IDEAS home Printed from https://ideas.repec.org/r/osu/osuewp/005.html
   My bibliography  Save this item

Risk, Return and Regulation in Chinese Stock Markets

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Friedmann, Ralph & Sanddorf-Kohle, Walter G., 2007. "A conditional distribution model for limited stock index returns," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 721-741, March.
  2. Su, Dongwei & Fleisher, Belton M., 1999. "Why does return volatility differ in Chinese stock markets?," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 557-586, December.
  3. Gagan Deep Sharma & Mandeep Mahendru & Mrinalini Srivastava, 2019. "Can Central Banking Policies Make a Difference in Financial Market Performance in Emerging Economies? The Case of India," Economies, MDPI, vol. 7(2), pages 1-19, May.
  4. Young, Michael N. & McGuinness, Paul B., 2001. "The missing link: why stock markets have been ineffective in Chinese SOE reform," Business Horizons, Elsevier, vol. 44(4), pages 55-62.
  5. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
  6. Friedmann, Ralph & Sanddorf-Kohle, Walter G., 2002. "Volatility clustering and nontrading days in Chinese stock markets," Journal of Economics and Business, Elsevier, vol. 54(2), pages 193-217.
  7. repec:ebl:ecbull:v:7:y:2008:i:15:p:1-16 is not listed on IDEAS
  8. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
  9. Los, Cornelis A. & Yu, Bing, 2008. "Persistence characteristics of the Chinese stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 64-82.
  10. Joe Appiah‐Kusi & Kojo Menyah, 2003. "Return predictability in African stock markets," Review of Financial Economics, John Wiley & Sons, vol. 12(3), pages 247-270.
  11. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
  12. J. Wang & B. M. Burton & D. M. Power, 2004. "Analysis of the overreaction effect in the Chinese stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 11(7), pages 437-442.
  13. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
  14. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
  15. Demirer, RIza & Kutan, Ali M., 2006. "Does herding behavior exist in Chinese stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 123-142, April.
  16. Fifield, Suzanne G.M. & Jetty, Juliana, 2008. "Further evidence on the efficiency of the Chinese stock markets: A note," Research in International Business and Finance, Elsevier, vol. 22(3), pages 351-361, September.
  17. Appiah-Kusi, Joe & Menyah, Kojo, 2003. "Return predictability in African stock markets," Review of Financial Economics, Elsevier, vol. 12(3), pages 247-270.
  18. Chan, Kam C. & Fung, Hung-Gay & Thapa, Samanta, 2007. "China financial research: A review and synthesis," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 416-428.
  19. Wang, Ping & Liu, Aying & Wang, Peijie, 2004. "Return and risk interactions in Chinese stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(4), pages 367-383, October.
  20. Xiangmei Fan & Yanrui Wu & Nicolaas Groenewold, 2003. "The Stock Return-volume Relation and Policy Effects: The Case of the Chinese Energy Sector," Economics Discussion / Working Papers 03-15, The University of Western Australia, Department of Economics.
  21. Bruno Benevit & Daniel Uhr & João Vítor Paz Corrales & Júlia Gallego Ziero Uhr, 2023. "The Effect of 2021 Brazil’s “Proposal for Free Market Expansion of the Electricity Sector†on Short-Term Stock Prices and Volatility," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(2), pages 1-5.
  22. Su, Dongwei & Fleisher, Belton M., 1999. "An empirical investigation of underpricing in Chinese IPOs," Pacific-Basin Finance Journal, Elsevier, vol. 7(2), pages 173-202, May.
  23. Xinyue Dong & Honggang Li, 2019. "The Effect of Extremely Small Price Limits: Evidence from the Early Period of the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1516-1530, May.
  24. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
  25. 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.
  26. Qing Cao & Mark Parry & Karyl Leggio, 2011. "The three-factor model and artificial neural networks: predicting stock price movement in China," Annals of Operations Research, Springer, vol. 185(1), pages 25-44, May.
  27. Long, Wen & Mok, Henry M.K. & Hu, Yan & Wang, Huiwen, 2009. "The style and innate structure of the stock markets in China," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 224-242, April.
  28. repec:ebl:ecbull:v:7:y:2007:i:9:p:1-12 is not listed on IDEAS
  29. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh, 2021. "Impacts of COVID-19 outbreak on the spillovers between US and Chinese stock sectors," Finance Research Letters, Elsevier, vol. 40(C).
  30. Ruan, Qingsong & Wang, Zilin & Zhou, Yaping & Lv, Dayong, 2020. "A new investor sentiment indicator (ISI) based on artificial intelligence: A powerful return predictor in China," Economic Modelling, Elsevier, vol. 88(C), pages 47-58.
  31. Girardin, Eric & Liu, Zhenya, 2005. "Bank credit and seasonal anomalies in China's stock markets," China Economic Review, Elsevier, vol. 16(4), pages 465-483.
  32. Dongwei Su, 2000. "Asset Pricing in A Segmented Emerging Market," Journal of Applied Economics, Universidad del CEMA, vol. 3, pages 387-412, November.
  33. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Trader differences in Shanghai’s A-share and B-share markets: Effects on interaction with the Shanghai housing market," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
  34. Carl B.McGowan, Jr. & Susan E. Moeller, 2009. "A Model for Making Foreign Direct Investment Decisions Using Real Variables for Political and Economic Risk Analysis," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 7(1), pages 27-44.
  35. Darrat, Ali F & Zhong, Maosen, 2000. "On Testing the Random-Walk Hypothesis: A Model-Comparison Approach," The Financial Review, Eastern Finance Association, vol. 35(3), pages 105-124, August.
  36. Ghysels, Eric & Liu, Hanwei, 2017. "Downside Risk in the Chinese Stock Market - Has it Fundamentally Changed?," CEPR Discussion Papers 12180, C.E.P.R. Discussion Papers.
  37. Shyh-Wei Chen, 2008. "Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-16.
  38. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018. "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 205-230.
  39. Mansi Jain & Gagan Deep Sharma & Mrinalini Srivastava, 2019. "Can Sustainable Investment Yield Better Financial Returns: A Comparative Study of ESG Indices and MSCI Indices," Risks, MDPI, vol. 7(1), pages 1-18, February.
  40. Xiao-Ming Li & Qing Xu, 2007. "Evaluating density forecasts of the model with a conditional skewed-t distribution for China's stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(3), pages 213-227.
  41. Chien-Liang Chiu & Mingchih Lee & Chun-Da Chen, 2005. "Removal of an investment restriction: the 'B' share experience from China's stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 15(4), pages 273-285.
  42. Giannopoulos, George & Degiannakis, Stavros & Holt, Andrew & Pongpoonsuksri, Teerapon, 2018. "The Impact of the 2007 Global Financial Crisis on IPO Performance in Asian-Pacific Emerging Markets," MPRA Paper 96269, University Library of Munich, Germany.
  43. Poon, Winnie P. H. & Fung, Hung-Gay, 2000. "Red chips or H shares: which China-backed securities process information the fastest?," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 315-343, December.
  44. Hou, Ai Jun, 2013. "Asymmetry effects of shocks in Chinese stock markets volatility: A generalized additive nonparametric approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 12-32.
  45. Chung-Hua Shen & Chien-Fu Chen & Li-Hsueh Chen, 2007. "An empirical study of the asymmetric cointegration relationships among the Chinese stock markets," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1433-1445.
  46. Robert Brooks & Vanitha Ragunathan, 2003. "Returns and volatility on the Chinese stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 13(10), pages 747-752.
  47. Ezzat, Hassan, 2012. "The Application of GARCH Methods in Modeling Volatility Using Sector Indices from the Egyptian Exchange," MPRA Paper 51584, University Library of Munich, Germany.
  48. Ping Wang & Peijie Wang & Aying Liu, 2005. "Stock return volatility and trading volume: evidence from the chinese stock market," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 3(1), pages 39-54.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.