FORECASTING STOCK PRICES ON THE LQ45 INDEX USING THE VARIMAX METHOD
نویسندگان
چکیده
منابع مشابه
Forecasting UK stock prices
The Vector Autoregressive (VAR) model, the Error Correction Model (ECM), and the Kalman Filter Model (KFM) are used to forecast UK stock prices. The forecasting performance of the three models is compared using out of sample forecasting. The results show that the forecasting performance of the ECM is better than that of the VAR and the KFM, and that the VAR performs a forecasting better than th...
متن کاملbuckling of viscoelastic composite plates using the finite strip method
در سال های اخیر، تقاضای استفاده از تئوری خطی ویسکوالاستیسیته بیشتر شده است. با افزایش استفاده از کامپوزیت های پیشرفته در صنایع هوایی و همچنین استفاده روزافزون از مواد پلیمری، اهمیت روش های دقیق طراحی و تحلیل چنین ساختارهایی بیشتر شده است. این مواد جدید از خودشان رفتارهای مکانیکی ارائه می دهند که با تئوری های الاستیسیته و ویسکوزیته، نمی توان آن ها را توصیف کرد. این مواد، خواص ویسکوالاستیک دارند....
Forecasting FTSE Index Using Global Stock Markets
Using data from July 1997 to July 2007, we examine if the FTSE index is affected by the past behavior of the DOW, DAX, NIKKEI, Hang Seng and Shanghai indices. We compare three different methods of estimating regression parameters. The results show that the FTSE lagged variable and the NIKKEI and DOW past performance are good indicators of the future performance of the FTSE. The models produce d...
متن کاملthe impact of using inspirational quotes on abstract vocabulary recall
the present study is an attempt to investigate the potential impact of inspirational quotes on improving english abstract vocabulary recall. to achieve this goal, a multiple choice language proficiency test of 60 items including vocabulary and grammar component was administered to a sample of 63 second-semester male and female students whose age ranged between 17 to 22 and they were studying en...
15 صفحه اولForecasting stock prices using Genetic Programming and Chance Discovery
In recent years the computers have shown to be a powerful tool in financial forecasting. Many machine learning techniques have been utilized to predict movements in financial markets. Machine learning classifiers involve extending the past experiences into the future. However the rareness of some events makes difficult to create a model that detect them. For example bubbles burst and crashes ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MEDIA STATISTIKA
سال: 2021
ISSN: 2477-0647,1979-3693
DOI: 10.14710/medstat.14.1.98-107