Sistematik Derlemeler ve Meta Analiz
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TÜRKiYE PAZARI İÇİN İLK EŞLER ARASI BORÇ VERME PLATFORMUNA DAİR İŞ MODELI ÖNERİSİ

Yıl 2025, Cilt: 7 Sayı: 2, 1 - 11
https://doi.org/10.46959/jeess.1700818

Öz

Eşler arası borç verme (P2P), "kitlesel borç verme" olarak da bilinen, bireylerin ve işletmelerin geleneksel finansal kuruluşlara ihtiyaç duymadan doğrudan birbirlerine para vermelerine olanak tanıyan bir kredi verme modelidir. P2P kredilendirme, kredi değerliliğine göre borç verenleri ve borç alanları eşleştiren çevrimiçi platformlar aracılığıyla kolaylaştırılır. Bu makale, P2P kredilendirmenin, borç verenler ve borç alanlar için artan karlılık gibi avantajlarının yanı sıra, geleneksel hisse senedi piyasalarına kıyasla daha az volatilite ve likidite nedeniyle daha yüksek riskler gibi dezavantajlarını tartışmaktadır. Ayrıca, Türkiye'de P2P kredilendirmenin düzenleyici süreci incelenmekte olup, Sermaye Piyasası Kurulu'nun (SPK) kitle fonlaması faaliyetlerini düzenlemekten sorumlu olduğu belirtilmektedir. Makale, geçmiş düzenlemeleri ve SPK'nın potansiyel gelecekteki düzenlemelerini dikkate alarak, P2P kredi platformlarının kilit bileşeni olarak kredi puanlama algoritmalarına odaklanan Türkiye pazarı için öncü bir iş modeli önermektedir

Etik Beyan

Bu çalışmanın herhangi bir etik kurul gereksinimi yoktur

Teşekkür

Projenin kavramsal geliştirme sürecinde ekibiyle birlikte destek olan Kübra Nur Güven'e teşekkür ediyoruz.

Kaynakça

  • Aitken, R. (2017) “All Data Is Credit Data: Constituting the Unbanked”, Competition & Change, 21(4): 268-297.
  • Byanjankar, A., Heikkilä, M., and Mezei, J. (2015) “Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach”, Applied Economics, 47(1): 54-70.
  • Chang, A.H., Yang, L.K., Tsaih, R.H. and Lin, S.K. (2022) “Machine Learning and Artificial Neural Networks to Construct P2P Lending Credit-Scoring Model: A Case Using Lending Club Data”, Quantitative Finance and Economics, 6(2): 303-325.
  • Dorfleitner, G., Priberny, C., Schuster, S., Stoiber, J., Weber, M., Castro, I., and Kammler, J. (2016) “Description-Text Related Soft Information in Peer-to-Peer Lending: Evidence from Two Leading European Platforms”, Journal of Banking & Finance, 64:169-187.
  • Duarte, J., Siegel, S., and Young, L. (2024) “The Evolution of P2P Lending”, In Research Handbook on Alternative Finance (pp. 181-212), Edward Elgar Publishing.
  • Fitzpatrick, T. and Mues, C. (2021) “How Can Lenders Prosper? Comparing Machine Learning Approaches to Identify Profitable Peer-to-Peer Loan Investments”, European Journal of Operational Research, 294(2): 711-722.
  • Gago, U., and Zeytinler E. G. (2022) “Borçlanmaya Dayalı Kitle Fonlaması”, Technical Report. GSG Hukuk, Retrieved September 2, 2024, from https://www.gsghukuk.com/tr/bultenler-%20yayinlar/makale-yazilar/borclanmaya-dayali-kitle-fonlamasi.html.
  • Grand View Research (2023) “Crowdfunding Market Size, Share & Trends Analysis Report by Type (Equity-Based, Debt-Based) by Application (Food & beverage, technology, media, healthcare, real estate), by Region, and Segment Forecasts, 2023 – 2030, Last accessed March 5, 2023, from https://www.grandviewresearch.com/industry-analysis/crowdfunding-market-report#:%E2%88%BC:text=The%20global%20crowdfunding%20market%20size,USD%205.53%20billion%20by%202030.
  • John, A. P., Devaraj, J., Gandhimaruthian, L., and Liakath, J. A. (2023) “Swarm Learning Based Credit Scoring for P2P Lending in Blockchain”, Peer-to-Peer Networking and Applications, 16, 2113-2130. https://doi.org/10.1007/s12083-023-01526-5.
  • İnce Yenilmez M. and Yıldırım H. (2025) “The Relationship of Economic Policy Uncertainty with the Stock Market Index and the Exchange Rate: The Case of Russia”, Journal of New Economy, 26(1): 69–86. https://doi.org/10.29141/2658-5081-2025-%2026-1-4.
  • Kitle Fonlaması Tebliği, CMB (2021) “Republic of Türkiye Official Journal”, Nr: 31641.
  • Lenz, R. (2016) “Peer-to-Peer Lending: Opportunities and Risks”, European Journal of Risk Regulation, 7(4): 688-700.
  • Liu, Z., You, W. and Tan, Y. (2025) “A Blessing or a Curse: The Impact of Sampling in the Crowdfunding Market”, Production and Operations Management, 34(7): 1579-1596.
  • Shih, D.H., Wu, T.W., Shih, P.Y., Lu, N.A. and Shih, M.H. (2022) “A Framework of Global Credit-Scoring Modelling Using Outlier Detection and Machine Learning in A P2P Lending Platform”, Mathematics, 10(13): 2282.
  • Namin, A., Dehdashti, Y. and Ketron, S.C. (2025) “Critical Mass in A Crowd: A Predictive Model of Online Crowdfunding of Public Goods in the US vs. UK”, Journal of Business Research, 186: 114992.
  • Oh, E. Y., and Rosenkranz, P. (2022) “Determinants of Peer-to-Peer Lending Expansion: The Roles of Financial Development and Financial Literacy”, The Journal of FinTech, 2(01n02), 2250001.
  • Paya Dayalı Kitle Fonlaması Tebliği, CMB (2019) “Republic of Türkiye Official Journal”, Nr: 30907.
  • Sermaye Piyasası Kurulu (Capital Markets Board of Türkiye) (2019) “SPK 2018 Yılı Faaliyet Raporu”, In https://spk.gov.tr/yayinlar/spk-idare-faaliyet-raporlari (Faaliyet Raporu-2018). Sermaye Piyasası Kurulu Capital Markets Board of Türkiye. Retrieved September 2, 2024, from https://spk.gov.tr/data/61e48f651b41c60d1404d687/e6e72c4c12f3a35c3aa5255bfe75d0c2.pdf.
  • Shih, D.H., Wu, T.W., Shih, P.Y., Lu, N.A. and Shih, M.H. (2022) “A Framework of Global Credit-Scoring Modelling Using Outlier Detection and Machine Learning in A P2P Lending Platform”, Mathematics, 10(13): 2282.
  • Tekeoğlu, A.N.T., Küçükçolak, R.A. and Küçükçolak, N.I. “Crowdfunding As An Innovative Transformation in Finance: Insights, Opportunities, and Recommendations”, PressAcademia Procedia, 18(1): 130-140.
  • Turguttopbas, N., and Kayral, I. E. (2023) “Global Peer-to-Peer Lending Market”, Press Academia Procedia, 16(1): 10-15.
  • Xu, J., Lu, Z. and Xie, Y. (2021) “Loan Default Prediction of the Chinese P2P Market: A Machine Learning Methodology”, Scientific Reports, 11(1): 18759.
  • Yazarlari, H. U. (2023, April 2) “Hangi Kredi Finansal Raporu Nedir?”, Hangikredi.com. Retrieved September 2, 2024, from https://www.hangikredi.com/bilgi-merkezi/hangikredi-notu-nedir/.Zhang, Y., Jia, H., Diao, Y., Hai, M., and Li, H. (2016). Research on credit scoring by fusing social media information in online peer-to-peer lending. Procedia Computer Science, 91, 168-174. https://doi.org/10.1016/j.procs.2016.07.055x.

A BUSINESS MODEL PROPOSAL FOR THE FIRST P2P LENDING PLATFORM OF TURKEY

Yıl 2025, Cilt: 7 Sayı: 2, 1 - 11
https://doi.org/10.46959/jeess.1700818

Öz

Peer-to-peer (P2P) lending, also known as "crowdlending," is a model of lending that allows individuals to lend money directly to other individuals or businesses without the need for a traditional financial institution. P2P lending is facilitated through online platforms that match lenders with borrowers based on their creditworthiness. This article discusses the pros and cons of P2P lending, including increased profitability for lenders and borrowers, but also higher risks due to less volatility and liquidity compared to traditional equity markets. The regulatory process for P2P lending in Turkey is also examined, with the Capital Markets Board (CMB) responsible for regulating crowdfunding activities.The article proposes a pioneering business model for the Turkish market that focuses on credit scoring algorithms as a key component of P2P lending platforms, taking into account past regulations and potential future regulations from the CMB.

Etik Beyan

This study does not require any ethical committee approval.

Teşekkür

We would like to thank Kübra Nur Güven and her team for their support during the conceptual development process of the project.

Kaynakça

  • Aitken, R. (2017) “All Data Is Credit Data: Constituting the Unbanked”, Competition & Change, 21(4): 268-297.
  • Byanjankar, A., Heikkilä, M., and Mezei, J. (2015) “Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach”, Applied Economics, 47(1): 54-70.
  • Chang, A.H., Yang, L.K., Tsaih, R.H. and Lin, S.K. (2022) “Machine Learning and Artificial Neural Networks to Construct P2P Lending Credit-Scoring Model: A Case Using Lending Club Data”, Quantitative Finance and Economics, 6(2): 303-325.
  • Dorfleitner, G., Priberny, C., Schuster, S., Stoiber, J., Weber, M., Castro, I., and Kammler, J. (2016) “Description-Text Related Soft Information in Peer-to-Peer Lending: Evidence from Two Leading European Platforms”, Journal of Banking & Finance, 64:169-187.
  • Duarte, J., Siegel, S., and Young, L. (2024) “The Evolution of P2P Lending”, In Research Handbook on Alternative Finance (pp. 181-212), Edward Elgar Publishing.
  • Fitzpatrick, T. and Mues, C. (2021) “How Can Lenders Prosper? Comparing Machine Learning Approaches to Identify Profitable Peer-to-Peer Loan Investments”, European Journal of Operational Research, 294(2): 711-722.
  • Gago, U., and Zeytinler E. G. (2022) “Borçlanmaya Dayalı Kitle Fonlaması”, Technical Report. GSG Hukuk, Retrieved September 2, 2024, from https://www.gsghukuk.com/tr/bultenler-%20yayinlar/makale-yazilar/borclanmaya-dayali-kitle-fonlamasi.html.
  • Grand View Research (2023) “Crowdfunding Market Size, Share & Trends Analysis Report by Type (Equity-Based, Debt-Based) by Application (Food & beverage, technology, media, healthcare, real estate), by Region, and Segment Forecasts, 2023 – 2030, Last accessed March 5, 2023, from https://www.grandviewresearch.com/industry-analysis/crowdfunding-market-report#:%E2%88%BC:text=The%20global%20crowdfunding%20market%20size,USD%205.53%20billion%20by%202030.
  • John, A. P., Devaraj, J., Gandhimaruthian, L., and Liakath, J. A. (2023) “Swarm Learning Based Credit Scoring for P2P Lending in Blockchain”, Peer-to-Peer Networking and Applications, 16, 2113-2130. https://doi.org/10.1007/s12083-023-01526-5.
  • İnce Yenilmez M. and Yıldırım H. (2025) “The Relationship of Economic Policy Uncertainty with the Stock Market Index and the Exchange Rate: The Case of Russia”, Journal of New Economy, 26(1): 69–86. https://doi.org/10.29141/2658-5081-2025-%2026-1-4.
  • Kitle Fonlaması Tebliği, CMB (2021) “Republic of Türkiye Official Journal”, Nr: 31641.
  • Lenz, R. (2016) “Peer-to-Peer Lending: Opportunities and Risks”, European Journal of Risk Regulation, 7(4): 688-700.
  • Liu, Z., You, W. and Tan, Y. (2025) “A Blessing or a Curse: The Impact of Sampling in the Crowdfunding Market”, Production and Operations Management, 34(7): 1579-1596.
  • Shih, D.H., Wu, T.W., Shih, P.Y., Lu, N.A. and Shih, M.H. (2022) “A Framework of Global Credit-Scoring Modelling Using Outlier Detection and Machine Learning in A P2P Lending Platform”, Mathematics, 10(13): 2282.
  • Namin, A., Dehdashti, Y. and Ketron, S.C. (2025) “Critical Mass in A Crowd: A Predictive Model of Online Crowdfunding of Public Goods in the US vs. UK”, Journal of Business Research, 186: 114992.
  • Oh, E. Y., and Rosenkranz, P. (2022) “Determinants of Peer-to-Peer Lending Expansion: The Roles of Financial Development and Financial Literacy”, The Journal of FinTech, 2(01n02), 2250001.
  • Paya Dayalı Kitle Fonlaması Tebliği, CMB (2019) “Republic of Türkiye Official Journal”, Nr: 30907.
  • Sermaye Piyasası Kurulu (Capital Markets Board of Türkiye) (2019) “SPK 2018 Yılı Faaliyet Raporu”, In https://spk.gov.tr/yayinlar/spk-idare-faaliyet-raporlari (Faaliyet Raporu-2018). Sermaye Piyasası Kurulu Capital Markets Board of Türkiye. Retrieved September 2, 2024, from https://spk.gov.tr/data/61e48f651b41c60d1404d687/e6e72c4c12f3a35c3aa5255bfe75d0c2.pdf.
  • Shih, D.H., Wu, T.W., Shih, P.Y., Lu, N.A. and Shih, M.H. (2022) “A Framework of Global Credit-Scoring Modelling Using Outlier Detection and Machine Learning in A P2P Lending Platform”, Mathematics, 10(13): 2282.
  • Tekeoğlu, A.N.T., Küçükçolak, R.A. and Küçükçolak, N.I. “Crowdfunding As An Innovative Transformation in Finance: Insights, Opportunities, and Recommendations”, PressAcademia Procedia, 18(1): 130-140.
  • Turguttopbas, N., and Kayral, I. E. (2023) “Global Peer-to-Peer Lending Market”, Press Academia Procedia, 16(1): 10-15.
  • Xu, J., Lu, Z. and Xie, Y. (2021) “Loan Default Prediction of the Chinese P2P Market: A Machine Learning Methodology”, Scientific Reports, 11(1): 18759.
  • Yazarlari, H. U. (2023, April 2) “Hangi Kredi Finansal Raporu Nedir?”, Hangikredi.com. Retrieved September 2, 2024, from https://www.hangikredi.com/bilgi-merkezi/hangikredi-notu-nedir/.Zhang, Y., Jia, H., Diao, Y., Hai, M., and Li, H. (2016). Research on credit scoring by fusing social media information in online peer-to-peer lending. Procedia Computer Science, 91, 168-174. https://doi.org/10.1016/j.procs.2016.07.055x.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finans ve Yatırım (Diğer)
Bölüm Makaleler
Yazarlar

Zekiye Aydoğan 0009-0001-8710-5782

Bekir Çetintav 0000-0001-7251-1211

Erken Görünüm Tarihi 15 Ekim 2025
Yayımlanma Tarihi 7 Kasım 2025
Gönderilme Tarihi 20 Mayıs 2025
Kabul Tarihi 29 Eylül 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 2

Kaynak Göster

APA Aydoğan, Z., & Çetintav, B. (2025). A BUSINESS MODEL PROPOSAL FOR THE FIRST P2P LENDING PLATFORM OF TURKEY. Uygulamalı Ekonomi ve Sosyal Bilimler Dergisi, 7(2), 1-11. https://doi.org/10.46959/jeess.1700818