Advances in Asset Management: Strategies, Technologies, and Industry Applications
Author: Adolfo Crespo Márquez
Publisher: Springer Nature
Published:
Total Pages: 233
ISBN-13: 3031523911
DOWNLOAD EBOOKPosts
Global Asset Management
Author: M. Pinedo
Publisher: Springer
Published: 2013-08-29
Total Pages: 670
ISBN-13: 1137328878
DOWNLOAD EBOOKThis book focuses on all major aspects of the asset management industry including its regulations, strategies, processes, applied technologies and risks. It provides a serious resource for readers seeking greater depth and alternative opinions on specific industry developments, and breadth for specialists interested in the dynamics of the industry.
Artificial Intelligence in Asset Management
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
Published: 2020-08-28
Total Pages: 95
ISBN-13: 195292703X
DOWNLOAD EBOOKArtificial 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.
Advances in Asset Management and Condition Monitoring
Author: Andrew Ball
Publisher: Springer Nature
Published: 2020-08-27
Total Pages: 1566
ISBN-13: 3030577457
DOWNLOAD EBOOKThis book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques.
Advanced Maintenance Modelling for Asset Management
Author: Adolfo Crespo Márquez
Publisher: Springer
Published: 2017-07-12
Total Pages: 473
ISBN-13: 3319580450
DOWNLOAD EBOOKThis book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
Machine Learning for Asset Management
Author: Emmanuel Jurczenko
Publisher: John Wiley & Sons
Published: 2020-10-06
Total Pages: 460
ISBN-13: 1786305445
DOWNLOAD EBOOKThis new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.
Value Based and Intelligent Asset Management
Author: Adolfo Crespo Márquez
Publisher: Springer
Published: 2019-06-29
Total Pages: 403
ISBN-13: 3030207048
DOWNLOAD EBOOKThe fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: • The strategic understanding of value-based asset management in a company; • An operational definition of value, as a concept on the background of value-based asset management; • The identification of intelligent asset management, with the aim to frame a set of “tools” recommended to support the asset-related decision-making process over the asset lifecycle; • The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.
Cases on Optimizing the Asset Management Process
Author: González-Prida, Vicente
Publisher: IGI Global
Published: 2021-10-15
Total Pages: 478
ISBN-13: 1799879453
DOWNLOAD EBOOKIt is critical to improve the asset management system implementation as well as economics and industrial decision making to ensure that a business may move smoothly internally. Maintenance management should be aligned to the activities of maintenance in accordance with key business strategies, which must be designed under the comprehensive approach of an asset management process. After transforming the priorities of the business into priorities of maintenance, maintenance managers will use their medium-team strategies to tackle potential weaknesses in the maintenance of the equipment in accordance with these objectives. Cases on Optimizing the Asset Management Process explains and summarizes the processes and the reference frame necessary for the implementation of the Maintenance Management Model (MMM). This book acts as an overview of the current state of the art in asset management, providing innovative tools and practices from the fourth industrial revolution. Presenting topics like criticality analysis, physical asset maintenance, and unified modelling language, this text is essential for industrial and manufacturing engineers, plant supervisors, academicians, researchers, advanced-level students, technology developers, and managers who make decisions in this field.
Recent Advancements in Computational Finance and Business Analytics
Author: Rangan Gupta
Publisher: Springer Nature
Published:
Total Pages: 634
ISBN-13: 303170598X
DOWNLOAD EBOOKAsset Management
Author: Maria Cristina Arcuri
Publisher:
Published: 2019
Total Pages: 0
ISBN-13: 9781536142464
DOWNLOAD EBOOKAsset management can be defined as the selection and maintenance over time of listed and unlisted financial instruments, with the aim of obtaining the best possible return for a certain level of risk.Nowadays, the asset management industry is under pressure for various reasons, including reductions in margins, constant regulatory, macro-economic and political changes, and new business models such as robo-advice.This book aims to provide an overview of asset management by focusing on some of the main issues in the sector. It gathers contributions on the system, strategies, opportunities and challenges.Chapter One highlights the importance of adopting an enterprise approach to the implementation of the asset management system, especially for large organizations. Chapter Two focuses on active and passive portfolio investment strategies. Active strategies aim to beat the market, while passive strategies support the efficient market theory by implying that a rational investor should buy the market as it is. Empirical evidence, in fact, supports both strategies. Chapter Three discusses a quantitative model applied to equity indexes corrected in order to consider currency risk. Chapter Four compares the portfolio characteristics and performance measures of social impact mutual funds, which implement different sustainable and responsible investment strategies. Chapter Five deals with impact investing, which is a niche within the Socially Responsible Investing (SRI) parameters. Chapter Six examines the asset allocation strategies of Sovereign Wealth Funds (SWFs), which are state-owned investment funds or entities that have emerged as important investors in global equity. Finally, Chapter Seven provides background information on art investment and the combination of art and finance, with the focus on the demand for investment in art, art advisory models and art funds.
