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Woon K. Wong

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. Woon K. Wong, 2018. "TThe Discount Rate Debate and Its Implications for Defined Benefit Pensions," Cardiff Economics Working Papers E2018/12, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Bahman Rostami-Tabar & Mohammad M Ali & Tao Hong & Rob J Hyndman & Michael D Porter & Aris Syntetos, 2020. "Forecasting for Social Good," Monash Econometrics and Business Statistics Working Papers 37/20, Monash University, Department of Econometrics and Business Statistics.
    2. Jackie Grant, 2024. "The UK Universities Superannuation Scheme valuations 2014-2023: gilt yield dependence, self-sufficiency and metrics," Papers 2403.08811, arXiv.org, revised Apr 2024.

  2. Woon K. Wong & Iris Biefang-Frisancho Mariscal & Wanru Yao & Peter Howells, 2016. "Liquidity and Credit Risks in the UK s Financial Crisis: How Quantitative Easing changed the relationship," Cardiff Economics Working Papers E2016/9, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Raphaël Chiappini & Bertrand Groslambert & Olivier Bruno, 2022. "Liquidity matters when measuring bank output," Working Papers hal-03896568, HAL.

  3. Wong, Woon K, 2008. "A Unique Orthogonal Variance Decomposition," Cardiff Economics Working Papers E2008/10, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Clatworthy, Mark A & Pong, Christopher K.M. & Wong, Woon K., 2009. "Auditor Quality and the Role of Accounting Information in Explaining UK Stock Returns," Cardiff Economics Working Papers E2009/9, Cardiff University, Cardiff Business School, Economics Section, revised Oct 2011.

  4. Copeland, Laurence & Wong, Woon K & Zeng, Y, 2008. "Information-Based Trade in the Shanghai StockMarket," Cardiff Economics Working Papers E2008/2, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Guobin Fan & Eric Girardin & Wong K. Wong & Yong Zeng, 2015. "The Risk of Individual Stocks’ Tail Dependence with the Market and Its Effect on Stock Returns," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-17, November.
    2. Lockwood, Jimmy & Lockwood, Larry & Miao, Hong & Ramchander, Sanjay & Yang, Dongxiao, 2022. "The information content of ETF options," Global Finance Journal, Elsevier, vol. 53(C).
    3. Kang, Moonsoo, 2010. "Probability of information-based trading and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2985-2994, December.

Articles

  1. Wong, Woon K. & Liu, Bo & Zeng, Yong, 2009. "Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange," China Economic Review, Elsevier, vol. 20(1), pages 91-102, March.

    Cited by:

    1. Yan, Isabel K. & Chong, Terence & Lam, Tau-Hing, 2011. "Is the Chinese Stock Market Really Efficient," MPRA Paper 35219, University Library of Munich, Germany.
    2. Xiao, Yuewen & Zheng, Xinwei & Wang, Chengsi, 2024. "Price limit hits in the Chinese fund market: Determinants and post-hit performance," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 70-82.
    3. Halim Dabbou & Ahmed Silem, 2014. "Price limit and financial contagion: protection or illusion? The tunisian stock exchange case," Post-Print hal-00925424, HAL.
    4. Imtiaz Mohammad Sifat & Azhar Mohamad, 2019. "Circuit breakers as market stability levers: A survey of research, praxis, and challenges," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1130-1169, July.
    5. Wang, Steven Shuye & Xu, Kuan & Zhang, Hao, 2019. "A microstructure study of circuit breakers in the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    6. Yu-Lei Wan & Wen-Jie Xie & Gao-Feng Gu & Zhi-Qiang Jiang & Wei Chen & Xiong Xiong & Wei Zhang & Wei-Xing Zhou, 2015. "Statistical Properties and Pre-hit Dynamics of Price Limit Hits in the Chinese Stock Markets," Papers 1503.03548, arXiv.org.
    7. Zhihong Jian & Zhican Zhu & Jie Zhou & Shuai Wu, 2018. "The Magnet Effect of Circuit Breakers: A role of price jumps and market liquidity," Departmental Working Papers 2018-01, The University of Winnipeg, Department of Economics.
    8. Halim DABBOU & Ahmed SILEM, 2014. "Price Limit and Financial Contagion: Protection or Illusion? The Tunisian Stock Exchange Case," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 54-70.
    9. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    10. Wong, Kin Ming & Kong, Xiao Wei & Li, Min, 2020. "The magnet effect of circuit breakers and its interactions with price limits," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    11. Darby, Julia & Zhang, Hai & Zhang, Jinkai, 2021. "Institutional trading in volatile markets: Evidence from Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    12. Zhuwei Li & Xuejiao Lu & Yuan Fu, 2022. "Interaction influence of trading rules on the quality of stock markets: the price limit rule and day trading rule from the Shanghai and Shenzhen Stock exchanges," Applied Economics, Taylor & Francis Journals, vol. 54(56), pages 6467-6479, December.
    13. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2020. "A survey on the magnet effect of circuit breakers in financial markets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 138-151.
    14. Jian, Zhihong & Zhu, Zhican & Zhou, Jie & Wu, Shuai, 2020. "Intraday price jumps, market liquidity, and the magnet effect of circuit breakers," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 168-186.
    15. Peng‐Fei Dai & John W. Goodell & Luu Duc Toan Huynh & Zhifeng Liu & Shaen Corbet, 2023. "Understanding the transmission of crash risk between cryptocurrency and equity markets," The Financial Review, Eastern Finance Association, vol. 58(3), pages 539-573, August.
    16. Li, Huimin & Zheng, Dazhi & Chen, Jun, 2014. "Effectiveness, cause and impact of price limit—Evidence from China's cross-listed stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 217-241.
    17. Wu, Ting & Wang, Yue & Li, Ming-Xia, 2017. "Post-hit dynamics of price limit hits in the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 464-471.
    18. 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.
    19. Kenneth A. Kim & Haixiao Liu & J. Jimmy Yang, 2013. "Reconsidering Price Limit Effectiveness," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(4), pages 493-518, December.
    20. Li, Xindan & Geng, Ziyang & Subrahmanyam, Avanidhar & Yu, Honghai, 2017. "Do wealthy investors have an informational advantage? Evidence based on account classifications of individual investors," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 1-18.

  2. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.

    Cited by:

    1. Priyanka Naik & B G Poornima & Y V Reddy, 2020. "Measuring liquidity in Indian stock market: A dimensional perspective," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    2. 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.
    3. Hao Li & Zhisheng Li, 2022. "The effect of daily price limits on stock liquidity: Evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4885-4917, December.
    4. Wongchoti, Udomsak & Wu, Fei & Young, Martin, 2009. "Buy and sell dynamics following high market returns: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 12-20, March.
    5. Mai, Nhat Chi, 2020. "Essays on the Vietnam Stock Market," OSF Preprints 3uaqt, Center for Open Science.
    6. Rodrigues, Bruno Dore & Souza, Reinaldo Castro & Stevenson, Maxwell J., 2012. "An analysis of intraday market behaviour before takeover announcements," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 23-32.

  3. Wong, Woon K. & Tu, Anthony H., 2009. "Market imperfections and the information content of implied and realized volatility," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 58-79, January.

    Cited by:

    1. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    2. Imlak Shaikh & Puja Padhi, 2013. "On the Linkages among Ex-ante and Ex-post Volatility: Evidence from NSE Options Market (India)," Global Business Review, International Management Institute, vol. 14(3), pages 487-505, September.
    3. Puja Padhi & Imlak Shaikh, 2014. "On the relationship of implied, realized and historical volatility: evidence from NSE equity index options," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(5), pages 915-934, November.
    4. Jun-Biao Lin, 2015. "Hedging Strategy Comparisons Of Volatility Index Options Using Diffusion Models," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(3), pages 59-69.

  4. Wong, Woon K. & Chang, Matthew C. & Tu, Anthony H., 2009. "Are magnet effects caused by uninformed traders? Evidence from Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 28-40, January.

    Cited by:

    1. Zhang, Xiaotao & Li, Xinxian & Hao, Jing & Li, Peigong, 2023. "Price limit change and magnet effect: The role of investor attention," Finance Research Letters, Elsevier, vol. 53(C).
    2. Mudalige, Priyantha & Duong, Huu Nhan & Kalev, Petko S. & Gupta, Kartick, 2020. "Who trades in competing firms around earnings announcements," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    3. Imtiaz Mohammad Sifat & Azhar Mohamad, 2019. "Circuit breakers as market stability levers: A survey of research, praxis, and challenges," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1130-1169, July.
    4. Ya-Kai Chang & Che-Jui Chang, 2021. "The Magnet Effect Under Relaxed Daily Price Limits: Evidence From Taiwan," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 15(1), pages 33-44.
    5. Wang, Steven Shuye & Xu, Kuan & Zhang, Hao, 2019. "A microstructure study of circuit breakers in the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    6. Hsieh, Ping-Hung & Kim, Yong H. & Yang, J. Jimmy, 2009. "The magnet effect of price limits: A logit approach," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 830-837, December.
    7. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2018. "Trading aggression when price limit hits are imminent: NARDL based intraday investigation of magnet effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 1-8.
    8. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2020. "A survey on the magnet effect of circuit breakers in financial markets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 138-151.
    9. Li, Huimin & Zheng, Dazhi & Chen, Jun, 2014. "Effectiveness, cause and impact of price limit—Evidence from China's cross-listed stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 217-241.
    10. Wong, Woon K. & Liu, Bo & Zeng, Yong, 2009. "Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange," China Economic Review, Elsevier, vol. 20(1), pages 91-102, March.
    11. Wong, Woon K. & Tu, Anthony H., 2009. "Market imperfections and the information content of implied and realized volatility," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 58-79, January.
    12. Chun-I Lee & Robin K. Chou & Edward S. Hsieh & Kimberly Gleason, 2012. "The role of institutions in price correction: evidence from intraday noise trading in Taiwan," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2009-2025, December.
    13. Shiu, Yih-Wen & Lee, Chun I. & Gleason, Kimberly C., 2014. "Institutional shareholdings and the January effects in Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 27(C), pages 49-66.

  5. Wong, Woon K., 2008. "Backtesting trading risk of commercial banks using expected shortfall," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1404-1415, July.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Rizwan, Muhammad Suhail, 2021. "Macroprudential regulations and systemic risk: Does the one-size-fits-all approach work?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    3. Juan Carlos Escanciano & Zaichao Du, 2015. "Backtesting Expected Shortfall: Accounting for Tail Risk," CAEPR Working Papers 2015-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
    5. Chen, Qian & Gerlach, Richard H., 2013. "The two-sided Weibull distribution and forecasting financial tail risk," International Journal of Forecasting, Elsevier, vol. 29(4), pages 527-540.
    6. Sander Barendse & Erik Kole & Dick van Dijk, 2023. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 528-568.
    7. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    8. Sebastian Bayer & Timo Dimitriadis, 2018. "Regression Based Expected Shortfall Backtesting," Papers 1801.04112, arXiv.org, revised Sep 2019.
    9. Lönnbark, Carl, 2013. "On the role of the estimation error in prediction of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 847-853.
    10. Wong, Woon K & Copeland, Laurence, 2008. "Risk Measurement and Management in a Crisis-Prone World," Cardiff Economics Working Papers E2008/14, Cardiff University, Cardiff Business School, Economics Section.
    11. Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
    12. Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
    13. Ophélie Couperier & Jérémy Leymarie, 2020. "Backtesting Expected Shortfall via Multi-Quantile Regression," Working Papers halshs-01909375, HAL.
    14. Ćehajić, Aida & Košak, Marko, 2021. "Macroprudential measures and developments in bank funding costs," International Review of Financial Analysis, Elsevier, vol. 78(C).
    15. Alfonso Novales & Laura Garcia-Jorcano, 2019. "Backtesting Extreme Value Theory models of expected shortfall," Documentos de Trabajo del ICAE 2019-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. Gregor Weiß, 2013. "Copula-GARCH versus dynamic conditional correlation: an empirical study on VaR and ES forecasting accuracy," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 179-202, August.
    17. Weiß, Gregor N.F., 2011. "Are Copula-GoF-tests of any practical use? Empirical evidence for stocks, commodities and FX futures," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 173-188, May.
    18. Santiago Carrillo Menéndez & Bertrand Kian Hassani, 2021. "Expected Shortfall Reliability—Added Value of Traditional Statistics and Advanced Artificial Intelligence for Market Risk Measurement Purposes," Mathematics, MDPI, vol. 9(17), pages 1-20, September.
    19. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
    20. Mansur, Alfan, 2018. "Measuring Systemic Risk on Indonesia’s Banking System," MPRA Paper 93300, University Library of Munich, Germany, revised 12 Apr 2018.
    21. Felix Moldenhauer & Marcin Pitera, 2017. "Backtesting Expected Shortfall: a simple recipe?," Papers 1709.01337, arXiv.org, revised Aug 2018.
    22. Sabiwalsky, Ralf, 2012. "Does Basel II pillar 3 risk exposure data help to identify risky banks?," SFB 649 Discussion Papers 2012-008, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    23. Giancarlo Salirrosas Mart'inez, 2016. "Biased Roulette Wheel: A Quantitative Trading Strategy Approach," Papers 1609.09601, arXiv.org.
    24. Chen, Qian & Gerlach, Richard & Lu, Zudi, 2012. "Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3498-3516.
    25. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    26. Siburg, Karl Friedrich & Stoimenov, Pavel & Weiß, Gregor N.F., 2015. "Forecasting portfolio-Value-at-Risk with nonparametric lower tail dependence estimates," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 129-140.
    27. D. Th. Vezeris & C. J. Schinas & Th. S. Kyrgos & V. A. Bizergianidou & I. P. Karkanis, 2020. "Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 975-1054, December.
    28. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    29. Sebastian Bayer & Timo Dimitriadis, 2022. "Regression-Based Expected Shortfall Backtesting [Backtesting Expected Shortfall]," Journal of Financial Econometrics, Oxford University Press, vol. 20(3), pages 437-471.
    30. Spring, Konstantin, 2021. "Backtesting the Expected Shortfall," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 590-636.
    31. Richard Gerlach & Declan Walpole & Chao Wang, 2017. "Semi-parametric Bayesian tail risk forecasting incorporating realized measures of volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 199-215, February.

  6. A. Abhyankar & L. S. Copeland & W. Wong, 1999. "LIFFE cycles: intraday evidence from the FTSE-100 Stock Index futures market," The European Journal of Finance, Taylor & Francis Journals, vol. 5(2), pages 123-139.

    Cited by:

    1. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    2. Garrett Ian & Taylor Nicholas, 2001. "Intraday and Interday Basis Dynamics: Evidence from the FTSE 100 Index Futures Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(2), pages 1-22, July.
    3. David McMillan & Alan Speight, 2005. "Long-memory and heterogeneous components in high frequency Pacific-Basin exchange rate volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 199-226, September.
    4. John Board & Charles Sutcliffe & Stephen Wells, 2002. "Transparency and Fragmentation," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-4039-0707-3, October.

  7. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.

    Cited by:

    1. William Barnett & Apostolos Serletis & Demitre Serletis, 2012. "Nonlinear and Complex Dynamics in Economics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201238, University of Kansas, Department of Economics, revised Sep 2012.
    2. Onour, Ibrahim, 2009. "Financial Integration of North Africa Stock Markets," MPRA Paper 14938, University Library of Munich, Germany.
    3. Samir Saadi & Devinder Gandhi & Khaled Elmawazini, 2006. "On the validity of conventional statistical tests given evidence of non-synchronous trading and non-linear dynamics in returns generating process," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 301-305.
    4. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    5. Kian-Ping Lim & M. Azali & M.S. Habibullah & Venus Khim-Sen Liew, 2003. "Are Non-Linear Dynamics a Universal Occurrence? Further Evidence From Asian Stock Markets," Finance 0308001, University Library of Munich, Germany.
    6. Bunyamin Demir & Nesrin Alptekin & Yilmaz Kilicaslan & Mehmet Ergen & Nilgun Caglairmak Uslu, 2015. "Forecasting Agricultural Production: A Chaotic Dynamic Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 1(1), pages 65-80, June.
    7. William Barnett & Apostolos Serletis, 2012. "Martingales, Nonlinearity, And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201225, University of Kansas, Department of Economics, revised Sep 2012.
    8. Szpiro, George G., 1998. "Tick size, the compass rose and market nanostructure," Journal of Banking & Finance, Elsevier, vol. 22(12), pages 1559-1569, December.
    9. Borusyak, K., 2011. "Nonlinear Dynamics of the Russian Stock Market in Problems of Risk Management," Journal of the New Economic Association, New Economic Association, issue 11, pages 85-105.
    10. Andrew Phiri, 2015. "Efficient Market Hypothesis in South Africa: Evidence from Linear and Nonlinear Unit Root Tests," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(4 (Winter), pages 369-387.
    11. Kian-Ping Lim & Hock-Ann Lee & Venus Khim-Sen Liew, 2003. "International Diversification Benefits in ASEAN Stock Markets: a Revisit," Finance 0308003, University Library of Munich, Germany.
    12. Stelios Bekiros & Dimitris Georgoutsos, 2008. "Non-linear dynamics in financial asset returns: the predictive power of the CBOE volatility index," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 397-408.
    13. Van Heerden, Dorathea & Rodrigues, Jose & Hockly, Dale & Lambert, Bongani & Taljard, Tjaart & Phiri, Andrew, 2013. "Efficient Market Hypothesis in South Africa: Evidence from a threshold autoregressive (TAR) model," MPRA Paper 50544, University Library of Munich, Germany.
    14. Ritesh Kumar Mishra & Sanjay Sehgal & N.R. Bhanumurthy, 2011. "A search for long‐range dependence and chaotic structure in Indian stock market," Review of Financial Economics, John Wiley & Sons, vol. 20(2), pages 96-104, May.
    15. Rahman, Abdul & Saadi, Samir, 2008. "Random walk and breaking trend in financial series: An econometric critique of unit root tests," Review of Financial Economics, Elsevier, vol. 17(3), pages 204-212, August.
    16. Shintani, Mototsugu, 2008. "A dynamic factor approach to nonlinear stability analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2788-2808, September.
    17. Jorge Belaire-Franch & Kwaku Opong, 2013. "A Time Series Analysis of U.K. Construction and Real Estate Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 516-542, April.
    18. Elena Olmedo & Ricardo Gimeno & Lorenzo Escot & Ruth Mateos, 2007. "Convergencia y Estabilidad de los Tipos de Cambio Europeos: Una Aplicación de Exponentes de Lyapunov," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 44(129), pages 91-108.
    19. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    20. Oliver Linton & Mototsugu Shintani, 2001. "Is There Chaos in the World Economy? A Nonparametric Test Using Consistent Standard Errors," FMG Discussion Papers dp383, Financial Markets Group.
    21. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.
    22. Robles-Fernandez M. Dolores & Nieto Luisa & Fernandez M. Angeles, 2004. "Nonlinear Intraday Dynamics in Eurostoxx50 Index Markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-28, December.
    23. Kian-Ping Lim & Venus Khim-Sen Liew & Hock-Tsen Wong, 2003. "Weak-form Efficient Market Hypothesis, Behavioural Finance and Episodic Transient Dependencies: The Case of the Kuala Lumpur Stock Exchange," Finance 0312012, University Library of Munich, Germany.
    24. Shintani, Mototsugu & Linton, Oliver, 2002. "Nonparametric neural network estimation of Lyapunov exponents and a direct test for chaos," LSE Research Online Documents on Economics 2093, London School of Economics and Political Science, LSE Library.
    25. Chakradhara Panda & V. Narasimhan, 2006. "Predicting Stock Returns," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 7(2), pages 205-218, September.
    26. N Aslanidis & D R Osborn & M Sensier, 2003. "Explaining Movements in UK Stock Prices: How Important is the US Market?," Economics Discussion Paper Series 0305, Economics, The University of Manchester.
    27. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    28. Jorge Belaire-Franch & Kwaku Opong, 2005. "A Variance Ratio Test of the Behaviour of Some FTSE Equity Indices Using Ranks and Signs," Review of Quantitative Finance and Accounting, Springer, vol. 24(1), pages 93-107, January.
    29. Oliver Moritz, 2001. "Is the German Stock Market Chaotic ? Some NEGM- and BDS-test results for the DAX," CeNDEF Workshop Papers, January 2001 3A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    30. Nektarios Aslanidis & Denise Osborn & Marianne Sensier, 2003. "Explaining movements in UK stock prices:," Working Papers 0302, University of Crete, Department of Economics.
    31. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    32. Juwon Seo, 2018. "Randomization Tests for Equality in Dependence Structure," Papers 1811.02105, arXiv.org.
    33. S. D. Bekiros & D. A. Georgoutsos, 2008. "Direction-of-change forecasting using a volatility-based recurrent neural network," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 407-417.
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