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Hsin-Yi Lin

Personal Details

First Name:Hsin-Yi
Middle Name:
Last Name:Lin
Suffix:
RePEc Short-ID:pli649
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Affiliation

Department of Economics
National Chengchi University

Taipei, Taiwan
http://econo.nccu.edu.tw/

: 886 2 2939 0529
886 2 2938 2207
64, Chih-nan Rd.,Sec. 2, Wenshan, Taipei 11623
RePEc:edi:dencctw (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Lin, Hsin-Yi, 2009. "A Revisit of the Relation between Central Bank Independence and Inflation," MPRA Paper 30398, University Library of Munich, Germany.
  2. Chia-Chang Chuang & Chung-Ming Kuan & Hsin-yi Lin, 2007. "Causality in Quantiles and Dynamic Stock Return-Volume Relations," IEAS Working Paper : academic research 07-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan.

Articles

  1. Lin, Hsin-Yi, 2016. "Do quantitative monetary targets matter?," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 415-428.
  2. Hsin-Yi Lin, 2013. "Dynamic Stock Return–Volume Relation: Evidence From Emerging Asian Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 65(2), pages 178-193, April.
  3. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.
  4. Hsin-Yi Lin & Kuang-Ta Lo, 2012. "Tax Incentives and Charitable Contributions: the Evidence from Censored Quantile Regression," Pacific Economic Review, Wiley Blackwell, vol. 17(4), pages 535-558, October.
  5. Chen-yuan Tung & Tzu-Chuan Chou & Jih-wen Lin & Hsin-yi Lin, 2011. "Comparing The Forecasting Accuracy Of Prediction Markets And Polls For Taiwan’S Presidential And Mayoral Elections," Journal of Prediction Markets, University of Buckingham Press, vol. 5(3), pages 1-26.
  6. Hsin-Yi Lin, 2011. "A robust test for non-nested hypotheses," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 93-111, March.
  7. Kuan, Chung-Ming & Lin, Hsin-Yi, 2010. "An encompassing test for non-nested quantile regression models," Economics Letters, Elsevier, vol. 107(2), pages 257-260, May.
  8. Hsiao-Lan Liu & Hsin-Yi Lin & Shin-Kun Peng, 2010. "The spillover effects of R&D on manufacturing industry in Taiwan’s metropolitan areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 519-546, December.
  9. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.

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. Chia-Chang Chuang & Chung-Ming Kuan & Hsin-yi Lin, 2007. "Causality in Quantiles and Dynamic Stock Return-Volume Relations," IEAS Working Paper : academic research 07-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan.

    Cited by:

    1. Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012. "Stock return autocorrelations revisited: A quantile regression approach," University of Tuebingen Working Papers in Economics and Finance 24, University of Tuebingen, Faculty of Economics and Social Sciences.
    2. Broto, Carmen & Díaz-Cassou, Javier & Erce, Aitor, 2011. "Measuring and explaining the volatility of capital flows to emerging countries," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1941-1953, August.
    3. Ben Rejeb, Aymen & Arfaoui, Mongi, 2014. "Financial market interdependencies: a quantile regression analysis of volatility spillover," MPRA Paper 61516, University Library of Munich, Germany.
    4. Dirk G Baur & Thomas Dimpfl, 2012. "State-dependent Momentum in International Stock Markets," Working Paper Series 169, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," MPRA Paper 36897, University Library of Munich, Germany.
    6. Jiranyakul, Komain, 2016. "Dynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?," MPRA Paper 73791, University Library of Munich, Germany.
    7. Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
    8. Reboredo, Juan C. & Ugolini, Andrea, 2017. "Quantile causality between gold commodity and gold stock prices," Resources Policy, Elsevier, vol. 53(C), pages 56-63.
    9. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    10. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Shahzad, Syed Jawad Hussain, 2017. "Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 453-483.
    11. Ding, Haoyuan & Chong, Terence Tai-leung & Park, Sung Y., 2014. "Nonlinear dependence between stock and real estate markets in China," Economics Letters, Elsevier, vol. 124(3), pages 526-529.
    12. Naifar, Nader & Hammoudeh, Shawkat, 2016. "Do global financial distress and uncertainties impact GCC and global sukuk return dynamics?," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 57-69.
    13. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    14. Ni, Zhong-Xin & Wang, Da-Zhong & Xue, Wen-Jun, 2015. "Investor sentiment and its nonlinear effect on stock returns—New evidence from the Chinese stock market based on panel quantile regression model," Economic Modelling, Elsevier, vol. 50(C), pages 266-274.
    15. Maria Sole Pagliari & Swarnali Ahmed Hannan, 2017. "The Volatility of Capital Flows in Emerging Markets; Measures and Determinants," IMF Working Papers 17/41, International Monetary Fund.
    16. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    17. Ding, Haoyuan & Kim, Hyung-Gun & Park, Sung Y., 2014. "Do net positions in the futures market cause spot prices of crude oil?," Economic Modelling, Elsevier, vol. 41(C), pages 177-190.
    18. Effiong, Ekpeno L., 2016. "Nonlinear Dependence between Stock Prices and Exchange Rate in Nigeria," MPRA Paper 74336, University Library of Munich, Germany.
    19. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2017. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Working Papers 2017-10, University of Tasmania, Tasmanian School of Business and Economics.
    20. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    21. Siddhartha Bandyopadhyay & Samrat Bhattacharya & Rudra Sensarma, 2015. "An Analysis of the Factors Determining Crime in England and Wales: A Quantile Regression Approach," Working papers 178, Indian Institute of Management Kozhikode.
    22. Ye, Wuyi & Zhu, Yangguang & Wu, Yuehua & Miao, Baiqi, 2016. "Markov regime-switching quantile regression models and financial contagion detection," Insurance: Mathematics and Economics, Elsevier, vol. 67(C), pages 21-26.
    23. Pao-Yu Huang & Yen-Sen Ni & Chi-Min Yu, 2012. "The Microstructure of the Price-Volume Relationship of the Constituent Stocks of the Taiwan 50 Index," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 153-168, July.
    24. Yi-Ting Chen, 2016. "Testing for Granger Causality in Moments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 265-288, April.
    25. Kuan, Tsung-Han & Li, Chu-Shiu & Liu, Chwen-Chi, 2012. "Corporate governance and cash holdings: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 303-314.
    26. Ding, Haoyuan & Kim, Hyung-Gun & Park, Sung Y., 2016. "Crude oil and stock markets: Causal relationships in tails?," Energy Economics, Elsevier, vol. 59(C), pages 58-69.
    27. Gonzalo, Jesús & Taamouti, Abderrahim, 2012. "The reaction of stock market returns to anticipated unemployment," UC3M Working papers. Economics we1237, Universidad Carlos III de Madrid. Departamento de Economía.
    28. Ciner, Cetin, 2015. "Time variation in systematic risk, returns and trading volume: Evidence from precious metals mining stocks," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 277-283.
    29. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    30. 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.
    31. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    32. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Zeitun, Rami & Rehman, Mobeen Ur, 2017. "Diversification potential of Asian frontier, BRIC emerging and major developed stock markets: A wavelet-based value at risk approach," Emerging Markets Review, Elsevier, vol. 32(C), pages 130-147.
    33. 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.
    34. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable Energy, Oil Prices, and Economic Activity: A Granger-causality in Quantiles Analysis," MPRA Paper 84194, University Library of Munich, Germany, revised 19 Jan 2018.
    35. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    36. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, vol. 45(C), pages 299-306.
    37. Naifar, Nader & Mroua, Mourad & Bahloul, Slah, 2017. "Do regional and global uncertainty factors affect differently the conventional bonds and sukuk? New evidence," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 65-74.
    38. Ben Rejeb, Aymen, 2016. "Volatility Spillover between Islamic and conventional stock markets: evidence from Quantile Regression analysis," MPRA Paper 73302, University Library of Munich, Germany.
    39. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    40. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    41. Paulo Sergio Ceretta & Marcelo Brutti Righi & Alexandre Silva Da costa & Fernanda Maria Muller, 2012. "Quantiles autocorrelation in stock markets returns," Economics Bulletin, AccessEcon, vol. 32(3), pages 2065-2075.
    42. Tzu-Kuang Hsu & Chin-Chang Tsai, 2017. "Explore the Impact of the Trading Value, The Oil Price and Quantitative Easing Policy on the Taiwan and Korea Stock Market Return with Quantile Regression," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(1), pages 15-26, January.
    43. Lee, Bong Soo & Li, Ming-Yuan Leon, 2012. "Diversification and risk-adjusted performance: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2157-2173.
    44. Chen, Cathy W.S. & Gerlach, Richard & Wei, D.C.M., 2009. "Bayesian causal effects in quantiles: Accounting for heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1993-2007, April.
    45. Cathy W. S. Chen & Muyi Li & Nga T. H. Nguyen & Songsak Sriboonchitta, 2017. "On Asymmetric Market Model with Heteroskedasticity and Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 155-174, January.
    46. You, Wanhai & Guo, Yawei & Peng, Cheng, 2017. "Twitter's daily happiness sentiment and the predictability of stock returns," Finance Research Letters, Elsevier, vol. 23(C), pages 58-64.
    47. Amir Rubin & Daniel Smith, 2010. "Comparing Different Explanations of the Volatility Trend," NCER Working Paper Series 68, National Centre for Econometric Research.
    48. Ben Rejeb, Aymen, 2017. "On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 794-815.
    49. Peng, Cheng & Zhu, Huiming & Jia, Xianghua & You, Wanhai, 2017. "Stock price synchronicity to oil shocks across quantiles: Evidence from Chinese oil firms," Economic Modelling, Elsevier, vol. 61(C), pages 248-259.
    50. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2016. "A new structural stochastic volatility model of asset pricing and its stylized facts," Papers 1604.08824, arXiv.org.
    51. Yin DAI & Jing-wen ZHANG & Xiu-zhen YU & Xin LI, 2017. "Causality between economic policy uncertainty and exchange rate in China with considering quantile differences," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(612), A), pages 29-38, Autumn.
    52. Cheng, Ching-Hsue & Wei, Liang-Ying & Liu, Jing-Wei & Chen, Tai-Liang, 2013. "OWA-based ANFIS model for TAIEX forecasting," Economic Modelling, Elsevier, vol. 30(C), pages 442-448.
    53. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    54. Tan, Xue-Ping & Wang, Xin-Yu, 2017. "Dependence changes between the carbon price and its fundamentals: A quantile regression approach," Applied Energy, Elsevier, vol. 190(C), pages 306-325.
    55. Cathy W.S. Chen & Mike K.P. So & Thomas C. Chiang, 2016. "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 96-124, March.
    56. Hooy, Chee-Wooi & Lee, Meng-Horng & Chong, Terence Tai Leung, 2017. "The Sources of Country and Industry Variations in ASEAN Stock Returns," MPRA Paper 80574, University Library of Munich, Germany.
    57. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    58. Reboredo, Juan C. & Uddin, Gazi Salah, 2016. "Do financial stress and policy uncertainty have an impact on the energy and metals markets? A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 284-298.
    59. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW).

Articles

  1. Hsin-Yi Lin, 2013. "Dynamic Stock Return–Volume Relation: Evidence From Emerging Asian Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 65(2), pages 178-193, April.

    Cited by:

    1. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and volatility spillover effects in equity markets during and after the global financial crisis: An MEM approach," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 208-220.
    2. Jiranyakul, Komain, 2016. "Dynamic relationship between stock return, trading volume, and volatility in the Stock Exchange of Thailand: does the US subprime crisis matter?," MPRA Paper 73791, University Library of Munich, Germany.
    3. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    4. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and Volatility Spillover effects in Equity Markets during and after the Global Financial Crisis: an MEM approach," Cardiff Economics Working Papers E2018/6, Cardiff University, Cardiff Business School, Economics Section.
    5. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    6. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    7. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW).

  2. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.

    Cited by:

    1. Josh Ryan-Collins, 2015. "Is Monetary Financing Inflationary? A Case Study of the Canadian Economy, 1935-75," Economics Working Paper Archive wp_848, Levy Economics Institute.
    2. Montes, Gabriel Caldas & Curi, Alexandre, 2017. "Disagreement in expectations about public debt, monetary policy credibility and inflation risk premium," Journal of Economics and Business, Elsevier, vol. 93(C), pages 46-61.
    3. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    4. Dejan Živkov & Jovan Njegic & Marko Pecanac, 2014. "Bidirectional linkage between inflation and inflation uncertainty – the case of Eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 14(1-2), pages 124-139, December.
    5. Khieu Van, Hoang, 2014. "Budget deficit, money growth and inflation: Empirical evidence from Vietnam," MPRA Paper 54488, University Library of Munich, Germany, revised 12 Feb 2014.
    6. A. Kudrin & I. Sokolov., 2017. "Fiscal maneuver and restructuring the Russian economy," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 9.
    7. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute for the Study of Labor (IZA).
    8. Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    9. Dmitriev, Mikhail & Kersting, Erasmus K., 2016. "Inflation level and inflation volatility: A seigniorage argument," Economics Letters, Elsevier, vol. 147(C), pages 112-115.
    10. Michael F. Bleaney & Mo Tian & Lin Yin, 2017. "De Facto Exchange Rate Regime Classifications: An Evaluation," Open Economies Review, Springer, vol. 28(2), pages 369-382, April.
    11. Lin, Hsin-Yi, 2016. "Do quantitative monetary targets matter?," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 415-428.
    12. Jalil, Abdul & Tariq, Rabbia & Bibi, Nazia, 2014. "Fiscal deficit and inflation: New evidences from Pakistan using a bounds testing approach," Economic Modelling, Elsevier, vol. 37(C), pages 120-126.
    13. Ayesha Mushtaq & Khalid Zaman, 2013. "Macroeconomic Factors Affecting Budget Deficit in Pakistan: A Time Series Analysis," Oeconomics of Knowledge, Saphira Publishing House, vol. 5(4), pages 17-33, October.
    14. Lim Chia Yien & Hussin Abdullah & Muhammad Azam, 2017. "Granger Causality Analysis between Inflation, Debt and Exchange Rate: Evidence from Malaysia," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(1), pages 189-196, January.
    15. Kudrin, Alexey & Sokolov, Ilya, 2017. "Fiscal maneuver and restructuring of the Russian economy," Russian Journal of Economics, Elsevier, vol. 3(3), pages 221-239.
    16. Minea, Alexandru & Tapsoba, René, 2014. "Does inflation targeting improve fiscal discipline?," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 185-203.

  3. Hsin-Yi Lin & Kuang-Ta Lo, 2012. "Tax Incentives and Charitable Contributions: the Evidence from Censored Quantile Regression," Pacific Economic Review, Wiley Blackwell, vol. 17(4), pages 535-558, October.

    Cited by:

    1. Meer, Jonathan, 2014. "Effects of the price of charitable giving: Evidence from an online crowdfunding platform," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 113-124.

  4. Kuan, Chung-Ming & Lin, Hsin-Yi, 2010. "An encompassing test for non-nested quantile regression models," Economics Letters, Elsevier, vol. 107(2), pages 257-260, May.

    Cited by:

    1. Hsin-Yi Lin, 2011. "A robust test for non-nested hypotheses," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 93-111, March.

  5. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    See citations under working paper version above.

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