An Approach to Developing a Scoring System for Peer-to-Peer (p2p) Lending Platform

2019 ◽  
pp. 347-357
Author(s):  
Alexander Agapitov ◽  
Irina Lakman ◽  
Zoya Maksimenko ◽  
Natalia Efimenko
Keyword(s):  
Scoring System ◽  
Peer To Peer ◽  
P2p Lending

PERLINDUNGAN DATA PRIBADI PENERIMA PINJAMAN DALAM TRANSAKSI PINJAM MEMINJAM UANG BERBASIS TEKNOLOGI INFORMASI (PEER TO PEER LENDING)

2021 ◽  
Vol 50 (4) ◽  
pp. 789
Author(s):  
Hendrawan Agusta
Keyword(s):  
Peer To Peer ◽  
P2p Lending ◽  
Peer Lending ◽  
Financial Technology

Perkembangan teknologi informasi sangat pesat, adanya kolaborasi antara teknologi informasi dengan berbagai bidang kehidupan melahirkan berbagai macam inovasi yang membuat kehidupan masyarakat semakin mudah. Inovasi di bidang teknologi informasi melahirkan model bisnis baru yang pada gilirannya mampu menghasilkan efisiensi bagi masyarakat. Revolusi teknologi informasi tersebut terus berkembang dan sekarang memasuki bidang keuangan yang regulasinya ketat. Kolaborasi antara teknologi informasi dengan bidang keuangan melahirkan Teknologi Finansial atau Financial Technology (Fintech), salah satunya pinjam-meminjam uang berbasis teknologi informasi (Peer to Peer Lending/P2P Lending). Masyarakat menjadi lebih mudah mengakses kebutuhan keuangannya melalui P2P Lending. Di sisi lain, muncul tantangan dalam P2P Lending mengenai perlindungan data (data pribadi, data transaksi dan data keuangan). Dalam penelitian ini yang akan dibahas hanya data pribadi Penerima Pinjaman, dimana data pribadi tersebut perlu dilindungi agar tidak terjadi penyalahgunaan yang menimbulkan permasalahan hukum

scholarly journals Fintech Based Peer-too-peer (P2P) Lending : A Perspective of MSMEs In the New Normal Era of Pandemic Covid-19

2021 ◽  
Vol 5 (1) ◽  
pp. 26-46
Author(s):  
Tuti Zakiyah
Keyword(s):  
Sampling Method ◽  
Peer To Peer ◽  
Survey Method ◽  
Data Collection Tool ◽  
New Normal ◽  
Central Java ◽  
Inner Model ◽  
P2p Lending ◽  
R Value

The purpose of this research is to find out the role of Fintech Peer to Peer (P2P) lending based on the perception in the new normal era of Covid-19 as a financial inclusion for the recovery of the MSME financial sector. The population of this research is MSMEs in Central Java and East Java Provinces. The survey method was carried out by collecting data using a questionnaire as a data collection tool. In addition, researchers also use purposive sampling method to determine the sample. The analysis hypothesis is used the outer model and EViews 10 for the evaluation of the inner model. The results of this study are that peer to peer  lending together has a significant effect on the interests of MSME actors in East Java in The New Normal Era of the Covid-19, this is also supported by the Adjevtive R value which shows the number 87%.

scholarly journals Internet finance: Digital currencies and alternative finance liberating the capital markets

2015 ◽  
Vol 4 (4) ◽  
pp. 190-201 ◽  
Author(s):  
Kim Wales
Keyword(s):  
Capital Markets ◽  
Financial Services ◽  
Global Economy ◽  
Industrial Revolution ◽  
Peer To Peer ◽  
Agricultural Revolution ◽  
Internet Finance ◽  
P2p Lending ◽  
Conducting Wire ◽  
Alternative Finance

This article discusses how the sudden shift in policy reform and innovation has the potential to liberate the financial markets. The economic potential of internet finance is beginning to take hold across the capital markets as industries like Peer – to – Peer Lending, Equity and Debt based Crowdfunding and virtual currencies and cryptocurrencies which are types of digital currency are quickly transforming the way businesses are being financed. From borrowing and lending, buying and selling securities, to conducting wire transfers internationally, these innovations are creating a new class and generation of investors will source investments opportunities. Helping institutions and governments assess risks and manage performance in order to determine where to deploy capital; and showing signs of lessening the inequality gap. Following the neolithic agricultural revolution and the industrial revolution, this new revolution will enable more people to access financial services in less traditional ways, especially the unbanked world with its huge potential. These new financial opportunities, such as peer – to - peer (P2P) lending, will be discussed and examined, and we will stress how they can allow people to bypass current barriers in the global economy. We conclude by arguing that all these developments, energized by the efforts of innovators and entrepreneurs, have the potential to radically transform the world in which we live, while promoting the core values of industrialized societies including democracy, capital formation, sustainability, and equality without solely relying on tax increases.

Legal protection for Provider in Peer to Peer Lending: an Example from Indonesian Regulation

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Trinas Dewi Hariyana
Keyword(s):  
Risk Management ◽  
Legal Protection ◽  
Peer To Peer ◽  
Bank Credit ◽  
Legal Certainty ◽  
P2p Lending ◽  
Credit Agreement ◽  
Dispute Resolution Mechanism ◽  
Settlement Mechanism ◽  
Financial Technology

The Financial Technology peer to peer (P2P) lending concept still finds many weaknesses, especially in terms of legal protection for parties and risk management from Fintech itself. P2P Lending Regulation in Indonesia currently uses POJK No. 77 / POJK / 2016 concerning technology-based money lending and borrowing services. The position of Fintech P2P lending is similar to a bank, but the concept is a different agreement. Fintech P2P lending funds can come from investors or funders or cooperate with legal entities or banks. Considering that the risk posed by Fintech P2P lending is very large, Fintech must also implement consumer protection, risk management and prudential principles like a bank credit agreement so as to cover the risk of bad credit, the Fintech platform uses other means to protect funds from investors or investors. the other is with the protection fund as done by the Coin works platform. The protection fund does not cover the entire fund invested by the funder, depending on the availability of protection funds and the amount of credit that is experiencing congestion. The POJK regulation in article 19 describes the agreement clause which must contain the dispute resolution mechanism and the settlement mechanism if the implementation of lending and borrowing services is not able to continue operations, so that with the rules related to the clause it is expected that the funder will still get legal certainty and protection for funds.

Development of Financial Technology With Reference to Peer-to-Peer (P2P) Lending in Indonesia

2021 ◽  
pp. 144-164
Author(s):  
Tulus T. H. Tambunan
Keyword(s):  
Small Businesses ◽  
Peer To Peer ◽  
Small Business Owners ◽  
Semistructured Interview ◽  
Group Discussions ◽  
Case Study Methodology ◽  
P2p Lending ◽  
Study Methodology ◽  
Financial Technology

This study aims to explore the growth of financial technology (fintech) and its impact on the ability of small businesses to access funding in Indonesia with reference to peer-to-peer (P2P) lending. It adopted a case study methodology using a semistructured interview and a series of focus group discussions (FGDs) with 10 owners of small businesses and 30 owners or managers of peer-to-peer (P2P) lending companies. Two important findings were (1) the sampled small businesses benefited from P2P lending and (2) banks are the most important investor in P2P lending companies. However, this study has its limitations. First, the sample was too small to generalize to a broader population. Second, there is no national data on credit to small businesses from P2P lending to support the findings of the case. To the authors' knowledge, this is the first study on this topic, specifically in Indonesia. It takes stock of the empirical evidence in the literature through the lens of small business owners.

Behavioral Biases in Peer-to-Peer (P2P) Lending

2019 ◽  
pp. 367-400 ◽  
Author(s):  
Shahar Ayal ◽  
Daphna Bar-Haim ◽  
Moran Ofir
Keyword(s):  
Peer To Peer ◽  
Behavioral Biases ◽  
P2p Lending

scholarly journals Towards Repayment Prediction in Peer-to-Peer Social Lending Using Deep Learning

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1041 ◽  
Author(s):  
Kim ◽  
Cho
Keyword(s):  
Deep Learning ◽  
Design Feature ◽  
Feature Space ◽  
Peer To Peer ◽  
Complex Data ◽  
Complex Information ◽  
Social Lending ◽  
P2p Lending ◽  
Complex Features ◽  
Deep Learning Model

Peer-to-Peer (P2P) lending transactions take place by the lenders choosing a borrower and lending money. It is important to predict whether a borrower can repay because the lenders must bear the credit risk when the borrower defaults, but it is difficult to design feature extractors with very complex information about borrowers and loan products. In this paper, we present an architecture of deep convolutional neural network (CNN) for predicting the repayment in P2P social lending to extract features automatically and improve the performance. CNN is a deep learning model for classifying complex data, which extracts discriminative features automatically by convolution operation on lending data. We classify the borrower’s loan status by capturing the robust features and learning the patterns. Experimental results with 5-fold cross-validation show that our method automatically extracts complex features and is effective in repayment prediction on Lending Club data. In comparison with other machine learning methods, the standard CNN has achieved the highest performance with 75.86%. Exploiting various CNN models such as Inception, ResNet, and Inception-ResNet results in the state-of-the-art performance of 77.78%. We also demonstrate that the features extracted by our model are better performed by projecting the samples into the feature space.

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