多重結構變動下恐慌指標與國際油價的動態關係

The Dynamic Relationships between Fear Gauges and Crude Oil Price under Multiple Structural Changes

10.3966/054696002019120106005

蔡維(Wei Tsai)；林正寶(Jeng-Bau Lin)；陳芳質(Fang-Chin Chen)

多重結構變動 ； 恐慌指標 ； 逐步程序檢定法 ； 國際政經事件 ； 短線投機價差 ； Multiple Structural Changes ； Fear Gauge ； Sequential Procedure Methods ； Global Political and Economic Events ； Short-Term Speculation Spread

應用經濟論叢

106期（2019 / 12 / 01）

149-180 - 177

繁體中文

國際重大政經事件會造成油價的經濟行為發生結構性的變動，若未考慮結構性變動，將使得模型檢定結果產生偏誤，有可能導致錯誤的解釋及推論。本文旧在探討結構性變動下油價與原油波動指標（OVX）及股市波動指標（VIX）間的長短期動態關係，研究結果檢測出6個結構變動點，並分割為7個子期間，各期間皆有重大國際政經事件發生。研究發現：在樣本全期間油價與VIX具有共整合關係，分別檢測7個子期間第二、三、四、六及第七子期間具共整合關係；油價與OVX在第二、四及第六子期間具共整合關係。其次，在樣本全期間油價與OVX為雙向領先-落後關係，但在同一期間油價僅單向領先VIX；再分別檢測7個子期間的因果關係，第一、二子期間僅VIX領先油價，第五、六子期間僅OVX單向領先油價。最後，在樣本全期間油價與OVX彼此受到各自落後15期的影響，VIX受到油價落後8期的影響；就7個子期間而言，在第一、二子期間VIX分別受到油價落後2期、3期的影響；在第五、六子期間油價皆受到OVX落後2期的影響，其經濟意涵是：恐慌指標提供的資訊在樣本子期間相對於樣本全期間的市場效率較高。因此，本文建議國際原油市場投資人，除了必須留意國際重大政經事件對油價為利多或利空的影響外，在短期尚需考慮油價與其波動性的短期動態關係。

Global political and economic events usually cause the structural changes of crude oil price behavior. If this problem concerning structural changes is not considered, the testing result would produce estimation bias which leads to incorrect explanation and inference. This paper investigates the long-run and short-run dynamic relationships between crude oil price and Crude oil volatility index (OVX) and between the price and stock market volatility index (VIX). The empirical result finds six structural change points by which further divide into seven sub-periods that relevant events occurred per sub-period. This study also finds that, because of the structural changes there exists the ARDL-ECM co-integrating relationship between oil price and VIX. If the seven sub-period data are inspected one by one, this relationships hold for the 2^(nd), 3^(rd), 4^(th), 6^(th) and 7^(th) sub-periods, while this relationships between oil price and OVX hold for the 2^(nd), 4^(th) and 6^(th) sub-periods. Furthermore, for the entire observation period, the two-way Granger causality holds for the price, but the price Granger causes VIX only. If the seven sub-period data are inspected again, VIX Granger causes the price only for the 1^(st) and 2^(nd) sub-period, but OVX Granger causes the price only for the 5^(th) and 6^(th) sub-periods. Finally, for the entire observation period, the price and OVX are affected by their 15 period lags each other, but VIX is affected by 8 period lag of the price. If the seven sub-period data are examined, VIX is affected by 2 period lag and 3 period lag of the price for the 1^(st) and 2^(nd) sub-period, respectively, while the price is affected by 2 period lag of OVX for both the 5^(th) and 6^(th) sub-periods. This finding implies that, the fear gauges provide the investors with the more market efficiency during the sub-periods than during the whole sampling period. Therefore, this paper suggests that, not only do the investors in the petroleum market take care of the impacts of crucial global political and economic events on the crude oil price, but they also consider the short-run dynamic relationships between the price and its volatility.

1. Lee, N. R. L.,Chu, H. H.,Liu, J. F.,Lin, Y. B.(2014).Threshold Cointegration and Dynamics of Crude Oil Futures Volatility and Financial Speculation.Taiwan Journal of Applied Economics,96,1-34.
   連結：
2. Aboura, S.,Chevallier, B.(2013).Leverage vs. Feedback: Which Effect Drives the Oil Market?.Finance Research Letters,10,131-141.
3. Andrada-Félix J.,Fernandez-Perez, A.,Sosvilla-Rivero, S.(2018).Fear Connectedness among Asset Classes.Applied Economics,50,4234-4239.
4. Andrews, D. W. K.(1993).Tests for Parameter Instability and Structural Change with Unknown Change Point.Econometrica: Journal of the Econometric Society,61,821-856.
5. Atkins, F. J.,Coe, P. J.(2002).An ARDL Bounds Test of the Long-run Fisher Effect in the United States and Canada.Journal of Macroeconomics,24,255-266.
6. Bai, J.,Perron, P.(2003).Critical Values for Multiple Structural Change Tests.The Econometrics Journal,6,72-78.
7. Bai, J.,Perron, P.(2003).Computation and Analysis of Multiple Structural Change Models.Journal of Applied Econometrics,18,1-22.
8. Bai, J.,Perron, P.(1998).Estimating and Testing Linear Models with Multiple Structural Changes.Econometrica,66,47-78.
9. Bakanova, A., 2010, “The Information Content of Implied Volatility in the Crude Oil Market”, Working Paper, University of Lugano and Swiss Finance Institute.
10. Basher, S. A.,Sadorsky, P.(2016).Hedging Emerging Market Stock Prices with Oil, Gold, VIX, and Bonds: A Comparison between DCC, ADCC and GO-GARCH.Energy Economics,54,235-247.
11. Chen, Y.,He, K.,Yu, L.(2015).The Information Content of OVX for Crude Oil Returns Analysis and Risk Measurement: Evidence from the Kalman Filter Model.Annals of Data Science,2,471-487.
12. Chen, Y.,Zou, Y.(2015).Examination on the Relationship between OVX and Crude Oil Price with Kalman Filter.Procedia Computer Science,55,1359-1365.
13. Chow, G. C.(1960).Tests of Equality between Sets of Coefficients in Two Linear Regressions.Econometrica: Journal of the Econometric Society,28,591-605.
14. Davig, T.(2004).Regime-switching Debt and Taxation.Journal of Monetary Economics,51,837-859.
15. Dutta, A.(2018).Oil and Energy Sector Stock Markets: An Analysis of Implied Volatility Indexes.Journal of Multinational Financial Management,44,61-68.
16. Dutta, A.,Nikkinen, J.,Rothovius, T.(2017).Impact of Oil Price Uncertainty on Middle East and African Stock Markets.Energy,123,189-197.
17. Ewing, B. T.,Malik, F.(2016).Volatility Spillovers between Oil Prices and the Stock Market under Structural Breaks.Global Finance Journal,29,12-23.
18. Fan, Y.,Xu, J. H.(2011).What has Driven Oil Prices since 2000? A Structural Change Perspective.Energy Economics,33,1082-1094.
19. Gregory, A. W.,Hansen, B. E.(1996).Residual-based Tests for Cointegration in Models with Regime Shifts.Journal of Econometrics,70,99-126.
20. Haugom, E.,Langeland, H,Molnár, P.,Westgaard, S.(2014).Forecasting Volatility of the US Oil Market.Journal of Banking & Finance,47,1-14.
21. Hu, J. W. S.,Chang, H. Y.(2015).Elucidating the Relationship among Volatility Index, US Dollar Index and Oil Price.Proceedings of the 7th Annual American Business Research Conference,New York, USA:
22. Ji, Q.,Fan, Y.(2016).Modelling the Joint Dynamics of Oil Prices and Investor Fear Gauge.Research in International Business and Finance,37,242-251.
23. Jin, H. J.,Miljkovic, D.(2010).An Analysis of Multiple Structural Breaks in US Relative Farm Prices.Applied Economics,42,3253-3265.
24. Kang, S. H.,Kang, S. M.,Yoon, S. M.(2009).Forecasting Volatility of Crude Oil Markets.Energy Economics,31,119-125.
25. Lee, J.,Strazicich, M. C.(2003).Minimum Lagrange Multiplier unit Root Test with Two Structural Breaks.The Review of Economics and Statistics,85,1082-1089.
26. Liu, J.,Wu, S.,Zidek, J. V.(1997).On Segmented Multivariate Regression.Statistica Sinica,7,497-525.
27. Liu, M. L.,Ji, Q.,Fan, Y.(2013).How Does Oil Market Uncertainty Interact with Other Markets? An Empirical Analysis of Implied Volatility Index.Energy,55,860-868.
28. Lumsdaine, R. L.,Papell, D. H.(1997).Multiple Trend Breaks and the Unit-root Hypothesis.The Review of Economics and Statistics,79,212-218.
29. Maghyereh, A. I.,Awartani, B.,Bouri, E.(2016).The Directional Volatility Connectedness between Crude Oil and Equity Markets: New Evidence from Implied Volatility Indexes.Energy Economics,57,78-93.
30. Malik, F.,Ewing, B. T.(2009).Volatility Transmission between Oil Prices and Equity Sector Returns.International Review of Financial Analysis,18,95-100.
31. Miller, J. I.,Ratti, R. A.(2009).Crude Oil and Stock Markets: Stability, Instability, and Bubbles.Energy Economics,31,559-568.
32. Olofin, S. and A. A. Salisu, 2017, “Modelling Oil Price-inflation Nexus: The Role of Asymmetries and Structural Breaks”, Working Papers, No. 020, Centre for Econometric and Allied Research, University of Ibadan, Nigeria.
33. Perron, P.(1989).The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis.Econometrica: Journal of the Econometric Society,57,1361-1401.
34. Perron, P.(1997).Further Evidence on Breaking Trend Functions in Macroeconomic Variables.Journal of Econometrics,80,355-385.
35. Pesaran, M. H.,Pesaran, B.(1997).Working with Microfit 4.0: Interactive Econometric Analysis.Oxford:Interactive Econometric Analysis Oxford University Press.
36. Pesaran, M. H.,Shin, Y.,Smith, R. J.(2001).Bounds Testing Approaches to the Analysis of Level Relationships.Journal of Applied Econometrics,16,289-326.
37. Phillips, P. C. B.,Perron, P.(1988).Testing for a unit Root in Time Series Regression.Biometrika,75,335-346.
38. Quandt, R. E.(1958).The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes.Journal of the American Statistical Association,53,873-880.
39. Said, S. E.,Dickey, D. A.(1984).Testing for Unit Roots in Autoregressive-moving Average Models of Unknown Order.Biometrika,71,599-607.
40. Sari, R.,Hammoudeh, S.,Soytas, U.(2010).Dynamics of Oil Price, Precious Metal Prices, and Exchange Rate.Energy Economics,32,351-362.
41. Sims, C. A.,Zha, T.(2006).Were There Switches in U.S. Monetary Policy?.American Economic Review,96,54-81.
42. Wahab, F. F.,Masih, M.(2017).MPRA PaperMPRA Paper,Germany:Munich University Library.
43. Yao, Y. C.(1988).Estimating the Number of Change-points via Schwarz' Criterion.Statistics and Probability Letters,6,181-189.
44. Zeileis, A.,Kleiber, C.,Krämer, W.,Hornik, K.(2003).Testing and Dating of Structural Changes in Practice.Computational Statistics & Data Analysis,44,109-123.
45. Zhou, Y.(2014).Modeling the Joint Dynamics of Risk-neutral Stock Index and Bond Yield Volatilities.Journal of Banking & Finance,38,216-228.
46. Zivot, E.,Andrews, D. W. K.(2002).Further Evidence on the Great Crash, the Oil-price shock, and the Unit-root Hypothesis.Journal of Business and Economic Statistics,20,25-44.
47. 中華民國經濟部能源局，1968，「國際原油價格之變遷」，經濟部能源局，取自https://www.moeaboe.gov.tw/ECW/populace/content/SubMenu.aspx?menu_id=1973，檢索日期：2017/07/24。(Bureau of Energy, Ministry of Economic Affairs, 1968, “Changes in International Crude Oil Prices”, Bureau of Energy, Ministry of Economic Affairs, Retrieved July, 24, 2017, from https://www.moeaboe.gov.tw/ECW/populace/content/SubMenu.aspx?menu_id=1973.)

1. (2019)。多元結構變動下美元、金價與油價動態關係之研究。朝陽商管評論，17(2)，39-60。