Chuck A. Arize

Chuck A. Arize is a Regents Professor and Lion Legacy Distinguished Professor at East Texas A&M University's College of Business, Department of Economics and Finance. With over three decades of continuous service since 1990, he has established himself as a leading scholar in econometrics and financial economics. His academic journey includes earning an MBA and doctorate in Applied Econometrics/Statistics, with prior professional experience at VIRCO Corporation and Spalding Statistical Services.

Professor Arize's research expertise focuses on asymmetric relationships in banking, finance, and international economics, utilizing advanced econometric techniques including Economic and Financial Time Series analysis, Cointegration, Vector-Error Correction modeling, ARDL, and NARDL Estimators. His scholarly output includes 289 publications with over 714,000 reads and 4,487 citations, including recognition by prestigious institutions such as the World Bank, IMF, EEC, Harvard University, and African organizations.

His recent research examines nonlinear dynamics in stock markets, exchange rate volatility effects on trade flows, monetary policy transmission in African economies, and sustainable financial development across emerging markets. Professor Arize's work demonstrates particular strength in analyzing asymmetric responses in economic systems, with extensive country-specific studies focusing on African economies and U.S. trade relationships.

His scholarly recognition includes:

• Eminent Faculty Scholar Award (2019)
• David Talbot Outstanding Professor of the Year Award (2017)
• Lion Legacy Endowed Distinguished Professor (2016)
• David Brown Lifetime Teaching Achievement Award (2016)
• Regents Professor in the Texas A&M University System (2000)

Professor Arize maintains an active research laboratory and collaborates extensively with colleagues across multiple institutions, with a notable research partnership network spanning Nigeria, Greece, and the United States. His work continues to advance methodological approaches in nonlinear econometric modeling while addressing pressing economic questions in both developed and developing economies.