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P2P lending platforms in Malaysia: What do we know?
Lan Thi Phuong Nguyen1, Wisdom Kalabeke1, Saravanan Muthaiyah1
1FACULTY OF MANAGEMENT, MULTIMEDIA UNIVERSITY, CYBERJAYA, SELANGOR, 63100, Malaysia.
F1000Research
|April 17, 2023
Summary
Individual investors in Malaysia
Area of Science:
- Financial Technology (FinTech)
- Peer-to-Peer (P2P) Lending
- Investment Risk Analysis
Background:
- Financial Technology (FinTech) has led to the rise of Peer-to-Peer (P2P) lending platforms in Malaysia since 2016, regulated by the Securities Commission.
- P2P lending offers individual investors higher potential returns than traditional lenders but also entails increased default risks from borrowers.
- Understanding potential risk exposures is crucial for individual investors to make informed decisions on P2P lending platforms.
Purpose of the Study:
- To explore potential risk exposures faced by individual investors on licensed P2P lending platforms in Malaysia.
- To analyze the relationship between interest rates and key risk factors in the Malaysian P2P lending market.
Main Methods:
- Manual data collection from nine P2P lending platforms over a five-month period.
- Examination of relationships between interest rates and risk factors: credit rating, industry, business stage, loan purpose, and loan duration.
Main Results:
- Significant variations in interest rates were observed for loans with similar credit ratings, loan purposes, and business stages.
- Shorter loan durations were associated with higher interest rates compared to longer durations.
- Loans from companies within the same industry generally exhibited similar interest rates.
Conclusions:
- This study provides novel insights into Malaysia's P2P lending landscape using firsthand-collected data.
- Findings on the interplay between interest rates and risk factors (credit rating, industry, business stage, loan purpose, loan duration) are valuable for investors.
- The results empower individual investors to better assess risks and opportunities within Malaysian P2P lending platforms.

