Binh Do

Personal Details

First Name:	Binh
Middle Name:
Last Name:	Do
Suffix:
RePEc Short-ID:	pdo382
	[This author has chosen not to make the email address public]

Affiliation

Department of Banking and Finance
Monash Business School
Monash University

Caulfield, Australia
http://business.monash.edu/banking-and-finance
RePEc:edi:dfmonau (more details at EDIRC)

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. Tian, Xiao & Do, Binh & Duong, Huu Nhan & Kalev, Petko S., 2015. "Liquidity provision and informed trading by individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 143-162.

   Cited by:

   1. Duong, Huu Nhan & Lajbcygier, Paul & Lu, Jerry Shuai & Vu, Van Hoang, 2018. "The effect of anonymity on price efficiency: Evidence from the removal of broker identities," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 95-107.
   2. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
   3. Zhijuan Chen & William T. Lin & Changfeng Ma & Kent Wang, 2020. "Are individual investors liquidity providers around earnings announcements? Evidence from an emerging market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3447-3475, December.
   4. Lim, Kian-Ping & Thian, Tze-Chung & Hooy, Chee-Wooi, 2015. "Corporate Shareholdings and the Liquidity of Malaysian Stocks: Investor Heterogeneity, Trading Account Types and the Underlying Channels," MPRA Paper 67602, University Library of Munich, Germany.
   5. Duong, Huu Nhan & Lajbcygier, Paul & Vu, Van Hoang, 2017. "The information content of special orders," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 68-81.
   6. Lim, Kian-Ping & Thian, Tze-Chung & Hooy, Chee-Wooi, 2017. "Investor heterogeneity, trading account types and competing liquidity channels for Malaysian stocks," Research in International Business and Finance, Elsevier, vol. 41(C), pages 220-234.
   7. 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).
   8. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
   9. Yi Luo & Steven E. Salterio, 2022. "The Effect of Gender on Investors’ Judgments and Decision-Making," Journal of Business Ethics, Springer, vol. 179(1), pages 237-258, August.
   10. Paula A. Yepes-Henao & Diego A. Agudelo & Ramazan Gencay, 2018. "Muddying the waters: Who Induces Volatility in an Emerging Market?," Documentos de Trabajo de Valor Público 16974, Universidad EAFIT.
   11. Chiah, Mardy & Tian, Xiao & Zhong, Angel, 2022. "Lockdown and retail trading in the equity market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
   12. Balachandran, Balasingham & Faff, Robert, 2015. "Corporate governance, firm value and risk: Past, present, and future," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 1-12.
   13. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar, 2017. "Dynamic herding analysis in a frontier market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 496-508.

2. Binh Do & Viet Do & Daniel Chai, 2012. "Does the 2008 short sale ban affect the enforcement of the Law of One Price? Evidence from Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 117-144, March.

   Cited by:

   1. Khan, Mostafa Saidur Rahim & Kato, Hideaki Kiyoshi & Bremer, Marc, 2019. "Short sales constraints and stock returns: How do the regulations fare?," Journal of the Japanese and International Economies, Elsevier, vol. 54(C).
   2. Uwe Helmes & Julia Henker & Thomas Henker & Tom Smith, 2017. "Effect of the ban on short selling on market prices and volatility," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 727-757, September.
   3. Adrian D. Lee & Shan Choy, 2014. "Contracts for dummies? The performance of investors in contracts for difference," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 965-997, September.
   4. Galariotis, Emilios & Li, Bob & Chai, Daniel, 2019. "Down but not out: Plenty of returns available for shorted down stocks," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 296-306.
   5. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
   6. Godfrey, Keith R.L., 2016. "Detecting the great short squeeze on Volkswagen," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 323-334.
   7. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.
   8. Angel Zhong, 2022. "Institutional trading in stock market anomalies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 893-930, March.
   9. Millicent Chang & Andrew B. Jackson & Marvin Wee, 2018. "A review of research on regulation changes in the Asia‐Pacific region," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 635-667, September.

3. Binh Do & Robert Faff, 2012. "Are Pairs Trading Profits Robust To Trading Costs?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(2), pages 261-287, June.

   Cited by:

   1. Weiguang Han & Boyi Zhang & Qianqian Xie & Min Peng & Yanzhao Lai & Jimin Huang, 2023. "Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning," Papers 2301.10724, arXiv.org, revised Feb 2023.
   2. Boming Ning & Prakash Chakraborty & Kiseop Lee, 2023. "Optimal Entry and Exit with Signature in Statistical Arbitrage," Papers 2309.16008, arXiv.org, revised Mar 2024.
   3. Hain, Martin & Hess, Julian & Uhrig-Homburg, Marliese, 2018. "Relative value arbitrage in European commodity markets," Energy Economics, Elsevier, vol. 69(C), pages 140-154.
   4. Endres, Sylvia & Stübinger, Johannes, 2017. "Optimal trading strategies for Lévy-driven Ornstein-Uhlenbeck processes," FAU Discussion Papers in Economics 17/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   5. Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2020. "Does sophistication of the weighting scheme enhance the performance of long-short commodity portfolios?," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 164-180.
      • Hossein Rad & Rand Low & Joelle Miffre & Robert Faff, 2020. "Does sophistication of the weighting scheme enhance the performance of long-short commodity portfolios?," Post-Print hal-02868473, HAL.
   6. Viviana Fanelli & Claudio Fontana & Francesco Rotondi, 2023. "A hidden Markov model for statistical arbitrage in international crude oil futures markets," Papers 2309.00875, arXiv.org, revised Sep 2024.
   7. Andreas Mikkelsen & Frode Kj rland, 2018. "High-frequency Pairs Trading on a Small Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 78-88.
   8. Khizar Qureshi & Tauhid Zaman, 2024. "Pairs Trading Using a Novel Graphical Matching Approach," Papers 2403.07998, arXiv.org.
   9. Krauss, Christopher & Stübinger, Johannes, 2015. "Nonlinear dependence modeling with bivariate copulas: Statistical arbitrage pairs trading on the S&P 100," FAU Discussion Papers in Economics 15/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   10. Johannes Stübinger & Lucas Schneider, 2019. "Statistical Arbitrage with Mean-Reverting Overnight Price Gaps on High-Frequency Data of the S&P 500," JRFM, MDPI, vol. 12(2), pages 1-19, April.
   11. Muhammad Asif Khan & Masood Ahmed & József Popp & Judit Oláh, 2020. "US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling," Mathematics, MDPI, vol. 8(11), pages 1-20, November.
   12. Flori, Andrea & Regoli, Daniele, 2021. "Revealing Pairs-trading opportunities with long short-term memory networks," European Journal of Operational Research, Elsevier, vol. 295(2), pages 772-791.
   13. Alexander Lipton & Marcos Lopez de Prado, 2020. "A closed-form solution for optimal mean-reverting trading strategies," Papers 2003.10502, arXiv.org.
   14. Lei, Yaoting & Xu, Jing, 2015. "Costly arbitrage through pairs trading," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 1-19.
   15. Clegg, Matthew & Krauss, Christopher, 2016. "Pairs trading with partial cointegration," FAU Discussion Papers in Economics 05/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   16. Geetu Aggarwal & Navdeep Aggarwal, 2021. "Risk-adjusted Returns from Statistical Arbitrage Opportunities in Indian Stock Futures Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 79-99, March.
   17. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
   18. Atul Deshpande & B. Ross Barmish, 2016. "A General Framework for Pairs Trading with a Control-Theoretic Point of View," Papers 1608.03636, arXiv.org.
   19. Marianna Brunetti & Roberta De Luca, 2020. "Pre-selection in Cointegration-based Pairs Trading," CEIS Research Paper 500, Tor Vergata University, CEIS, revised 10 Mar 2021.
       • Marianna Brunetti & Roberta De Luca, 2023. "Pre-selection in cointegration-based pairs trading," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1611-1640, December.
       • Marianna Brunetti & Roberta de Luca, 2022. "Pre-selection in cointegration-based pairs trading," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0089, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
   20. Krauss, Christopher & Krüger, Tom & Beerstecher, Daniel, 2015. "The Piotroski F-Score: A fundamental value strategy revisited from an investor's perspective," FAU Discussion Papers in Economics 13/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   21. Baiquan Ma & Robert Ślepaczuk, 2022. "The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods," Working Papers 2022-02, Faculty of Economic Sciences, University of Warsaw.
   22. Quinn, Barry & Hanna, Alan & MacDonald, Fred, 2018. "Picking up the pennies in front of the bulldozer: The profitability of gilt based trading strategies," Finance Research Letters, Elsevier, vol. 27(C), pages 214-222.
   23. Binh Do & Robert Faff, 2021. "Pairs trading and idiosyncratic cash flow risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3171-3206, June.
   24. Estefanía Montoya-Cruz & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Ángel Sánchez-Granero, 2020. "Exploring Arbitrage Strategies in Corporate Social Responsibility Companies," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
   25. Sabino da Silva, Fernando A.B. & Ziegelmann, Flavio A. & Caldeira, João F., 2023. "A pairs trading strategy based on mixed copulas," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 16-34.
   26. Tim Leung & Kevin W. Lu, 2023. "Monte Carlo Simulation for Trading Under a L\'evy-Driven Mean-Reverting Framework," Papers 2309.05512, arXiv.org, revised Jan 2024.
   27. Erhard Reschenhofer & Manveer Kaur Mangat & Christian Zwatz & Sándor Guzmics, 2020. "Evaluation of current research on stock return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 334-351, March.
   28. Boming Ning & Kiseop Lee, 2024. "Advanced Statistical Arbitrage with Reinforcement Learning," Papers 2403.12180, arXiv.org.
   29. Jacobs, Heiko & Weber, Martin, 2015. "On the determinants of pairs trading profitability," Journal of Financial Markets, Elsevier, vol. 23(C), pages 75-97.
   30. Erhard Reschenhofer, 2017. "Using Ratios of Successive Returns for the Estimation of Serial Correlation in Return Series," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 2(9), pages 125-130, September.
   31. Miroslav Fil, 2020. "Gold Standard Pairs Trading Rules: Are They Valid?," Papers 2010.01157, arXiv.org.
   32. Karen Balladares & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Angel Sánchez-Granero, 2021. "Statistical Arbitrage in Emerging Markets: A Global Test of Efficiency," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
   33. Johannes St binger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.
   34. Lucas Schneider & Johannes Stübinger, 2020. "Dispersion Trading Based on the Explanatory Power of S&P 500 Stock Returns," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
   35. Krauss, Christopher & Beerstecher, Daniel & Krüger, Tom, 2015. "Feasible earnings momentum in the U.S. stock market: An investor's perspective," FAU Discussion Papers in Economics 12/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   36. Laila Taskeen Qazi & Atta Ur Rahman & Saleem Gul, 2015. "Which Pairs of Stocks should we Trade? Selection of Pairs for Statistical Arbitrage and Pairs Trading in Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(3), pages 215-244.
   37. Sánchez-Granero, M.A. & Balladares, K.A. & Ramos-Requena, J.P. & Trinidad-Segovia, J.E., 2020. "Testing the efficient market hypothesis in Latin American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
   38. Sant’Anna, Leonardo Riegel & Caldeira, João Frois & Filomena, Tiago Pascoal, 2020. "Lasso-based index tracking and statistical arbitrage long-short strategies," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
   39. Ramos-Requena, J.P. & Trinidad-Segovia, J.E. & Sánchez-Granero, M.A., 2017. "Introducing Hurst exponent in pair trading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 39-45.
   40. Danni Chen & Jing Cui & Yan Gao & Leilei Wu, 2017. "Pairs trading in Chinese commodity futures markets: an adaptive cointegration approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1237-1264, December.
   41. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   42. Marianna Brunetti & Roberta De Luca, 2022. "Sensitivity of Profitability in Cointegration-Based Pairs Trading," CEIS Research Paper 540, Tor Vergata University, CEIS, revised 11 Apr 2022.
       • Marianna Brunetti & Roberta de Luca, 2022. "Sensitivity of profitability in cointegration-based pairs trading," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0090, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
   43. Du, Lilun & Lan, Wei & Luo, Ronghua & Zhong, Pingshou, 2018. "Factor-adjusted multiple testing of correlations," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 34-47.
   44. Stübinger, Johannes, 2018. "Statistical arbitrage with optimal causal paths on high-frequencydata of the S&P 500," FAU Discussion Papers in Economics 01/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   45. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   46. Ahmet Göncü & Erdinç Akyıldırım, 2016. "Statistical Arbitrage with Pairs Trading," International Review of Finance, International Review of Finance Ltd., vol. 16(2), pages 307-319, June.
   47. Vladim'ir Hol'y & Petra Tomanov'a, 2018. "Estimation of Ornstein-Uhlenbeck Process Using Ultra-High-Frequency Data with Application to Intraday Pairs Trading Strategy," Papers 1811.09312, arXiv.org, revised Jul 2022.
   48. Broman, Markus S., 2020. "Local demand shocks, excess comovement and return predictability," Journal of Banking & Finance, Elsevier, vol. 119(C).
   49. R. Todd Smith & Xun Xu, 2017. "A good pair: alternative pairs-trading strategies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(1), pages 1-26, February.
   50. GholamReza Keshavarz Haddad & Hassan Talebi, 2023. "The profitability of pair trading strategy in stock markets: Evidence from Toronto stock exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 193-207, January.
   51. Bruno Breyer Caldas & João Frois Caldeira & Guilherme Vale Moura, 2016. "Is Pairs Trading Performance Sensitive To The Methodologies?: A Comparison," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 130, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
   52. Fernando Caneo & Werner Kristjanpoller, 2021. "Improving statistical arbitrage investment strategy: Evidence from Latin American stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4424-4440, July.

4. Binh Huu Do & Robert W. Faff, 2004. "Do futures‐based strategies enhance dynamic portfolio insurance?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(6), pages 591-608, June.

   Cited by:

   1. Huai-I. Lee & Min-Hsien Chiang & Hsinan Hsu, 2008. "A new choice of dynamic asset management: the variable proportion portfolio insurance," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2135-2146.
   2. Zhang, Tao & Zhou, Hongfeng & Li, Larry & Gu, Feng, 2015. "Optimal rebalance rules for the constant proportion portfolio insurance strategy – Evidence from China," Economic Systems, Elsevier, vol. 39(3), pages 413-422.
   3. Lan-chih Ho & John Cadle & Michael Theobald, 2022. "Portfolio Insurance Strategies," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 62, pages 1437-1465, Springer.
   4. Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
   5. Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2017. "A bootstrap-based comparison of portfolio insurance strategies," The European Journal of Finance, Taylor & Francis Journals, vol. 23(1), pages 31-59, January.
   6. Hammadi Zouari, 2022. "On the Effectiveness of Stock Index Futures for Tail Risk Protection," International Journal of Economics and Financial Issues, Econjournals, vol. 12(3), pages 38-52, May.

5. Binh Huu Do, 2002. "Relative performance of dynamic portfolio insurance strategies: Australian evidence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 42(3), pages 279-296, November.

   Cited by:

   1. Michael O'Neill & Gulasekaran Rajaguru, 2020. "A response surface analysis of critical values for the lead‐lag ratio with application to high frequency and non‐synchronous financial data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3979-3990, December.
   2. Samuel Kyle Jones & Joe Bert Stine, 2010. "Expected utility and the non-normal returns of common portfolio rebalancing strategies," Journal of Asset Management, Palgrave Macmillan, vol. 10(6), pages 406-419, February.
   3. Agic-Sabeta, Elma, 2017. "Portfolio Insurance Investment Strategies: A Risk-Management Tool," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 8(2), pages 91-104.
   4. Weng, Chengguo, 2013. "Constant proportion portfolio insurance under a regime switching exponential Lévy process," Insurance: Mathematics and Economics, Elsevier, vol. 52(3), pages 508-521.
   5. Lan-chih Ho & John Cadle & Michael Theobald, 2022. "Portfolio Insurance Strategies," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 62, pages 1437-1465, Springer.
   6. Sami Attaoui & Vincent Lacoste, 2013. "A scenario-based description of optimal American capital guaranteed strategies," Finance, Presses universitaires de Grenoble, vol. 34(2), pages 65-119.
      • Sami Attaoui & Vincent Lacoste, 2013. "A scenario-based description of optimal American capital guaranteed strategies," Post-Print hal-00867667, HAL.
   7. Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
   8. Raquel M. Gaspar & Paulo M. Silva, 2023. "Investors’ perspective on portfolio insurance," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 49-79, January.
   9. Michael J O’Neill & Zhangxin (Frank) Liu, 2016. "Tail risk hedging for mutual funds using equity market state prices," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 687-698, November.
   10. Zhangxin (Frank) Liu & Michael J. O'Neill & Tom Smith, 2017. "State-preference pricing and volatility indices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 815-836, September.
   11. Richard Heaney & Terry Hallahan & Thomas Josev & Heather Mitchell, 2007. "Time-Changing Alpha? The Case of Australian International Mutual Funds," Australian Journal of Management, Australian School of Business, vol. 32(1), pages 95-112, June.
   12. Balder, Sven & Brandl, Michael & Mahayni, Antje, 2009. "Effectiveness of CPPI strategies under discrete-time trading," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 204-220, January.
   13. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
   14. Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2017. "A bootstrap-based comparison of portfolio insurance strategies," The European Journal of Finance, Taylor & Francis Journals, vol. 23(1), pages 31-59, January.
   15. Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2009. "The effectiveness of the VaR-based portfolio insurance strategy: An empirical analysis," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 185-197, September.
   16. Zhangxin (Frank) Liu & Michael J. O'Neill, 2018. "Partial moment volatility indices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(1), pages 195-215, March.

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