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Quantitative portfolio management has become a highly specialized discipline. Computing power and software improvements have advanced the field to a level that would not have been thinkable when Harry Markowitz began the modern era of quantitative portfolio management in 1952. In addition to raw computing power, major advances in financial economics and econometrics have shaped academia and the financial industry over the last 60 years. While the idea of a general theory of finance is still only a distant hope, asset managers now have tools in the financial engineering kit that address specific problems in their industry. The Oxford Handbook of Quantitative Asset Management consists of seven sections that explore major themes in current theoretical and practical use. These themes span all aspects of a modern quantitative investment organization. Contributions from academics and practitioners working in leading investment management organizations bring together the key theoretical and practical aspects of the field to provide a comprehensive overview of the major developments in the area.
This handbook investigates the evolution and current state of quantitative asset management by synthesizing academic theory with practical industry applications. The authors, Bernd Scherer and Kenneth Winston, curate contributions from a diverse group of academics and industry practitioners to address the complexities of modern portfolio management. The text examines how advancements in computing power, financial economics, and econometrics have transformed the field since the mid-20th century, providing a structured overview of the tools currently available to financial engineers.
What You Will Find
Scope Limits
Experts recognize this volume as a comprehensive reference for professionals and researchers operating within the quantitative investment sector. Readers frequently note the technical density of the prose, which assumes a high level of prior knowledge in econometrics and financial mathematics.
Page Count:
529
Publication Date:
2011-01-01
Publisher:
OUP Oxford
ISBN-10:
0191624055
ISBN-13:
9780191624056
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