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Applied Asset and Risk Management

2014-10-20 Business & Economics
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Release : 2014-10-20
Genre : Business & Economics
Kind : eBook
Book Rating : 44X/5 ( reviews)

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Book Synopsis Applied Asset and Risk Management by : Marcus Schulmerich

Download or read book Applied Asset and Risk Management written by Marcus Schulmerich. This book was released on 2014-10-20. Available in PDF, EPUB and Kindle. Book excerpt: This book is a guide to asset and risk management from a practical point of view. It is centered around two questions triggered by the global events on the stock markets since the middle of the last decade: - Why do crashes happen when in theory they should not? - How do investors deal with such crises in terms of their risk measurement and management and as a consequence, what are the implications for the chosen investment strategies? The book presents and discusses two different approaches to finance and investing, i.e., modern portfolio theory and behavioral finance, and provides an overview of stock market anomalies and historical crashes. It is intended to serve as a comprehensive introduction to asset and risk management for bachelor’s and master’s students in this field as well as for young professionals in the asset management industry. A key part of this book is the exercises to further demonstrate the concepts presented with examples and a step-by-step business case. An Excel file with the calculations and solutions for all 17 examples as well as all business case calculations can be downloaded at extras.springer.com.

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.

Asset and Risk Management

2005-09-27 Business & Economics
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Release : 2005-09-27
Genre : Business & Economics
Kind : eBook
Book Rating : 587/5 ( reviews)

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Book Synopsis Asset and Risk Management by : Louis Esch

Download or read book Asset and Risk Management written by Louis Esch. This book was released on 2005-09-27. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to study three essential components of modern finance – Risk Management, Asset Management and Asset and Liability Management, as well as the links that bind them together. It is divided into five parts: Part I sets out the financial and regulatory contexts that explain the rapid development of these three areas during the last few years and shows the ways in which the Risk Management function has developed recently in financial institutions. Part II is dedicated to the underlying theories of Asset Management and deals in depth with evaluation of financial assets and with theories relating to equities, bonds and options. Part III deals with a central theory of Risk Management, the general theory of Value at Risk or VaR, its estimation techniques and the setting up of the methodology. Part IV is the point at which Asset Management and Risk Management meet. It deals with Portfolio Risk Management (the application of risk management methods to private asset management), with an adaptation of Sharpe’s simple index method and the EGP method to suit VaR and application of the APT method to investment funds in terms of behavioural analysis. Part V is the point at which Risk Management and Asset and Liability Management (ALM) meet, and touches on techniques for measuring structural risks within the on and off balance sheet. The book is aimed both at financial professionals and at students whose studies contain a financial aspect. "Esch, Kieffer and Lopez have provided us with a comprehensive and well written treatise on risk. This is a must read, must keep volume for all those who need or aspire to a professional understanding of risk and its management." —Harry M Markowitz, San Diego, USA

Applied Risk Management Strategies in the field of M&A

2007-03-25 Business & Economics
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Release : 2007-03-25
Genre : Business & Economics
Kind : eBook
Book Rating : 139/5 ( reviews)

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Book Synopsis Applied Risk Management Strategies in the field of M&A by : Friederike Erhorn

Download or read book Applied Risk Management Strategies in the field of M&A written by Friederike Erhorn. This book was released on 2007-03-25. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2006 in the subject Business economics - Investment and Finance, grade: 1,3, University of Applied Sciences Essen, course: International Finance, language: English, abstract: Risk minimization and return maximization is what managers, shareholders and even private investors aspire. However, risk and return are highly correlated so that investors have to manage this trade-off. Risk management is thus essential both for investment managers and company executives. Within portfolio management and corporate practice risk can be reduced by diversification. In the “Risk Management” part Portfolio Theory – particularly Markowitz’ Portfolio Selection – is to be introduced and the most common measures of risk i.e. volatility, covariance, correlation and the beta factor are to be presented.The next section refers to Mergers and Acquisitions and starts with a general intro-duction of the topic. Afterwards, M&A is to be related to diversification as a means of risk minimization. Finally, by the example of ThyssenKrupp, the theoretical assumptions of the first two parts are to be applied.

Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management

2019-03-08 Business & Economics
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Release : 2019-03-08
Genre : Business & Economics
Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management by : Michele Leonardo Bianchi

Download or read book Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management written by Michele Leonardo Bianchi. This book was released on 2019-03-08. Available in PDF, EPUB and Kindle. Book excerpt: The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

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