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

It can be practical for the U.S. to impose the 2% Warren wealth tax on the rich.

Dan Rochefort

2019-02-03 13:39:00 Sunday ET

It can be practical for the U.S. to impose the 2% Warren wealth tax on the rich.

It can be practical for the U.S. to impose the 2% wealth tax on the rich. Democratic Senator Elizabeth Warren proposes a 2% wealth tax on the richest Americ

+See More

White House economic advisor Gary Cohn resigns due to his opposition to President Trump's protectionist tariff stance.

Peter Prince

2018-03-02 12:34:00 Friday ET

White House economic advisor Gary Cohn resigns due to his opposition to President Trump's protectionist tariff stance.

White House top economic advisor Gary Cohn resigns due to his opposition to President Trump's recent protectionist decision on steel and aluminum tariff

+See More

Fed Chair Janet Yellen says the current high stock market valuation does not mean overvaluation.

Jonah Whanau

2017-12-11 08:42:00 Monday ET

 Fed Chair Janet Yellen says the current high stock market valuation does not mean overvaluation.

Fed Chair Janet Yellen says the current high stock market valuation does not mean overvaluation. A stock market quick fire sale would pose minimal risk to t

+See More

Jim Cramer provides 5 key reasons against the purchase and use of cryptocurrencies such as Bitcoin, Ethereum, and Ripple.

Becky Berkman

2017-11-23 10:42:00 Thursday ET

Jim Cramer provides 5 key reasons against the purchase and use of cryptocurrencies such as Bitcoin, Ethereum, and Ripple.

As the TV host of Mad Money, Jim Cramer provides 5 key reasons against the purchase and use of cryptocurrencies such as Bitcoin. First, no one knows the ano

+See More

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Becky Berkman

2019-03-21 12:33:00 Thursday ET

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA). These tech titans have become

+See More

Analytic business competitors apply smart data science to support their distinctive capabilities and strategic advantages.

Peter Prince

2020-11-24 09:30:00 Tuesday ET

Analytic business competitors apply smart data science to support their distinctive capabilities and strategic advantages.

Many analytic business competitors can apply smart data science to support their distinctive capabilities and strategic advantages. Thomas Davenport and

+See More