經濟預測對台灣產業加權指數報酬率影響之事件研究

The Effects of Economic Forecasting on Industrial Index Returns in Taiwan: An Event Study Approach

胡均立(Jin-Li Hu)；張子溥(Tzu-Pu Chang)；周雨田(Ray Yeu-Tien Chou)；張嘉文(Chia-Wen Chang)

經濟預測 ； 事件研究法 ； 異常報酬 ； 事件引發的波動 ； Economic Forecasting ； Event-study Approach ； Abnormal Return ； Event-induced Volatility

應用經濟論叢

94期（2013 / 12 / 01）

1 - 37

繁體中文

本研究以GARCH為基礎之事件研究法探討台灣四家預測單位發佈經濟預測後對各產業指數報酬率的影響，分別探討因事件所產生的異常報酬與其引發的異常波動。研究結果發現：第一、異常報酬率中，中華經濟研究院相較於其他三家機構的影響是比較明顯，但是差距並不大；事件引發的波動上，四家預測單位差異不大。但是整體而言，由事件引發的波動比異常報酬更容易被發現。第二、區分上修與下調經濟預測後，產業指數的異常報酬率與預測修正方向並無明顯關聯；然而不論修正方向為何，有高達82%比例出現波動降低的現象。第三，區分產業別後，電子產業更容易受到經濟預測發佈產生異常報酬，但波動率差異不顯著。第四、金融海嘯後，投資者對於經濟預測訊息的宣告更為敏感。

This study uses the event study approach to analyze the effect of economic forecasting on industrial index returns in Taiwan. Based on the GARCH model, we include two dummy variables. One is in the mean equation to capture the abnormal return and the other is in the variance equation to capture the event-induced volatility. The empirical results show: First, the effect of economic forecasting announcements from different research institutions is indifference from research institutions. Only the Chung Hua Institution for Economic Research induces more abnormal returns. Second, optimistic economic forecasting induces 45% positive abnormal return and pessimistic economic forecasting induces 52% negative abnormal return. However, 82% event-induced volatility decline whether optimistic or pessimistic economic forecasting announced. Third, the return of electronic industrial index is more likely influenced by economic forecasting events than other industrial indices. Fourth, after 2008 financial crisis, the effect of economic forecasting on industrial index returns has a structural change in which investors become more sensitive to economic forecasting.

1. Akgiray, V.(1989).Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts.Journal of Business,62,55-80.
2. Austin, D. H.(1993).An Event-study Approach to Measuring Innovative Output: The Case of Biotechnology.American Economic Review,83,253-258.
3. Balaban, E.,Constantinou, C. T.(2006).Volatility Clustering and Event-induced Volatility: Evidence from UK Mergers and Acquisitions.European Journal of Finance,12,449-453.
4. Ball, R.,Brown, P.(1968).An Empirical Evaluation of Accounting Income Numbers.Journal of Accounting Research,6,159-178.
5. Beaver, W. H.(1968).The Information Content of Annual Earnings Announcements.Journal of Accounting Research,6,67-92.
6. Boehmer, E.,Musumeci, J.,Poulsen, A. B.(1991).Event-study Methodology under Conditions of Event-induced Variance.Journal of Financial Economics,30,253-272.
7. Bollerslev, T.(1986).Generalized Autoregressive Conditional Heteroskedasticity.Journal of Econometrics,31,307-327.
8. Bomfim, A. N.(2003).Pre-announcement Effects, News Effects, and Volatility: Monetary Policy and the Stock Market.Journal of Banking and Finance,27,133-151.
9. Brenner, M.(1979).The Sensitivity of the Efficient Market Hypothesis to Alternative Specifications of the Market Model.Journal of Finance,34,915-929.
10. Brockett, P. L.,Chen, H. M.,Garven, J. R.(1999).A New Stochastically Flexible Event Methodology with Application to Proposition 103.Insurance: Mathematics and Economics,25,197-217.
11. Brown, S. J.,Warner, J. B.(1980).Measuring Security Price Performance.Journal of Financial Economics,8,205-258.
12. Brown, S. J.,Warner, J. B.(1985).Using Daily Stock Returns: The Case of Event Studies.Journal of Financial Economics,14,3-31.
13. Chen, M. H.,Jang, S. C.,Kim, W. G.(2007).The Impact of the SARS Outbreak on Taiwanese Hotel Stock Performance: An Event-study Approach.International Journal of Hospitality Management,26,200-212.
14. Corhay, A.,Rad, A. T.(1994).Statistical Properties of Daily Returns: Evidence from European Stock Markets.Journal of Business Finance and Accounting,21,271-282.
15. Corrado, C. J.(1989).A Nonparametric Test for Abnormal Security-price Performance in Event Studies.Journal of Financial Economics,23,385-395.
16. Demirer, R.,Kutan, A. M.(2010).The Behavior of Crude Oil Spot and Futures Prices around OPEC and SPR Announcements: An Event Study Perspective.Energy Economics,32,1467-1476.
17. Dickey, D. A.,Fuller, W. A.(1981).Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.Econometrica,49,1057-1072.
18. Engle, R. F.(1982).Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation.Econometrica,50,987-1007.
19. Fama, E. F.,Fisher, L.,Jensen, M. C.,Roll, R.(1969).The Adjustments of Stock Prices to New Information.International Economic Review,10,1-21.
20. Glosten, L. R.,Jagannathan, R.,Runkle, D. E.(1993).On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks.Journal of Finance,48,1779-1801.
21. Granger, C. W. J.,Newbold, P.(1974).Spurious Regressions in Econometrics.Journal of Econometrics,2,111-120.
22. Im, K. S.,Dow, K. E.,Grover, V.(2001).Research Report: A Reexamination of IT Investment and the Market Value of the Firm-An Event Study Methodology.Information Systems Research,12,103-117.
23. Miyajima, H.,Yafeh, Y.(2007).Japan's Banking Crisis: An Event-study Perspective.Journal of Banking and Finance,31,2866-2885.
24. Nelson, D. B.(1991).Conditional Heteroskedasticity in Asset Returns: A New Approach.Econometrica,59,347-370.
25. Savickas, R.(2003).Event-induced Volatility and Tests for Abnormal Performance.Journal of Financial Research,26,165-178.
26. Schwarz, G.(1978).Estimating the Dimension of a Model.Annals of Statistics,6,461-464.
27. Sharpe, W. F.(1964).Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.Journal of Finance,19,425-442.
28. Zakoian, J. M.(1994).Threshold Heteroskedastic Models.Journal of Economic Dynamics and Control,18,931-955.
29. 沈中華、李建然(2000)。事件研究法：財務與會計實證研究必備。台北:華泰文化。
30. 徐志宏(2012)。台灣第 12 次景氣循環谷底之認定。經濟研究，12，1-44。

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