A Principal Component Approach to Measuring Investor Sentiment in Hong Kong
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Terence Tai-Leung Chong, Bingqing Cao, Wing Keung Wong, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(2), pages 237-247, October.
References listed on IDEAS
- Chong, Terence Tai-Leung & Lam, Tau-Hing & Yan, Isabel Kit-Ming, 2012.
"Is the Chinese stock market really inefficient?,"
China Economic Review, Elsevier, vol. 23(1), pages 122-137.
- Yan, Isabel K. & Chong, Terence & Lam, Tau-Hing, 2011. "Is the Chinese Stock Market Really Efficient," MPRA Paper 35219, University Library of Munich, Germany.
- Lunde A. & Timmermann A., 2004.
"Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 253-273, July.
- Asger Lunde & Allan Timmermann, 2000. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," Econometric Society World Congress 2000 Contributed Papers 1216, Econometric Society.
- Timmermann, Allan & Lunde, Asger, 2003. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," CEPR Discussion Papers 4104, C.E.P.R. Discussion Papers.
- Baker, Malcolm & Stein, Jeremy C., 2004.
"Market liquidity as a sentiment indicator,"
Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
- Malcolm Baker & Jeremy C. Stein, 2002. "Market Liquidity as a Sentiment Indicator," Harvard Institute of Economic Research Working Papers 1977, Harvard - Institute of Economic Research.
- Malcolm Baker & Jeremy C. Stein, 2002. "Market Liquidity as a Sentiment Indicator," NBER Working Papers 8816, National Bureau of Economic Research, Inc.
- Malcolm Baker & Jeffrey Wurgler, 2006.
"Investor Sentiment and the Cross‐Section of Stock Returns,"
Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
- Malcolm Baker & Jeffrey Wurgler, 2004. "Investor Sentiment and the Cross-Section of Stock Returns," NBER Working Papers 10449, National Bureau of Economic Research, Inc.
- Malcolm Baker & Jeffrey Wurgler, 2007.
"Investor Sentiment in the Stock Market,"
Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
- Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," NBER Working Papers 13189, National Bureau of Economic Research, Inc.
- Bruce E. Hansen, 2000.
"Sample Splitting and Threshold Estimation,"
Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
- Bruce E. Hansen, 1996. "Sample Splitting and Threshold Estimation," Boston College Working Papers in Economics 319., Boston College Department of Economics, revised 12 May 1998.
- Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991.
"Investor Sentiment and the Closed-End Fund Puzzle,"
Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
- Charles Lee & Andrei Shleifer & Richard Thaler, 1990. "Investor Sentiment and the Closed-End Fund Puzzle," NBER Working Papers 3465, National Bureau of Economic Research, Inc.
- Lee, Charles & Shleifer, Andrei & Thaler, Richard H., 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Scholarly Articles 27693394, Harvard University Department of Economics.
- Haiqiang Chen & Terence Tai Leung Chong & Yingni She, 2014.
"A principal component approach to measuring investor sentiment in China,"
Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 573-579, April.
- Chen, Haiqiang & Chong, Terence Tai Leung & She, Yingni, 2013. "A Principal Component Approach to Measuring Investor Sentiment in China," MPRA Paper 54150, University Library of Munich, Germany.
- Frank J. Fabozzi & Chun-Yip Fung & Kin Lam & Wing-Keung Wong, 2013. "Market overreaction and underreaction: tests of the directional and magnitude effects," Applied Financial Economics, Taylor & Francis Journals, vol. 23(18), pages 1469-1482, September.
- Lee, Keun Yeong, 2006. "The contemporaneous interactions between the U.S., Japan, and Hong Kong stock markets," Economics Letters, Elsevier, vol. 90(1), pages 21-27, January.
- Egozcue, Martín & García, Luis Fuentes & Wong, Wing-Keung & Zitikis, Ricardas, 2011. "Do investors like to diversify? A study of Markowitz preferences," European Journal of Operational Research, Elsevier, vol. 215(1), pages 188-193, November.
- Haiqiang Chen & Terence Tai-Leung Chong & Xin Duan, 2010. "A principal-component approach to measuring investor sentiment," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 339-347.
- Neal, Robert & Wheatley, Simon M., 1998. "Do Measures of Investor Sentiment Predict Returns?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(4), pages 523-547, December.
- Changyun Wang, 2001.
"Investor Sentiment and Return Predictability in Agricultural Futures Markets,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 929-952, October.
- Wang, Changyun, 2000. "Investor sentiment and return predictability in agricultural futures markets," MPRA Paper 36425, University Library of Munich, Germany, revised Sep 2002.
- Ephraim Clark & Zhuo Qiao & Wing-Keung Wong, 2016.
"Theories Of Risk: Testing Investor Behavior On The Taiwan Stock And Stock Index Futures Markets,"
Economic Inquiry, Western Economic Association International, vol. 54(2), pages 907-924, April.
- Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2016. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 74344, University Library of Munich, Germany.
- Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2017. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 82888, University Library of Munich, Germany.
- Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
- Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
- Schmeling, Maik, 2009.
"Investor sentiment and stock returns: Some international evidence,"
Journal of Empirical Finance, Elsevier, vol. 16(3), pages 394-408, June.
- Schmeling, Maik, 2008. "Investor sentiment and stock returns: Some international evidence," Hannover Economic Papers (HEP) dp-407, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015.
"Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange,"
Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
- Thi-Hong-Van Hoang & Wing-Keung Wong & Zhenzhen Zhu, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Post-Print hal-02010732, HAL.
- Guo, Xu & Wong, Wing-Keung, 2016. "Multivariate Stochastic Dominance for Risk Averters and Risk Seekers," MPRA Paper 70637, University Library of Munich, Germany.
- Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2016. "Almost stochastic dominance for risk averters and risk seeker," Finance Research Letters, Elsevier, vol. 19(C), pages 15-21.
- Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
- Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
- Fong, Wai Mun & Lean, Hooi Hooi & Wong, Wing Keung, 2008. "Stochastic dominance and behavior towards risk: The market for Internet stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 194-208, October.
- Lam, Kin & Liu, Taisheng & Wong, Wing-Keung, 2010. "A pseudo-Bayesian model in financial decision making with implications to market volatility, under- and overreaction," European Journal of Operational Research, Elsevier, vol. 203(1), pages 166-175, May.
- Qiao, Zhuo & Chiang, Thomas C. & Wong, Wing-Keung, 2008. "Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 425-437, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020.
"Review of Matrix Theory with Applications in Education and Decision Sciences,"
Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
- Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," International Association of Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
JRFM, MDPI, vol. 11(1), pages 1-29, March.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018.
"Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections,"
Econometric Institute Research Papers
18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Baochen Yang & Yifang Liu & Yunpeng Su, 2023. "Earnings communication conferences and post‐earnings‐announcement drift: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2145-2185, June.
- Pan, Wei-Fong, 2018. "Evidence of Investor Sentiment Contagion across Asset Markets," MPRA Paper 88561, University Library of Munich, Germany.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
Journal of Risk and Financial Management,
MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI 2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Muhammad Zia Ur Rehman & Zain ul Abidin & Faisal Rizwan & Zaheer Abbas & Sajjad Ahmad Baig, 2017. "How investor sentiments spillover from developed countries to developing countries?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1309096-130, January.
- Haiqiang Chen & Terence Tai Leung Chong & Yingni She, 2014.
"A principal component approach to measuring investor sentiment in China,"
Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 573-579, April.
- Chen, Haiqiang & Chong, Terence Tai Leung & She, Yingni, 2013. "A Principal Component Approach to Measuring Investor Sentiment in China," MPRA Paper 54150, University Library of Munich, Germany.
- Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2013. "Investor sentiment effect in stock markets: Stock characteristics or country-specific factors?," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 572-591.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections,"
Documentos de Trabajo del ICAE
2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
- Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
- Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
- Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
JRFM, MDPI, vol. 11(1), pages 1-29, March.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Aissia, Dorsaf Ben, 2016. "Home and foreign investor sentiment and the stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 71-77.
- Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2021.
"Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals,"
Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1593-1621, May.
- Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2020. "Investor Sentiment Effects on Share Price Deviations from their Intrinsic Values Based on Accounting Fundamentals," Discussion Papers 20-21, Department of Economics, University of Birmingham.
- Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2014. "Is cognitive bias really present in analyst forecasts? The role of investor sentiment," International Business Review, Elsevier, vol. 23(4), pages 824-837.
- Han, Xing & Li, Youwei, 2017.
"Can investor sentiment be a momentum time-series predictor? Evidence from China,"
Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
- Han, Xing & Li, Youwei, 2016. "Can Investor Sentiment Be a Momentum Time-Series Predictor? Evidence from China," RIEI Working Papers 2016-07, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration, revised 12 Jan 2017.
- Ung, Sze Nie & Gebka, Bartosz & Anderson, Robert D.J., 2023. "Is sentiment the solution to the risk–return puzzle? A (cautionary) note," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
- Yuan Li, 2022. "Mood Beta, Sentiment and Stock Returns in China," SAGE Open, , vol. 12(1), pages 21582440221, February.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
- Kim Kaivanto & Peng Zhang, 2019. "Investor Sentiment as a Predictor of Market Returns," Working Papers 268005798, Lancaster University Management School, Economics Department.
- Yang, Yan & Copeland, Laurence, 2014. "The Effects of Sentiment on Market Return and Volatility and The Cross-Sectional Risk Premium of Sentiment-affected Volatility," Cardiff Economics Working Papers E2014/12, Cardiff University, Cardiff Business School, Economics Section.
- Finter, Philipp & Niessen-Ruenzi, Alexandra & Ruenzi, Stefan, 2010.
"The impact of investor sentiment on the German stock market,"
CFR Working Papers
10-03, University of Cologne, Centre for Financial Research (CFR).
- Finter, Philipp & Niessen-Ruenzi, Alexandra & Ruenzi, Stefan, 2011. "The impact of investor sentiment on the German stock market," CFR Working Papers 10-03 [rev.], University of Cologne, Centre for Financial Research (CFR).
- Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
- Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
More about this item
Keywords
Principal component analysis; Market sentiment; CSI 300; Threshold model;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CNA-2017-03-05 (China)
- NEP-FMK-2017-03-05 (Financial Markets)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:77147. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.