原油價格組合預測模型之建構

Forecasting Crude Oil Price: A Forecast Combination Approach

林正偉(Cheng-Wei Lin)

指導教授 ： 陳旭昇

國立臺灣大學/社會科學院/經濟學研究所/碩士(2016年)

https://doi.org/10.6342/NTU201601209

摘要

本文試以多種組合預測方法，評估多個文獻中曾提及的預測變數對原油月均價、月底價的預測效果，使用資料期間為1986:M2至2015:M10。根據Working (1960)闡述月均價格變動的前後期將會有相關性，本研究導入一個新變數用於預測原油月均價，其結果顯著優於no-change預測，使MSPE降低幅度達39%。此外，以過去文獻提及的預測變數來預測原油月底價時，預測效果集中於特定期間，無法於整體評估期間保持預測能力。同時，文獻上計算MSPE時有兩種算法，在預測效果於期間內並非均勻分布的情況下，將可能使兩種算法所得的MSPE Ratio有所差異，且此MSPE Ratio差異的大小亦與評估期間的選取有關。

關鍵字

組合預測 ； 油價預測 ； 月均價 ； 月底價 ； no-change 預測 ； AIC ； BIC ； AICc ； HQ ； HDBIC ； CV ； MMA ； JMA ； PIA ； MSPE ； MAPE ； Working effect

並列摘要

This article uses monthly data from 1986:M2 to 2016:M10 to examine the predictive power for both monthly-averaged oil prices and end-of-month oil prices by multiple forecast combination methods. According to Working (1960) , our work derive a new predictor of monthly-averaged oil prices which can significantly reduce the MSPE by 39% compare with no-change forecast. When forecasting the end-of-month oil prices, the predictive power only exists in a certain period, can't hold the power for the whole evaluation period. Our work explain the relationship between MSPE calculated with two different ways. Because the predictive power only exists in a certain period, there would be some different between MSPE Ratio of two kinds of MSPE calculation ways.This difference would be correlated with the choice of evaluation period.

並列關鍵字

Forecast combination ； Forecast oil price ； Monthly-averaged price ； End-of-month price ； No-change forecast ； AIC ； BIC ； AICc ； HQ ； HDBIC ； CV ； MMA ； JMA ； PIA ； MSPE ； MAPE ； Working effect

參考文獻

[1] Hirotugu Akaike. A new look at the statistical model identification. Automatic Control, IEEE Transactions on, 19(6):716–723, 1974.

[2] Ron Alquist and Lutz Kilian. What do we learn from the price of crude oil futures? Journal of Applied Econometrics, 25(4):539–573, 2010.

[3] Ron Alquist, Lutz Kilian, Robert J Vigfusson, et al. Forecasting the price of oil. Handbook of economic forecasting, 2:427–507, 2013.

[4] Robert B Barsky and Lutz Kilian. Do we really know that oil caused the great stagflation? a monetary alternative. In NBER Macroeconomics Annual 2001, Volume 16, pages 137–198. MIT Press, 2002.

[5] John M Bates and Clive WJ Granger. The combination of forecasts. Or, pages 451–468, 1969.