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This study explores the patterns of investment information source use of three types of investors: on-line, traditional, and mixed investors. Testing the uses and gratifications leading to dependency hypothesis, information channels were grouped into three main categories: on-line investment information sources (OIS), traditional investment information sources (TIS), and interpersonal investment information sources (IPIS). Then, investors' information seeking behaviors and their dependence on the information sources with regard to their perceived market uncertainty were examined. The results of an ANOVA test failed to support the hypothesis that on-line investors are more uncertain about the investing environment. However, another ANOVA test showed that on-line investors have more diversified functional alternative information uses. No difference was found among investor groups in terms of traditional and interpersonal investment information source use, but on-line investors' use of on-line sources was significantly heavier than that of traditional investors. A correlation analysis also indicated that the more frequent use of on-line sources intensifies the dependence of investors on them.
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].
This book presents a personal financial decision making model based on six dominant decision making pathways. It outlines each pathway in detail before focusing on real estate investments in the second part of the book. Based on the authors extensive research into investment decision making, decision modeling and experimental psychology, strategies presented in this book will facilitate more successful investment decision making.
A complete guide to investing in and managing a portfolio of mortgage- and asset-backed securities Mortgage- and asset-backed securities are not as complex as they might seem. In fact, all of the information, financial models, and software needed to successfully invest in and manage a portfolio of these securities are available to the investment professional through open source software. Investing in Mortgage and Asset-Backed Securities + Website shows you how to achieve this goal. The book draws entirely on publicly available data and open source software to construct a complete analytic framework for investing in these securities. The analytic models used throughout the book either exist in the quantlib library, as an R package, or are programmed in R and incorporated into the analytic framework used. Examines the valuation of fixed-income securities—metrics, valuation framework, and return analysis Covers residential mortgage-backed securities—security cash flow, mortgage dollar roll, adjustable rate mortgages, and private label MBS Discusses prepayment modeling and the valuation of mortgage credit Presents mortgage-backed securities valuation techniques—pass-through valuation and interest rate models Engaging and informative, this book skillfully shows you how to build, rather than buy, models and proprietary analytical platforms that will allow you to invest in mortgage- and asset-backed securities.
Provides a structure for evaluating and assessing how well a federal agency is selecting and managing its information technology (IT) resources, and to identify specific areas where improvements can be made. Focuses on assessing an organization from 3 levels: the processes that the organization is using to select, manage, and evaluate its investments in IT; the data (cost, benefit, and risk) that are being used to make IT decisions; and the IT decisions that are being made using the defined processes and data. Includes: overview of the IT invest. mgmt. process; framework for assessing agencies' IT invest. decision-making; and criteria and questions.
A detailed, multi-disciplinary approach to investment analytics Portfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike. With complete and detailed coverage of portfolio analytics and modeling methods, this book is unique in its multi-disciplinary approach. Investment analytics involves the input of a variety of areas, and this guide provides the perspective of data management, modeling, software resources, and investment strategy to give you a truly comprehensive understanding of how today's firms approach the process. Real-world examples provide insight into analytics performed with vendor software, and references to analytics performed with open source software will prove useful to both students and practitioners. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big data, regulatory change, and increasing risk is forcing a need for a more coherent approach to all aspects of investment analytics, and this book provides the strong foundation and critical skills you need. Master the fundamental modeling concepts and widely used analytics Learn the latest trends in risk metrics, modeling, and investment strategies Get up to speed on the vendor and open-source software most commonly used Gain a multi-angle perspective on portfolio analytics at today's firms Identifying investment opportunities, keeping portfolios aligned with investment objectives, and monitoring risk and performance are all major functions of an investment firm that relies heavily on analytics output. This reliance will only increase in the face of market changes and increased regulatory pressure, and practitioners need a deep understanding of the latest methods and models used to build a robust investment strategy. Portfolio Construction and Analytics is an invaluable resource for portfolio management in any capacity.
In order to create value, companies must allocate their resources effectively and evaluate investment alternatives. This book examines, from a theoretical and empirical point of view, how managerial flexibility can be integrated into investment decisions through the optional approach. Unlike the traditional net present value method, the actual options take into account indeterminate elements. These lead to unpredictable cash flows at the time of the investment decision, especially in the context of complex and risky projects. The book puts into perspective the use of optional models and their interactions. The different categories of options are the subject of practical applications, through analysis of investment decisions where uncertainty is growing. Therefore, studies make it possible to consider the flexible nature of investment choices by integrating new information and risk over time.
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].
A complete guide to investing in and managing a portfolio of mortgage- and asset-backed securities Mortgage- and asset-backed securities are not as complex as they might seem. In fact, all of the information, financial models, and software needed to successfully invest in and manage a portfolio of these securities are available to the investment professional through open source software. Investing in Mortgage and Asset-Backed Securities + Website shows you how to achieve this goal. The book draws entirely on publicly available data and open source software to construct a complete analytic framework for investing in these securities. The analytic models used throughout the book either exist in the quantlib library, as an R package, or are programmed in R and incorporated into the analytic framework used. Examines the valuation of fixed-income securities--metrics, valuation framework, and return analysis Covers residential mortgage-backed securities--security cash flow, mortgage dollar roll, adjustable rate mortgages, and private label MBS Discusses prepayment modeling and the valuation of mortgage credit Presents mortgage-backed securities valuation techniques--pass-through valuation and interest rate models Engaging and informative, this book skillfully shows you how to build, rather than buy, models and proprietary analytical platforms that will allow you to invest in mortgage- and asset-backed securities.