Application of Gray Relational Analysis Method and Neural Networks on The Real Estate Investment Trust Price Forecasting

• Main Authors: Chun-hui Lin, 林春暉
• Other Authors: Peitsang Wu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/92796657772033188704

碩士 === 義守大學 === 工業管理學系 === 102 === In recent years, Real Estate Investment Trust (REIT) has become a popular investment around the world. REIT has the advantages of inflation-resistance as well as real estate and high return on stock market. Researchers of Taiwan institute Economic Research expect that the situation of investment in real estate will become worse in the second half of 2013 and the Burst of Real Estate Bubbles could happen around 2015. Therefore, by considering how to reduce the risk of investing real estate and anticipating return rate correctly, those techniques not only can help the investors choose their investment but also keep them from the effect of the Burst of Real Estate Bubbles. This research combines the factors of acroeconomics and the performance of investing real estate in the past focuses on real estate in Taiwan by using Grey Relational Analysis and Artificial Neural Network. Therefore, the main purpose of prediction is to estimate the oncoming events or situations in advance and provide the best information to management level to detect those uncertain conditions and help reduce the risks during decision-making process. After that, apply the result on production output assessment to increase the accuracy of forecast and provide the consultation to related industries for production forecasting.