Investment Analysis

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The Experts below are selected from a list of 6297 Experts worldwide ranked by ideXlab platform

Tobias Hahn - One of the best experts on this subject based on the ideXlab platform.

E Runkledavid - One of the best experts on this subject based on the ideXlab platform.

  • Quantitative Investment Analysis, Third Edition
    2015
    Co-Authors: A Defuscorichard, W Mcleaveydennis, E Pintojerald, E Runkledavid
    Abstract:

    Quantitative Investment Analysis focuses on some key tools that are needed by today’s professional investor. In addition to classic time value of money, discounted cash flow applications, and probability material, there are two aspects that can be of value over traditional thinking.

  • Quantitative Investment Analysis, Second Edition
    2008
    Co-Authors: A Defuscorichard, W Mcleaveydennis, E Pintojerald, E Runkledavid
    Abstract:

    This globally relevant guide will help you understand quantitative methods and apply them to today's Investment process. Topics include regression, time series, and multifactor models, and introduce a variety of relevant, Investment-oriented examples. The book emphasizes the even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is so critical to the learning process. To enhance your understanding of the tools and techniques presented here, two tools are available: Quantitative Investment Analysis, Second Edition Workbook — a comprehensive study guide that contains challenging problems and solutions related to the concepts developed here in Quantitative Investment Analysis, and the Instant Lecture Kit — a complementary teaching and programming resource consisting of a set of annotated PowerPoint slides designed to accompany each chapter of the readings, providing high quality educational content and simplifying complex ideas with clear, real-world exa...

Frank Figge - One of the best experts on this subject based on the ideXlab platform.

Blake Johnson - One of the best experts on this subject based on the ideXlab platform.

  • modeling energy technology choices which Investment Analysis tools are appropriate
    Energy Policy, 1994
    Co-Authors: Blake Johnson
    Abstract:

    Abstract A variety of tools from modern Investment theory appear to hold promise for unraveling observed energy technology Investment behavior that often appears anomalous when analyzed using traditional Investment Analysis methods. This paper reviews the assumptions and important insights of the Investment theories most commonly suggested as candidates for explaining the apparent ‘energy technology Investment paradox’. The applicability of each theory is considered in the light of important aspects of energy technology Investment problems, such as sunk costs, uncertainty and imperfect information. The theories addressed include the capital asset pricing model, the arbitrage pricing theory, and the theory of irreversible Investment. Enhanced net present value methods are also considered. The relevance of the capital asset pricing model and the arbitrage pricing theory, given the special characteristics of energy technology Investment decisions, appears limited to the value of the theories' conceptual insights. In contrast, the theory of irreversible Investment and enhanced net present value are found to provide more useful modeling and Analysis methods, each capable of providing important insights into the ‘energy technology Investment paradox’.

Richard W. Selby - One of the best experts on this subject based on the ideXlab platform.

  • Enabling Economics-Driven System Development through Return-on-Investment Analysis of Software Defect Prevention
    47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, 2009
    Co-Authors: Richard W. Selby
    Abstract:

    Economics-driven system development utilizes strategic frameworks, models, and data to identify options, evaluate benefits, understand tradeoffs, and execute decisions to help enable successful system development. Return-on-Investment Analysis methods provide one perspective for quantifying the economic value from system development techniques. This research investigates the usefulness of return-on-Investment Analysis methods for software engineering and applies them to evaluate the benefits from software peer reviews for defect prevention. This work also defines the disciplined process steps that constitute the particular software peer review technique used in the environment that provides data for this study.

  • Measurement-Driven Return-on-Investment Analysis for Software Defect Prevention
    AIAA SPACE 2008 Conference & Exposition, 2008
    Co-Authors: Richard W. Selby
    Abstract:

    Economics-driven system development utilizes strategic frameworks, models, and data to identify options, evaluate benefits, understand tradeoffs, and execute decisions to help enable successful system development. Return-on-Investment Analysis methods provide one perspective for quantifying the economic value from system development techniques. This research investigates the usefulness of return-on-Investment Analysis methods for software engineering and applies them to evaluate the benefits from software peer reviews for defect prevention. This work also defines the disciplined process steps that constitute the particular software peer review technique used in the environment that provides data for this study.