My personal data about Chinese non-performing Asset-backed Securities

  • Last Update:December,22,2021 Created:December,22,2021
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Title of the dataset My personal data about Chinese non-performing Asset-backed Securities
Provenance of the dataset just myself
How were the data collected/created? What was the cost? searching for relevant websites and softwares
Data sharing policy Under particular condition.
Data sharing policy If the use needs it for necessary research(not for making money)

About data analysis and simulation

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. table
Variable labels of dataset (the names of the variables) product name, issue amount, priority part, inferiority part, issue rate, interest rate margin, expected recovery amount, expected recovery rate, the recovery amount of 0.5,1,1.5,2,2.5,3,3.5 years after release
Outline of data In my data, I collect the data about non-performing ABS released by 5 biggest banks of China during 2016-2020, such as issue amount, the priority part, the inferiority part, the issue rate, the expected recovery rate, and so on. The data are collected for my research about the financial stock market.
Simulation process make regressions or other data analyzing methods using relevant softwares
Expected outcome of the process (obtained knowledge, analysis results, output of tools) evaluate the risk of those products, and evaluate the reasonable price of those products. compare the expected price to the real price, and try to explain the difference if any
Anticipation for analyses/simulations other than the typical ones provided above use those historical data to evaluate those new-issue products, evaluating the risk and price of them

Other

Comments
What kind of data/tools do you wish to have? more detailed data from the institutions, such as the concrete repayment amount of each loan, and those data from other countries
Visualized information
Sample data
  • product
  • release
  • priority
  • inferior
  • intrate
  • ratediff
  • exprec
  • fullunrepay
  • exprecrate
  • jx20161
  • 7.02
  • 4.64
  • 2.38
  • 3.3
  • 0.37
  • 10.3284
  • 24.4553
  • 0.4223
  • jx20162
  • 15.6
  • 12
  • 3.6
  • 3.3
  • 0.39
  • 28.0381
  • 29.9276
  • 0.9369
  • jx20163
  • 4.74
  • 3.64
  • 1.1
  • 4.4
  • -0.46
  • 6.7735
  • 28.1047
  • 0.241
  • gy20161
  • 10.77
  • 6.6372
  • 4.1328
  • 3.19
  • 0.32
  • 45.215
  • 0
  • gy20162
  • 3.51
  • 2.61
  • 0.9
  • 4.28
  • -0.19
  • 4.2744
  • 31.2922
  • 0.1366
  • gy20163
  • 40.8
  • 30.6
  • 10.2
  • 4.32
  • 0.26
  • 60.2074
  • 75.2986
  • 0.7996
  • zy20161
  • 3.01
  • 2.3478
  • 0.6622
  • 3.42
  • 0.44
  • 4.2156
  • 12.5383
  • 0.3362
  • zy20162
  • 6.15
  • 4.1847
  • 1.9693
  • 4.5
  • 0.14
  • 8.8555
  • 31.5395
  • 0.2808
  • hc20161
  • 2.33
  • 1.88
  • 0.45
  • 3
  • 0.11
  • 2.9685
  • 20.977
  • 0.1415

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