In the three years from 2013 to 2015, over 2500 establishments work in P2P¹ (Pear to Pear) business in China, groups of heroes seek opportunities in this high-speed expansion market. Fierce competition among companies becomes obvious. The more guest cost is rising in such institutions, risk is accumulating and it is hard to effectively release, although the regulatory border has been formally delimited but it has yet to implement. The nature of the P2P information intermediaries can’t be implemented effectively. All types of risk events appear from time to time that platform tender guarantee but it failed to meet its obligations of normal payment [1] .

Under this background, more and more internet finance has already continued to explore and think about how to undertake business innovation in a more effective dimension so that feature with “Decentration”² of the P2P Lending realizes decentration and return to pure information intermediary and Match- Making platform, track of this business platform only provides trading platform and passage does not operate any risks, all borrowing decisions through the ends of the lending [2] .

The author and his project team conduct creative work in social network’s risk management and evaluation of relationship among acquaintances as online financial team of China launch innovative concept of Social Finance. They first launch relationship lending based on credit lending facility between familiar people. This article demonstrates and studies on commercial logic effectiveness and theoretical support for this relationship lending between acquaintances.

Relationship lending is lending method of risk control means by interpersonal credit rating as a starting point, efficient debit and credit relationship quickly as core function, and mechanism of restricted relations as the core. Lending relationship provides the core functions of One-way Anonymous credit and Two- way Anonymous lending at the application layer [3] .

Mechanisms of relationship lending in practical work of commercial models is as follows as Figure 1.

1) The relationship is confirmed by scanning phone's address book of Potential Lender³ or Willing Lender and Potential Borrower or Willing Borrower. If PL exists in address book of PB, and PB also exists in PL, we confirm basic relationship between the two sides, namely, there is an association between PL and PB.

2) Credit^4,5 (group decision): PL makes credit to PB, credit process is a certain expressional willingness to borrow, that means PL willed to lend the largest amount base on cognition and.

Independent judgment of PB when PB needs to borrow makes. The credit through group decision making, in other words, there are many PL1, PL2, PL3, PL4,…, PLn can credit the same PB, and PL1, PL2, PL3, PL4,…, PLn all know

credit amount of other PB. No matter whether PL1, PL2, PL3, PL4,…, PLn know each other and confirm the aforementioned relationship they all can be exposed and unobstructed completely understand other PB’s willingness to borrow, they make individual decision themselves that reference result from group decision base on cognitive PB.

It should be noted that PL to PB of credit is one-way and anonymous. PB does not know which of the PL1, PL2, PL3, PL4,…, PLn credits it, or the exact amount just follow a path from the PL to PB.

3) Loan (group decision): PB offers all PL to inform them PB is trying to borrow within total credit, appealing PL for lending cash to PB within the confines of his personal grant by mechanism of relationship lending.

PL can implement two decisions at this time:

First decision: PL agrees to borrow. PL confirms the amount of the loan then completes the borrowing within its credit to PB. Meanwhile, change roles from PB to Lender, PL transform into Borrower.

Second decision: PL refuses to lend, PL can reject this loan offer without supplying any reason.

Potential causes for rejecting may be lack of funds, not satisfied with the PL drafts borrowing rate and term of borrowing, etc.

No matter which strategy be performed by PL, relational lending mechanism will reveal

The process of loan and the final result of successes or failures only to PB without disclose to PB which decision making process for any PL.

The group decision of the process is all the PB could anonymously understand decision-making behavior and result of other PL1, PL2,…, PLn. this decision gives other decision results of other PL to independently enforce first decision (agree) or second decision (disagree).

4) Repayment: under the relationship lending mechanism, a successful loan due for repayment needn’t intervene. B reimburses one or more Lender through the mechanism according to repayment conditions (time, amount of money, interest rate, way) in the offer. B launches this one-way and anonymous repayment. In other words，B doesn’t know to repay one or more Lender and sum just intensively repay through this mechanism. Successful loan-repayment record is provided as a reference to adjust credit lines of PL to PB in the future, it could improve the lines.

5) Urging overdue payment: a successful loan becomes overdue that Borrower delays payment. Relational lending mechanism will initiate automatic due loans collection, system will perform the following tips according to overdue time:

1) 0 - 5 days overdue is natural grace period, the mechanism consider this is well-meaning, non-subjective and tolerable stage. The mechanism reminds borrower everyday that repays as soon as possible and Lender that has started alarm and entered into natural grace period because of the loan is out of date.

2) 6 - 14 days overdue is non-natural grace period, the mechanism consider this behavior of the borrower is well-meaning and non-subjective overdue, mechanism remains optimistic about borrower will be the repayment schedule, further reminders can be taken. under non-natural grace period, mechanism will disclose Lender's name and borrowing balance to Borrower.

At this stage, this unidirectional disclosure to B, the function is generating pressure for B.

3) 15 - 45 days is 1st class days overdue，the mechanism confirms the borrower overdue that is subjective and non-goodwill. At this stage, mechanism will disclose Borrower’s message to all the Lender. Now, two-way anonymous mechanisms of lending officially end. L and B know completely each other. L connects directly with B to pay on time, the mechanism urges B can independently repay loan.

4) 45 - 90 days is 2st class days overdue，that means at the urging of Relational lending mechanism ,within 30 days, B fails to meet his obligations, his obviously consciousness of malicious default has caused losses to L. The first day, the mechanism will execute global warning, thus prompting L to pay back the money in this stage.

Global warning is a special mechanism in relationship lending, consent was obtained from B, PB, L, PL. After the warning starts, phone’s address book of PB is scanned in the stage of confirming the relationship⁶ which will be global and non-selective warned all the people in the address book the content of warning: the loan of B has been clearly overdue, stakeholder be warned credit risk in the address list. The overall and relational characteristic of this mechanism could create huge blows for B.

5) More than 90 days is 3st class days overdue need to start other debt-col- lection and safeguard mechanism that the loan has been a loss loan from evaluation mechanism of non-performing loan in traditional financial institutions, this paper won’t discuss here.

The establishment of Chinese social model of interpersonal relationship lending mechanism provides mechanism guarantee for China has pure credit loan among people since a long time ago. Meanwhile provides a different kind of thinking that is loan relationship of Real-name credit + Anonymous lending [4] .

1) Relationship lending among acquaintances has a long history in Chinese society

Private lending in China dates back to the Spring and Autumn Period and the Warring States Period, early private lending is mostly physical credit. In west Zhou dynasty loaning with interest comes into being, the usury⁷ is emerging. According to Guan Zi, during spring and autumn period, semiannual interest rate of Grain lending even up to 100% in the Western Qi State. In Qin and Han dynasties, borrowing behavior has been more and more lively with the development of commodity economy. Private lending has integrated in all the fields of everyday life since the Tang and Song, The prevailing of usury cause more and more influence on the economy and people's life. After the establishment of new China, although private lending is repressed, private lending with the nature of life widely exists in folk especially in 1990s, the scale, capital, amount and influence are more and more large [5] .

2) Private lending of Chinese relationship shows more and more shortcomings

Private lending of Chinese relationship is constructed that generally is based on acquaintance relation, folk lending is the behavior that acquaintances establish its own loan by agreement personal credit or corresponding guarantees such as house property, commodity.

However, with the increasing demand, the scale of expansion, the folk lending has become increasingly apparent shortcomings.

a) Traditional Chinese credit relation emerges to mainly depend on interpersonal network rather than purely commercial lending, which leads to both Lender and Borrower increasingly concern about the conclusion of contracts for loan, the determination of loan rate, the collection of overdue debt in the not- pure loan relationship may affect interpersonal relationships in relational network.

b) According to an uncompleted statistic, Chinese private lending exceeds $ 8.6 trillion⁸. A finite amount of borrowing balance can be provided with the scale and demands are expanding, inefficient lending among acquaintances restrict rapid growth. More and more borrowers lend money from stranger by seeking P2P institutions to increase the risk of loan and difficulty of judging credit risk.

c) Credit behavior works to rely on acquaintance relationship, borrower more pays attention to reveal usage of loan, demand for privacy protection is increasing day by day, therefore borrower refuses to borrow from stranger to avoid privacy exposure.

3) Analysis and research of logic and value base on the five core

The research team analyzes relational lending mechanism which is depended on following the five kind of basic logics and values. These logics and values come from basic attitude of Chinese philosophy and Western classical economics. The team further studies on effectiveness and theoretical support of this mechanism by developing and extending these basic values.

Ÿ Things of a kind come together. People of a mind fall into the same group⁹.

Ÿ Subjective judgment still exists under Hypothesis of Economic Man¹⁰.

Ÿ Nash equilibrium generally exists in the credit relationship among people¹¹.

Ÿ Credit rating of interpersonal Initiative has sample population in accuracy.

Ÿ Credit evaluation has the function of automatic adjustment in the decision group.

Three core theories of western economics: Nash Equilibrium, Unbiased Estimate and automatic regulation under Rational Expectation, that provide powerful theoretical support for the mechanism of relationship lending and service logic.

1) Nash Equilibrium affects loan decision in the lending relationship

Nash Equilibrium is a strategy combination on which any participant unilaterally changes strategy won’t be rewarded. If no player has an incentive to change her strategy while the other players keep their strategies，that is, Nash equilibrium.

And so it is for relationship lending.

While all PL1, PL2, PL3, PL4, …, PLn provide a credit by independent judgment for PB, individual PL adjusts credit would not affect the whole credit system. The whole credit and Leading still retain dynamic equilibrium state. Once all Potential Lenders change credit to Potential Borrowers, credit value will form balance in new combination.

Simply, in the relationship lending mechanism:

a) Everyone is willing to lend you the money, I am also willing.

b) I don’t want to lend you the money, it does not mean that other people don’t want.

c) All people are not willing to lend you the money, nor I.

2) Unbiased Estimator verify lines of credit

Unbiased Estimator is that the expectation of parameterized sample estimate equals the real value of parameters. Mathematical expectation of estimator equals the estimated parameter that is called Unbiased Estimator.

Whatever differences may exhibit in the size and amount after group decision making the sample, values of the sample may be considered as actual value of Unbiased Estimator.

The value would be very close to global Credit Value.

Both independent judgment and group decision make new value near to truth-value when new sample joins.

Simply, in the relationship lending mechanism:

If you have 300 friends although there is only 33 people take credit for you, as long as this people are Unbiased chosen, credit still has value close to true value. For example as follows as Table 1.

The credit extension for three is 30000 yuan, thirty is 5000 yuan among them.

According to mathematical expectation of E make estimates, 7272 yuan approaches real credit value of Unbiased Estimator.

3) Rational Expectations make that loan fluctuates around credit risk

In Economics and Finance, people generally makes unbiased prediction with forward rate as future spot rate, markets will trade through estimating future spot rate to exchange rate approach true value under mechanism of international arbitrage.

In credit loan, if someone could normally repay within three months is expected all relevant person in three months, then after three months, the man normal repays the loan with a higher probability. Everyone provides capital financing along in normal expectation to make him could achieve goal of repayment by various means.

The possible outcome is the rapidly deteriorating situation of credit that collective demand prepayment, quickly decrease credit extension and non-per- forming credit.

On the contrary, this causes the borrower difficult to financing by mean of short-term fund, ultimately, struggle to repay.

In short, under rational expectation and conditions of new information is utilized effectively, credit loan has function of automatically adjusts risk, thus to avoids systematic decision-making error.

For example:

Ÿ Most people lose faith in your future ability of paying back loans, and information is effectively delivered to all people.

Ÿ Most people provide line of credit rapidly rising or falling, and information is effectively delivered to all people.

The above conditions may soon cause chain reaction under this credit decision. Namely, all lenders judge loan limit rising or falling around PB credit standing of rational expectation, so as to achieve effect of closing account or increasing loan.

In traditional P2P borrowing, less decision errors are caused by information asymmetry, the errors usually appear as everyone no longer believes borrower, almost everyone reduces unwillingness to lend, but some individuals still lend to B without knowing risk.

Based on the analysis and thinking of Nash Equilibrium, Unbiased Estimator and automatic regulation under rational expectations, we think credit loan mechanism of strong tie has the stability of credit extension, the relative accuracy of credit-granting Quota, the credit assigning and concurrency management after loan. The current personal credit in China is not yet established. Private lending still has a great space. In this environment, the mechanism is a credit judgment of effective realistic condition and the forming mechanism of loan relation.

Huang, X. (2017) Research on the Operation Mode and Theoretical Support of Relationship Lending. Social Networking, 6, 53-60. http://dx.doi.org/10.4236/sn.2017.61004