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Jinliang Li

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First Name:Jinliang
Middle Name:
Last Name:Li
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RePEc Short-ID:pli725
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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

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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, December.
  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.
    2. Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020. "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, vol. 162(C), pages 80-91.

  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, 2009. "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, December.

    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. Faridah Najuna Misman & Shashazrina Roslan & Muhammad Izzat Mat Aladin, 2020. "General Election and Stock Market Performance: A Malaysian Case," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 139-145, June.
    3. Chan, Kam Fong & Gray, Philip & Gray, Stephen & Zhong, Angel, 2020. "Political uncertainty, market anomalies and Presidential honeymoons," Journal of Banking & Finance, Elsevier, vol. 113(C).
    4. Julia Darby & Jun Gao & Siobhan Lucey & Sheng Zhu, 2019. "Is heightened political uncertainty priced in stock returns? Evidence from the 2014 Scottish independence referendum," Working Papers 1913, University of Strathclyde Business School, Department of Economics.
    5. Pham, Huy Nguyen Anh & Ramiah, Vikash & Moosa, Nisreen & Huynh, Tam & Pham, Nhi, 2018. "The financial effects of Trumpism," Economic Modelling, Elsevier, vol. 74(C), pages 264-274.
    6. Imlak Shaikh, 2019. "The U.S. Presidential Election 2012/2016 and Investors’ Sentiment: The Case of CBOE Market Volatility Index," SAGE Open, , vol. 9(3), pages 21582440198, July.
    7. 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.
    8. Bryan Kelly & Lubos Pastor & Pietro Veronesi, 2014. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," NBER Working Papers 19812, National Bureau of Economic Research, Inc.
    9. Redl, Chris, 2020. "Uncertainty matters: Evidence from close elections," Journal of International Economics, Elsevier, vol. 124(C).
    10. 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.
    11. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media, political uncertainty, and stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 1137-1153, October.
    12. Chen, Shaojian & Mao, Hui & Feng, Zongxian, 2020. "Political uncertainty and firm entry: Evidence from Chinese manufacturing industries," Journal of Business Research, Elsevier, vol. 120(C), pages 16-30.
    13. 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.
    14. Herold, Michael & Kanz, Andreas & Muck, Matthias, 2021. "Do opinion polls move stock prices? Evidence from the US presidential election in 2016," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 665-690.
    15. 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.
    16. Bahar Ulupinar & Isa Camyar, 2020. "Election Uncertainty and Capital Structure," Economics Bulletin, AccessEcon, vol. 40(1), pages 425-436.
    17. 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.
    18. Liew, Venus Khim-Sen & Rowland, Racquel, 2016. "The effect of Malaysia general election on stock market returns," MPRA Paper 107982, University Library of Munich, Germany.
    19. Farooq, Omar & Ahmed, Neveen, 2019. "Dividend policy and political uncertainty: Evidence from the US presidential elections," Research in International Business and Finance, Elsevier, vol. 48(C), pages 201-209.
    20. Chien‐Chiang Lee & Chi‐Chuan Lee & Donald Lien, 2019. "Do country risk and financial uncertainty matter for energy commodity futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 366-383, March.
    21. 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.
    22. Elsayed, Ahmed H. & Yarovaya, Larisa, 2019. "Financial stress dynamics in the MENA region: Evidence from the Arab Spring," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 20-34.
    23. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    24. 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.
    25. 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.
    26. Luciana Simion & Georgiana-Loredana Schipor, 2020. "Financial Market Reactions to the Political Uncertainty. Study Case: Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1072-1080, December.
    27. 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.
    28. Makram El-Shagi, 2021. "Political Uncertainty: A High Frequency Approach," CFDS Discussion Paper Series 2021/03, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    29. 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.
    30. 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.
    31. Perico Ortiz, Daniel, 2021. "The high frequency impact of economic policy narratives on stock market uncertainty," FAU Discussion Papers in Economics 02/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    32. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    33. 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, December.

  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. Amal Aouadi & Mohamed Arouri & David Roubaud, 2018. "Information demand and stock market liquidity: International evidence," Post-Print hal-02011044, HAL.
    4. 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.
    5. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    6. Wang, Yi-Chiuan & Wu, Jyh-Lin & Lai, Yi-Hao, 2018. "New evidence on asymmetric return–volume dependence and extreme movements," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 212-227.
    7. 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.
    8. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2015. "Measuring the Liquidity Part of Volume," Post-Print hal-01632766, HAL.
    9. 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.
    10. 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.
    11. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    12. 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.
    13. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    14. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    15. H. F. Baklaci & O. Olgun & E. Can, 2011. "Noise traders: a new approach to understand the phantom of stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1035-1041.
    16. Sensoy, Ahmet & Serdengeçti, Süleyman, 2019. "Intraday volume-volatility nexus in the FX markets: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 1-12.
    17. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    18. Karaa, Rabaa & Slim, Skander & Hmaied, Dorra Mezzez, 2018. "Trading intensity and the volume-volatility relationship on the Tunis Stock Exchange," Research in International Business and Finance, Elsevier, vol. 44(C), pages 88-99.
    19. 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.
    20. 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.
    21. 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.
    22. Jinliang Li, 2016. "When noise trading fades, volatility rises," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 475-512, October.
    23. Chiang, I-Hsuan Ethan & Kirby, Chris & Nie, Ziye Zoe, 2021. "Short-term reversals, short-term momentum, and news-driven trading activity," Journal of Banking & Finance, Elsevier, vol. 125(C).
    24. Liu, Bin & Xia, XiangYang & Xiao, Wen, 2020. "Public information content and market information efficiency: A comparison between China and the U.S," China Economic Review, Elsevier, vol. 60(C).
    25. 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.
    26. 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.
    3. Pitkäjärvi, Aleksi & Suominen, Matti & Vaittinen, Lauri, 2020. "Cross-asset signals and time series momentum," Journal of Financial Economics, Elsevier, vol. 136(1), pages 63-85.

  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. Benjamin Hippert & André Uhde & Sascha Tobias Wengerek, 2019. "Portfolio benefits of adding corporate credit default swap indices: evidence from North America and Europe," Review of Derivatives Research, Springer, vol. 22(2), pages 203-259, July.
    2. Haidong Cai & Shamim Ahmed & Ying Jiang & Xiaoquan Liu, 2020. "The impact of US macroeconomic news announcements on Chinese commodity futures," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 1927-1966, December.
    3. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    4. 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.
    5. 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.
    6. Tobias E Anheluk & Pradosh Simlai, 2011. "Information spillovers between size and value premium in average stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 12(6), pages 395-406, December.
    7. 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.
    8. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    9. Yang Hou & Steven Li & Fenghua Wen, 2021. "Time-varying information share and autoregressive loading factors: evidence from S&P 500 cash and E-mini futures markets," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 91-110, July.
    10. Chao Liang & Yu Wei & Yaojie Zhang, 2020. "Is implied volatility more informative for forecasting realized volatility: An international perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1253-1276, December.
    11. 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.
    12. Çelik, Sibel & Ergin, Hüseyin, 2014. "Volatility forecasting using high frequency data: Evidence from stock markets," Economic Modelling, Elsevier, vol. 36(C), pages 176-190.
    13. Roland Füss & Ferdinand Mager & Michael Stein & Lu Zhao, 2018. "Financial crises, price discovery, and information transmission: a high-frequency perspective," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(4), pages 333-365, November.
    14. Konstantinos Tsiaras, 2020. "Contagion in Futures Metal Markets during the Recent Global Financial Crisis: Evidence from Gold, Silver, Copper, Zinc and Aluminium," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(3-4), pages 42-55, July-Dece.
    15. 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.
    16. 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.
    17. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    18. Young‐Rae Song & Yong‐Jun Yang & Hyung‐Sik Oh, 2009. "Interaction between Foreign and Domestic Investors in the Korean Stock and Futures Markets," Asian Economic Journal, East Asian Economic Association, vol. 23(2), pages 249-267, June.
    19. 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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