Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a follow-up to the author's bestselling Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Risk Modeling for Determining Value and Decision Making presents comprehensive examples of risk/uncertainty analyses from a broad range of applications.

"Advances in Management Accounting" ("AMA") publishes well-developed articles on a variety of current topics in management accounting that are relevant to researchers in both practice and academe. As one of the premier management accounting research journals, "AMA" is well poised to meet the needs of management accounting scholars.

"Applications of Management Science" is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids the dissemination of actual applications of management science in both the public and private sectors. Volume 13 is directed toward the application of management science to financial management, specifically in portfolio analysis and in productivity management such as Data Envelopment Analysis (DEA).

This practical, real-world guide gives investors all the tools they need to make wise decisions when weighing the value and potential of investment properties. Written for old pros as well as novice investors, this friendly, straightforward guide walks readers step by step through every stage of property analysis. Whether you're buying or selling, investing in big commercial properties or single-family rentals, you'll find expert guidance and handy resources on every aspect of real estate finance.

DISCOVER THE FUTURE OF BUSINESS
In Turning the Future into Revenue, Glen Hiemstra, founder of Futurist.com and noted expert on emerging business opportunities, explores how our changing world will transform private enterprise and public policy. From shifting demographics to global warming to new energy policies, change is coming. Turning the Future into Revenue shows how these new realities can be turned into profitable new ventures.

An introduction to the metric system and its applications in quantity measurements in building construction projects, this reference is tailored to meet the needs of students or busy professionals adapting to metrication in the U.S. as a result of direct involvement in international and government projects.

With folio investing, you can build your own "mini" mutual fund containing up to 50 stocks in companies you select.
For investors with modest sums to invest, owning individual stocks once meant facing the risk of putting all their investment eggs in a limited number of baskets. Mutual funds provided investors with one more option, allowing them to spread their risk by owning a broad cross-section of companies. However, with mutual funds, investors have no control over which companies they own or how and when shares are sold, and they often end up with a tax burden based on the activities of the overall fund.

Leveraging the Private Sector offers the first sustained analysis of public and private sector initiatives designed to encourage firms and industries to use their own management expertise to improve their environmental performance. Cary Coglianese and Jennifer Nash bring together original empirical studies by the nation's leading experts on recent public and private sector experiments.

Bigwig Briefs: Career Options for MBAs includes knowledge excerpts from some of the biggest name executives in the world including C-level executives from AT&T, Prudential, Credite Suisse First Boston, KPMG, Deloitte & Touche, Excite, Buy.com, Doubleclick, Softbank, Sequoia Capital and other established and startup companies in a variety of industries.

Interest Rate Models Theory and Practice In implementing mathematical models for pricing interest rate derivatives one has to address a number of practical issues such as the choice of a satisfactory model, the calibration to market data, the implementation of efficient routines, and so on.