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Journal of Mathematical Finance and Risk Management (JMFRM) is an international, peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic platform for scholars and practitioners to discuss the issues of mathematical finance, business, economics, risk management across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.

 

General Information of JMFRM

ISSN: 3080-9983 (Print), ISSN: 3080-9991 (Online)
Submission Email: sub@jmfrm.org

 

Indexing & Abstracting

Harvard Library, Crossref, Scilit, ResearchGate, Semantic Scholar, PKP-LN, Google, DOI, Open Alex, etc.

 

Aims & Scope

Journal of Mathematical Finance and Risk Management is dedicated to publish empirical, academic, theoretical and review research articles that contribute to the practice in mathematical finance, business, economics, risk management and related topics. The topics related to this journal include but are not limited to:

• Auditing & Business
• Business economics
• Business management
• Business policy
• Business research methods
• Business theories
• Case studies
• Corporate finance
• Corporate governance
• Corporate strategy
• Crisis communications
• Crisis leadership
• Disaster control and management
• Disaster preparedness
• Disaster prevention
• Disaster relief and recovery
• Economic growth and development
• Enterprise risk management
• Entrepreneurship & Innovations
• Environmental threats
• Finance and investment
• Financial accounting and reporting

• Financial risk management
• Financial statistics
• General management
• Global business
• Governance, risk, regulatory compliance
• Infrastructure crisis
• Mathematical Finance
• Operations management
• Organizational behavior
• Personal finance
• Pricing theory of securities and portfolio
• Professional practices of business continuity
• Project management
• Public administration
• Quantitative economics
• Risk management, decision technology
• Solutions to PDEs
• Stochastic optimization and control
• Stochastic processes
• Strategic management
• Study of Natural Calamities
• Total quality management