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系統識別號 U0002-3005200818464500
中文論文名稱 開放外資交易對股市、匯率與基差之影響
英文論文名稱 Impact of Deregulation of QFII on Stock Prices, Exchange Rates and Basis
校院名稱 淡江大學
系所名稱(中) 財務金融學系博士班
系所名稱(英) Department of Banking and Finance
學年度 96
學期 2
出版年 97
研究生中文姓名 李彥賢
研究生英文姓名 Yen-Hsien Lee
學號 893490143
學位類別 博士
語文別 英文
口試日期 2008-05-11
論文頁數 59頁
口試委員 指導教授-邱建良
指導教授-李命志
委員-梁發進
委員-許振明
委員-楊朝成
委員-謝文良
委員-黃彥聖
委員-聶建中
委員-邱建良
中文關鍵字 外資  股市  匯率  基差  跳躍擴散模型  平滑移轉模型 
英文關鍵字 The Qualified Foreign Institutional Investors  Stock  Exchange Rate  Basis  Jump-Diffusion Model  Smooth Transition AutoRegression Model 
學科別分類 學科別社會科學商學
中文摘要 本論文著重在外資對台灣的股市、匯率與基差的影響,共包含三個部份,分別為「外資行為是否造成股市的異常資訊的來源」、「外資開放對台灣股匯市的影響」與「外資的買賣超對基差的非線平滑移轉影響」。
將此三部份的內容如下。第一部分研究在外資開放後,外資是否對台灣股市產生異常資訊。本研究利用ARJI (Autoregressive Jump Intensity)模型捕捉異常資訊,再解釋外資買賣超與異常資訊的相關性與因果關係。實證結果發現,解除外資投資限制有助於對國內穩定投資環境。第二部份本文利用雙變量跳躍模型來研究外資開放後,對於股匯市的正常資訊與異常資訊的傳遞影響。實證結果發現在外資開放後,股市與匯市存在顯著的正常與異常的共變數。在外資開放後正常資訊傳遞改變相互影響,而異常資訊的傳遞則為股市會影響匯市。因此,研究結果發現外資的開放會影響資訊傳遞效果。第三部份本文研究外資行為是否造成非線性的基差行為。實證結果發現邏輯式平滑移轉模型優於指數平滑移轉模型,本研究利用邏輯式平滑移轉的GARCH模型發現外資行為對基差存在著不對稱的影響,並發現有許多樣本落在平滑轉換函數,表示不存著不同的投資觀點,即支持異質性的投資者與套利者以及非同步交易行為。
英文摘要 This dissertation focuses on how Qualified Foreign Institutional Investors (QFII) impacts the Taiwanese stock market, foreign exchange market and basis to comprise three parts. The first part is titled “Do Foreign Trading Patterns Cause Abnormal Information in Taiwanese Stock Market?”, the second part is titled “The Impact of QFII Deregulation on Transmission of Normal and Abnormal Information between the Stock Market and Foreign Exchange Market in Taiwan”, and the last pert is titled “The Impact of QFII Trading Behavior on the Smooth Transition of Nonlinear Basis in the TAIEX Index and Taiwan Index Futures”.
These three parts are briefly introduced below: The first part of the dissertation examines whether foreign investors cause abnormal information in the Taiwanese stock market before and after the relaxation of restrictions on QFII investors on October 2, 2003 (pre- and post- QFII deregulation). We further investigate the relationship between abnormal information and QFII behavior via correlation and Granger causality analyses. This dissertation concludes that the removal of restrictions on QFII has been extremely helpful in enhancing the domestic investment environment and stabilizing the Taiwanese stock market.
The second part of the dissertation adopts the Correlated Bivariate Poisson GARCH with jump and diffusion volatility spillover model to determine whether QFII deregulation in the Taiwanese stock markets influenced normal and abnormal information transmission between stock and exchange rate markets. Empirical results demonstrated that the diffusion and jump processes are significantly correlated and moreover displayed interactions with stock and exchange rate markets following QFII deregulation. Finally, normal information transmission changed bi-directionally across markets, and abnormal information supports the asset approach to exchange rate determination. Furthermore, empirical results suggest that information transmissions are influenced by the removal of investment restrictions.
The final part of the dissertation investigates whether QFII trading behavior caused a smooth transition of nonlinear basis in the TAIEX index and Taiwan index futures. Empirical results demonstrate that the logistic smooth transition model outperforms the exponential smooth transition model. This dissertation also employs the LSTAR-GARCH model to investigate the influence of QFII behavior on basis and finds that a large proportion of sample points decline in the smooth transition regime, implying different perspectives towards trading and differing investment objectives among QFII. These phenomena provide evidence of heterogeneous investors, arbitrageurs, and non-synchronous trading in the Taiwanese equity market.
論文目次 TABLE OF CONTENTS
Page
ACKNOWLEDGEMENT i
ABSTRACT IN CHINESE ii
ABSTRACT IN ENGLISH iii
LIST OF TABLES vii
LIST OF FIGURES viii
1. Introduction 1
1.1 Motivations 1
1.2 Objectives 5
1.3 Flow Chart 7
2. Literature Review 8
2.1 Literature on Stock Market Liberalization 8
2.2 Literature on Transmissions between Stock and Foreign Exchange 12
2.3 Literature on Basis Behavior 15
3. Econometric Methodology 19
3.1 The Autoregressive Jump Intensity Model 19
3.2 The Correlated Bivariate Poisson GARCH Model 23
3.3 The Smooth Transition Autoregressive GARCH Model 27
4. Empirical Results and Analysis 31
4.1 Do Foreign Trading Patterns Cause Abnormal Information in Taiwan Stock
Market? 31
4.2 The Impact of the QFII Deregulation on Normal and Abnormal Information
Transmission between the Stock and Exchange Rate in Taiwan 37
4.3 The Impact of QFII Trading Behavior on Smooth Transition of Nonlinear
Basis in TAIEX Index and Taiwan Index Futures 43
5. Conclusions 50
Bibliography 52
Appendix: A Brief History of Liberalization 57



LIST OF TABLES
Page
Table 4.1.1 Descriptive Statistics 32
Table 4.1.2 ARJI(1,1) Model 33
Table 4.1.3 Nonparametric Correlation Analysis 34
Table 4.1.4 Granger Causality Test 35
Table 4.2.1 Descriptive Statistics of Daily Return 37
Table 4.2.2 CBP-GARCH Model Estimation Results 39
Table 4.3.1 Descriptive Statistics of Basis and QFII 43
Table 4.3.2 Linear and Nonlinear Tests 45
Table 4.3.3 LSTAR vs. ESTAR Model Tests 45
Table 4.3.4 FBS of LSTAR-GARCH Model Results 46



LIST OF FIGURES
Page
Figure 1. Flow Chart .7
Figure 2. Returns of TAIEX and FX during the Pre- and Post-QFII Periods 38
Figure 3. Logistic Smooth Transition Process of Basis Adjustment Caused by QFII
Trading Behavior 48
參考文獻 1. Aggarwal, R. and Chen, S. (1990), “The adjustment of stock returns to block trading information,” Quarterly Journal of Business and Economics, 29, 46-56.
2. Ajayi, R.A. and Mougoue, M. (1996), “On the dynamic relation between stock prices and exchange rates,” Journal of Financial Research, 19, 193-207.
3. Bailey, W. and Chan, K.C. (1993), “Macroeconomic influences and the variability of the commodity futures basis,” Journal of Finance, 48, 555–573.
4. Bates, D.S. (1996), “Jumps and stochastic volatility: Evidence from the options markets,” Review of Financial Studies, 9, 69-107
5. Bekaert, G. and Harvey, C.R. (1997), “Emerging equity market volatility,” Journal of Financial Economics, 43, 29-77.
6. Bekaert, G., Harvey, C.R. and Lumsdaine, R.L. (2002), “The dynamics of emerging market equity flows,” Journal of International Money and Finance, 21,295-350
7. Bodnar, G. and Gentry, W.M. (1993), “Exchange rate exposure and industry characteristics: Evidence from Canada, Japan and the USA,” Journal of International Money and Finance, 12, 29-45.
8. Bohn, H. and Tesar, L.L. (1996), “U.S. equity investment in foreign markets: Portfolio rebalancing or return chasing?” American Economic Review, 86, 77-81.
9. Booth, L. and Rotenberg, W. (1990), “Assessing foreign exchange exposure: Theory and application using Canadian firms,” Journal of International Financial Management and Accounting, 2, 1-22.
10. Brooks, C. and Garrett, I. (2002), “Can we explain the dynamics of the UK FTSE 100 stock and stock index futures markets,” Applied Financial Economics, 12, 25-31.
11. Caporale, M. G., Ptittas, N. and Spagnolo, N. (2002), “Testing for causality in variance: An application to the East Asian markets,” International Journal of Finance and Economics, 7, 235-245.
12. Chan, K. (1992), “A further analysis of the lead-lag relationship between the cash market and stock index futures market,” Review of Financial Studies, 5, 123-152.
13. Chan, W.H. (2003), “A correlated bivariate Poisson jump model for foreign exchange,” Empirical Economics, 28, 669-685.
14. Chan, W.H. and Maheu, J.M. (2002), “Conditional jump dynamics in stock market returns,” Journal of Business and Economic Statistics, 20, 377-89.
15. Chang, K.H. and Kim, M.J. (2001), “Jump and time-varying correlations in daily foreign exchange rates,” Journal of International Money and Finance, 20, 611-637.
16. Choe, H., Kho, B.C. and Stulz, R.M. (1999), “Do foreign investors destabilize stock markets? The Korean experience in 1997,” Journal of Financial Economics, 54, 227–264.
17. Dias, M.A.G. and Rocha, K.M.C. (2001), “Petroleum concessions with extendible options using mean reversion with jumps to model oil prices,” 3rd Annual International Conference on Real Options, Wassenaar/Leiden.
18. Dwyer, G.P., Locke, P. and Yu, W. (1996), “Index arbitrage and nonlinear dynamics between the S&P 500 futures and cash,” Review of Financial Studies, 9, 301-332.
19. Fang, W.S. and Miller, S.M. (2002), “Currency depreciation and Korean stock market performance during the Asian financial crisis,” Working papers, University of Connecticut, Department of Economics.
20. Fraser, P. and McKaig, A.J. (2000), “UK metal and energy basis variation and a common source of risk: A note,” International Journal of Finance and Economics, 5, 155-164.
21. Garrett, I. and Taylor, N. (2001), “Intraday and interday basis dynamics: Evidence from the FTSE 100 index futures market,” Studies in Nonlinear Dynamics and Econometrics, 5, 133–152.
22. Granger, C.W.J. and Teräsvirta, T. (1993), “Modelling nonlinear economic relationships,” Oxford: Oxford University Press.
23. Grinblatt, M. and Keloharju, M. (2000), “The investment behavior and performance of various investors: A study of Finland’s unique data set,” Journal of Financial Economics, 55, 43-67.
24. Hamao, Y. and Mei, J. (2001), “Living with the “Enemy”: An analysis of foreign investment in Japanese equity market,” Journal of International Money and Finance, 20, 715-735.
25. Holmes, P. and Wong, M.W. (2001), “Foreign investment, regulation and price volatility in South-East Asian stock markets,” Emerging Markets Review, 2, 371-386.
26. Jayasuriya, S. (2005), “Stock market liberalization and volatility in the presence of favorable market characteristics and institutions,” Emerging markets Review, 6, 170-190.
27. Jorion, P. (1988), “On jump processes in the foreign exchange and stock markets,” Review of Financial Studies, 1, 427-445.
28. Kanas, A. (2000), “Volatility spillovers between stock returns and exchange rate changes: International evidence,” Journal of Business Finance & Accounting, 27, 447-467.
29. Kawaller, I.G., Koch, P.D. and Koch, T.W. (1987), “The temporal price relationship between S&P 500 futures and the S&P 500 Index,” Journal of Finance, 42, 1309-1329.
30. Khoury, N.T. and Yourougou, P. (1991), “The informational content of the basis: Evidence from Canadian barley, oats, and canola futures markets,” Journal of Futures Markets, 11, 69-80.
31. Kim, H.Y. and Mei, J.P. (2001), “What makes the stock market jump? An analysis of political risk on Hong Kong stock returns,” Journal of International Money and Finance, 20, 1003-1016.
32. Kräger, H. and Kugler, P. (1993), “Nonlinearities in foreign exchange markets: A different perspective,” Journal of International Money and Finance, 12, 195-208.
33. Kraus, A. and Stoll, H.R. (1972), “Parallel trading by institutional investors,” Journal of Financial and Quantitative Analysis, 7, 569-588.
34. Kuo, W.H., Lin, C.C. and Hsu, L.H. (2007), “The impact of foreign trading information on emerging futures markets: A study of Taiwan’s unique data set,” Economics Bulletin, 7, 1-14.
35. Kwan, F.B. and Reyes, M.G. (1999), “Price effects of stock market liberalization in Taiwan,” Quarterly Review of Economics and Finance, 37, 511-522.
36. Lakonishock, J., Shleifer, A. and Vishny, R. (1992), “The impact of institutional trading on stock prices,” Journal of Financial Economics, 32, 23-44.
37. Luukkonen, R., Saikkonen, P. and Teräsvirta, T. (1988), “Testing linearity against smooth transition autoregressive models,” Biometrika, 75, 491-499.
38. Maheu, J.M. and McCurdy, T.H. (2004), “News arrival, jump dynamics and volatility components for individual stock returns,” Journal of Finance, 59, 755-793.
39. McMillan, D.G. (2007), “Non-linear forecasting of stock returns: Does volume help?” International Journal of Forecasting, 23, 115-126.
40. McMillan, D.G. and Speight, A.E.H. (2002), “Nonlinear dynamics in the high-frequency intraday financial data: Evidence for the UK long gilt futures market,” Journal of Futures Markets, 22, 1037-1056.
41. McMillan, D.G. and Speight, A.E.H. (2006), “Nonlinear dynamics and competing behavior interpretations: Evidence from intra-day FTSE100 index and futures data,” Journal of Futures Markets, 26, 343-368.
42. Michael, P., Nobay, A.R., and Peel, D.A. (1997), “Transactions costs and nonlinear adjustment in real exchange rates: An empirical investigation,” Journal of Political Economy, 105, 862-879.
43. Mishra, A.K., Swain, N. and Malhotra, D.K. (2007), “Volatility spillover between stock and foreign exchange markets: Indian evidence,” International Journal of Business, 12, 333-359.
44. Monoyios, M. and Sarno, L. (2002), “Mean reversion in stock index futures markets: a nonlinear analysis,” Journal of Futures Markets, 285-314.
45. Parcell, J.L. (2000), “The impact of the LDP on corn and soybean basis in Missouri,” Presented paper at NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
46. Qayyum, A. and Kemal, A.R. (2006), “Volatility spillover between the stock market and the foreign market in Pakistan,” Working Papers, Pakistan Institute of Development Economics.
47. Radelet, S. and Sachs, J. (1998), “The onset of the East Asian financial crisis,” Working Papers, National Bureau of Economic Research.
48. Scholes, M.S. (1972), “The market for securities: substitution price-pressure and the effects of information and share price,” Journal of Business, 45, 179-211.
49. Shleifer, A. and Summers, L.H. (1990), “The noise trader approach to finance,” Journal of Economic Prespectives, 4, 19-33.
50. Smith, C.E. (1992), “Stock markets and the exchange rate: A multi-country approach,” Journal of Macroeconomics, 14, 607-29.
51. Stiglitz, J. (1998), “Boats, planes and capital flows,” Financial Times, March 25.
52. Stoll, H.R. and Whaley, R.E. (1990), “The dynamics of stock index and stock index futures returns,” Journal of Financial and Quantitative Analysis, 25, 441-468.
53. Teräsvirta, T. (1994), “Specification, estimation and evaluation of smooth transition autoregressive models,” Journal of the American Statistical Association, 89, 208-218.
54. Tesar, L.L. and Werner, I.M. (1994), “U.S. equity investment in emerging stocks markets,” World Bank Economic Review, 9, 109-130.
55. Tesar, L.L. and Werner, I.M. (1995), “Home bias and high turnover,” Journal of International Money and Finance, 14, 467-492.
56. Tilley, S. and Campbell, S.K. (1988), “Performance of the weekly Gulf-Kansas city hard-red winter wheat basis,” American Journal of Agricultural Economics, 70, 929-935.
57. Tse, Y. (2001), “Index arbitrage with heterogeneous investors: A smooth transition error correction analysis,” Journal of Banking and Finance, 25, 1829-1855.
58. Wang, L.R. and Shen, C.H. (1999) “Do foreign investments affect foreign exchange and stock markets – the case of Taiwan,” Applied Economics, 31, 1303-1314.
59. Warren, B. (1988), “Money supply announcements and the ex ante volatility of asset prices,” Journal of Money, Credit and Banking, 20, 611-621.
60. Yang, J.W. (2002), “The information spillover between stock returns and institutional investors’ trading behavior in Taiwan,” International Review of Financial Analysis, 11, 533-547.
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