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This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very;
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Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics;
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research and practice, Quantitative Fund Management presents leading-edge theory and methods, along with their application in practical problems;
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This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very;
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research and practice, Quantitative Fund Management presents leading-edge theory and methods, along with their application in practical problems;
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, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an;
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own startup, covering topics like portfolio optimization and risk management.;
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In today's financial market, portfolio and risk management are facing an array of challenges. This is due to increasing levels of knowledge;
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This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description;
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of this all-in-one portfolio management resource contains an appendix with valuable figures, tables, equations, mathematical solutions, and;
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in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case;
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to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with;
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Filled with in-depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both;
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The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments;
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The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments;
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State of the art risk management techniques and practices supplemented with interactive analytics All too often risk management books focus;
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quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline;
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? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book;
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compensation, option theory and application, debt management and interest rate theory, and portfolio diversification.;
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assets under management. This book will help you demystify and hone the short selling craft, providing Python source code to construct a robust;
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applications in this book cover not only derivatives and asset pricing but also risk management including credit risk management and portfolio;
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Quantitative portfolio management has become a highly specialized discipline. Computing power and software improvements have advanced the;
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Quantitative portfolio management has become a highly specialized discipline. Computing power and software improvements have advanced the;
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active portfolio management Whether you're a portfolio managers, financial adviser, or student of investing, this follow-up to the authors;
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pricing models for exotic derivatives, to modern portfolio theory (MPT), energy portfolio management (EPM), to case studies dealing specifically;
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built up an impressive portfolio of projects and armed yourself with the skills you need to tackle Python projects in the real world. What you;
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management, earnings management, options and futures, equity market, and portfolio diversification. These topics are very useful for both;
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