博碩士論文 105428014 詳細資訊




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姓名 朱敏璇(Min-Hsuan Chu)  查詢紙本館藏   畢業系所 財務金融學系
論文名稱
(Price Discovery in Chinese Stock and Bond Markets around Macroeconomic Announcements)
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摘要(中) 本文所研究的兩個主題為:一,總體經濟訊息發布對中國股票市場和債券市場的影響,並將研究標的再區分成現貨市場和期貨市場;二,總體經濟訊息發布的情況下,股票市場與債券市場的外溢效果。本文選擇五種不同的商品,分別是滬深300指數 (CSI 300 index) 、上証國債指數 (SSE Government Bond index)、滬深300指數期貨 (CSI 300 index futures)、五年期國債期貨 (SSE Treasury Bond futures)、十年期國債期貨 (ten-year Treasury Bond futures),樣本研究區間從2015/04 至 2018/03。根據Andersen et al. (2007),採用兩階段加權最小平方法 (WLS) 分析訊息發布後市場的反應;另外,採用結構型向量自回歸模型 (SVAR) 分析股票與債券市場之間的外溢效果。研究結果顯示:一,M2貨幣供給 (M2 money supply)、新增人民幣貸款 (new yuan loan)、流通在外貸款增加率 (outstanding loan growth)三者對中國股債市場有顯著影響;二,股票市場中,現貨相對於期貨對於總體經濟訊息的反應較快;債券市場與之相反,期貨相對於現貨反應較快;三,關於股票與債券的同期關係,股票市場對債券市場有正向影響;反之,除了五年期國債以外,債券市場對股票市場有負向影響。
摘要(英) How do returns and volatility respond to macroeconomic announcements in Chinese stock and bond futures and spot markets? This thesis also examines the spillover effects between stock and bond markets around macroeconomics news. This thesis chooses CSI 300 index, SSE government bond index, CSI 300 index futures, five-year Treasury Bond Futures, and ten-year Treasury Bond Futures as the empirical sample and I use the high-frequency five-minute return from April 1st, 2015 to March 30th, 2018. Follow Andersen et al. (2007), the study adopts two-stage weighted least squares (WLS) regression for news effects and structural vector autoregression (SVAR) model for spillover effects. The following are three main empirical results of this thesis. First, M2 money supply, new yuan loan, and outstanding loan growth have a significant impact on assets returns and volatility. Second, in the stock market, the spot is a better research object than futures but futures is a better research object than the spot in the bond market. Third, about the contemporaneous linkages between stock and bond, there are opposite effects: stock affects bond positively but bond affects stock negatively, except for five-year Treasury bond futures.
關鍵字(中) ★ 總體宣告
★ 股票市場
★ 債券市場
★ 高頻資料
★ 外溢效果
關鍵字(英) ★ Macroeconomic news
★ Stock market
★ Bond market
★ High-frequency
★ Spillover
論文目次 摘要 i
Abstract ii
Acknowledgments iii
Table of Contents iv
List of Tables v
List of Figures vi
Chapter 1 Introduction 1
Chapter 2 Literature Review 5
2.1 Price Discovery between Spot and Futures Markets 5
2.2 News Effects in the Stock Market 6
2.3 News Effects in the Bond Market 7
2.4 Information Transmission between Stock and Bond Markets 8
Chapter 3 Data and Preliminary Results 11
3.1 Spot Markets 11
3.2 Futures Markets 12
3.3 Macroeconomic News 13
3.4 High-frequency Returns around Macroeconomic Announcements 14
3.5 Statistical Summary 15
Chapter 4 Methodology 17
4.1 Assets Returns 17
4.2 Macro News Surprises 17
4.3 Dynamic News Effects 18
4.4 Return Spillover 20
Chapter 5 Empirical Results 22
5.1 New Effects 22
5.1.1 News Effects on Spot Markets 22
5.1.2 News Effects on the Futures Markets 24
5.1.3 Comparison of Spot and Futures Markets 27
5.2 Spillover between Stock and Bond Returns 28
Chapter 6 Conclusions 30
References 32
Appendix 56
參考文獻 Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2003b). Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange. American Economic Review, 93(1), 38-62.

Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2007). Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets. Journal of International Economics, 73(2), 251-277.

Andersson, M., Krylova, E., & Vähämaa, S. (2008). Why Does the Correlation between Stock and Bond Returns Vary over Time? Applied Financial Economics, 18(2), 139-151.

Baele, L., Bekaert, G., & Inghelbrecht, K. (2010). The Determinants of Stock and Bond Return Comovements. Review of Financial Studies, 23(6), 2374-2428.

Balduzzi, P., Elton, E. J., & Green, T. C. (2001). Economic News and Bond Prices: Evidence from the US Treasury Market. Journal of Financial and Quantitative Analysis, 36(4), 523-543.

Baum, C. F., Kurov, A., & Wolfe, M. H. (2015). What Do Chinese Macro Announcements Tell Us about the World Economy? Journal of International Money and Finance, 59, 100-122.

Bauwens, L., Omrane, W. B., & Giot, P. (2005). News Announcements, Market Activity and Volatility in the Euro/Dollar Foreign Exchange Market. Journal of International Money and Finance, 24(7), 1108-1125.

Boyd, J. H., Hu, J., & Jagannathan, R. (2005). The Stock Market′s Reaction to Unemployment News: Why Bad News is Usually Good for Stocks. Journal of Finance, 60(2), 649-672.

Brenner, M., Pasquariello, P., & Subrahmanyam, M. (2009). On the Volatility and Comovement of US Financial Markets around Macroeconomic News Announcements. Journal of Financial and Quantitative Analysis, 44(6), 1265-1289.

Chiang, R., & Fong, W. M. (2001). Relative Informational Efficiency of Cash, Futures, and Options Markets: The Case of an Emerging Market. Journal of Banking & Finance, 25(2), 355-375.

Chiang, T. C., Li, J., & Yang, S. Y. (2015). Dynamic Stock-Bond Return Correlations and Financial Market Uncertainty. Review of Quantitative Finance and Accounting, 45(1), 59-88.

Cui, J., & Zhao, H. (2015). Intraday Jumps in China′s Treasury Bond Market and Macro News Announcements. International Review of Economics & Finance, 39, 211-223.

d’Addona, S., & Kind, A. H. (2006). International Stock-Bond Correlations in a Simple Affine Asset Pricing Model. Journal of Banking & Finance, 30(10), 2747-2765.

De Goeij, P., & Marquering, W. (2006). Macroeconomic Announcements and Asymmetric Volatility in Bond Returns. Journal of Banking & Finance, 30(10), 2659-2680.

Dean, W. G., Faff, R. W., & Loudon, G. F. (2010). Asymmetry in Return and Volatility Spillover between Equity and Bond Markets in Australia. Pacific-Basin Finance Journal, 18(3), 272-289.

El Ouadghiri, I., Mignon, V., & Boitout, N. (2016). On the Impact of Macroeconomic News Surprises on Treasury-Bond Returns. Annals of Finance, 12(1), 29-53.

Füss, R., Mager, F., Stein, M., & Zhao, L. (2017). Financial Crises, Price Discovery, and Information Transmission: A High-Frequency Perspective. Working Paper.

Hansen, P. R., & Lunde, A. (2006). Realized Variance and Market Microstructure Noise. Journal of Business & Economic Statistics, 24(2), 127-161.

Hou, Y., & Li, S. (2013). Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data. Asia-Pacific Financial Markets, 20(1), 49-70.

Huang, X. (2018). Macroeconomic News Announcements, Systemic Risk, Financial Market Volatility, and Jumps. Journal of Futures Markets, 38(5), 513-534.

Kim, S. J., McKenzie, M. D., & Faff, R. W. (2004). Macroeconomic News Announcements and the Role of Expectations: Evidence for US Bond, Stock and Foreign Exchange Markets. Journal of Multinational Financial Management, 14(3), 217-232.

Liu, L. Y., Patton, A. J., & Sheppard, K. (2015). Does Anything Beat 5-minute RV? A Comparison of Realized Measures Across Multiple Asset Classes. Journal of Econometrics, 187(1), 293-311.

Liu, M. H., & Shrestha, K. M. (2008). Analysis of the Long-Term Relationship between Macro-Economic Variables and the Chinese Stock Market Using Heteroscedastic Cointegration. Managerial Finance, 34(11), 744-755.

Mensi, W., Hammoudeh, S., & Yoon, S. M. (2014). Structural Breaks and Long Memory in Modeling and Forecasting Volatility of Foreign Exchange Markets of Oil Exporters: The Importance of Scheduled and Unscheduled News Announcements. International Review of Economics & Finance, 30, 101-119.

Miao, H., Ramchander, S., Wang, T., & Yang, D. (2017). Role of Index Futures on China′s Stock Markets: Evidence from Price Discovery and Volatility Spillover. Pacific-Basin Finance Journal, 44, 13-26.

Paiardini, P. (2014). The Impact of Economic News on Bond Prices: Evidence from the MTS Platform. Journal of Banking & Finance, 49, 302-322.

Rangel, J. G. (2011). Macroeconomic News, Announcements, and Stock Market Jump Intensity Dynamics. Journal of Banking & Finance, 35(5), 1263-1276.

Rigobon, R., & Sack, B. (2003). Spillovers across US Financial Markets (No. w9640). National Bureau of Economic Research.

Thorbecke, W. (1997). On Stock Market Returns and Monetary Policy. Journal of Finance, 52(2), 635-654.

Wang, D., Tu, J., Chang, X., & Li, S. (2017). The Lead-Lag Relationship between the Spot and Futures Markets in China. Quantitative Finance, 17(9), 1447-1456.

Yang, J., Zhou, Y., & Wang, Z. (2009). The Stock-Bond Correlation and Macroeconomic Conditions: One and a Half Centuries of Evidence. Journal of Banking & Finance, 33(4), 670-680.

Zhong, M., Darrat, A. F., & Otero, R. (2004). Price Discovery and Volatility Spillovers in Index Futures Markets: Some Evidence from Mexico. Journal of Banking & Finance, 28(12), 3037-3054.
指導教授 高櫻芬(Yin-Feng Gau) 審核日期 2018-7-17
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