scholarly journals The effect of loan granted factor on peer-to-peer lending (funded loan) in Indonesia

2020 ◽  
Vol 17 (4) ◽  
pp. 165-174
Author(s):  
Fajri Kurniawan ◽  
Chandra Wijaya
Keyword(s):  
Logistic Regression ◽  
Interest Rate ◽  
Financial Services ◽  
Binary Logistic Regression ◽  
Peer To Peer ◽  
Funding Decision ◽  
Significance Level ◽  
Peer Lending ◽  
And Gender ◽  
Loan Amount

This study aims to determine whether the loan granted factor can affect peer-to-peer lending in Indonesia. The factors investigated in this research are the loan amount, loan period, interest rate, gender, and loan history using the data from registered and licensed peer-to-peer lending by the Financial Services Authority or Otoritas Jasa Keuangan (OJK) on November 2019. By examining 1,006 loans, the analytical method used is binary logistic regression with a significance level of alpha 0.05. The results of this research are loan amount, loan period, and loan history have the strongest impact on borrowers’ loan funding decision, suggesting that these loan characteristics can signal information that standard measures are used for loan funding. However, interest rate and gender have no significant effect on loan granted. Overall, loan funding decisions are based on proper and relevant signals given by loan characteristics.

scholarly journals PROSPEK GAGAL SUKSES PINJAMAN UMKM MELALUI PEER-TO-PEER LENDING PADA LENDINGCLUB

2019 ◽  
Vol 24 (1) ◽  
pp. 21
Author(s):  
Wibi Andriansyah ◽  
Agung Winarno
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Financial Services ◽  
Peer To Peer ◽  
Income Ratio ◽  
Negative Effect ◽  
Peer Lending ◽  
Lending Activity ◽  
Revolving Credit

Peer-to-peer lending as an innovation of financial services is a genuine opportunity for SMEs who are experiencing difficulties in accessing loans to formal financial institutions. The asymmetric information issue on peer-to-peer lending activity can lead to a credit risk that may cause a default loan. This research is a kind of associative research with the form of causal relationship. the purpose of this study is to determine the factors that influence the success of SMEs loans on Peer to peer lending activities. Samples obtained from the LendingClub platform using purposive sampling method. Analysis In this study using logistic regression analysis. Based on logistic regression analysis, it is found that loan amount, loan term, debt-to- income ratio, delinquency in last 2 year, inquiries in the last 6 month, and revolving credit utilization have a significant negative effect on the success of the loan. while annual income is not significant effect on the success of the loan.

scholarly journals Predicting Student’s Campus Placement Probability using Binary Logistic Regression

2019 ◽  
Vol 8 (9) ◽  
pp. 2633-2635 ◽  
Keyword(s):  
Logistic Regression ◽  
Andhra Pradesh ◽  
Technical Education ◽  
Binary Logistic Regression ◽  
Educational Institutions ◽  
Review Of Literature ◽  
High Concentration ◽  
Binary Logistic Regression Model ◽  
Track Record ◽  
And Gender

Students aspiring for technical education generally select educational institutions with good track record in campus placements. Many a times the reputation of such institute is determined by the pay packages offered by recruiters to its students. In this context it is pertinent to investigate and identify those factors that may influence the student campus placement chances in technical education. The State of Andhra Pradesh which has a high concentration of technical education institutes was chosen as the study area. A careful review of literature lead to the identification of six hypothetical determinants of student campus placement in technical education. A random sample 250 MBA student’s placement data were gathered from different institutes and six predictor binary logistic regression model was fitted to the data to estimate the odds for the student campus placement. Estimated Results of the study indicate that the chances of campus placement is influenced by four predictors: CGPA, Specialization in PG, Specialization in UG and Gender.

scholarly journals An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending

2021 ◽  
Vol 39 (1) ◽  
pp. 163-197
Author(s):  
Aneta Dzik-Walczak ◽  
Mateusz Heba
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Logistic Regression ◽  
Regression Model ◽  
Financial Institutions ◽  
Logistic Regression Model ◽  
Credit Scoring ◽  
Peer To Peer ◽  
Ensemble Model ◽  
Peer Lending

Credit scoring has become an important issue because competition among financial institutions is intense and even a small improvement in predictive accuracy can result in significant savings. Financial institutions are looking for optimal strategies using credit scoring models. Therefore, credit scoring tools are extensively studied. As a result, various parametric statistical methods, non-parametric statistical tools and soft computing approaches have been developed to improve the accuracy of credit scoring models. In this paper, different approaches are used to classify customers into those who repay the loan and those who default on a loan. The purpose of this study is to investigate the performance of two credit scoring techniques, the logistic regression model estimated on categorized variables modified with the use of WOE (Weight of Evidence) transformation, and neural networks. We also combine multiple classifiers and test whether ensemble learning has better performance. To evaluate the feasibility and effectiveness of these methods, the analysis is performed on Lending Club data. In addition, we investigate Peer-to-peer lending, also called social lending. From the results, it can be concluded that the logistic regression model can provide better performance than neural networks. The proposed ensemble model (a combination of logistic regression and neural network by averaging the probabilities obtained from both models) has higher AUC, Gini coefficient and Kolmogorov-Smirnov statistics compared to other models. Therefore, we can conclude that the ensemble model allows to successfully reduce the potential risks of losses due to misclassification costs.

scholarly journals Relevansi Informasi Laporan Keuangan Accrual Basis: Kemampuan Rasio Keuangan Dalam Memprediksi Status Financial Distress Pemerintah Daerah Kabupaten Dan Kota Se- Indonesia Periode 2015-2017

2019 ◽  
Vol 1 (2) ◽  
pp. 795-813
Author(s):  
Waninda Waninda ◽  
Fefri Indra Arza
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Financial Distress ◽  
Binary Logistic Regression ◽  
City Government ◽  
Performance Ratio ◽  
Binary Logistic Regression Analysis ◽  
Regional Government ◽  
Significance Level

This study aims to predict the financial distress status of district and city governments in Indonesia. Research examines the relevance of financial statement information consisting of profitability ratio, liquidity ratio, performance ratio and capital stress ratio in predicting district and city government financial distress in Indonesia in 2015-2017. This study uses agency theory. The sampling method in this study used purposive sampling. This study consisted of 134 samples of districts / cities in Indonesia, the financial data used in the study were audited regional government financial reports, namely reports on audit results for 2015-2017. The type of data used is secondary data. The analysis used is binary logistic regression analysis. Based on the results of binary logistic regression analysis with a significance level of 5%, that of the four types of ratios measured using fourteen measurements obtained results (1) Profitability ratio as measured by profit margin ratio affects financial distress with an β coefficient of 51,548 and a significance value of 0,000 < 0.05, (2) The performance ratio measured by operating revenue to total revenue has an effect on financial distress with an β coefficient of -41.180 and a significance value of 0.015> 0.05, and a depreciation ratio influences financial distress with an β coefficient of 40.004 and a value significance of 0.004 <0.05

scholarly journals Pengawasan Dalam Kerja Sama Bank Umum dan Penyelenggara Layanan Pinjam Meminjam Uang Berbasis Teknologi Informasi

2021 ◽  
Vol 4 (6) ◽  
pp. 2397
Author(s):  
Nabilla Virnanda Lobo
Keyword(s):  
Information Technology ◽  
Financial Services ◽  
Commercial Banks ◽  
Service Providers ◽  
Peer To Peer ◽  
Reciprocal Relationship ◽  
Regulatory Agencies ◽  
Conceptual Approach ◽  
Supervisory Authority ◽  
Peer Lending

AbstractPartnership is a collaboration between one party and another, where each party plays its respective roles in a reciprocal relationship that benefits each party. This research will discuss the characteristics of the forms of cooperation between commercial banks and information technology-based lending and borrowing service providers (fintech peer-to-peer lending) and then discusses the supervision of regulatory agencies on cooperation in the financial sector. This research is a doctrinal research using a statute approach and a conceptual approach to obtain a clearer picture. The result of this research is that credit distribution cooperation is carried out by taking into account the provisions regarding information technology-based lending and borrowing services while retail investment sales cooperation and non-performing loan management cooperation are carried out by taking into account the provisions concerning banks and / or commercial banks as in the cooperation. commercial banks. The supervisory authority lies with the Financial Services Authority. Keywords: Fintech P2PL; Commercial Banks; OJK.AbstrakPartnership adalah kerja sama antara satu pihak dengan pihak lainnya dimana masing-masing pihak menjalankan perannya masing-masing dalam hubungan timbal balik yang memberikan keuntungan kepada masing-masing pihak. Dalam penelitian ini akan dibahas mengenai karakteristik bentuk-bentuk kerja sama antara bank umum dengan penyelenggara layanan pinjam meminjam berbasis teknologi informasi (fintech peer-to-peer lending) kemudian membahas mengenai pengawasan lembaga otoritas terhadap kerja sama dalam sektor keuangan tersebut. Penelitian ini merupakan penelitian doctrinal research dengan menggunakan pendekatan perundang-undangan (statute approach) dan pendekatan konseptual (conceptual approach) untuk memperoleh gambaran yang lebih jelas. Hasil dalam penelitian ini yaitu kerja sama penyaluran kredit dilaksanakan dengan memperhatikan ketentuan mengenai layanan pinjam meminjam uang berbasis teknologi informasi sedangkan kerja sama penjualan investasi ritel dan kerja sama pengelolaan non-performing loan dilaksanakan dengan memperhatikan ketentuan mengenai bank dan/atau bank umum sebagaimana dalam kerja sama bank umum. Adapun kewenangan pengawasan berada di Otoritas Jasa Keuangan.Kata Kunci: Fintech P2PL; Bank Umum; OJK.

Perlindungan Hukum Pengguna Layanan Teknologi Finansial (Financial Technology) Pinjam Meminjam Uang Berbasis Teknologi Informasi (Peer To Peer Lending)

2020 ◽  
Vol 20 (1) ◽  
pp. 63-82
Author(s):  
Nurasiah Harahap
Keyword(s):  
Information Technology ◽  
Financial Services ◽  
Legal Protection ◽  
Field Research ◽  
Secondary Data ◽  
Peer To Peer ◽  
Library Research ◽  
Technology Service ◽  
Peer Lending ◽  
Financial Technology

Financial Technology is the implementation and utilization of technology to improve banking and financial services which are generally carried out by startup companies by utilizing the latest software, internet, communication and computing technologies.The research conducted was juridical empirical and normative juridical research, namely field research with interviews as a basis for problem solving and analyzing statutory regulations. The data used are primary and secondary data, then the data collection methods used in this study are library research and field research. The data analysis used is a qualitative method.The results show that the legal protection of users of the Financial Technology (Financial Technology) service of borrowing and borrowing money based on information technology (Peer to Peer Lending) has been carried out by the Financial Services Authority (OJK) and its staff by means of supervision, examination and investigation based on the Financial Services Authority Regulation No. 77 / POJK.01 / 2016 concerning Information Technology-Based Lending and Borrowing Services.The conclusion is that the legal protection of users of the Financial Technology (Financial Technology) service of lending and borrowing money based on information technology (Peer to Peer Lending) can be realized in a preventive and repressive manner. Basically, the Operator does not have direct legal consequences that make risk transfer to the Operator. Keywords: Financial Technology, Peer to Peer Lending, Legal Protection for Users / Consumers.

ASPEK HUKUM PEER TO PEER LENDING (Identifikasi Permasalahan Hukum dan Mekanisme Penyelesaian)

2020 ◽  
Vol 8 (1) ◽  
pp. 151
Author(s):  
Windy Sonya Novita ◽  
Moch. Najib Imanullah
Keyword(s):  
Financial Services ◽  
Secondary Data ◽  
Legal Aspects ◽  
Peer To Peer ◽  
Financial Service ◽  
Research Approach ◽  
Legal Research ◽  
Financial Service Authority ◽  
Peer Lending ◽  
Teleological Interpretation

<p>Abstract<br />This article aims to describe and analyze the legal aspects of Peer to Peer Lending related to legal issues and settlement mechanism. This type of research is prescriptive normative legal research. This type of research is normative legal research that is prescriptive. The research approach used is vertical and horizontal synchronization level approach. The type of data used in this study is secondary data covering primary, secondary and tertiary legal materials. Data collection techniques used are by study of documents or library materials. Furthermore, the analysis technique used legal material analysis with teleological interpretation methods. Based on this research, the results show that the implementation of Peer to Peer Lending founds several problems including the risk of high interest so that many borrowers fail to pay and improper billing methods. Basically Financial Services Authority has regulated the preventation the risk of Peer to Peer Lending in several rules in Financial Service Authority Regulations Number 77/POJK.07/2016 and Financial Service Authority Regulations Number 18/POJK.07/2018 as guidelines for consumers regarding the complaints service mechanism and its resolution.<br />Keywords: peer to peer lending; risk; consumer complaints service</p><p>Abstrak<br />Artikel ini bertujuan untuk mendeskripsikan dan menganalisis mengenai aspek hukum dalam Peer to Peer Lending berkaitan dengan permasalahan hukum yang timbul serta mekanisme penyelesaiannya. Jenis penelitian ini adalah penelitian hukum normatif yang bersifat preskriptif. Pendekatan penelitian yang digunakan adalah pendekatan taraf sinkronisasi vertikal dan horizontal. Jenis data yang digunakan dalam penelitian ini merupakan data sekunder meliputi bahan hukum primer dan sekunder. Teknik pengumpulan data yang digunakan adalah dengan studi dokumen atau bahan pustaka. Selanjutnya teknik yang digunakan dalam penelitian ini adalah dengan menggunakan analisis bahan hukum dengan metode penafsiran teleologis. Berdasarkan penelitian ini diperoleh hasil bahwa dalam pelaksanaannya Peer to Peer Lending menemukan beberapa permasalahan, diantaranya risiko tarif bunga yang tinggi  sehingga banyak Penerima Pinjaman yang gagal bayar dan cara-cara penagihan yang tidak patut. Pada  dasarnya OJK sudah mengatur mengenai pencegahan risiko P2P Lending dalam beberapa ketentuan yang terdapat dalam POJK Nomor 77/POJK.07/2016 dan POJK Nomor 18/POJK.07/2018 sebagai pedoman bagi konsumen mengenai mekanisme layanan pengaduan konsumen dan penyelesaiannya.<br />Kata Kunci: peer to peer lending; risiko; layanan pengaduan konsumen</p>

PERAN OTORITAS JASA KEUANGAN CIREBON PADA PERLINDUNGAN KONSUMEN FINANCIAL TECHNOLOGY LENDING

2021 ◽  
Vol 3 (1) ◽  
pp. 1-22
Author(s):  
Syaeful Bakhri ◽  
Layaman Layaman ◽  
Muh Iqbal Alfan
Keyword(s):  
Data Collection ◽  
Consumer Protection ◽  
Financial Services ◽  
Peer To Peer ◽  
Triangulation Method ◽  
Peer Lending ◽  
The Government ◽  
Financial Technology

The Financial Services Authority (itself is an institution that is independent and free from interference from other parties, which has the functions, duties and authority of regulation, supervision, inspection and investigation. Consumers themselves are one of the unimportant in running their business. From the government, they act really how to support customers with challenges faced by consumers, in terms of consumer financial services protection, the Financial Services Authority (OJK) and the government's extension of the peer to peer lending. The method used in this research is qualitative by using normative juridical. Data collection techniques were carried out using the triangulation method with observation, interviews and documentation. The efforts of the financial authorities related to consumer protection are already good with SATGAS Investment Alert, fintech emergency numbers, but it is still has not been maximized and needs to be increased again. The community itself still believes that applications with four or more stars and good reviews are official applications.

Peer-to-peer lending platforms: securities law considerations

2015 ◽  
Vol 16 (3) ◽  
pp. 15-18 ◽  
Author(s):  
Robert H. Rosenblum ◽  
Susan A. Gault-Brown ◽  
Amy B. Caiazza
Keyword(s):  
Financial Services ◽  
Business Models ◽  
Regulatory Compliance ◽  
Peer To Peer ◽  
Content Type ◽  
Public Offerings ◽  
Consumer Privacy ◽  
Peer Lending ◽  
Investment Advisers ◽  
Securities Laws

Purpose – To provide an overview of the basic model used by many peer-to-peer lending platforms and some of the key peer lending regulatory and structuring considerations under the federal securities laws. Design/methodology/approach – Explains how the basic peer lending model works, how “borrower dependent notes” or “BDNs” may be offered in private placements or less commonly through public offerings, how companies engaged in peer lending are compensated, how sponsors of peer lending programs generally avoid registration as broker-dealers under the Securities Exchange Act of 1934, as investment advisers under the Investment Advisers Act of 1940 and as investment companies under the Investment Company Act of 1940, and how peer lending platforms are structured to take into account the laws that govern online transactions, consumer privacy, and other related issues. Findings – The authors expect that peer-to-peer lending platforms will continue to mature and evolve, and they expect that the issues discussed in this article will continue to drive their structuring decisions, business models, and regulatory compliance under the federal securities laws. Originality/value – Practical guidance from experienced financial services lawyers.

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