Mathematical Finance with Applications

Mathematical Finance, Applied 📊

Mathematical Finance with Applications is a printed reprint of a Special Issue published in the Journal of Risk and Financial Management. Edited by Wing-Keung Wong, Xu Guo, and Sergio Ortobelli Lozza, the volume gathers peer-reviewed research that puts mathematical, statistical, and econometric tools to work on real financial questions.

The result is not a single textbook narrative, but a research collection: a place where portfolio theory, risk measurement, asset pricing, and market behavior meet probability, optimization, and data analysis.

What the Collection Covers

Across its articles, the book explores quantitative approaches to finance. Recurring themes include:

• Portfolio selection and optimization under uncertainty
• Risk measures such as CVaR and their use in financial decision-making
• Copula-based modeling and dependence structures in markets
• Stock market behavior, volatility, and return predictability
• Empirical studies that test mathematical models against market data
• Applications of probability, statistics, and computational methods in finance

From Theory to Market Evidence

The collection is particularly useful because it does not stop at theoretical derivations. Many contributions connect models to observed financial behavior, using market data, statistical estimation, and simulation to examine how well the mathematics holds up in practice. Readers can see how ideas from stochastic processes, risk theory, and quantitative analysis are adapted to questions about asset returns, investment choice, and financial risk.

Who Will Find It Useful

This reprint is aimed at readers with an interest in quantitative finance. It will be most relevant to researchers, graduate students, and professionals working in financial engineering, risk management, applied mathematics, financial econometrics, and portfolio analysis. It can also serve economists and data-oriented analysts who want a concentrated view of how advanced mathematical methods are applied to financial markets.

About the Edition

Published by MDPI as a printed edition of a Journal of Risk and Financial Management Special Issue, the book preserves the peer-reviewed character of the original articles while bringing them together in one volume. For readers who want a research-level survey of mathematical finance and its applications, this collection offers a focused, technically grounded place to begin.