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零售融资模式转型

 

 China Online Lending Sector Transformation from a retail-funded model Diversified Financials | Initiation

 Equity Research Asia Pacific | China

 Figure 1: Covered online lenders: % institutional funding vs YTD share price return

 110%

 90%

 70%

 50%

 30%

 10%

 -40% -20% 0% 20% 40% 60%

 YTD share price change

 Note: 9F represents post-IPO share price return. Closing prices as of 8 Oct, 2019. Source: Company data ■

 Bracing for an intensifying P2P clean-up. We see two fundamental conflicts at the core of the P2P model: (1) risk appetite mismatch between investors and borrowers, and (2) high regulatory cost vs small systemic impact. We expect accelerated P2P platform clean-up heading into 4Q, with continued roll-out of high regulatory hurdles while the ‘triple-reductions’ (i.e., reduction in the number of platforms, outstanding balance, and number of investors) remain in force for an extended period of time—likely through 1H 2020. A majority (~98%) of the currently 708 operating platforms is likely shut down during this process. ■

 Picking the best-positioned players in transforming towards institutional funding. With limited licensing options available for now, loan facilitation (or ‘assisted lending’) model is the most viable exit strategy for existing P2Ps. Despite a generally negative impact on take rate (higher funding cost and potentially lower APR) and operating margin (higher sales & marketing expense), a faster progress in transformation towards the loan facilitation model will be a key differentiation in loan origination volume growth. In this report, we identify three areas of the online lending business most valued by the licensed financial institutions: (1) customers, (2) asset quality, and (3) regulatory compliance. Lexin and Qudian rank among the best-positioned for transforming towards a 2B model. Yiren Digital ranks last. We adjust the WACC to reflect higher exposure to P2P-related regulatory uncertainty. ■

 Stock Calls—prefer Lexin and Qudian. We initiate coverage on Lexin with OUTPERFORM (TP of US$17.00) and 9F with NEUTRAL (TP at US$11.62). Maintain OUTPERFORM on Qudian (TP US$11.70) and VCredit (TP HK$13.00). We assume coverage on PPDai with OUTPERFORM (TP cut to US$5.80 from US$8.80). We also assume coverage on Yiren Digital with NEUTRAL (TP cut to US$6.92 from US$20). We prefer (1) Lexin for long-term sustainability, thanks to a focused and differentiated customer base and effective risk control, and (2) Qudian for relative defensiveness of its evolving business model amid the regulatory uncertainty. ■

 One key risk is the sustainability of institutional partnership. We believe the on-boarding cycle of 3-6 months reduces banks’ willingness to abruptly terminate. Online lenders with stronger risk control should enjoy better funding sustainability than peers. Research Analysts Yiran Zhong 852 2101 6125

 yiran.zhong@credit-suisse.com

 Charles Zhou, CFA 852 2101 6177

 charles.zhou@credit-suisse.com

 Richie Jiang 852 2101 6198

 richie.jiang@credit-suisse.com

 Ashley Dai 852 2101 6102

 ashley.dai@credit-suisse.com

  DISCLOSURE APPENDIX AT THE BACK OF THIS REPORT CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, LEGAL ENTITY DISCLOSURE AND THE STATUS OF NON-US ANALYSTS. US Disclosure: Credit Suisse does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the Firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their % of loan volume funded by institutions

 VCredit

  Qudian

  Lexin

  9F

  PPDai

 YRD

 19 17 14 11 10 10 11 10

  Focus charts

 Figure 2: Fintech players under coverage—valuations, target price, and rating recommendations

  Figure 3: Rising % of institutional funding has been the primary driver of total volume growth during ‘triple-reductions’

 Ticker Name TP Currency

 Current P/E Current P/B Rating New FY19E FY19E

 1Q19 2Q19 QoQ % (RHS) 30 36% LX.OQ

 Lexin

 17.00

 USD

 4.7

 1.6

 Outperform

  26

 QD.N

 Qudian 11.70

 USD

 3.3

 1.0

 Outperform

 25

 22 27% 2003.HK

  VCredit 13.00 HKD 5.5 1.1 Outperform

 PPDF.N

 PPDai 5.80 USD 2.5 0.8 Outperform

 JFU.OQ

 9F 11.62 USD 8.2 1.7 Neutral

 YRD.N Yiren Digital 6.92 USD 3.8 1.3 Neutral 20 18%

 15 9%

 10 0%

 5 -9%

 0 Qudian VCredit*

  Lexin

  9F PPDai

  X Financial

  Yiren Digital

 -18%

 Source: Company data, Credit Suisse estimates Source: Company data, Credit Suisse estimates

  Figure 4: CS forecast—% institutional funding vs take rate

 % funded by institutions via loan facilitation (LHS) Combined net take-rate (RHS)

 Qudian VCredit Lexin 9F PPDai Yiren Digital 100%

 90%

 80%

 70%

 60%

 50%

 40%

 30%

 20%

 10%

 0%

 25%

  20%

  15%

  10%

  5%

  0%

 Note: Combined net take-rate reflects on- and off-B/S net revenue divided by total loan origination volume. Source: Company data, Credit Suisse estimates

  Figure 5: Qudian and Lexin 2Q19 active borrower growth was markedly stronger than peers

 Figure 6: Lexin and Qudian S&M expense per new customer declined YTD, bucking industry trend

 8.0 # of active borrowers (mn) YoY% (RHS)

 60%

 400

 6.4 40% 300

 4.8

 3.2

 1.6

 0.0

  PPDai 9F Qudian Lexin X Financial Yiren Digital 20%

 0%

 -20%

 -40%

 200

  100

  0

 1Q18 2Q18 3Q18 4Q18 1Q19 2Q19 Lexin PPDai Qudian Qfin

 9F

 Source: Company data, Credit Suisse estimates Source: Company data, Credit Suisse estimates 20 20 10 10 2018A

 2019E

 2020E

 2018A

 2019E

 2020E

 2018A

 2019E

 2020E

 Rmb (Rmb bn) 2018A

 2019E

 2020E

 2018A

 2019E

 2020E

 2018A

 2019E

 2020E

  Transformation from a retail-funded model P2P clean-up is set to accelerate in 4Q We expect accelerated P2P clean-up heading into 4Q, with continued roll-out of high regulatory hurdles while the ‘triple-reductions’ remains in force for an extended period of time—likely through 1H 2020. In the meantime, a majority (~98%) of the currently 708 operating platforms will likely shut down during this process. We expect ‘trial regulation’ for compliant players starting 4Q19, by either registering with high regulatory hurdles or transforming into licensed online micro-lenders/consumer finance companies. We believe that at the core of the P2P model lie two fundamental conflicts: (1) an inherent mismatch between the risk-profile of borrowers and the risk-appetite of investors; (2) high regulatory cost with retail investor base of 4.5 mn at its peak vs low financial systemic impact relative to the size of overall financial sector. Impact on listed players: Shifting business models The repetitive delay of registration deadlines and policy signals sent over the past few months suggest reduced regulatory appetite for P2P registration. Without a registration scenario, the likely exit options for existing players are: (1) acquiring licenses (2) sourcing funding from licensed financial institutions, i.e., loan facilitation, and (3) orderly exiting from the industry. With limited licensing options available, loan facilitation is the most viable exit strategy for existing P2Ps. Despite a generally negative impact on take-rate (higher funding cost and potentially lower APR) and operating margin (higher sales & marketing expense), a faster progress in transformation towards the loan facilitation model will be a key differentiation in loan origination volume growth. Qudian (100% institutional funded as of 2Q19), VCredit (100%),

 and Lexin (78%) are progressing well ahead of peers. We expect better business sustainability, stronger growth outlook and higher earnings visibility for the platforms that are better positioned in obtaining institutional funding. In this report, we identify three areas of the online lending business most valued by the licensed financial institutions: (1) customers, (2) asset quality, (3) regulatory compliance, and conclude that Lexin and Qudian rank among the best-positioned for transforming towards a 2B model; Yiren Digital ranks last. Investment recommendation: Prefer Lexin and Qudian We maintain OUTPERFORM for Qudian and initiate Lexin with OUTPERFORM. We assume coverage of PPDai with OUTPERFORM, and maintain OUTPERFORM on Vcredit. We assume Yiren Digital with NEUTRAL and initiate 9F with NEUTRAL. We prefer (1) Lexin for long-term sustainability, thanks to differentiated customer base and effective risk control, and (2) Qudian for relative defensiveness of its evolving business model amid the regulatory uncertainty. For Lexin, we initiate with TP of US$17.00. We believe Lexin has a sustainable business model with comparative advantage in the areas that institutional partners value the most from online lenders: (1) risk control capability, and (2) sustainable customer acquisition. We forecast robust origination volume growth of 71/44/15% YoY for FY19-21E. Our TP of US$17.00 implies FY19-20E P/E of 9.2x and 8.0x, and FY19E P/B of 3.2x. For Qudian, we maintain OUTPERFORM and TP of US$11.70. While we raise adjusted net income by 21/52/43% to Rmb4.5/5.9/6.4 bn for FY19-21E to

 factor

 in

 revenue

 contribution from QD’s open platform initiative and expect such shift in revenue structure to significantly lift QE’s ROE to 34/32/26% for

 FY19E-21E vs

 24%

 in FY18, we lower long-

 term growth to 3% from 5% to reflect lower visibility of the new business. Our TP implies 6.0x FY19E P/E and 1.7x FY19E P/B. Key risks Key risks to our thesis include: Sustainability of existing institutional partnership, regulatory uncertainty over loan facilitation, macro headwind causing asset quality deterioration.

 We expect accelerated clean-up of P2Ps, due to two fundamental conflicts of the P2P model.

  A faster progress in transformation towards the loan facilitation model will be a key differentiation in loan origination volume growth.

 China Online Lending Sector

  Figure 7: Valuation comp table

  Ticker Company Price Market Cap ADT Credit Suisse Research

 Last closing

 Last closing 1 year Ratings

 Target price PE (x) PB (x) Profit growth ROE (%)

 Price curr.

 USD mn

 USD mn

  Price curr.

 2018a

 2019e 2020e

 2018a

 2019e

 2020e

 2019e 2020e 2-yr CAGR

 2018a 2019e 2020e Dom...

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