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Minxian Yang

Personal Details

First Name:Minxian
Middle Name:
Last Name:Yang
Suffix:
RePEc Short-ID:pya233
[This author has chosen not to make the email address public]

Affiliation

School of Economics
UNSW Business School
UNSW (Australia)

Sydney, Australia
http://www.economics.unsw.edu.au/

: (+61)-2-9385-3380
+61)-2- 9313- 6337
Australian School of Business Building, Sydney 2052
RePEc:edi:senswau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Helmut Lütkepohl & George Milunivich & Minxian Yang, 2016. "Inference in Partially Identified Heteroskedastic Simultaneous Equations Models," Discussion Papers of DIW Berlin 1632, DIW Berlin, German Institute for Economic Research.
  2. Minxian Yang, 2014. "Binary Choice Model with Endogeneity: Identification via Heteroskedasticity," Discussion Papers 2014-34, School of Economics, The University of New South Wales.
  3. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
  4. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2012. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Working Papers 15030, University of Tasmania, Tasmanian School of Business and Economics, revised 29 Aug 2012.
  5. Jianxin Wang & Minxian Yang, 2012. "On the Risk Return Relationship," Discussion Papers 2012-31, School of Economics, The University of New South Wales.
  6. Minxian Yang, 2004. "Normal Log-normal Mixture: Leptokurtosis, Skewness and Applications," Econometric Society 2004 Australasian Meetings 186, Econometric Society.
  7. Bewley, R. & Yang, M., 1996. "On the Size and Power of System Tests for Cointegration," Papers 96/9, New South Wales - School of Economics.
  8. Yang, M., 1995. "Econopmic growth and Risk in R&D," Papers 95/24, New South Wales - School of Economics.
  9. Yang, M., 1995. "On Identifying Permanent and Transitory Shocks in VAR Models," Papers 95-5, New South Wales - School of Economics.
  10. Yang, M. & Bewley, R., 1995. "On Cointegration Test for VAR Models with Drift," Papers 95/32, New South Wales - School of Economics.
  11. Bewley, R. & Yang, M., 1993. "Testing for Cointegration within the Box-Tiao Procedure," Papers 93-12, New South Wales - School of Economics.
  12. Bewley, R. & Yang, M., 1993. "Testing for Cointegration: The Effects of Mis-Specifying the Lag Length," Papers 93-18, New South Wales - School of Economics.
  13. Yang, M. & Bewley, R., 1992. "Moving Average Conditional Heterscedastic Processes," Papers 92-23, New South Wales - School of Economics.

Articles

  1. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
  2. Wang, Jianxin & Yang, Minxian, 2015. "How well does the weighted price contribution measure price discovery?," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 113-129.
  3. Minxian Yang, 2014. "Normality of Posterior Distribution Under Misspecification and Nonsmoothness, and Bayes Factor for Davies' Problem," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 305-336.
  4. Maria Socorro Gochoco-Bautista & Jianxin Wang & Minxian Yang, 2014. "Commodity Price, Carry Trade, and the Volatility and Liquidity of Asian Currencies," The World Economy, Wiley Blackwell, vol. 37(6), pages 811-833, June.
  5. Milunovich George & Yang Minxian, 2013. "On Identifying Structural VAR Models via ARCH Effects," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 117-131, May.
  6. Wang, Jianxin & Yang, Minxian, 2013. "On the risk return relationship," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 132-141.
  7. Yang Minxian, 2011. "Volatility Feedback and Risk Premium in GARCH Models with Generalized Hyperbolic Distributions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-21, May.
  8. Wang, Jianxin & Yang, Minxian, 2011. "Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets," Journal of Financial Markets, Elsevier, vol. 14(1), pages 82-108, February.
  9. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.
  10. Minxian Yang, 2008. "Normal log-normal mixture, leptokurtosis and skewness," Applied Economics Letters, Taylor & Francis Journals, vol. 15(9), pages 737-742.
  11. Ronald Bewley & Minxian Yang, 2006. "A hybrid forecasting approach for piece-wise stationary time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(7), pages 513-527.
  12. Minxian Yang, 2002. "Lag length and mean break in stationary VAR models," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 374-387, June.
  13. Yang, Minxian, 2001. "Closed-form likelihood function of Markov-switching models," Economics Letters, Elsevier, vol. 70(3), pages 319-326, March.
  14. Yang, Minxian, 2000. "Some Properties Of Vector Autoregressive Processes With Markov-Switching Coefficients," Econometric Theory, Cambridge University Press, vol. 16(01), pages 23-43, February.
  15. Minxian, Yang, 1998. "System estimators of cointegrating matrix in absence of normalising information," Journal of Econometrics, Elsevier, vol. 85(2), pages 317-337, August.
  16. Ronald Bewley & Minxian Yang, 1998. "On The Size And Power Of System Tests For Cointegration," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 675-679, November.
  17. Yang, Minxian, 1998. "On identifying permanent and transitory shocks in VAR models," Economics Letters, Elsevier, vol. 58(2), pages 171-175, February.
  18. Yang, Minxian & Bewley, Ronald, 1996. "On cointegration tests for VAR models with drift," Economics Letters, Elsevier, vol. 51(1), pages 45-50, April.
  19. Yang, Minxian & Bewley, Ronald, 1995. "Moving average conditional heteroskedastic processes," Economics Letters, Elsevier, vol. 49(4), pages 367-372, October.
  20. Bewley, Ronald & Yang, Minxian, 1995. "Testing for cointegration: the effects of mis-specifying the lag length," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 251-255.
  21. Bewley, Ronald & Orden, David & Yang, Minxian & Fisher, Lance A., 1994. "Comparison of Box--Tiao and Johansen canonical estimators of cointegrating vectors in VEC(1) models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 3-27.

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. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2012. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Working Papers 15030, University of Tasmania, Tasmanian School of Business and Economics, revised 29 Aug 2012.

    Cited by:

    1. Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
    2. Emanuele BACCHIOCCHI, 2015. "On the Identification of Interdependence and Contagion of Financial Crises," Departmental Working Papers 2015-12, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    3. Dungey, Mardi & Gajurel, Dinesh, 2014. "Contagion and banking crisis — internatonal evidence for 2007-2009," Working Papers 2014-10, University of Tasmania, Tasmanian School of Business and Economics.
    4. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
    5. Emanuele Bacchiocchi, 2017. "On the Identification of Interdependence and Contagion of Financial Crises," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1148-1175, December.
    6. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2014. "How did the financial crisis alter the correlations of U.S. yield spreads?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 362-385.
    7. Shawkat Hammoudeh & Sang Hoon Kang & Walid Mensi & Duc Khuong Nguyen, 2016. "Dynamic Global Linkages of the BRICS Stock Markets with the United States and Europe Under External Crisis Shocks: Implications for Portfolio Risk Forecasting," The World Economy, Wiley Blackwell, vol. 39(11), pages 1703-1727, November.
    8. Barassi, Marco & Horvath, Lajos & Zhao, Yuqian, 2018. "Change Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models," MPRA Paper 87837, University Library of Munich, Germany.
    9. Renée Fry-McKibbin & Cody Yu-Ling Hsiao & Vance L. Martin, 2017. "Joint tests of contagion with applications to financial crises," CAMA Working Papers 2017-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Susana Martins & Cristina Amado, 2018. "Financial Market Contagion and the Sovereign Debt Crisis: A Smooth Transition Approach," NIPE Working Papers 08/2018, NIPE - Universidade do Minho.
    11. Herculano, Miguel C., 2018. "The role of contagion in the transmission of financial stress," ESRB Working Paper Series 81, European Systemic Risk Board.
    12. Dungey, Mardi & Harvey, John & Volkov, Vladimir, 2017. "The changing international network of sovereign debt and financial institutions," Working Papers 2017-04, University of Tasmania, Tasmanian School of Business and Economics.
    13. Dudek, Jérémy, 2013. "Illiquidité, contagion et risque systémique," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/13236 edited by Le Fol, Gaëlle.
    14. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2018. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing, vol. 14(1), pages 78-129, February.
    15. Gębka, Bartosz & Korczak, Adriana & Korczak, Piotr & Traczykowski, Jędrzej, 2017. "Profitability of insider trading in Europe: A performance evaluation approach," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 66-90.
    16. Dungey, Mardi & Harvey, John & Siklos, Pierre & Volkov, Vladimir, 2017. "Signed spillover effects building on historical decompositions," Working Papers 2017-11, University of Tasmania, Tasmanian School of Business and Economics.
    17. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
    18. Hammoudeh, Shawkat & Kang, Sang Hoon & Mensi, Walid & Nguyen, Duc Khuong, 2014. "Dynamic global linkages of the BRICS stock markets with the U.S. and Europe under external crisis shocks: Implications for portfolio risk forecasting," MPRA Paper 73400, University Library of Munich, Germany, revised Mar 2016.

  2. Jianxin Wang & Minxian Yang, 2012. "On the Risk Return Relationship," Discussion Papers 2012-31, School of Economics, The University of New South Wales.

    Cited by:

    1. Frazier, David T. & Liu, Xiaochun, 2016. "A new approach to risk-return trade-off dynamics via decomposition," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 43-55.
    2. Tseng, Tseng-Chan & Lee, Chien-Chiang & Chen, Mei-Ping, 2015. "Volatility forecast of country ETF: The sequential information arrival hypothesis," Economic Modelling, Elsevier, vol. 47(C), pages 228-234.
    3. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.

  3. Minxian Yang, 2004. "Normal Log-normal Mixture: Leptokurtosis, Skewness and Applications," Econometric Society 2004 Australasian Meetings 186, Econometric Society.

    Cited by:

    1. Thilo A. Schmitt & Rudi Schafer & Holger Dette & Thomas Guhr, 2015. "Quantile Correlations: Uncovering temporal dependencies in financial time series," Papers 1507.04990, arXiv.org.
    2. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
    3. Thilo A. Schmitt & Rudi Schäfer & Holger Dette & Thomas Guhr, 2015. "Quantile Correlations: Uncovering Temporal Dependencies In Financial Time Series," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(07), pages 1-16, November.

  4. Bewley, R. & Yang, M., 1996. "On the Size and Power of System Tests for Cointegration," Papers 96/9, New South Wales - School of Economics.

    Cited by:

    1. Par Osterholm, 2004. "Size properties of cointegration tests in misspecified systems," Applied Economics Letters, Taylor & Francis Journals, vol. 11(15), pages 919-924.
    2. Gurgul, Henryk & Lach, Łukasz, 2010. "International trade and economic growth in the Polish economy," MPRA Paper 52286, University Library of Munich, Germany.
    3. Wagner, Martin, 1999. "VAR Cointegration in VARMA Models," Economics Series 65, Institute for Advanced Studies.
    4. Nasim Shah Shirazi & Turkhan Ali Abdul Manap, 2005. "Export-Led Growth Hypothesis: Further Econometric Evidence From South Asia," The Developing Economies, Institute of Developing Economies, vol. 43(4), pages 472-488, December.
    5. Jordan Shan & Fiona Sun, 1998. "On the export-led growth hypothesis for the little dragons: An empirical reinvestigation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 26(4), pages 353-371, December.
    6. Pesavento, Elena, 2000. "Analytical Evaluation of the Power of Tests for the Absence of Cointegration," University of California at San Diego, Economics Working Paper Series qt4cq4773c, Department of Economics, UC San Diego.
    7. Bewley, Ronald, 2002. "Forecast accuracy, coefficient bias and Bayesian vector autoregressions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 163-169.
    8. Nasim Shah Shirazi & Turkhan Ali Abdul Manap, 2004. "Exports and Economic Growth Nexus: The Case of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 43(4), pages 563-581.
    9. Carrasco Gutierrez, Carlos Enrique & Castro Souza, Reinaldo & Teixeira de Carvalho Guillén, Osmani, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," MPRA Paper 66065, University Library of Munich, Germany, revised 2009.
    10. Österholm, Pär, 2003. "Testing for Cointegration in Misspecified Systems –A Monte Carlo Study of Size Distortions," Working Paper Series 2003:21, Uppsala University, Department of Economics.
    11. Elena Pesavento, 2005. "Residuals Based Tests for the Null of No Cointegration: An Analytical Comparison," Emory Economics 0503, Department of Economics, Emory University (Atlanta).
    12. Anthony De Francesco, 1999. "The relationship between unemployment and vacancies in Australia," Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 641-652.
    13. Dietmar Maringer & Peter Winker, 2004. "Optimal Lag Structure Selection in VEC-Models," Computing in Economics and Finance 2004 155, Society for Computational Economics.

  5. Yang, M., 1995. "On Identifying Permanent and Transitory Shocks in VAR Models," Papers 95-5, New South Wales - School of Economics.

    Cited by:

    1. Centoni, Marco & Cubadda, Gianluca & Hecq, Alain, 2007. "Common shocks, common dynamics, and the international business cycle," Economic Modelling, Elsevier, vol. 24(1), pages 149-166, January.
    2. Schumacher, Christian, 2000. "Forecasting trend output in the Euro area," HWWA Discussion Papers 109, Hamburg Institute of International Economics (HWWA).
    3. Céline Gauthier & Fu Chun Li, 2006. "Linking Real Activity and Financial Markets: The Bonds, Equity, and Money (BEAM) Model," Staff Working Papers 06-42, Bank of Canada.
    4. Céline Gauthier & Fuchun Li, 2005. "Linking real activity and financial markets: the first steps towards a small estimated model for Canada," BIS Papers chapters,in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 253-72 Bank for International Settlements.
    5. Centoni, Marco & Cubadda, Gianluca, 2003. "Measuring the business cycle effects of permanent and transitory shocks in cointegrated time series," Economics Letters, Elsevier, vol. 80(1), pages 45-51, July.
    6. Christian Schumacher, 2001. "Trend and Cycle in the Euro-Area: A Permanent-Transitory Decomposition Using a Cointegrated VAR Model," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 352-363.
    7. Schumacher, Christian, 2000. "Forecasting Trend Output in the Euro Area," Discussion Paper Series 26245, Hamburg Institute of International Economics.
    8. Gradzewicz, Michal & Kolasa, Marcin, 2004. "Estimating the output gap in the Polish economy: the VECM approach," MPRA Paper 28227, University Library of Munich, Germany.
    9. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2015. "Theoretical Aspects of Modeling of the SVAR
      [Теоретические Аспекты Моделирования Svar]
      ," Published Papers mak8, Russian Presidential Academy of National Economy and Public Administration.

  6. Yang, M. & Bewley, R., 1995. "On Cointegration Test for VAR Models with Drift," Papers 95/32, New South Wales - School of Economics.

    Cited by:

    1. Haug, Alfred A., 1999. "Testing linear restrictions on cointegration vectors: Sizes and powers of Wald tests in finite samples," Technical Reports 1999,04, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. George Athanasopoulos & Donald S. Poskitt & Farshid Vahid & Wenying Yao, 2016. "Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1100-1119, September.
    3. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    4. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    5. Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.

  7. Bewley, R. & Yang, M., 1993. "Testing for Cointegration within the Box-Tiao Procedure," Papers 93-12, New South Wales - School of Economics.

    Cited by:

    1. Bewley, R. & Yang, M., 1993. "Testing for Cointegration: The Effects of Mis-Specifying the Lag Length," Papers 93-18, New South Wales - School of Economics.

  8. Bewley, R. & Yang, M., 1993. "Testing for Cointegration: The Effects of Mis-Specifying the Lag Length," Papers 93-18, New South Wales - School of Economics.

    Cited by:

    1. Shintani, Mototsugu, 2001. "A simple cointegrating rank test without vector autoregression," Journal of Econometrics, Elsevier, vol. 105(2), pages 337-362, December.
    2. Theodore Lianos & Stilianos Fountas, 1997. "Cointegration Tests of the Profit-maximising Equilibrium in Greek Manufacturing: 1958-91," International Review of Applied Economics, Taylor & Francis Journals, vol. 11(3), pages 439-449.
    3. Richard Fu & Marco Pagani, 2012. "On the cointegration of international stock indices," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 463-480, April.
    4. Ho, Mun S & Sorensen, Bent E, 1996. "Finding Cointegration Rank in High Dimensional Systems Using the Johansen Test: An Illustration Using Data Based Monte Carlo Simulations," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 726-732, November.

  9. Yang, M. & Bewley, R., 1992. "Moving Average Conditional Heterscedastic Processes," Papers 92-23, New South Wales - School of Economics.

    Cited by:

    1. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    2. He, Changli & Teräsvirta, Timo, 1997. "Properties of Moments of a Family of GARCH Processes," SSE/EFI Working Paper Series in Economics and Finance 198, Stockholm School of Economics.
    3. Zhu, Ke & Ling, Shiqing, 2014. "LADE-based inference for ARMA models with unspecified and heavy-tailed heteroscedastic noises," MPRA Paper 59099, University Library of Munich, Germany.
    4. Shiqing Ling & Michael McAleer, 2001. "Stationarity and the Existence of Moments of a Family of GARCH Processes," ISER Discussion Paper 0535, Institute of Social and Economic Research, Osaka University.
    5. Ruiz, Esther & Peña, Daniel & Carnero, María Ángeles, 2001. "Outliers and conditional autoregressive heteroscedasticity in time series," DES - Working Papers. Statistics and Econometrics. WS ws010704, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Zacharias Psaradakis & Marián Vávra, 2015. "A Quantile-based Test for Symmetry of Weakly Dependent Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 587-598, July.

Articles

  1. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
    See citations under working paper version above.
  2. Wang, Jianxin & Yang, Minxian, 2015. "How well does the weighted price contribution measure price discovery?," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 113-129.

    Cited by:

    1. Hankil Kang & Jangkoo Kang & Soonhee Lee, 2016. "Which Traders Contribute Most to Price Discovery? Evidence from the KOSPI 200 Options Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(10), pages 2335-2347, October.
    2. Wang, Jianxin, 2014. "Overnight price discovery and the internationalization of a currency: The case of the Korean won," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 86-95.
    3. 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.
    4. Chai, Edwina F.L. & Lee, Adrian D. & Wang, Jianxin, 2015. "Global information distribution in the gold OTC markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 206-217.
    5. Abad, David & Pascual, Roberto, 2015. "The friction-free weighted price contribution," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 226-239.
    6. Gau, Yin-Feng & Wu, Zhen-Xing, 2017. "Macroeconomic announcements and price discovery in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 232-254.

  3. Minxian Yang, 2014. "Normality of Posterior Distribution Under Misspecification and Nonsmoothness, and Bayes Factor for Davies' Problem," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 305-336.

    Cited by:

    1. Helmut Lutkepohl & George Milunovich & Minxian Yang, 2016. "Inference in Partially Identified Heteroskedastic Simultaneous Equations Models," Discussion Papers 2016-19, School of Economics, The University of New South Wales.

  4. Milunovich George & Yang Minxian, 2013. "On Identifying Structural VAR Models via ARCH Effects," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 117-131, May.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
    3. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2012. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Working Papers 15030, University of Tasmania, Tasmanian School of Business and Economics, revised 29 Aug 2012.
    4. Helmut Lütkepohl & Thore Schlaak, 2018. "Bootstrapping Impulse Responses of Structural Vector Autoregressive Models Identified through GARCH," Discussion Papers of DIW Berlin 1750, DIW Berlin, German Institute for Economic Research.
    5. Helmut Luetkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo Group Munich.
    6. Helmut Lütkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticy," SFB 649 Discussion Papers SFB649DP2015-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. Helmut Luetkepohl & George Milunovich, 2015. "Testing for Identification in SVAR-GARCH Models," SFB 649 Discussion Papers SFB649DP2015-030, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Helmut Lütkepohl & George Milunovich, 2015. "Testing for Identification in SVAR-GARCH Models: Reconsidering the Impact of Monetary Shocks on Exchange Rates," Discussion Papers of DIW Berlin 1455, DIW Berlin, German Institute for Economic Research.

  5. Wang, Jianxin & Yang, Minxian, 2013. "On the risk return relationship," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 132-141.
    See citations under working paper version above.
  6. Yang Minxian, 2011. "Volatility Feedback and Risk Premium in GARCH Models with Generalized Hyperbolic Distributions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-21, May.

    Cited by:

    1. Wang, Jianxin & Yang, Minxian, 2013. "On the risk return relationship," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 132-141.
    2. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
    3. Veiga, Helena & Bretó, Carles, 2011. "Forecasting volatility: does continuous time do better than discrete time?," DES - Working Papers. Statistics and Econometrics. WS ws112518, Universidad Carlos III de Madrid. Departamento de Estadística.

  7. Wang, Jianxin & Yang, Minxian, 2011. "Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets," Journal of Financial Markets, Elsevier, vol. 14(1), pages 82-108, February.

    Cited by:

    1. Wang, Jianxin, 2014. "Overnight price discovery and the internationalization of a currency: The case of the Korean won," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 86-95.
    2. Zhang, Yongjie & An, Yahui & Feng, Xu & Jin, Xi, 2017. "Celebrities and ordinaries in social networks: Who knows more information?," Finance Research Letters, Elsevier, vol. 20(C), pages 153-161.
    3. Wang, Jianxin & Yang, Minxian, 2015. "How well does the weighted price contribution measure price discovery?," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 113-129.
    4. 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.
    5. Chai, Edwina F.L. & Lee, Adrian D. & Wang, Jianxin, 2015. "Global information distribution in the gold OTC markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 206-217.
    6. Moshirian, Fariborz & Nguyen, Huong Giang (Lily) & Pham, Peter Kien, 2012. "Overnight public information, order placement, and price discovery during the pre-opening period," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2837-2851.
    7. Kao, Chung-Wei & Wan, Jer-Yuh, 2012. "Price discount, inventories and the distortion of WTI benchmark," Energy Economics, Elsevier, vol. 34(1), pages 117-124.
    8. Otsubo, Yoichi, 2014. "International cross-listing and price discovery under trading concentration in the domestic market: Evidence from Japanese shares," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 36-51.
    9. Jin, Muzhao & Li, Youwei & Wang, Jianxin & Yang, Yung Chiang, 2016. "Price Discovery in the Chinese Gold Market," MPRA Paper 71135, University Library of Munich, Germany.
    10. Su, Fei & Zhang, Jingjing, 2018. "Global price discovery in the Australian dollar market and its determinants," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 35-55.
    11. Gau, Yin-Feng & Wu, Zhen-Xing, 2017. "Macroeconomic announcements and price discovery in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 232-254.

  8. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.

    Cited by:

    1. Duong T Le, 2015. "Ex-ante Determinants of Volatility in the Crude Oil Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(1), pages 1-13, January.
    2. Daniel Stavarek, 2011. "European exchange rates volatility and its asymmetrical components during the financial crisis," MENDELU Working Papers in Business and Economics 2011-17, Mendel University in Brno, Faculty of Business and Economics.
    3. Ibragimov Marat & Khamidov Rufat, 2010. "Heavy-Tailedness and Volatility in Emerging Foreign Exchange Markets: Theory and Empirics," EERC Working Paper Series 10/06e, EERC Research Network, Russia and CIS.
    4. Bouoiyour, Jamal & Selmi, Refk, 2013. "Exchange rate uncertainty and export performance: what meta-analysis reveals?," MPRA Paper 49249, University Library of Munich, Germany, revised Aug 2013.
    5. Chia-Hsun Hsieh & Shian-Chang Huang, 2012. "Time-Varying Dependency and Structural Changes in Currency Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(2), pages 94-127, March.
    6. Antonakakis, Nikolaos, 2012. "Exchange return co-movements and volatility spillovers before and after the introduction of euro," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1091-1109.
    7. Robert T. Daigler & Ann Marie Hibbert & Ivelina Pavlova, 2014. "Examining the Return–Volatility Relation for Foreign Exchange: Evidence from the Euro VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(1), pages 74-92, January.
    8. Ozer-Imer, Itir & Ozkan, Ibrahim, 2014. "An empirical analysis of currency volatilities during the recent global financial crisis," Economic Modelling, Elsevier, vol. 43(C), pages 394-406.
    9. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
    10. Lucía de las Nieves Morales, 2008. "Volatility Spillovers between Equity and Currency Markets: Evidence from Major Latin American Countries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 185-215.
    11. Wang, Kai-Li & Fawson, Christopher & Chen, Mei-Ling & Wu, An-Chi, 2014. "Characterizing information flows among spot, deliverable forward and non-deliverable forward exchange rate markets: A cross-country comparison," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 115-137.
    12. Miikka Kaurijoki & Jussi Nikkinen & Janne Äijö, 2015. "Return‐Implied Volatility Dynamics of High and Low Yielding Currencies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(11), pages 1026-1041, November.
    13. Ivelina Pavlova & Maria E. de Boyrie, 2015. "Carry Trades and Sovereign CDS Spreads: Evidence from Asia‐Pacific Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(11), pages 1067-1087, November.
    14. João Nicolau & Paulo M.M. Rodrigues, 2015. "A New Regression-Based Tail Index Estimator: An Application to Exchange Rates," Working Papers w201514, Banco de Portugal, Economics and Research Department.
    15. Viet Hoang Nguyen & Yongcheol Shin, 2011. "Asymmetric Price Impacts of Order Flow on Exchange Rate Dynamics," Melbourne Institute Working Paper Series wp2011n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Maria Socorro Gochoco-Bautista & Jianxin Wang & Minxian Yang, 2014. "Commodity Price, Carry Trade, and the Volatility and Liquidity of Asian Currencies," The World Economy, Wiley Blackwell, vol. 37(6), pages 811-833, June.
    17. Kwame Osei-Assibey, 2014. "Sign asymmetry and exchange rate market volatility: empirical evidence from two developing countries," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 7(2), pages 107-121.
    18. Toshio Utsunomiya, 2013. "A new approach to the effect of intervention frequency on the foreign exchange market: evidence from Japan," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3742-3759, September.
    19. Sayo Ayodeji, 2015. "Modeling Asymmetric Effect in African Currency Markets: Evidence from Kenya," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(3), pages 1-2.
    20. Cecilia Maya & Karoll Gómez, 2008. "What Exactly is "Bad News" in Foreign Exchange Markets? Evidence from Latin American Markets," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 161-183.
    21. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
    22. Arturo Lorenzo-Valdés & Antonio Ruiz-Porras, 2012. "Los rendimientos cambiarios latinoamericanos y la (a)simetría de los shocks informacionales: un análisis econométrico," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 87-113, November.
    23. Tseng, Tseng-Chan & Lee, Chien-Chiang & Chen, Mei-Ping, 2015. "Volatility forecast of country ETF: The sequential information arrival hypothesis," Economic Modelling, Elsevier, vol. 47(C), pages 228-234.
    24. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
    25. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.
    26. Kilic, Erdem, 2017. "Contagion effects of U.S. Dollar and Chinese Yuan in forward and spot foreign exchange markets," Economic Modelling, Elsevier, vol. 62(C), pages 51-67.
    27. Kumar, Satish & Trück, Stefan, 2014. "Unbiasedness and risk premiums in the Indian currency futures market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 13-32.
    28. Wang, Jianxin, 2013. "Liquidity commonality among Asian equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1209-1231.

  9. Minxian Yang, 2008. "Normal log-normal mixture, leptokurtosis and skewness," Applied Economics Letters, Taylor & Francis Journals, vol. 15(9), pages 737-742.

    Cited by:

    1. Klaus Adam & Michael Woodford, 2018. "Leaning Against Housing Prices as Robustly Optimal Monetary Policy," NBER Working Papers 24629, National Bureau of Economic Research, Inc.
    2. Ravi Kashyap, 2016. "Combining Dimension Reduction, Distance Measures and Covariance," Papers 1603.09060, arXiv.org, revised Nov 2017.
    3. Artiach, Miguel, 2012. "Leverage, skewness and amplitude asymmetric cycles," MPRA Paper 41267, University Library of Munich, Germany.

  10. Minxian Yang, 2002. "Lag length and mean break in stationary VAR models," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 374-387, June.

    Cited by:

    1. Jean-Yves Pitarakis, 2004. "Model Selection Uncertainty and Detection of Threshold Effecs," Econometrics 0409013, University Library of Munich, Germany.
    2. Francisco Martínez-Álvarez & Alicia Troncoso & Gualberto Asencio-Cortés & José C. Riquelme, 2015. "A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting," Energies, MDPI, Open Access Journal, vol. 8(11), pages 1-32, November.
    3. J. Kim & A. Kartsaklas & M. Karanasos, 2005. "The volume–volatility relationship and the opening of the Korean stock market to foreign investors after the financial turmoil in 1997," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 245-271, September.

  11. Yang, Minxian, 2000. "Some Properties Of Vector Autoregressive Processes With Markov-Switching Coefficients," Econometric Theory, Cambridge University Press, vol. 16(01), pages 23-43, February.

    Cited by:

    1. Luc Bauwens & Arie Preminger & Jeroen V.K. Rombouts, 2007. "Theory and Inference for a Markov-Switching GARCH Model," Cahiers de recherche 0733, CIRPEE.
    2. Haider, Adnan & Din, Musleh ud & Ghani, Ejaz, 2011. "Consequences of Political Instability, Governance and Bureaucratic Corruption on Inflation and Growth: The Case of Pakistan," MPRA Paper 35584, University Library of Munich, Germany.
    3. Beg, A.B.M. Rabiul Alam & Anwar, Sajid, 2012. "Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 165-184.
    4. Maddalena Cavicchioli, 2014. "Autocovariance and Linear Transformations of Markov Switching VARMA Processes," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 6(4), pages 275-289, December.
    5. Cavicchioli, Maddalena, 2017. "Asymptotic Fisher information matrix of Markov switching VARMA models," Journal of Multivariate Analysis, Elsevier, vol. 157(C), pages 124-135.
    6. Bibi, Abdelouahab & Ghezal, Ahmed, 2015. "Consistency of quasi-maximum likelihood estimator for Markov-switching bilinear time series models," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 192-202.
    7. Francq, C. & Zakoian, J. -M., 2001. "Stationarity of multivariate Markov-switching ARMA models," Journal of Econometrics, Elsevier, vol. 102(2), pages 339-364, June.
    8. Sajjad Rasoul & Coakley Jerry & Nankervis John C, 2008. "Markov-Switching GARCH Modelling of Value-at-Risk," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-31, September.
    9. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    10. Hamilton, J.D., 2016. "Macroeconomic Regimes and Regime Shifts," Handbook of Macroeconomics, Elsevier.
    11. Aivazian, Sergey & Bereznyatskiy, Alexander & Brodsky, Boris & Darkhovsky, Boris, 2015. "Statistical analysis of variable-structure models," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 84-105.

  12. Minxian, Yang, 1998. "System estimators of cointegrating matrix in absence of normalising information," Journal of Econometrics, Elsevier, vol. 85(2), pages 317-337, August.

    Cited by:

    1. Haug, Alfred A., 1999. "Testing linear restrictions on cointegration vectors: Sizes and powers of Wald tests in finite samples," Technical Reports 1999,04, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

  13. Ronald Bewley & Minxian Yang, 1998. "On The Size And Power Of System Tests For Cointegration," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 675-679, November.
    See citations under working paper version above.
  14. Yang, Minxian, 1998. "On identifying permanent and transitory shocks in VAR models," Economics Letters, Elsevier, vol. 58(2), pages 171-175, February.
    See citations under working paper version above.
  15. Yang, Minxian & Bewley, Ronald, 1996. "On cointegration tests for VAR models with drift," Economics Letters, Elsevier, vol. 51(1), pages 45-50, April.
    See citations under working paper version above.
  16. Yang, Minxian & Bewley, Ronald, 1995. "Moving average conditional heteroskedastic processes," Economics Letters, Elsevier, vol. 49(4), pages 367-372, October.
    See citations under working paper version above.
  17. Bewley, Ronald & Yang, Minxian, 1995. "Testing for cointegration: the effects of mis-specifying the lag length," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 251-255.
    See citations under working paper version above.
  18. Bewley, Ronald & Orden, David & Yang, Minxian & Fisher, Lance A., 1994. "Comparison of Box--Tiao and Johansen canonical estimators of cointegrating vectors in VEC(1) models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 3-27.

    Cited by:

    1. Minxian, Yang, 1998. "System estimators of cointegrating matrix in absence of normalising information," Journal of Econometrics, Elsevier, vol. 85(2), pages 317-337, August.
    2. Haug, Alfred A., 1999. "Testing linear restrictions on cointegration vectors: Sizes and powers of Wald tests in finite samples," Technical Reports 1999,04, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Omtzigt Pieter & Fachin Stefano, 2002. "Bootstrapping and Bartlett corrections in the cointegrated VAR model," Economics and Quantitative Methods qf0212, Department of Economics, University of Insubria.
    4. Gunnar BÃ¥rdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    5. Ang, James B., 2011. "Finance and consumption volatility: Evidence from India," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 947-964, October.
    6. Ang, James, 2009. "Financial Liberalization Or Repression?," MPRA Paper 14497, University Library of Munich, Germany.
    7. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    8. Swanson, Norman R., 1998. "Money and output viewed through a rolling window," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 455-474, May.
    9. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
    10. Alexandre D'Aspremont, 2010. "Identifying small mean-reverting portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 11(3), pages 351-364.
    11. Aka, F.B. & Decaluwé, B., 1999. "Causality and Comovement between Tax Rate and Budget Deficits: Further Evidence from Developing Countries," Cahiers de recherche 9911, Université Laval - Département d'économique.
    12. Marco Cuturi & Alexandre d'Aspremont, 2015. "Mean-Reverting Portfolios: Tradeoffs Between Sparsity and Volatility," Papers 1509.05954, arXiv.org.
    13. Espasa, Antoni & Quilis, Enrique M. & Cuevas, Ángel, 2011. "Combining benchmarking and chain-linking for short-term regional forecasting," DES - Working Papers. Statistics and Econometrics. WS ws114130, Universidad Carlos III de Madrid. Departamento de Estadística.
    14. Ang, James, 2009. "Growth Volatility and Financial Repression: Time Series Evidence from India," MPRA Paper 14412, University Library of Munich, Germany.
    15. Piotr Kębłowski, 2016. "Canonical Correlation Analysis in Panel Vector Error Correction Model. Performance Comparison," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 8(4), pages 203-217, December.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2004-10-30 2014-09-29 2017-01-22
  2. NEP-ETS: Econometric Time Series (3) 2004-10-30 2012-10-13 2012-12-22
  3. NEP-ORE: Operations Research (3) 2014-09-29 2017-01-22 2017-04-16
  4. NEP-FMK: Financial Markets (2) 2013-06-16 2014-04-11
  5. NEP-GER: German Papers (2) 2014-04-11 2014-09-29
  6. NEP-RMG: Risk Management (2) 2013-06-16 2014-04-11
  7. NEP-DCM: Discrete Choice Models (1) 2014-09-29
  8. NEP-FIN: Finance (1) 2004-10-30

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