Nexus of Risk-taking Behavior, Capitalization, and Profitability of Chinese Banks: Evidence from Panel Threshold Regression

2018 ◽  
Vol 12 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Muhammad Umar ◽  
Gang Sun

Purpose The study aims to explore macroeconomic and banking industry-specific determinants of non-performing loans (NPLs) for Chinese banks, spanning from 2005 to 2014. Design/methodology/approach It uses three different models to explore the determinants. The first model has only macroeconomic variables as regressors; the second model has only banking industry-specific variables as independent variables; and the third model has macroeconomic and banking industry-specific variables as explanatory variables. Furthermore, system generalized method of moments estimation technique has been used to measure the coefficients of independent variables. Findings Gross domestic product (GDP) growth rate, effective interest rate, inflation rate, foreign exchange rate, type of bank, bank risk-taking behavior, ownership concentration, leverage and credit quality are significant determinants of NPLs in Chinese banks. Furthermore, the determinants of NPLs for listed and unlisted banks differ. Determinants of NPLs of listed banks include GDP, bank risk-taking behavior and credit quality. However, variation in NPLs of unlisted banks is explained by GDP, inflation rate, foreign exchange rate, bank risk-taking behavior, leverage and credit quality. Originality/value This study also finds that using only macroeconomic or banking industry-specific variables as regressors is not a right approach because it may lead to erroneous conclusions.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


2014 ◽  
Author(s):  
Ari B. Deutsch ◽  
Michael Koren ◽  
Rachel Moody

2012 ◽  
Author(s):  
K. Bryant Smalley ◽  
Jacob C. Warren ◽  
Lisa Watson-Johnson ◽  
Nikki Barefoot ◽  
Sean Fowler

2010 ◽  
Author(s):  
Stacy Simonsen ◽  
Krista Fritson ◽  
Katharine A. Mcintyre ◽  
Shawna Mowrer

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