A New Measurement of Sectoral Concentration of Credit Portfolios
Author(s) -
Yibing Chen,
Xianhua Wei,
Lingling Zhang
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.05.157
Subject(s) - weighting , computer science , construct (python library) , credit risk , systematic risk , panel data , measure (data warehouse) , econometrics , data mining , business , actuarial science , economics , medicine , radiology , programming language
In this paper, we construct a new measurement of sectoral concentration of credit portfolios--risk-adjusted HHI. This measurement takes systematic risk of different sectors into consideration by weighting them with their betas. This paper investigates the effects of sectoral concentration on the Chinese banks’ risk using panel data on 16 Chinese listed commercial banks during the 2007-2011 period and compares the results of the new measurement with those of more conventional measure HHI. We find that sectoral concentration is associated with higher risk, and our new measurement performs well to capture the change of systematic risk of sectors and exposures to sectors at the same time. Our analysis may provide important implication for regulators and policy makers of the banks in developing markets
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom