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- W3203564882 abstract "Due to the closure experienced during the pandemic, many investors divert their investments to different exchanges. In this sense, it has been observed that while sectors such as transportation, banking, and services have seriously lost value, especially the technology sector has come forward and gained value. In this research, we propose a consolidated forecast system to estimate the price of the Istanbul Stock Exchange (BIST) Technology Index (XUTEK) which consists of 19 technology companies traded in BIST, and technology stocks. Stock movements during the pandemic period between 01.01.2020 and 01.09.2020, when technology stocks gained significant value, are analyzed in order to forecast the price of XUTEK. For each technology stock and XUTEK index, five different time series models are modeled namely, simple exponential smoothing, Holt’s linear trend, Holt–Winter’s additive, Holt–Winter’s multiplicative, and ARIMA. After that, five different time series models are consolidated with six diverse consolidation methods, namely, SA, SATA, MB, VB, VBP2, VBP3 in order to get more robust stock price prediction model. Experiment results demonstrate that the proposed consolidation model presents remarkable results for predicting the price of XUTEK index and 19 technology stocks." @default.
- W3203564882 created "2021-10-11" @default.
- W3203564882 creator A5060746555 @default.
- W3203564882 date "2021-10-06" @default.
- W3203564882 modified "2023-10-14" @default.
- W3203564882 title "Consolidation of Time Series Models for the Prediction of XUTEK Index and Technology Stocks in Istanbul Stock Exchange (BIST) during Pandemic Period" @default.
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- W3203564882 doi "https://doi.org/10.34248/bsengineering.985872" @default.
- W3203564882 hasPublicationYear "2021" @default.
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