Call For Papers

The ICQMIA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Investment Strategies , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Quantitative methods in investment analysis
02
Impact of big data on investment strategies
03
Machine learning applications in finance
04
Risk assessment using quantitative techniques
05
Behavioral finance and quantitative analysis
06
Performance evaluation of quantitative models
07
Algorithmic trading strategies and techniques
08
Quantitative portfolio optimization methods
09
Impact of economic indicators on investments
10
Trends in quantitative finance research
11
Use of simulations in investment analysis
12
Challenges in quantitative finance applications
13
Integration of AI in investment analysis
14
Quantitative methods for risk management
15
Future trends in quantitative investment strategies
16
Behavioral biases in quantitative decision-making
17
Impact of market anomalies on quantitative models
18
Quantitative approaches to asset pricing
19
Investment forecasting using quantitative methods
20
Ethical considerations in quantitative finance

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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