Web Based Interactive Stock Pricing Using R Technique

• Main Author: 廖芝竹
• Other Authors: 蔡偉澎
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/29z79f

碩士 === 輔仁大學 === 金融與國際企業學系金融碩士在職專班 === 105 === This study combines big data analysis tools to build a webpage interactive stock evaluation model in R language, and uses the three-year stock price history information of twenty stocks to conduct a stock valuation verification using a five-year moving average as a benchmark for financial forecasting. Backtesting was conducted and the results showed that the total average estimation error was -9.1%, the standard deviation was about 28%, and the model was underestimated. Although the error was not ideal, it had been established to achieve a practical and effective web-interactive type. Stock evaluation model.