Selecting Stocks Using A Genetic Algorithm: A Case of Real Estate Investment Trusts (REITs)

ผู้แต่ง

  • Kaveepong Lertwachara College of Innovative Education, Thammasat University, Bangkok 10200, Thailand

คำสำคัญ:

analysts' recommendation, genetic algorithm, cluster analysis, real estate investment trusts

บทคัดย่อ

     Many investors invest according to analysts' recommendations, but some studies detect sizable abnormal returns associated with those recommendations. A tool that imitates the mechanism of the recommendation process should enable individual investors to formulate a profitable investment strategy and to select stocks that analysts have not covered. This paper presents a genetic algorithm (GA) method for identifying attractive stocks. The GA method has shown promising performance as a tool with which investors can develop a profitable investment strategy. GA is able to pick stocks with a "buy" rating at 62.50%, compared to 36.45% for stocks picked at random.

ดาวน์โหลด

เผยแพร่แล้ว

2007-04-30

รูปแบบการอ้างอิง

Lertwachara, K. (2007). Selecting Stocks Using A Genetic Algorithm: A Case of Real Estate Investment Trusts (REITs). Kasetsart Journal of Social Sciences, 28(1), 106–116. สืบค้น จาก https://so04.tci-thaijo.org/index.php/kjss/article/view/246430

ฉบับ

ประเภทบทความ

Research articles