Applied Mathematical Finance is a specialized journal dedicated to the publication of original research at the intersection of mathematics and finance. The journal emphasizes the practical application of mathematical and statistical tools to solve real-world problems in the financial industry.
Key areas covered include derivative pricing, risk management, portfolio optimization, and financial econometrics. The journal features articles that develop new mathematical models, analyze financial data, and propose innovative strategies for financial decision-making. Indexed in databases such as Scopus and Web of Science, Applied Mathematical Finance ensures broad visibility for published research.
By bridging the gap between theory and practice, Applied Mathematical Finance serves as a vital resource for academics and practitioners in the financial sector. Submit your work to contribute to this dynamic field and advance the use of mathematical techniques in finance.