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About the Journal
Journal of Emerging Strategies in New Economics (ISSN: 2949-8309) is at the forefront of analyzing the economic development of emerging economies in the global context, fostering discussion on research with significant, long-term impact. It explores the causal factors, potential, and limits of economic policy in Eastern Europe, Eurasia, Africa, Asia, Latin America, and the Middle East, projecting possible economic developments in light of growing opportunities. Booming markets, a massive potential for local consumer markets, and abundant low-cost labor make emerging economies key players in international trade and business.
Topics covered include
- Microeconomics
- Macroeconomics
- Monetary economics
- Labour markets
- Investment
- Business Economics
- Industrial policy
- Central banking
- Commercial banks
- Exchange rates
- Open economy macroeconomics
- Finance and financial markets
- International trade
- Economic integration
- Economics and Law
Objectives:
The objectives of JESNE are to provide a global platform to facilitate communication between policymakers, academics, scholars, international economic organizations, and consultants working on the issues of interest to newly emerging countries. Given a rapidly changing field, JESNE encourages original scientific contributions to policy-relevant analysis and articles which are empirical in nature, with emphasis on the application of modern economic theory and methods of quantitative analysis. It applies a rigid peer-reviewed approach, which aims to publish only very selective, substantive new empirical, methodological, and theoretical research.
Readership:
JESNE provides a vehicle to help researchers and policymakers, experts working at international organizations, and academic institutions. The journal provides a forum for discussion of issues of interest to an international readership.
Contents:
Journal of Emerging Strategies in New Economics (ISSN: 2949-8309) publishes original papers, review papers, technical reports, case studies, conference reports, and book reviews.
Journal of Emerging Strategies in New Economics is a nonprofit Journal dedicated to synthesizing and integrating knowledge for the progress of science and the benefit of society.
Our articles capture current understanding of a topic, including what is well supported and what is controversial; set the work in historical context; highlight the major questions that remain to be addressed and the likely course of research in upcoming years; and outline the practical applications and general significance of research to society.
Journal of Emerging Strategies in New Economics articles include researchers who want to keep abreast of their field and integrate this information with their own activities; researchers who want an introduction to new fields, with a view to developing an interface between different areas of research; students at all levels who want to gain a thorough understanding of a topic; and business people, journalists, policy makers, practitioners, patients and patient advocates, and other who wish to be informed about developments in research.
Contributions to this journal are invited which analyse and discuss well-being, welfare, the nature of the good society, governance and economics, economic psychology; international economics; public finance; health economics; education; economic growth and technological change; political economy, and individual economic motivation, and the associated normative and ethical implications of topics related to economics
Editor-in-Chief:
Dr. Ojonugwa Usman,
Department of Economics, Istanbul Ticaret University, Istanbul 34445, Turkey
Email: ousman@ticaret.edu.tr
Current Issue
Articles
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PREDICTING THE INSURANCE CLAIM BY EACH USER USING MACHINE LEARNING ALGORITHMS
Abstract View : 359PDF downloads: 233 -
PREDICTIONS OF CUSTOMER BEHAVIOUR OVER ECOMMERCE WEBSITES AND ANTICIPATING THEIR INTENTION
Abstract View : 299pdf downloads: 188 -
STOCK PRICE PREDICTION FROM NEWS HEADLINES USING MACHINE LEARNING MODELS
Abstract View : 175pdf downloads: 85 -
STOCK PRICE PREDICTION USING TIME SERIES FORECASTING BY MACHINE LEARNING MODELS
Abstract View : 144pdf downloads: 74 -
GDP PREDICTION FOR COUNTRIES USING MACHINE LEARNING MODELS
Abstract View : 244pdf downloads: 262