Library

Home > Library > Algorithmic credit portfolio segmentation

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.

Blog+More

Pinterest files a $12 billion IPO due in mid-2019.

Laura Hermes

2019-03-09 12:43:00 Saturday ET

Pinterest files a $12 billion IPO due in mid-2019.

Pinterest files a $12 billion IPO due in mid-2019. This tech unicorn allows users to pin-and-browse images through its social media app and website. Pintere

+See More

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 fundamental analysis of Oracle (U.S. stock symbol: $ORCL).

Chanel Holden

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 fundamental analysis of Oracle (U.S. stock symbol: $ORCL).

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

+See More

European Central Bank designs its current monetary policy reaction function and interest rate forward guidance in response to low inflation.

Peter Prince

2019-04-11 07:35:00 Thursday ET

European Central Bank designs its current monetary policy reaction function and interest rate forward guidance in response to low inflation.

European Central Bank designs its current monetary policy reaction function and interest rate forward guidance in response to key delays in inflation conver

+See More

Warren Buffett shares his key insights into life, success, money, and interpersonal communication.

Rose Prince

2018-09-09 13:42:00 Sunday ET

Warren Buffett shares his key insights into life, success, money, and interpersonal communication.

Warren Buffett shares his key insights into life, success, money, and interpersonal communication. Institutional money managers and retail investors ca

+See More

AYA finbuzz podcast offers fresh insights into the latest stock market issues and economic trends for better and wiser investment decisions.

Amy Hamilton

2019-06-30 12:37:00 Sunday ET

AYA finbuzz podcast offers fresh insights into the latest stock market issues and economic trends for better and wiser investment decisions.

AYA Analytica finbuzz podcast channel on YouTube June 2019 In this podcast, we discuss several topical issues as of June 2019: (1) Federal Reserve h

+See More

Stanford computer science overlords Larry Page and Sergey Brin design Google as an Internet search company.

Charlene Vos

2020-03-05 08:28:00 Thursday ET

Stanford computer science overlords Larry Page and Sergey Brin design Google as an Internet search company.

The Stanford computer science overlords Larry Page and Sergey Brin design and develop Google as an Internet search company. Janet Lowe (2009) Google s

+See More