A Hybrid Method to Improve Forecasting Accuracy : Application to J-REIT(commerce, hotel, and logistics type)stock market prices
この論文をさがす
抄録
P(論文)
Given that the equation of the exponential smoothing method (ESM) is equivalent to the (1,1) order ARMA model equation, a new method of estimation of the smoothing constant in the exponential smoothing method was proposed before by us which satisfied the minimum variance of forecasting error. Generally, the smoothing constant is selected arbitrarily, but in this paper we utilize the above theoretical solution. Firstly, we estimate the ARMA model parameter and then estimate the smoothing constants. Thus the theoretical solution is derived in a simple way and may be utilized in various fields. Furthermore, combining the trend removing method with this method, we aim to improve forecasting accuracy. This new method is applied to the stock market price data of Japan Real Estate Investment Trust (J-REIT), obtaining some interesting results.
収録刊行物
-
- 国際研究論叢 : 大阪国際大学紀要
-
国際研究論叢 : 大阪国際大学紀要 25 (2), 13-32, 2012-01-31
守口 : 大阪国際大学 ; 1989-
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1050282813829751808
-
- NII論文ID
- 110008918421
-
- NII書誌ID
- AN10110523
-
- ISSN
- 09153586
-
- NDL書誌ID
- 023513511
-
- 本文言語コード
- en
-
- 資料種別
- departmental bulletin paper
-
- データソース種別
-
- IRDB
- NDL
- CiNii Articles