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.
2019-08-18 11:33:00 Sunday ET

House Judiciary Committee summons senior executive reps of the tech titans to assess online platforms and their market power. These companies are Facebook,
2023-11-30 08:29:00 Thursday ET

In addition to the OECD bank-credit-card model and Chinese online payment platforms, the open-payments gateways of UPI in India and Pix in Brazil have adapt
2018-10-21 14:40:00 Sunday ET

President Trump floats generous 10% tax cuts for the U.S. middle class ahead of the November 2018 mid-term elections. Republican senators, congressmen, and
2019-12-30 11:28:00 Monday ET

AYA Analytica finbuzz podcast channel on YouTube December 2019 In this podcast, we discuss several topical issues as of December 2019: (1) The Trump adm
2025-10-09 11:30:00 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
2019-01-19 12:38:00 Saturday ET

U.S. government shuts down again because House Democrats refuse to spend $5 billion on the border wall that would give President Trump great victory on his