How Accounting Measurement Affect Banks’ Investment Strategy / Runs in Shadow Banking: Evidence from Chinese P2P Lending Market

Faculty Member: 
Award:Jingyi Cui

Note: The chosen candidate will work concurrently on both of Prof. Huang’s projects.


How Accounting Measurement Affect Banks’ Investment Strategy 

Proposal Description:

The FASB (Financial Accounting Standard Board) has issued a new standard which substantially changed the way to account for loan loss provisions. The new standard requires banks to use Current Expected Credit Loss method to account for loan losses, switching from the incurred loss method. Some community banks argue the estimate is highly uncertain and the implementation is too costly. Some banks argue that this could force them to  reconsider long-term mortgage loans. In this project we will use the staggered implementation for public/private banks and examine how the measurement rule change affects banks’ real decisions. 

Requisite Skills and Qualifications:

Data collection and literature review

Fluent with STATA and SAS for data anlalysis. 


Runs in Shadow Banking: Evidence from Chinese P2P Lending Market

Proposal Description:

China has world’s largest online peer-to-peer lending market. It has grown fast in China since 2011 and faced little regulation.It is a form of shadow banking: the P2P platforms gather funds from retail investors and lend to small business or individual borrowers, promising high returns. These platforms tell investors the maturity (when you can “redeem” without penalty), the fixed interest rate, with wording indicating some kind of guarantees.
However, recently there is a crisis in the P2P lending market: many platforms collapsed and investors lose their savings. The number of lending platforms plummetted from around 6,000 to 1,500. We investigate this setting to better understand the fragility in the shadow banking system and empirically test bank run theories. In particular, we investigate how information and competition affects this market, how the likelihood of runs are related to platforms’ characteristics, and whether there is contagion in runs across platforms.

Requisite Skills and Qualifications:

Data collection and literature review

Fluent with STATA and SAS for data anlalysis. 


HSSRO Application Link
RAship: Scarf
Project Year: Summer 2019 Herb Scarf Summer Research Projects