IDEAS home Printed from https://ideas.repec.org/f/pch1534.html
   My authors  Follow this author

Haiqiang Chen

Personal Details

First Name:Haiqiang
Middle Name:
Last Name:Chen
Suffix:
RePEc Short-ID:pch1534
[This author has chosen not to make the email address public]

Affiliation

Wang Yanan Institute for Studies in Economics (WISE)
Xiamen University

Fujian, China
http://www.wise.xmu.edu.cn/

86-592-2180855
86-592-2187708

RePEc:edi:wixmucn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Chong, Terence Tai Leung & Chen, Haiqiang & Wong, Tsz Nga & Yan, Isabel K., 2015. "Estimation and Inference of Threshold Regression Models with Measurement Errors," MPRA Paper 68457, University Library of Munich, Germany.
  2. 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.
  3. Haiqiang Chen & Ying Fang & Yingxing Li, 2013. "Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines," SFB 649 Discussion Papers SFB649DP2013-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Chen, Haiqiang & Chong, Terence Tai Leung & Bai, Jushan, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," MPRA Paper 54527, University Library of Munich, Germany.
  5. Haiqiang Chen & Terence T. Chong, 2005. "Threshold Autoregressive Model with Multiple Threshold Variables," Departmental Working Papers _171, Chinese University of Hong Kong, Department of Economics.
  6. Seraph Xin Wang & Terence Tai-leung Chong & Haiqiang Chen, 2004. "Generic Consistency of the Break-Point Estimators under Specification Errors in a Multiple-Break Model," Departmental Working Papers _160, Chinese University of Hong Kong, Department of Economics.
  7. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

Articles

  1. Chen, Haiqiang, 2015. "Robust Estimation And Inference For Threshold Models With Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 31(4), pages 778-810, August.
  2. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015. "Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines," Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
  3. 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.
  4. He, Qing & Chen, Haiqiang, 2014. "Recent macroeconomic stability in China," China Economic Review, Elsevier, vol. 30(C), pages 505-519.
  5. Haiqiang Chen & Qian Han & Yingxing Li & Kai Wu, 2013. "Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(12), pages 1167-1190, December.
  6. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.
  7. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.
  8. Haiqiang Chen & Terence Tai‐Leung Chong & Zimu Li, 2011. "Are Chinese Stock Market Cycles Duration Independent?," The Financial Review, Eastern Finance Association, vol. 46(1), pages 151-164, February.
  9. 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.
  10. Terence Tai-Leung Chong & Zimu Li & Haiqiang Chen & Melvin Hinich, 2010. "An investigation of duration dependence in the American stock market cycle," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1407-1416.
  11. Chen, Haiqiang & Choi, Paul Moon Sub & Kim, Hyunseob, 2008. "American depositary receipts: Asia-Pacific evidence on convergence and dynamics," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 346-368, October.
  12. Jushan Bai & Haiqiang Chen & Terence Tai-Leung Chong & Seraph Xin Wang, 2008. "Generic consistency of the break-point estimators under specification errors in a multiple-break model," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 287-307, July.
  13. Hani, Y. & Amodeo, L. & Yalaoui, F. & Chen, H., 2007. "Ant colony optimization for solving an industrial layout problem," European Journal of Operational Research, Elsevier, vol. 183(2), pages 633-642, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 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.

    Cited by:

    1. 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.
    2. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    3. 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.
    4. Zhao, Yang & Lee, Cheng-Few & Yu, Min-Teh, 2020. "Does equity market timing have a persistent impact on capital structure? Evidence from China," The British Accounting Review, Elsevier, vol. 52(1).
    5. Zhou, Liyun & Huang, Jialiang, 2020. "Contagion of future-level sentiment in Chinese Agricultural Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. 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.
    7. Chong, Terence Tai-Leung & Cao, Bingqing & Wong, Wing Keung, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," MPRA Paper 77147, University Library of Munich, Germany.
    8. Chi-Wei Su & Xu-Yu Cai & Ran Tao, 2020. "Can Stock Investor Sentiment Be Contagious in China?," Sustainability, MDPI, Open Access Journal, vol. 12(4), pages 1-16, February.
    9. Mariem Talbi & Amel Ben Halima, 2019. "Global Contagion of Investor Sentiment during the US Subprime Crisis: The Case of the USA and the Region of Latin America," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 163-174.

  2. Haiqiang Chen & Ying Fang & Yingxing Li, 2013. "Estimation and Inference for Varying-coefficient Models with Nonstationary Regressors using Penalized Splines," SFB 649 Discussion Papers SFB649DP2013-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Liddle, Brantley & Messinis, George, 2014. "Revisiting carbon Kuznets curves with endogenous breaks modeling: Evidence of decoupling and saturation (but few inverted-Us) for individual OECD countries," MPRA Paper 59566, University Library of Munich, Germany.
    2. Poeschel, Friedrich, 2012. "Assortative matching through signals," IAB Discussion Paper 201215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  3. Chen, Haiqiang & Chong, Terence Tai Leung & Bai, Jushan, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," MPRA Paper 54527, University Library of Munich, Germany.

    Cited by:

    1. Donayre, Luiggi & Panovska, Irina, 2018. "U.S. wage growth and nonlinearities: The roles of inflation and unemployment," Economic Modelling, Elsevier, vol. 68(C), pages 273-292.
    2. Terence T.L. Chong & Isabel K. Yan, 2018. "Forecasting currency crises with threshold models," International Economics, CEPII research center, issue 156, pages 156-174.
    3. Stefan Avdjiev & Zheng Zeng, 2014. "Credit Growth, Monetary Policy, and Economic Activity in a Three-Regime TVAR Model," BIS Working Papers 449, Bank for International Settlements.
    4. Myung Hwan Seo & Yongcheol Shin, 2014. "Dynamic Panels with Threshold Effect and Endogeneity," STICERD - Econometrics Paper Series 577, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Chong, Terence Tai Leung & Chen, Haiqiang & Wong, Tsz Nga & Yan, Isabel K., 2015. "Estimation and Inference of Threshold Regression Models with Measurement Errors," MPRA Paper 68457, University Library of Munich, Germany.
    6. 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.
    7. Klingelhöfer, Jan & Sun, Rongrong, 2018. "China's regime-switching monetary policy," Economic Modelling, Elsevier, vol. 68(C), pages 32-40.
    8. Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
    9. 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.
    10. Monica Dudian & Mihaela Mosora & Cosmin Mosora & Stefanija Birova, 2017. "Oil Price and Economic Resilience. Romania’s Case," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-8, February.
    11. Apergis, Nicholas & Eleftheriou, Sofia, 2016. "Gold returns: Do business cycle asymmetries matter? Evidence from an international country sample," Economic Modelling, Elsevier, vol. 57(C), pages 164-170.
    12. Ma, Tao & Zhou, Zhou & Abdulhai, Baher, 2015. "Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 27-47.
    13. Arturo Lamadrid-Contreras & N.R. Ramírez-Rondán, 2018. "Panel Models with Two Threshold Variables: The Case of Financial Constraints," Working Papers 128, Peruvian Economic Association.

  4. Haiqiang Chen & Terence T. Chong, 2005. "Threshold Autoregressive Model with Multiple Threshold Variables," Departmental Working Papers _171, Chinese University of Hong Kong, Department of Economics.

    Cited by:

    1. Chang, Kuang Liang & Chen, Nan Kuang & Leung, Charles Ka Yui, 2011. "The Dynamics of Housing Returns in Singapore: How Important are the International Transmission Mechanisms?," MPRA Paper 32255, University Library of Munich, Germany.
    2. Chang, Kuang Liang & Chen, Nan Kuang & Leung, Charles Ka Yui, 2011. "In the Shadow of the United States: The International Transmission Effect of Asset Returns," MPRA Paper 32776, University Library of Munich, Germany.

  5. Seraph Xin Wang & Terence Tai-leung Chong & Haiqiang Chen, 2004. "Generic Consistency of the Break-Point Estimators under Specification Errors in a Multiple-Break Model," Departmental Working Papers _160, Chinese University of Hong Kong, Department of Economics.

    Cited by:

    1. Yu, Ping, 2015. "Consistency of the least squares estimator in threshold regression with endogeneity," Economics Letters, Elsevier, vol. 131(C), pages 41-46.
    2. Pang, Tianxiao & Tai-Leung Chong, Terence & Zhang, Danna & Liang, Yanling, 2018. "Structural Change In Nonstationary Ar(1) Models," Econometric Theory, Cambridge University Press, vol. 34(5), pages 985-1017, October.
    3. MeiChi Huang, 2017. "Vulnerabilities to housing bubbles: Evidence from linkages between housing prices and income fundamentals," International Finance, Wiley Blackwell, vol. 20(1), pages 64-91, March.
    4. Abi Morshed, Alaa & Andreou, E. & Boldea, Otilia, 2016. "Structural Break Tests Robust to Regression Misspecification," Discussion Paper 2016-019, Tilburg University, Center for Economic Research.
    5. Koo, Bonsoo & Seo, Myung Hwan, 2015. "Structural-break models under mis-specification: Implications for forecasting," Journal of Econometrics, Elsevier, vol. 188(1), pages 166-181.
    6. Hall Alastair & Sakkas Nikolaos, 2013. "Approximate p-Values of Certain Tests Involving Hypotheses About Multiple Breaks," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 53-67, July.
    7. Terence Tai-Leung Chong & Chi-Leung Wong & Venus Liew, 2006. "Estimation of the Autoregressive Order in the Presence of Measurement Errors," Economics Bulletin, AccessEcon, vol. 3(12), pages 1-10.
    8. Haiqiang Chen & Terence Chong & Jushan Bai, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 142-170.
    9. Chong, Terence Tai Leung & Chen, Haiqiang & Wong, Tsz Nga & Yan, Isabel K., 2015. "Estimation and Inference of Threshold Regression Models with Measurement Errors," MPRA Paper 68457, University Library of Munich, Germany.
    10. Chong Terence T. L. & He Qing & Hinich Melvin J, 2008. "The Nonlinear Dynamics of Foreign Reserves and Currency Crises," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-18, December.
    11. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    12. MeiChi Huang & LinYing Yeh, 2015. "Should the Fed take extra action for the recent housing bubble? Evidence from asymmetric transitory shocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 762-781, October.
    13. Alastair R. Hall & Sanggohn Han & Otilia Boldea, 2009. "Inference regarding multiple structural changes in linear models with endogenous regressors," Centre for Growth and Business Cycle Research Discussion Paper Series 125, Economics, The Univeristy of Manchester.
    14. Huang, MeiChi & Chiang, Hsiu-Hsuan, 2017. "An early alarm system for housing bubbles," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 34-49.
    15. Terence Tai-Leung Chong, 2007. "Estimating the Fractionally Integrated Model with a Break in the Differencing Parameter," Economics Bulletin, AccessEcon, vol. 3(67), pages 1-10.
    16. MeiChi Huang, 2020. "A threshold unobserved components model of housing bubbles: timings and effectiveness of monetary policies," Empirical Economics, Springer, vol. 59(2), pages 887-908, August.
    17. Wan, Jer-Yuh & Kao, Chung-Wei, 2009. "Price discovery in Taiwan's foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 77-93, February.

  6. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    2. Poeschel, Friedrich, 2012. "Assortative matching through signals," IAB Discussion Paper 201215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

Articles

  1. Chen, Haiqiang, 2015. "Robust Estimation And Inference For Threshold Models With Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 31(4), pages 778-810, August.
    See citations under working paper version above.
  2. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015. "Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines," Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
    See citations under working paper version above.
  3. 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.
    See citations under working paper version above.
  4. He, Qing & Chen, Haiqiang, 2014. "Recent macroeconomic stability in China," China Economic Review, Elsevier, vol. 30(C), pages 505-519.

    Cited by:

    1. Wang, Zanxin & Wei, Wei & Luo, Junwen & Calderon, Margaret, 2019. "The effects of petroleum product price regulation on macroeconomic stability in China," Energy Policy, Elsevier, vol. 132(C), pages 96-105.

  5. Haiqiang Chen & Qian Han & Yingxing Li & Kai Wu, 2013. "Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(12), pages 1167-1190, December.

    Cited by:

    1. Yongmin Zhang & Shusheng Ding & Eric Scheffel, 2018. "Policy impact on volatility dynamics in commodity futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1227-1245, October.
    2. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    3. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    4. Yang Gao & Bianxia Sun, 2018. "Impacts of Introducing Index Futures on Stock Market Volatilities: New Evidences from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-23, December.
    5. Jinyu Liu & Rui Zhong, 2018. "Equity index futures trading and stock price crash risk: Evidence from Chinese markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(11), pages 1313-1333, November.
    6. Qian Han & Jufang Liang, 2017. "Index Futures Trading Restrictions and Spot Market Quality: Evidence from the Recent Chinese Stock Market Crash," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 411-428, April.
    7. Hua, Renhai & Liu, Qingfu & Tse, Yiuman, 2016. "Extended trading in Chinese index markets: Informed or uninformed?," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 112-122.
    8. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Role of index futures on China's stock markets: Evidence from price discovery and volatility spillover," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 13-26.
    9. Huo, Rui & Ahmed, Abdullahi D., 2018. "Relationships between Chinese stock market and its index futures market: Evaluating the impact of QFII scheme," Research in International Business and Finance, Elsevier, vol. 44(C), pages 135-152.
    10. Geeta Duppati & Yang (Greg) Hou & Frank Scrimgeour, 2017. "The dynamics of price discovery for cross-listed stocks evidence from US and Chinese markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389675-138, January.

  6. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.

    Cited by:

    1. Zouheir Ahmed Mighri & Majid Ibrahim Alsaggaf, 2019. "Asymmetric Threshold Cointegration and Nonlinear Adjustment between Oil Prices and Financial Stress," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 87-105.
    2. Qadan, Mahmoud, 2018. "Switches in price discovery: Are U.S. traders more qualified in making valuations?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 221-234.
    3. Thomas Dimpfl & Franziska J. Peter, 2015. "Price discovery in the markets for credit risk: A Markov switching approach," SFB 649 Discussion Papers SFB649DP2015-035, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    5. Ying Jiang & Neil Kellard & Xiaoquan Liu, 2020. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1486-1507, October.
    6. Marta Khomyn, 2020. "Essays on Modern Market Structure," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2020, September.
    7. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    8. Arzandeh, Mehdi & Frank, Julieta, 2017. "Price Discovery in Agricultural Futures Markets: Should We Look Beyond the Best Bid-Ask Spread?," Annual Meeting, 2017, June 18-21, Montreal, Canada 259344, Canadian Agricultural Economics Society.
    9. Joakim Westerlund & Simon Reese & Paresh Narayan, 2017. "A Factor Analytical Approach to Price Discovery," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 366-394, June.
    10. Zouheir Mighri & Faysal Mansouri, 2016. "Asymmetric price transmission within the Argentinean stock market: an asymmetric threshold cointegration approach," Empirical Economics, Springer, vol. 51(3), pages 1115-1149, November.
    11. Zouheir Ahmed Mighri & Majid Ibrahim Al Saggaf, 2018. "Gold - Silver Nexus: A Threshold Cointegration Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 8(5), pages 210-219.
    12. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.

  7. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.

    Cited by:

    1. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.
    2. Qadan, Mahmoud, 2018. "Switches in price discovery: Are U.S. traders more qualified in making valuations?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 221-234.
    3. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2014. "Industry co-movement and cross-listing: Do home country factors matter?," Japan and the World Economy, Elsevier, vol. 32(C), pages 96-110.
    4. Frijns, Bart & Gilbert, Aaron & Tourani-Rad, Alireza, 2015. "The determinants of price discovery: Evidence from US-Canadian cross-listed shares," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 457-468.
    5. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
    6. Alhaj-Yaseen, Yaseen S. & Lam, Eddery & Barkoulas, John T., 2014. "Price discovery for cross-listed firms with foreign IPOs," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 80-87.
    7. Arzandeh, Mehdi & Frank, Julieta, 2017. "Price Discovery in Agricultural Futures Markets: Should We Look Beyond the Best Bid-Ask Spread?," Annual Meeting, 2017, June 18-21, Montreal, Canada 259344, Canadian Agricultural Economics Society.
    8. Kohonen, Anssi, 2013. "On detection of volatility spillovers in overlapping stock markets," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 140-158.
    9. Ghadhab, Imen & Hellara, Slaheddine, 2016. "Price discovery of cross-listed firms," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 177-188.
    10. Hauser, Florian & Schredelseker, Klaus, 2018. "Who benefits from insider regulation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 203-210.
    11. Frijns, Bart & Indriawan, Ivan & Tourani-Rad, Alireza, 2018. "The interactions between price discovery, liquidity and algorithmic trading for U.S.-Canadian cross-listed shares," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 136-152.
    12. Kryzanowski, Lawrence & Perrakis, Stylianos & Zhong, Rui, 2017. "Price discovery in equity and CDS markets," Journal of Financial Markets, Elsevier, vol. 35(C), pages 21-46.
    13. Kohonen, Anssi, 2012. "On detection of volatility spillovers in simultaneously open stock markets," MPRA Paper 37504, University Library of Munich, Germany.
    14. Louis Gagnon & Jonathan Witmer, 2014. "Distribution of Ownership, Short Sale Constraints, and Market Efficiency: Evidence from Cross-Listed Stocks," Financial Management, Financial Management Association International, vol. 43(3), pages 631-670, September.
    15. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    16. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.
    17. Frijns, Bart & Indriawan, Ivan & Tourani-Rad, Alireza, 2015. "Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 35-48.

  8. Haiqiang Chen & Terence Tai‐Leung Chong & Zimu Li, 2011. "Are Chinese Stock Market Cycles Duration Independent?," The Financial Review, Eastern Finance Association, vol. 46(1), pages 151-164, February.

    Cited by:

    1. Ahmet Inci, 2011. "Capital Investment, Earnings, and Annual Stock Returns: Causality Relationships In China," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 95-125, December.
    2. Terence Tai-Leung Chong & Xiaolei Wang, 2009. "The Nexus between Analyst Forecast Dispersion and Expected Returns Surrounding Stock Market Crashes," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 2(1), pages 1-19, December.
    3. Mariana STANCIU, 2016. "Evolution Of The Family Structures In Romania," Journal of Community Positive Practices, Catalactica NGO, issue 4, pages 80-100.
    4. Terence t. l. Chong & Xiaolei Wang, 2013. "Can analyst predict stock market crashes?," Economics Bulletin, AccessEcon, vol. 33(1), pages 158-166.
    5. 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.
    6. Wenjuan Xie, 2013. "Do Investors See Through Accounting Profitability and Recognize Efficiency? Evidence from Chinese Listed Companies," Multinational Finance Journal, Multinational Finance Journal, vol. 17(3-4), pages 243-293, September.
    7. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.

  9. 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.

    Cited by:

    1. Karl Ludwig Keiber & Helene Samyschew, 2015. "The role of sentiment in global risk premia," Applied Economics, Taylor & Francis Journals, vol. 47(20), pages 2073-2091, April.
    2. Yang, Chunpeng & Zhou, Liyun, 2016. "Individual stock crowded trades, individual stock investor sentiment and excess returns," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 39-53.
    3. Tan, Siow-Hooi & Lai, Ming-Ming & Tey, Eng-Xin & Chong, Lee-Lee, 2020. "Testing the performance of technical analysis and sentiment-TAR trading rules in the Malaysian stock market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    4. 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).
    5. 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.
    6. Liyun Zhou & Chunpeng Yang, 2020. "Investor sentiment, investor crowded-trade behavior, and limited arbitrage in the cross section of stock returns," Empirical Economics, Springer, vol. 59(1), pages 437-460, July.
    7. Joshua Zoen Git Hiew & Xin Huang & Hao Mou & Duan Li & Qi Wu & Yabo Xu, 2019. "BERT-based Financial Sentiment Index and LSTM-based Stock Return Predictability," Papers 1906.09024, arXiv.org.
    8. Keiber, Karl Ludwig & Samyschew, Helene, 2017. "The world price of sentiment risk," Global Finance Journal, Elsevier, vol. 32(C), pages 62-82.
    9. 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.
    10. Pan, Wei-Fong, 2018. "Evidence of Investor Sentiment Contagion across Asset Markets," MPRA Paper 88561, University Library of Munich, Germany.
    11. Terence Tai-Leung Chong & Wing-Kam Ng & Venus Khim-Sen Liew, 2014. "Revisiting the Performance of MACD and RSI Oscillators," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 7(1), pages 1-12, February.
    12. Yang, Chunpeng & Zhou, Liyun, 2015. "Investor trading behavior, investor sentiment and asset prices," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 42-62.
    13. Chong, Terence Tai-Leung & Cao, Bingqing & Wong, Wing Keung, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," MPRA Paper 77147, University Library of Munich, Germany.
    14. Yanhui Chen & Kin Lai & Jiangze Du, 2014. "Modeling and forecasting Hang Seng index volatility with day-of-week effect, spillover effect based on ARIMA and HAR," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 113-132, December.
    15. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and the stock market response to earnings news," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 221-240.
    16. Condorelli, Stefano, 2018. "Price momentum and the 1719-20 bubbles: A method to compare and interpret booms and crashes in asset markets," MPRA Paper 89888, University Library of Munich, Germany.
    17. Ni, Yensen & Day, Min-Yuh & Huang, Paoyu & Yu, Shang-Ru, 2020. "The profitability of Bollinger Bands: Evidence from the constituent stocks of Taiwan 50," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    18. Mariem Talbi & Amel Ben Halima, 2019. "Global Contagion of Investor Sentiment during the US Subprime Crisis: The Case of the USA and the Region of Latin America," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 163-174.
    19. Yawen Hudson & Christopher J. Green, 2013. "Born in the USA? Contagious investor sentiment and UK equity returns," Discussion Paper Series 2013_13, Department of Economics, Loughborough University, revised Nov 2013.

  10. Terence Tai-Leung Chong & Zimu Li & Haiqiang Chen & Melvin Hinich, 2010. "An investigation of duration dependence in the American stock market cycle," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1407-1416.

    Cited by:

    1. Si, Deng-Kui & Liu, Xi-Hua & Kong, Xianli, 2019. "The comovement and causality between stock market cycle and business cycle in China: Evidence from a wavelet analysis," Economic Modelling, Elsevier, vol. 83(C), pages 17-30.
    2. Li, Ziran & Sun, Jiajing & Wang, Shouyang, 2013. "Amplitude-Duration-Persistence Trade-off Relationship for Long Term Bear Stock Markets," MPRA Paper 54177, University Library of Munich, Germany.
    3. Vitor Castro, 2011. "The Portuguese Stock Market Cycle: Chronology and Duration Dependence," GEMF Working Papers 2011-17, GEMF, Faculty of Economics, University of Coimbra.
    4. Dębski Wiesław & Feder-Sempach Ewa, 2012. "Beta Coefficients of Polish Blue Chip Companies in the Period Of 2005–2011," Folia Oeconomica Stetinensia, Sciendo, vol. 12(2), pages 90-102, December.

  11. Chen, Haiqiang & Choi, Paul Moon Sub & Kim, Hyunseob, 2008. "American depositary receipts: Asia-Pacific evidence on convergence and dynamics," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 346-368, October.

    Cited by:

    1. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.
    2. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2014. "Industry co-movement and cross-listing: Do home country factors matter?," Japan and the World Economy, Elsevier, vol. 32(C), pages 96-110.
    3. Stanley Peterburgsky & Yini Yang, 2013. "Diversification potential of ADRs, country funds and underlying stocks across economic conditions," Applied Financial Economics, Taylor & Francis Journals, vol. 23(3), pages 199-219, February.
    4. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.
    5. Ghadhab, Imen & Hellara, Slaheddine, 2016. "Price discovery of cross-listed firms," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 177-188.

  12. Jushan Bai & Haiqiang Chen & Terence Tai-Leung Chong & Seraph Xin Wang, 2008. "Generic consistency of the break-point estimators under specification errors in a multiple-break model," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 287-307, July.
    See citations under working paper version above.
  13. Hani, Y. & Amodeo, L. & Yalaoui, F. & Chen, H., 2007. "Ant colony optimization for solving an industrial layout problem," European Journal of Operational Research, Elsevier, vol. 183(2), pages 633-642, December.

    Cited by:

    1. I. Jerin Leno & S. Saravana Sankar & S. G. Ponnambalam, 2018. "MIP model and elitist strategy hybrid GA–SA algorithm for layout design," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 369-387, February.
    2. Komarudin & Wong, Kuan Yew, 2010. "Applying Ant System for solving Unequal Area Facility Layout Problems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 730-746, May.
    3. Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar, 2020. "A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 615-640, March.
    4. Huang, Rong-Hwa & Yang, Chang-Lin & Cheng, Wei-Che, 2013. "Flexible job shop scheduling with due window—a two-pheromone ant colony approach," International Journal of Production Economics, Elsevier, vol. 141(2), pages 685-697.
    5. Jerzy Grobelny & Rafal Michalski, 2015. "Comparative analysis of regular grid based algorithms in the design of graphical control panels," WORking papers in Management Science (WORMS) WORMS/15/03, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2013-07-28 2013-07-28 2015-12-28
  2. NEP-ETS: Econometric Time Series (2) 2013-07-28 2013-07-28
  3. NEP-ORE: Operations Research (2) 2013-07-28 2015-12-28

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Haiqiang Chen should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.