Home > Library > Algorithmic credit portfolio segmentation
Author Andy Yeh Alpha
This research article proposes a new algorithmic model for credit portfolio segmentation.
Description:
Under the new Basel bank capital framework, each bank must group its retail exposures into multiple segments with homogeneous risk characteristics. The U.S. regulatory agencies believe that each bank may use its internal risk models for the loan-level risk parameter estimates such as probability of default (PD) and loss given default (LGD) to group individual exposures into the resultant segments with homogeneous risk attributes. In stark contrast to the conventional decision-tree method, we propose a new algorithmic technique for retail consumer loan portfolio segmentation. This new technique identifies the optimal number of segments, sorts the individual loan exposures into the various segments, and then leads to the minimal degree of risk heterogeneity in comparison to the baseline equal-bin and quantile-bin schemes. Furthermore, we analyze the Monte Carlo implicit asset correlation values for the retail loan segments over time to help assess the implications for bank capital measurement. The best-fit method for retail credit portfolio segmentation results in some capital relief that serves as an economic incentive for the bank to invest in this alternative segmentation. This positive outcome accords with the core principle of statistical conservatism that the financial econometrician enshrines in the Basel regulatory requirements for bank capital measurement.
2019-12-07 11:30:00 Saturday ET

China turns on its 5G telecom networks in the hot pursuit of global tech supremacy. China Telecom, China Unicom, and China Mobile disclose 5G fees of $18-$2
2023-06-21 12:32:00 Wednesday ET

Michael Sandel analyzes what money cannot buy in stark contrast to the free market ideology of capitalism. Michael Sandel (2013) What money
2023-11-21 11:32:00 Tuesday ET

Nobel Laureate Paul Milgrom explains the U.S. incentive auction of wireless spectrum allocation from TV broadcasters to telecoms. Paul Milgrom (2019)
2025-10-04 13:37:00 Saturday ET

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fund
2025-10-02 12:31:00 Thursday ET

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fund
2018-12-20 13:40:00 Thursday ET

T-Mobile and Sprint indicate that the U.S. is likely to approve their merger plan as they take the offer from foreign owners to stop using HuaWei telecom te