查詢結果分析
來源資料
頁籤選單縮合
題 名 | 應用時間序列ARMA模型於資產配置之研究=A Study of Applying Time Series Arma Model to Asset Allocation |
---|---|
作 者 | 陳信宏; 韋伯韜; 蔡憲唐; 傅懷慧; | 書刊名 | 中國統計學報 |
卷 期 | 43:1 2005.03[民94.03] |
頁 次 | 頁15-31 |
分類號 | 563.5 |
關鍵詞 | 資產配置; 時間序列; 效率前緣; 平均數-變異數投資組合模型; Asset allocation; Time series; Efficient frontier; Mean-variance portfolio model; |
語 文 | 中文(Chinese) |
中文摘要 | 過去應用馬可維茲平均數-變異數投資組合模型(MV模型)之相關研究,經常是依據過去的歷史資料分析投資工具的期望報酬與標準差,並假設這些投資工具未來的表現會與過去相同,而計算出效率前緣之投資組合。但事實上,過去的金融與經濟環境不一定能持續到未來,所以最佳資產配置的選擇雖可參考過去的經驗,但仍應對未來金融資產的報酬率做預測,並進行調整以降低資產配置決策偏誤的可能性。本文利用時間序列的ARMA模型對各項金融工具未來的報酬率先行預測,再利用每一季的預測結果計算最佳資產配置,建立動態資產配置模型。實證結果顯示,動態資產配置模型之獲利績效與穩定性明顯優於傳統MV模型所建立的靜態資產配置,其適用性也得到確認。 |
英文摘要 | Over the past years, a considerable number of studies have been made on Markowitz Mean-Variance Portfolio Model (MV model).They usually estimated means and standard deviations of investment instruments’ return rates by historical data, and assumed that the performance of these investment instruments in the future will be similar to that in the past to obtain the portfolios on the efficient frontier. 1n fact, the financial and economic environment may change in the future. Therefore, we should forecast the return rates of asset classes to reduce the bias of asset allocation decisions and acquire the optimal asset allocation. This article uses Time Series ARMA model to forecast the return rates of asset categories, and build up the dynamic asset allocation model to find the optimal asset allocation by the forecasting results. The empirical resu1ts show that the dynamic asset allocation model has better return and stability than traditional static asset allocation model. In addition, the usefulness of the dynamic asset allocation model is confirmed. |
本系統中英文摘要資訊取自各篇刊載內容。