAR memiliki hubungan positif dan signifikan terhadap likuiditas bank.

---

This thesis discusses how the relatioship between bank specific factors and macroeconomic factors with bank liquidity at commercial banks in Indonesia with the study period 2011 2015. From the results of the study found that the level of bank profitability, unemployement rate and GDP has no significant effect on bank liquidity. The results also show that funding cost, bank size, deposit and CAR have positive and significant correlation to bank liquidity."

"Penelitian ini meneliti pengaruh faktor makroekonomi; yaitu perubahan GDP, perubahan real lending rate (BI rate), dan perubahan sovereign debt to GDP; dan pengaruh faktor spesifik bank, yaitu bad management, skimping, diversification opportunity, too big to fail, bad management II, procyclical credit policy, tight control terhadap perubahan NPL di Indonesia. Observasi dilakukan terhadap 105 bank umum yang diakui oleh BI di Indonesia selama kurun waktu 2003-2011 secara kuartal. Data yang digunakan merupakan data panel yang bersumber dari Datastream, Eikon, dan laporan keuangan perusahaan. Dengan menggunakan model estimasi First Difference Generalized Method of Moment (GMM), didapatkan hasil bahwa perubahan GDP, perubahan sovereign debt to GDP, skimping, diversification opportunity, bad management II, dan tight control (untuk ownership concentration lebih dari 25% hingga 50%) secara signifikan berpengaruh negatif terhadap perubahan NPL. Di sisi lain perubahan real lending rate (BI rate), too big to fail, dan tight control (untuk ownership concentration lebih dari 10% hingga 25% dan lebih dari 50%) secara signifikan berpengaruh positif terhadap perubahan NPL. Sedangkan bad management dan procyclical credit policy tidak secara signifikan berpengaruh terhadap perubahan NPL.

---

This research examines the effect of macroeconomic factors, such as GDP growth, real lending rate (BI rate) growth, and change in sovereign debt to GDP; and the effect of bank-specific factors, such as bad management, skimping, diversification opportunity, too big to fail, bad management II, procyclical credit policy, tight control to the change of NPL in Indonesia. Observation is done to 105 bank in Indonesia within period of 2003-2011. By using panel data of macroeconomic and bank-specific factors from Datastream, Eikon, and financial report. By using First Difference Generalized Method of Moment (GMM) estimation model, research finds that GDP growth, change in sovereign debt to GDP, skimping, diversification, bad management II, dan tight control (for ownership concentration more than 25% until 50%) has negative effect on the change in NPL. In other side, real lending rate (BI rate) growth, too big to fail, and tight control (for ownership concentration more than 10% until 25% and more than 50%) has positive effect on the change in NPL. It also discovers that bad management and procyclical credit policy has no effect on the change in NPL."

"Penelitian ini bertujuan untuk menganalisis pengaruh faktor makroekonomi dan faktor spesifik bank terhadap Non-Performing Loans (NPL) pada bank di Indonesia selama periode 2014-2023. Data mencakup 42 bank umum konvensional terbuka dengan total 1680 observasi. Penelitian ini menggunakan metode fixed-effect model dan random- effect model. Penelitian ini menggunakan dua model. Model pertama menggunakan real interest rate sebagai faktor makroekonomi dan income diversification, capital adequacy ratio, operating inefficiency (BOPO), credit growth, bank profitability (ROA), dan bank size sebagai faktor spesifik bank. Pada model kedua, terdapat dua variabel tambahan yaitu long-term debt dan short-term debt yang bertujuan untuk melihat efek dari perubahan kondisi ekonomi makro melalui pinjaman terhadap NPL. Hasil penelitian menunjukkan bahwa faktor makroekonomi, yang diukur menggunakan real interest rate berdampak dalam menurunkan NPL secara signifikan. Untuk faktor spesifik bank, ditemukan bahwa income diversification, operating inefficiency, dan credit growth memiliki pengaruh positif dan signifikan terhadap NPL. Sebaliknya, capital adequacy ratio, pada model pertama menunjukkan pengaruh negatif dan signifikan terhadap NPL, sementara pada model kedua pengaruh tersebut negatif namun tidak signifikan. Faktor bank spesifik lain seperti bank size dan short-term debt mengakibatkan penurunan yang signifikan pada NPL. Selain itu, return on asset, long-term debt, dan periode COVID (sebagai variabel kontrol) juga menurunkan NPL namun tidak signifikan.

---

This study aims to analyze the influence of macroeconomic factors and bank- specific factors on Non-Performing Loans (NPL) in banks in Indonesia during the period 2014-2023. The data includes 42 publicly listed conventional commercial banks with a total of 1680 observations. This study employs fixed-effect and random-effect models. The study utilizes two models. The first model uses the real interest rate as a macroeconomic factor and income diversification, capital adequacy ratio, operating inefficiency (BOPO), credit growth, bank profitability (ROA), and bank size as bank- specific factors. In the second model, two additional variables are included, namely long- term debt and short-term debt, aiming to observe the effect of changes in macroeconomic conditions through loans on NPL. The results show that the macroeconomic factor, measured using the real interest rate, significantly reduces NPL. For bank-specific factors, it was found that income diversification, operating inefficiency, and credit growth have a positive and significant influence on NPL. Conversely, the capital adequacy ratio in the first model significantly reduced NPL, while in the second model, this effect is not significant. Other bank-specific factors, such as bank size and short-term debt, result in a significant reduction in NPL. Additionally, return on assets, long-term debt, and the COVID period (as a control variable) also reduce NPL but not significant."