Investment Management And Technology
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| Author | : Söhnke M. Bartram |
| Publisher | : CFA Institute Research Foundation |
| Total Pages | : 95 |
| Release | : 2020-08-28 |
| Genre | : Business & Economics |
| ISBN | : 195292703X |
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.
| Author | : Susanne Chishti |
| Publisher | : John Wiley & Sons |
| Total Pages | : 944 |
| Release | : 2018-04-20 |
| Genre | : Business & Economics |
| ISBN | : 1119362229 |
Get a handle on disruption, innovation and opportunity in investment technology The digital evolution is enabling the creation of sophisticated software solutions that make money management more accessible, affordable and eponymous. Full automation is attractive to investors at an early stage of wealth accumulation, but hybrid models are of interest to investors who control larger amounts of wealth, particularly those who have enough wealth to be able to efficiently diversify their holdings. Investors can now outperform their benchmarks more easily using the latest tech tools. The WEALTHTECH Book is the only comprehensive guide of its kind to the disruption, innovation and opportunity in technology in the investment management sector. It is an invaluable source of information for entrepreneurs, innovators, investors, insurers, analysts and consultants working in or interested in investing in this space. • Explains how the wealth management sector is being affected by competition from low-cost robo-advisors • Explores technology and start-up company disruption and how to delight customers while managing their assets • Explains how to achieve better returns using the latest fintech innovation • Includes inspirational success stories and new business models • Details overall market dynamics The WealthTech Book is essential reading for investment and fund managers, asset allocators, family offices, hedge, venture capital and private equity funds and entrepreneurs and start-ups.
| Author | : Bryan Maizlish |
| Publisher | : John Wiley & Sons |
| Total Pages | : 375 |
| Release | : 2010-10-07 |
| Genre | : Business & Economics |
| ISBN | : 1118005058 |
Praise for IT Portfolio Management Step-by-Step "Bryan Maizlish and Robert Handler bring their deep experience in IT 'value realization' to one of the most absent of all IT management practices--portfolio management. They capture the essence of universally proven investment practices and apply them to the most difficult of challenges--returning high strategic and dollar payoffs from an enterprise's IT department. The reader will find many new and rewarding insights to making their IT investments finally return market leading results." --John C. Reece, Chairman and CEO, John C. Reece & Associates, LLC Former deputy commissioner for modernization and CIO of the IRS "IT Portfolio Management describes in great detail the critical aspects, know-how, practical examples, key insights, and best practices to improve operational efficiency, corporate agility, and business competitiveness. It eloquently illustrates the methods of building and integrating a portfolio of IT investments to ensure the realization of maximum value and benefit, and to fully leverage the value of all IT assets. Whether you are getting started or building on your initial success in IT portfolio management, this book will provide you information on how to build and implement an effective IT portfolio management strategy." --David Mitchell, President and CEO, webMethods, Inc. "I found IT Portfolio Management very easy to read, and it highlights many of the seminal aspects and best practices from financial portfolio management. It is an important book for executive, business, and IT managers." --Michael J. Montgomery, President, Montgomery & Co. "IT Portfolio Management details a comprehensive framework and process showing how to align business and IT for superior value. Maizlish and Handler have the depth of experience, knowledge, and insight needed to tackle the challenges and opportunities companies face in optimizing their IT investment portfolios. This is an exceptionally important book for executive leadership and IT business managers, especially those wanting to build a process-managed enterprise." --Peter Fingar, Executive Partner Greystone Group, coauthor of The Real-Time Enterprise and Business Process Management (BPM): The Third Wave "A must-read for the non-IT manager who needs to understand the complexity and challenges of managing an IT portfolio. The portfolio management techniques, analysis tools, and planning can be applied to any project or function." --Richard "Max" Maksimoski, Senior Director R&D, The Scotts Company "This book provides an excellent framework and real-world based approach for implementing IT portfolio management. It is a must-read for every CIO staff considering how to strategically and operationally impact their company's bottom line." --Donavan R. Hardenbrook, New Product Development Professional, Intel Corporation
| Author | : Marc J. Schniederjans |
| Publisher | : World Scientific |
| Total Pages | : 465 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 981428257X |
From the individual to the largest organization, everyone today has to make investments in IT. Making a smart investment that will best satisfy all the necessary decision-making criteria requires careful and inclusive analysis. This textbook provides an up-to-date, in-depth understanding of the methodologies available to aid in this complex process of multi-criteria decision-making. It guides readers on the process of technology acquisition ? what methods to use to make IT investment decisions, how to choose the technology and justify its selection, and how the decision will impact the organization.Unique to this textbook are both financial investment models and more complex decision-making models from the field of management science so that readers can extend the analysis benefits to enhance and confirm their IT investment choices. The wide range of methodologies featured in the book gives readers the opportunity to customize their best-fit solutions for their unique IT decision situation. This textbook is especially ideal for educators and students involved in programs dealing with technology management, operations management, applied finance, operations research, and industrial engineering.A complimentary copy of the ?Instructor's Manual and Test Bank? and the PowerPoint presentations of the text materials are available for all instructors who adopt this book as a course text. Please send your request to [email protected].
| Author | : Jeffrey C. Steinhoff |
| Publisher | : DIANE Publishing |
| Total Pages | : 174 |
| Release | : 2000-11 |
| Genre | : |
| ISBN | : 9780756703127 |
The Clinger-Cohen Act of 1996 was enacted to address many of the problems related to Fed. information technology mgmt. In 1997 GAO developed guidance that provides a method for evaluating & assessing how well a Fed. agency is selecting & managing its information technology resources & identifies specific areas where improve. can be made. The Info. Technology Investment Mgmt. (ITIM) framework enhances this guidance by identifying critical processes for successful information technology invest. & organizing these processes into a framework of increasingly mature stages. Chapters: overview, components, & uses of ITIM; uses of ITIM; & critical process for the ITIM stages. Charts & tables.
| Author | : Zvi Bodie |
| Publisher | : |
| Total Pages | : 31 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
This paper analyzes how the practice of investment management has been affected over the past 45 years by technological progress, market innovations, and advances in finance theory. Over the next few decades, as retirement-income systems around the world make the transition from quot;pay-as-you-goquot; social security to self-directed retirement accounts, the investment-management business is likely to undergo a radical transformation. There will be a growing demand for customized, integrated investment and insurance products. Financial engineering will play a major role in this transformation.
| Author | : Edmund W. Fitzpatrick |
| Publisher | : |
| Total Pages | : 245 |
| Release | : 2005 |
| Genre | : Capital investments |
| ISBN | : 9780975964309 |
| Author | : Al Naqvi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 323 |
| Release | : 2021-02-09 |
| Genre | : Business & Economics |
| ISBN | : 1119601827 |
Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.
| Author | : United States. General Accounting Office. Accounting and Information Management Division |
| Publisher | : |
| Total Pages | : 172 |
| Release | : 2000 |
| Genre | : Administrative agencies |
| ISBN | : |
If managed wisely, investments in information technology (IT) can enrich people's lives and improve organizational performance. For example, during the last decade the Internet has matured from being a technical novelty to a national resource where citizens can visit the Library of Congress or file their tax returns. Some organizations have realized substantial improvements in processing data and information by switching from centralized mainframe computing to decentralized personal computers linked by local area networks. The ability of software applications to locate and correlate relevant data in a data warehouse permits organizations to discover unknown fiscal or physical resource relationships and thus provide appropriate assistance where there had been none. The Clinger-Cohen Act of 1996' was enacted to address many of the problems related to federal IT management.
| Author | : Andrew Kumiega |
| Publisher | : Academic Press |
| Total Pages | : 304 |
| Release | : 2011-08-29 |
| Genre | : Business & Economics |
| ISBN | : 0080559913 |
The financial markets industry is at the same crossroads as the automotive industry in the late 1970s. Margins are collapsing and customization is rapidly increasing. The automotive industry turned to quality and its no coincidence that in the money management industry many of the spectacular failures have been due largely to problems in quality control. The financial industry in on the verge of a quality revolution. New and old firms alike are creating new investment vehicles and new strategies that are radically changing the nature of the industry. To compete, mutual funds, hedge fund industries, banks and proprietary trading firms are being forced to quicklyy research, test and implement trade selection and execution systems. And, just as in the early stages of factory automation, quality suffers and leads to defects. Many financial firms fall short of quality, lacking processes and methodologies for proper development and evaluation of trading and investment systems. Authors Kumiega and Van Vliet present a new step-by-step methodology for such development. Their methodology (called K Presents a robust process engineering framework for developing and evaluating trading and investment systems Best practices along the step-by-step process will mitigate project risk, model risk, and ensure data quality Includes a quality model for backtesting and managing market risk of working systems
