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Fundamentals Of Institutional Asset Management

2020-10-12 Business & Economics
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Release : 2020-10-12
Genre : Business & Economics
Kind : eBook
Book Rating : 60X/5 ( reviews)

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Book Synopsis Fundamentals Of Institutional Asset Management by : Frank J Fabozzi

Download or read book Fundamentals Of Institutional Asset Management written by Frank J Fabozzi. This book was released on 2020-10-12. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated.

Fundamentals of Institutional Asset Management

2020-10 Business & Economics
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Release : 2020-10
Genre : Business & Economics
Kind : eBook
Book Rating : 036/5 ( reviews)

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Book Synopsis Fundamentals of Institutional Asset Management by : Frank J. Fabozzi

Download or read book Fundamentals of Institutional Asset Management written by Frank J. Fabozzi. This book was released on 2020-10. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated.

Fundamentals of Institutional Asset Management

2020 Asset allocation
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Release : 2020
Genre : Asset allocation
Kind : eBook
Book Rating : 590/5 ( reviews)

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Book Synopsis Fundamentals of Institutional Asset Management by : Frank J. Fabozzi

Download or read book Fundamentals of Institutional Asset Management written by Frank J. Fabozzi. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated"--Publisher's website.

Asset Management: Tools And Issues

2020-12-02 Business & Economics
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Release : 2020-12-02
Genre : Business & Economics
Kind : eBook
Book Rating : 761/5 ( reviews)

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Book Synopsis Asset Management: Tools And Issues by : Frank J Fabozzi

Download or read book Asset Management: Tools And Issues written by Frank J Fabozzi. This book was released on 2020-12-02. Available in PDF, EPUB and Kindle. Book excerpt: Long gone are the times when investors could make decisions based on intuition. Modern asset management draws on a wide-range of fields beyond financial theory: economics, financial accounting, econometrics/statistics, management science, operations research (optimization and Monte Carlo simulation), and more recently, data science (Big Data, machine learning, and artificial intelligence). The challenge in writing an institutional asset management book is that when tools from these different fields are applied in an investment strategy or an analytical framework for valuing securities, it is assumed that the reader is familiar with the fundamentals of these fields. Attempting to explain strategies and analytical concepts while also providing a primer on the tools from other fields is not the most effective way of describing the asset management process. Moreover, while an increasing number of investment models have been proposed in the asset management literature, there are challenges and issues in implementing these models. This book provides a description of the tools used in asset management as well as a more in-depth explanation of specialized topics and issues covered in the companion book, Fundamentals of Institutional Asset Management. The topics covered include the asset management business and its challenges, the basics of financial accounting, securitization technology, analytical tools (financial econometrics, Monte Carlo simulation, optimization models, and machine learning), alternative risk measures for asset allocation, securities finance, implementing quantitative research, quantitative equity strategies, transaction costs, multifactor models applied to equity and bond portfolio management, and backtesting methodologies. This pedagogic approach exposes the reader to the set of interdisciplinary tools that modern asset managers require in order to extract profits from data and processes.

Artificial Intelligence in Asset Management

2020-08-28 Business & Economics
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Release : 2020-08-28
Genre : Business & Economics
Kind : eBook
Book Rating : 03X/5 ( reviews)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram. This book was released on 2020-08-28. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

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