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Jinliang Li

Personal Details

First Name:Jinliang
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli725
[This author has chosen not to make the email address public]

Affiliation

School of Economics and Management
Tsinghua University

Beijing, China
http://www.sem.tsinghua.edu.cn/

:


RePEc:edi:setsicn (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Jinliang Li, 2011. "Cash trading and index futures price volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(5), pages 465-486, May.
  2. Jinliang Li & Chunchi Wu, 2011. "Stochastic volatility, liquidity and intraday information flow," Applied Economics Letters, Taylor & Francis Journals, vol. 18(16), pages 1511-1515.
  3. Jinliang Li & Liang Lei, 2011. "Determinants and information of REIT pricing," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1501-1505.
  4. Jinliang Li & Chihwa Kao & Wei David Zhang, 2010. "Bounded influence estimator for GARCH models: evidence from foreign exchange rates," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1437-1445.
  5. Jinliang Li & Robert M. Mooradian & Shiawee X. Yang, 2009. "The Information Content of the NCREIF Index," Journal of Real Estate Research, American Real Estate Society, vol. 31(1), pages 93-116.
  6. Jinliang Li & Jeffery A. Born, 2006. "Presidential Election Uncertainty And Common Stock Returns In The United States," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 609-622.
  7. Jinliang Li & Chunchi Wu, 2006. "Daily Return Volatility, Bid-Ask Spreads, and Information Flow: Analyzing the Information Content of Volume," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2697-2740, September.
  8. Zhang, Wei David & Seyedian, Mojtaba & Li, Jinliang, 2005. "Margin borrowing, stock returns, and market volatility: Evidence from margin credit balance," Economics Letters, Elsevier, vol. 87(2), pages 273-278, May.
  9. Chunchi Wu & Jinliang Li & Wei Zhang, 2005. "Intradaily periodicity and volatility spillovers between international stock index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(6), pages 553-585, June.
  10. Wei Zhang & Jinliang Li & Chunchi Wu, 2004. "To Trade or Not to Trade: The Effect of Broker Search and Discretionary Trading on Securities Market Performance," The Financial Review, Eastern Finance Association, vol. 39(2), pages 271-292, May.

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.

Articles

  1. Jinliang Li & Liang Lei, 2011. "Determinants and information of REIT pricing," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1501-1505.

    Cited by:

    1. Pierpaolo Pattitoni & Barbara Petracci & Massimo Spisni, 2012. "REIT modified duration and convexity," Economics and Business Letters, Oviedo University Press, vol. 1(3), pages 1-7.

  2. Jinliang Li & Chihwa Kao & Wei David Zhang, 2010. "Bounded influence estimator for GARCH models: evidence from foreign exchange rates," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1437-1445.

    Cited by:

    1. Ryoko Ito, 2016. "Asymptotic Theory for Beta-t-GARCH," Cambridge Working Papers in Economics 1607, Faculty of Economics, University of Cambridge.

  3. Jinliang Li & Robert M. Mooradian & Shiawee X. Yang, 2009. "The Information Content of the NCREIF Index," Journal of Real Estate Research, American Real Estate Society, vol. 31(1), pages 93-116.

    Cited by:

    1. Kishor, N. Kundan, 2017. "Understanding the Relationship between Public and Private Commercial Real Estate Markets," MPRA Paper 83475, University Library of Munich, Germany.
    2. Martin Hoesli & Elias Oikarinen, 2012. "Are REITs real estate? Evidence from international sector level data," ERES eres2012_232, European Real Estate Society (ERES).
    3. Viktoriya Lantushenko & Edward Nelling, 2017. "Institutional Property-Type Herding in Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 459-481, May.
    4. David C. Ling & Andy Naranjo, 2015. "Returns and Information Transmission Dynamics in Public and Private Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(1), pages 163-208, March.
    5. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    6. Elias OIKARINEN & Martin HOESLI & Camilo SERRANO, "undated". "Linkages Between Direct and Securitized Real Estate," Swiss Finance Institute Research Paper Series 09-26, Swiss Finance Institute.
    7. Jing Liu & Geoffrey Loudon & George Milunovich, 2012. "Linkages between international REITs: the role of economic factors," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 30(5), pages 473-492, August.

  4. Jinliang Li & Jeffery A. Born, 2006. "Presidential Election Uncertainty And Common Stock Returns In The United States," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 609-622.

    Cited by:

    1. Dimitrios Asteriou & Antonios Sarantidis, 2016. "Political instability and stock market returns: Evidence from OECD countries," Economics and Business Letters, Oviedo University Press, vol. 5(4), pages 113-124.
    2. Bryan T. Kelly & Lubos Pastor & Pietro Veronesi, 2014. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," Working Papers 2014-001, Becker Friedman Institute for Research In Economics.
    3. Jamal Bouoiyour & Refk Selmi, 2017. "The Price of Political Uncertainty: Evidence from the 2016 U.S. Presidential Election and the U.S. Stock Markets," Working Papers hal-01419295, HAL.
    4. Lee A. Smales, 2017. "“Brexit”: A Case Study in the Relationship Between Political and Financial Market Uncertainty," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 451-459, September.
    5. Acker, Daniella & Duck, Nigel W., 2015. "Political risk, investor attention and the Scottish Independence referendum," Finance Research Letters, Elsevier, vol. 13(C), pages 163-171.
    6. SingRu Hoe & Srinivas Nippani, 2017. "2016 U.S. Presidential Election and Stock Markets in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 32-38, July.
    7. Smales, Lee A., 2015. "Better the devil you know: The influence of political incumbency on Australian financial market uncertainty," Research in International Business and Finance, Elsevier, vol. 33(C), pages 59-74.
    8. Ray Sturm, 2013. "Economic policy and the presidential election cycle in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 200-215, April.
    9. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    10. Goodell, John W. & Vähämaa, Sami, 2013. "US presidential elections and implied volatility: The role of political uncertainty," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1108-1117.
    11. Smales, Lee A., 2014. "Political uncertainty and financial market uncertainty in an Australian context," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 415-435.
    12. Goodell, John W. & McGroarty, Frank & Urquhart, Andrew, 2015. "Political uncertainty and the 2012 US presidential election: A cointegration study of prediction markets, polls and a stand-out expert," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 162-171.
    13. Lau, Chi Keung Marco & Demir, Ender & Bilgin, Mehmet Huseyin, 2013. "Experience-based corporate corruption and stock market volatility: Evidence from emerging markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 1-13.
    14. Liu, Jiapeng & Tao, Qizhi & Hou, Wenxuan & Zhang, Ting, 2016. "Systematic risk, government policy intervention, and dynamic contrarian investments," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 334-343.
    15. Andrew C. Worthington, 2009. "Political Cycles in the Australian Stock Market since Federation," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(4), pages 397-409.

  5. Jinliang Li & Chunchi Wu, 2006. "Daily Return Volatility, Bid-Ask Spreads, and Information Flow: Analyzing the Information Content of Volume," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2697-2740, September.

    Cited by:

    1. He, Yan & Lin, Hai & Wang, Junbo & Wu, Chunchi, 2009. "Price discovery in the round-the-clock U.S. Treasury market," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 464-490, July.
    2. Karanasos, Menelaos & Xu, Yongdeng, 2017. "Matrix Inequality Constraints for Vector (Asymmetric Power) GARCH/HEAVY Models and MEM with spillovers: some New (Mixture) Formulations," Cardiff Economics Working Papers E2017/14, Cardiff University, Cardiff Business School, Economics Section.
    3. Sami, Heibatollah & Zhou, Haiyan, 2008. "Do auditing standards improve the accounting disclosure and information environment of public companies? Evidence from the emerging markets in China," The International Journal of Accounting, Elsevier, vol. 43(2), pages 139-169.
    4. Karanasos, M. & Kartsaklas, A., 2009. "Dual long-memory, structural breaks and the link between turnover and the range-based volatility," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 838-851, December.
    5. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2015. "Measuring the Liquidity Part of Volume," Post-Print hal-01632766, HAL.
    6. Louhichi, Waël, 2011. "What drives the volume-volatility relationship on Euronext Paris?," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 200-206, August.
    7. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    8. Slim, Skander & Dahmene, Meriam, 2016. "Asymmetric information, volatility components and the volume–volatility relationship for the CAC40 stocks," Global Finance Journal, Elsevier, vol. 29(C), pages 70-84.
    9. Jawadi Fredj & Ureche-Rangau Loredana, 2013. "Threshold linkages between volatility and trading volume: evidence from developed and emerging markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 313-333, May.
    10. Wang, Junbo & Wu, Chunchi, 2015. "Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 183-203.
    11. S. Bhaumik & M. Karanasos & A. Kartsaklas, 2008. "Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market," William Davidson Institute Working Papers Series wp935, William Davidson Institute at the University of Michigan.
    12. Jinliang Li, 2016. "When noise trading fades, volatility rises," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 475-512, October.
    13. Laivi Laidroo, 2011. "Market Liquidity and Public Announcements' Disclosure Quality on Tallinn, Riga, and Vilnius Stock Exchanges," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 54-79, July.
    14. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
    15. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    16. Bhaumik, S. & Karanasos, M. & Kartsaklas, A., 2016. "The informative role of trading volume in an expanding spot and futures market," Journal of Multinational Financial Management, Elsevier, vol. 35(C), pages 24-40.

  6. Zhang, Wei David & Seyedian, Mojtaba & Li, Jinliang, 2005. "Margin borrowing, stock returns, and market volatility: Evidence from margin credit balance," Economics Letters, Elsevier, vol. 87(2), pages 273-278, May.

    Cited by:

    1. Tibor Neugebauer & Sascha Füllbrunn, 2013. "Deflating Bubbles in Experimental Asset Markets: Comparative Statics of Margin Regulations," LSF Research Working Paper Series 13-14, Luxembourg School of Finance, University of Luxembourg.
    2. Rashid, Abdul & Ahmad, Shabbir, 2008. "Badla Financing, Stock Returns and Volatility: The Case Study of Karachi Stock Exchange," MPRA Paper 30487, University Library of Munich, Germany.

  7. Chunchi Wu & Jinliang Li & Wei Zhang, 2005. "Intradaily periodicity and volatility spillovers between international stock index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(6), pages 553-585, June.

    Cited by:

    1. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2017. "Asymmetry in spillover effects: Evidence for international stock index futures markets," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 94-111.
    2. Hou, Yang & Li, Steven, 2017. "Time-Varying Price Discovery and Autoregressive Loading Factors: Evidence from S&P 500 Cash and E-Mini Futures Markets," MPRA Paper 81999, University Library of Munich, Germany.
    3. Antonakakis, Nikolaos & Floros, Christos & Kizys, Renatas, 2016. "Dynamic spillover effects in futures markets: UK and US evidence," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 406-418.
    4. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    5. Çelik, Sibel & Ergin, Hüseyin, 2014. "Volatility forecasting using high frequency data: Evidence from stock markets," Economic Modelling, Elsevier, vol. 36(C), pages 176-190.
    6. Kung, Ling-Ming & Yu, Shang-Wu, 2008. "Prediction of index futures returns and the analysis of financial spillovers--A comparison between GARCH and the grey theorem," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1184-1200, May.
    7. Anagnostidis, Panagiotis & Emmanouilides, Christos J., 2015. "Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 473-487.
    8. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.

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