查詢結果分析
相關文獻
- Empirical Study of Forecasting Performance on ARMA-GARCH VaR Model
- Unveil Value at Risk--Approaches and Issues
- 債券型基金風險值於績效評估之應用
- 市場風險值模型之驗證及比較分析--以股票、外匯、債券為例
- Using Three Value-at-Risk Models to Measure the Financial Risk of Various Portfolios Including Taiwan and Hong Kong Stock Indices and International Currencies during the Asian Crisis Period
- 銀行市場風險與適足資本之研究--內部模型法
- 選擇權風險值之衡量
- 增進歷史模擬法估計風險值準確性之研究
- 資產報酬率分配對風險值計算之影響
- 金融控股公司股價報酬風險與績效評估--以GARCH模型修正歷史模擬法之應用
頁籤選單縮合
題名 | Empirical Study of Forecasting Performance on ARMA-GARCH VaR Model=ARMA-GARCH風險值模型預測績效實證 |
---|---|
作者 | 洪儒瑤; 古永嘉; 康健廷; | 書刊名 | 中華技術學院學報 |
卷期 | 34 民95.06 |
頁次 | 頁13-35 |
分類號 | 562.2 |
關鍵詞 | 風險值; 歷史模擬法; 蒙地卡羅法; 變異數-共變異數法; VaR; Value at risk; Historical simulation; Monte carlo simulation; Variance/covariance approach; ARMA-GARCH; |
語文 | 英文(English) |
中文摘要 | 1996年巴賽爾銀行監理委員會(BCBS)提出巴賽爾協議(Basel Accord)的修正案,將市場風險因素納入考量,以估算銀行機構應計提的資本準備,同時允許銀行擇取自行開發VaR內部模式或直接採用Basel提供的標準模式。我國財政部於1998年5月修正「銀行自有資本與風險性資產之範圍計算方法及未達標準之限制盈餘分配辦法」,將市場風險納入資本適足性之衡量,並於該年7月明訂銀行計算市場風險之方法有二:標準法與自有模型法 (即VaR模型)。本文以ARMA(m,n)+GARCH(p,q)風險值模型來預測銀行的VaR值,並與最常被使用的三種模型--歷史模擬法、蒙地卡羅法與變異數-共變異數法作一比對,用以比較模型的預測效果。經過實證比較,發現ARMA-GARCH模型的整體表現比其他三個模型好。 |
英文摘要 | Risk management has caught sight gradually since the Basel Accord on BCBS claimed banking institutes to build a systematic risk management procedures to manage quality and procedures of making loans in 1988. Later, the Group of Thirty published report of Value at Risk in 1993 meanwhile J.P. Morgan issued four-fifteen report in 1994 had put the VaR into indicator of risk management. In this study we exploit and ARMA (m,n) + GFARCH (p,q) model to predict the VaR of six commercial banks in Taiwan. To firmly decide the effectiveness we also evaluate the predicting performances of the model and compare with the three mostly used model Historical Simulation, Monte Carlo Simulation, Variance/Covariance Approach. Via the empirical results, we find the overall performances of ARMA (m,n) + GARCH (p,q) model are better than the other three models. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。