Abstract
Adaptive Conjoint Analysis (ACA) is a well established PC-based market research technique (Johnson, 1987; Green et al., 1990) used in marketing to determine the optimal features of projected, as yet, undeveloped products and services. The premise of ACA is that every product and service has multiple attributes, each with a different utility value to the consumer and that individual values can be quantified, summed, and forecasting in a market simulation perspective. Our paper intends to show an ACA application to the real estate market and it is organised in the followed sections: the first compares the performances of different formats of CA n CVA (Conjoint Value Analysis), ACA (Adaptive Conjoint Analysis) and CBC (Choice Based Analysis) n given the availability of several alternative procedures for consumer preferences measurement and it focuses on the best format when a larger and qualitatives number of attributes do exist. The second section presents the case-study: the real estate market area of Turin (Italy) and its own present trend within the market cycle, while the third shows the results of the empirical observations and stress on the problem of real estate market simulation and demand forecasting. Portfolio Management Intensity and Performance Implications: An International
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
