Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective.
Women, Wealth and Giving: The Virtuous Legacy of the Boom Generation
Answering women's questions of how and why to give from the heart, Women, Wealth & Giving helps you understand the models that work best for charitable giving and how these models fit into your legacy mission, whether you've earned, inherited or married into your wealth.
Integral Methods in Science and Engineering, Volume 2: Computational Methods
Mathematical models—including those based on ordinary, partial differential, integral, and integro-differential equations—are indispensable tools for studying the physical world and its natural manifestations. Because of the usefulness of these models, it is critical for practitioners to be able to find their solutions by analytic and/or computational means.
While most standard economic models of international trade assume full employment, Carl Davidson and Steven Matusz have argued over the past two decades that this reliance on full-employment modeling is misleading and ill-equipped to tackle many important trade-related questions. This book brings together the authors' pioneering work in creating models that more accurately reflect the real-world connections between international trade and labor markets.
