World QUANTUM Summit 2026

World QUANTUM Summit 2026World QUANTUM Summit 2026World QUANTUM Summit 2026

 

Quantitative Advances in Business, Finance, and Sustainable Economics: Econometric Insights for a Digital and Green Future

Hybrid Mode: 15-17 April 2026

World QUANTUM Summit 2026

World QUANTUM Summit 2026World QUANTUM Summit 2026World QUANTUM Summit 2026

 

Quantitative Advances in Business, Finance, and Sustainable Economics: Econometric Insights for a Digital and Green Future

Hybrid Mode: 15-17 April 2026

🏛️ About the Summit

Our Mission

 To foster global collaboration in advancing quantitative, econometric, and data-driven research that empowers sustainable business, financial innovation, and evidence-based economic policymaking for a resilient future. 

🎓 Objectives

Promote methodological innovation in econometrics and quantitative analysis.

Integrate AI, data science, and econometric modelling in business and finance.

Encourage sustainable, inclusive, and technology-driven policy research.

Provide a global platform for early-career and senior researchers to network and publish high-impact

Bridge the gap between theory, empirical application, and policy relevance.

Our Partners

🧩 Conference Tracks

🧩 Track 1: Advanced Econometrics & Data Science

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

💰 Track 2: Digital Finance, FinTech & CBDC Modelling

 

  • Structural VAR, VECM, ARDL, and GMM applications in business and finance
     
  • Non-linear and asymmetric econometric models for macro- and micro-analysis
     
  • Machine-learning-assisted econometrics: hybrid predictive frameworks
     
  • Bayesian, quantile, and panel threshold models for uncertainty analysis
     
  • Big-data econometrics and cloud-based computation for large-scale datasets
     
  • Diagnostic testing, causality, and robustness in econometric inference
     
  • Forecasting volatility, risk, and shocks using time-series analytics
     

💰 Track 2: Digital Finance, FinTech & CBDC Modelling

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

💰 Track 2: Digital Finance, FinTech & CBDC Modelling

 

  • Econometric modelling of FinTech adoption and diffusion across economies
     
  • Central Bank Digital Currencies (CBDCs): macroeconomic and behavioural effects
     
  • Payment ecosystem analytics: UPI, Line Pay, and cross-border digital systems
     
  • Cryptocurrency volatility, network spillovers, and regulation economics
     
  • Digital trust, consumer behaviour, and platform economics
     
  • Econometric evaluation of RegTech, InsurTech, and DeFi ecosystems
     
  • Financial inclusion and digital literacy modelling through econometric lenses
     

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

 

  • Econometric determinants of green investment and sustainable finance
     
  • ESG disclosure and corporate performance: panel data analysis
     
  • Environmental Kuznets Curve (EKC) and dynamic decarbonisation models
     
  • Carbon pricing, renewable-energy transitions, and firm-level efficiency
     
  • AI and econometric modelling for climate-risk and resilience assessment
     
  • Empirical analysis of SDGs and environmental policy outcomes
     
  • Green insurance, carbonomics, and sustainability-linked credit evaluation
     

🏗️ Track 5: Corporate and Financial Econometrics

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

🌱 Track 3: Green Finance, ESG & Sustainability Analytics

 

  • Capital-structure dynamics, firm-value modelling, and risk analytics
     
  • Volatility spillovers, contagion, and event-study econometrics
     
  • Asset pricing and portfolio optimisation using advanced models
     
  • Earnings management, performance persistence, and governance indicators
     
  • Panel-data analysis of mergers, acquisitions, and restructuring
     
  • Financial stability and systemic-risk modelling using econometric tools
     
  • AI-integrated econometric models for investment decision-making

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

 

  • Econometric assessment of infrastructure satisfaction and policy outcomes
     
  • Spatial econometrics for regional inequality, migration, and development
     
  • Affordable-housing finance, policy-support modelling, and livelihood impacts
     
  • Public–private partnership (PPP) evaluation through quantitative models
     
  • Regional development and tourism: panel and structural modelling approaches
     
  • Defence-linked industrial clusters and local economic multipliers
     
  • Environmental impact modelling for infrastructure projects in hill regions

🧭 Track 6: Policy, Governance & Macro-Economic Modelling

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

🏗️ Track 5: Infrastructure, Housing & Regional Development Models

 

  • DSGE, CGE, and system-dynamics models for fiscal and monetary policy
     
  • Policy transmission mechanisms and structural-break analysis
     
  • Public-bank performance and cashless-economy transitions
     
  • Econometric analysis of inequality, taxation, and public spending
     
  • Trade openness, FDI, and growth linkages using panel-data approaches
     
  • Policy innovation for AI governance and data-driven regulation
     
  • Cross-country macro-financial linkages and global risk contagion

🧠 Track 7: Behavioural and Experimental Economics

🤖 Track 8: AI, Machine Learning & Quantitative Decision Models

🤖 Track 8: AI, Machine Learning & Quantitative Decision Models

 

  • Econometric estimation of behavioural biases in consumer and investor choices
     
  • Experimental and quasi-experimental methods in policy evaluation
     
  • Choice modelling (logit/probit) for sustainable consumption patterns
     
  • Trust, fairness, and cooperation: quantitative behavioural analysis
     
  • Behavioural drivers of ESG, FinTech, and green-finance adoption
     
  • Neuro-econometric approaches to financial and marketing decisions
     
  • Evidence-based interventions for financial literacy and inclusion

🤖 Track 8: AI, Machine Learning & Quantitative Decision Models

🤖 Track 8: AI, Machine Learning & Quantitative Decision Models

🤖 Track 8: AI, Machine Learning & Quantitative Decision Models

 

  • Explainable AI (XAI) integration in econometric forecasting
     
  • Deep-learning applications for time-series and panel-data prediction
     
  • Decision-support systems and quantitative modelling for management strategy
     
  • Multi-criteria decision-making (AHP, TOPSIS, DEA) linked with econometric analysis
     
  • AI-driven simulation models for business, healthcare, and sustainability
     
  • Data-driven optimization for policy and corporate strategy
     
  • Ethical AI, algorithmic fairness, and data governance in quantitative modelling

ImPORTANT DATES

Paper Submission Opens

 15th November 2025  

Papers Due (Last Date )

15th January 2026

Acceptance Notification

25th February 2026

Final Manuscript of Submission Due

 As per the notification

Registration Due

 As per the notification

Contact Us

Thank you for considering us for your family's educational needs.

When you fill out the appointment request form, please be sure to upload the form you filled out for the current school year.

Message us on WhatsApp

CHITRANSH RESEARCH AND DEVELOPMENT SOCIETY

Hours

Open today

09:00 am – 05:00 pm

Join Our Mailing List

Be the first to hear about upcoming classes, special events, and course registrations.

CHITRANSH RESEARCH AND DEVELOPMENT SOCIETY

Copyright © 2025 CHITRANSH RESEARCH AND DEVELOPMENT SOCIETY - All Rights Reserved.

Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept