2026 Int'l Conference on Big Data & Econometrics(BDE 2026)

Conference Background

2026 Int'l Conference on Big Data & Econometrics (BDE 2026) will be held during April 17-19, 2026 in Xi'an, China. This Conference will cover issues on Causal Inference Techniques, Machine Learning in Econometrics, Real-Time Data Analysis, Text and Sentiment Analysis and other related fields. The conference is designed to serve as a platform for experts and scholars to share the latest research findings, discuss innovative approaches, and exchange advanced research methodologies in related fields.

Invited Speakers

Prof. Elmo Tambosi Filho

Federal University of Santa Catarina, Brazil

Title: CAPM CONDITIONAL MODEL: GENERAL OVERVIEW

Dr. Edward Bace

Middlesex University London

Title: Value at Risk: Lessons Learned

Prof. Muhammad Mohiuddin

Laval University, Canada

Title: Advanced Technology, Trade war and reshaping of the global value chains

Prof. MUDDASSAR SARFRAZ

Zhejiang Shuren University, China

Prof. Amalendu Bhunia

Department of Commerce, University of Kalyani, India

Title: AI-Based Volatility Forecasting: Evidence from Chinese and Indian Stock Markets

Dr. Mohd Norazmi bin Nordin

Universiti Kebangsaan Malaysia (The National University of Malaysia), Malaysia

Prof. Mustafa Z. Younis

Jackson State University, USA

Title: A Review of Health care Reform in USA & the Affordable Care Act (CA)

Associate Professor Qiuyun ZHAO

Institute for Global Health and Development, Peking University, China

Dr. Abdul Manaf bin Bohari

Universiti Utara Malaysia, Malaysia

Prof. Sudhir K. Jain

Department of Management Studies Indian Institute of Technology Delhi, India

Dr. Gitika Nagrath

DAV University Jalandhar (Punjab), India

Title: Predicting India’s Tourism Future in Global Landscape: A Comparative ARIMA based Forecast of International Tourist Arrivals

Prof. Jiang Guo

California State University, Los Angeles

Title: From Crisis Management to Market Intelligence: Transformative AI Applications Across Modern Economies

Prof. Madya Dr. Md Rabiul Islam

University of Utara, Malaysia

Associate Professor Alexey Mikhaylov

Department of Science, Financial Faculty, Financial University under the Government of the Russian Federation, Moscow, Russia

Title: Revisit energy consumption, economic growth and carbon dioxide emissions links in transition countries using a new developed Quantile_on_Quantile approach

Assistant Professor Alireza Goli

Department of Industrial Engineering and Future Studies at the University of Isfahan, Iran

Title: Biofuel Supply Chains: A New Concept For Energy Demand

Prof. Rajeev Singhal

School of Business Administration, Oakland University, USA

Title: Idiosyncratic Risk and Return

Associate Professor Rohail Hassan

Othman Yeop Abdullah Graduate School of Business (OYAGSB),Universiti Utara Malaysia, Malaysia

Title: Integrating ESG into Corporate Strategy: Driving Sustainable Value Creation

Associate Professor Mahdi Roozbeh

Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Iran

Title: Modeling extensive big data sets using robust penalized least-squares and support vector regression

Dr. Rabia Najaf

Sunway University, Malaysia

Dr. Kashif Abbass

Nanjing University of Science and Technology, China

Title: Climate Change, Fiscal Action, and Financial Access: Unpacking Emissions Drivers in Asian Economies

Call For Papers

2026 Int'l Conference on Big Data & Econometrics (BDE 2026) will be held during April 17-19, 2026 in Xi'an, China. You are invited to submit papers and participate in our academic exchange.

(The conference is soliciting state-of-the-art research papers in the following areas of interest:)

Causal Inference Techniques

Machine Learning in Econometrics

Real-Time Data Analysis

Text and Sentiment Analysis

Alternative Data Applications

Data Privacy and Ethics

Predictive Modeling

Robustness and Model Validation

High-Dimensional Econometrics

Natural Language Processing (NLP)

Time Series Innovations

Structural Estimation with Big Data

Spatial Econometrics 2.0

Digital Experimentation

Financial Econometrics

Measurement Challenges

Network Econometrics

Computational Innovations

Deep Learning Applications

Policy Analysis and Evaluation

Reproducibility & Ethics

Emerging Data Types