Skip to main content

ASU Global menu

Skip to Content Report an accessibility problem ASU Home My ASU Colleges and Schools Sign In
Arizona State University Arizona State University
ASU Library KEEP

Main navigation

Home Browse Collections Share Your Work
Copyright Describe Your Materials File Formats Open Access Repository Practices Share Your Materials Terms of Deposit API Documentation
Skip to Content Report an accessibility problem ASU Home My ASU Colleges and Schools Sign In
  1. KEEP
  2. Theses and Dissertations
  3. ASU Electronic Theses and Dissertations
  4. A Case Study of Credit Risk Analysis and Modeling for SMEs -In an Internet Finance Setting
  5. Full metadata

A Case Study of Credit Risk Analysis and Modeling for SMEs -In an Internet Finance Setting

Full metadata

Description

In the last two years, China’s booming of Internet Finance Platform made significant impacts on three dimensions. Compared with the conventional market, Internet Finance is asserted to open a revolutionary pathway of lending where by small and mid-sized companies may overcome the financing dilemma on credit accessibility and high cost. In other words, Internet Finance is hyped to be able to reduce information asymmetry, enhance allocation efficiency of resources, and promote product and process innovations for the financial institutions. However, the core essence of Internet Finance rests on risk assessment and control – a fundamental element applies to all forms of financing. Most current practice of internet finance on risk assessment and control remains unchanged from the mindset of traditional banking practices for small and medium sized firms. Hence, the same problems persisted and may only become even worse under the internet finance platform if no innovations take place.

In this thesis, the author proposed and tested a credit risk assessment model using data analytics techniques through an in-depth cases study with actual transaction data. Specifically, based on the 30,000 observations collected from actual transactional data from small and medium size firms of China’s home furnishing industry. The preliminary results are promising in spite of the limitations. The thesis concludes with the findings of relevance to improve the current practices and suggests areas of future research.

Date Created
2016
Contributors
  • Zhang, Qi (Author)
  • Pei, Ker-Wei (Thesis advisor)
  • Gu, Bin (Thesis advisor)
  • Cui, Haitao (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Business Administration
  • Internet Finance small-sized firms
  • risk management and control mode
Resource Type
Text
Genre
Doctoral Dissertation
Academic theses
Extent
114 pages
Language
chi
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.38436
Level of coding
minimal
Note
Doctoral Dissertation Business Administration 2016
System Created
  • 2016-06-01 08:05:46
System Modified
  • 2021-08-30 01:24:31
  •     
  • 11 months 1 week ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

Quick actions

About this item

Overview
 Copy permalink

Explore this item

Explore Document

Share this content

Feedback

ASU University Technology Office Arizona State University.
KEEP

Contact Us

Repository Services
Home KEEP PRISM Dataverse
Resources
Terms of Deposit Sharing Materials: ASU Digital Repository Guide Open Access at ASU

The ASU Library acknowledges the twenty-two Native Nations that have inhabited this land for centuries. Arizona State University's four campuses are located in the Salt River Valley on ancestral territories of Indigenous peoples, including the Akimel O’odham (Pima) and Pee Posh (Maricopa) Indian Communities, whose care and keeping of these lands allows us to be here today. ASU Library acknowledges the sovereignty of these nations and seeks to foster an environment of success and possibility for Native American students and patrons. We are advocates for the incorporation of Indigenous knowledge systems and research methodologies within contemporary library practice. ASU Library welcomes members of the Akimel O’odham and Pee Posh, and all Native nations to the Library.

Number one in the U.S. for innovation. ASU ahead of MIT and Stanford. - U.S. News and World Report, 7 years, 2016-2022
Maps and Locations Jobs Directory Contact ASU My ASU
Copyright and Trademark Accessibility Privacy Terms of Use Emergency COVID-19 Information