Commercial Real Estate Analysis and Investments, International Edition (with CD-ROM) - Brossura

The well-known and respected authorship team of Geltner and Miller bring you a new edition of what has become the undisputed and authoritative resource on commercial real estate analysis and investment. Streamlined and completely updated with expanded coverage of corporate and international real estate investment, this upper-level real estate text presents the essential concepts, principles and tools for the analysis of commercial real estate (income producing) from an investment perspective. Once again, "Commercial Real Estate Analysis And Investments, 2e", bridges the gap between mainstream finance and the current cutting edge of professional real estate practice, in order to address the implications of their key differences. This new edition continues to integrate relevant aspects of urban and financial economics to provide users with a fundamental analytical understanding and application of real estate investments - now using a student version of ARGUS[registered] software on CD-ROM included with the book. ARGUS software is a Windows-based program used extensively throughout the real estate investment industry to solve complex investment and valuation problems. Also included free on CD is a student version of Crystal Ball(r), professional-grade software used to perform risk analysis on commercial investments. Contributing author Piet Eichholtz from the University of Maasstricht contributes an entire chapter that explores international real estate investments, both opportunistically and structurally, by outlining elements for developing and implementing real estate investments successfully abroad. Jim Clayton from the University of Cincinnati thoroughly revised and updated the finance coverage and end-of-chapters questions throughout. In this edition Geltner and Miller enhance their unmatched pedagogy by adding in a discussion of the real options application to real estate development and streamlining the discussion of data returns.