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Param Silvapulle

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. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Thanabalasingam Vinayagathasan, 2013. "Monetary Policy and the Real Economy: A Structural VAR Approach for Sri Lanka," GRIPS Discussion Papers 13-13, National Graduate Institute for Policy Studies.

  2. Gunky Kim & Mervyn J. Silvapulle & Paramsothy Silvapulle, 2007. "Semiparametric estimation of the dependence parameter of the error terms in multivariate regression," Monash Econometrics and Business Statistics Working Papers 1/07, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Neumeyer, Natalie & Omelka, Marek & Hudecová, Šárka, 2019. "A copula approach for dependence modeling in multivariate nonparametric time series," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 139-162.

  3. Gunky Kim & Mervyn J. Silvapulle & Paramsothy Silvapulle, 2007. "Estimating the Error Distribution in the Multivariate Heteroscedastic Time Series Models," Monash Econometrics and Business Statistics Working Papers 8/07, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Matthias R. Fengler & Helmut Herwartz & Christian Werner, 2012. "A Dynamic Copula Approach to Recovering the Index Implied Volatility Skew," Journal of Financial Econometrics, Oxford University Press, vol. 10(3), pages 457-493, June.
    2. Fantazzini, Dean, 2011. "Analysis of multidimensional probability distributions with copula functions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 22(2), pages 98-134.
    3. Xiangjin B. Chen & Param Silvapulle & Mervyn Silvapulle, 2013. "A Semiparametric Approach to Value-at-Risk, Expected Shortfall and Optimum Asset Allocation in Stock-Bond Portfolios," Monash Econometrics and Business Statistics Working Papers 14/13, Monash University, Department of Econometrics and Business Statistics.

  4. Jae Kim & Param Silvapulle & Rob J. Hyndman, 2006. "Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach," Monash Econometrics and Business Statistics Working Papers 11/06, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Qian Chen & David E. Giles, 2007. "A Saddlepoint Approximation to the Distribution of the Half-Life Estimator in an Autoregressive Model: New Insights Into the PPP Puzzle," Econometrics Working Papers 0703, Department of Economics, University of Victoria.
    2. Thabo M. Mokoena & Gupta, R. & Van Eyden, R., 2009. "Half-Life Deviations from PPP in the South African Development Community (SADC)," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    3. Jae H Kim & Iain Fraser & Rob J. Hyndman, 2010. "Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach," Working Papers 2010.06, School of Economics, La Trobe University.
    4. Philip Inyeob Ji, 2013. "Do country-specific shocks matter? Evidence from Australia and high income countries," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 729-739, February.
    5. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi & Mohamad Shariff, Nurul Sima, 2017. "The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 36-51.
    6. Park, Yung Chul & Park, Hail, 2014. "Stock Market Co-Movement and Exchange Rate Flexibility: Experience of the Republic of Korea," ADBI Working Papers 479, Asian Development Bank Institute.
    7. Georgios Loukopoulos & Dimitrios Antonopoulos, 2015. "Purchasing Power Parity: A Unit Root, Cointegration and VAR Analysis in Emerging and Advanced Countries," Business and Economic Research, Macrothink Institute, vol. 5(1), pages 262-279, June.
    8. Jayasuriya, Sisira & Kim, Jae H. & Kumar, Parmod, 2007. "International and Internal Market Integration in Indian agriculture: A study of the Indian Rice Market," 106th Seminar, October 25-27, 2007, Montpellier, France 7935, European Association of Agricultural Economists.
    9. Kim, Jae H. & Ji, Philip Inyeob, 2011. "Mean-reversion in international real interest rates," Economic Modelling, Elsevier, vol. 28(4), pages 1959-1966, July.
    10. L. Spierdijk & J.A. Bikker, 2012. "Mean Reversion in Stock Prices: Implications for Long-Term Investors," Working Papers 12-07, Utrecht School of Economics.

  5. Param Silvapulle & Xibin Zhang, 2006. "Assessing Dependence Changes in the Asian Financial Market Returns Using Plots Based on Nonparametric Measures," Monash Econometrics and Business Statistics Working Papers 9/06, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Nguyen, Cuong C. & Bhatti, M. Ishaq, 2012. "Copula model dependency between oil prices and stock markets: Evidence from China and Vietnam," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 758-773.

  6. Param Silvapulle & Titi Kanti Lestari & Jae Kim, 2004. "Nonlinear Modelling of Purchasing Power Parity in Indonesia," Econometric Society 2004 Australasian Meetings 316, Econometric Society.

    Cited by:

    1. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.

  7. Guneratne Banda Wickremasinghe & Param Silvapulle, 2004. "Exchange Rate Pass-Through to Manufactured Import Prices: The Case of Japan," International Trade 0406006, University Library of Munich, Germany.

    Cited by:

    1. Delatte, Anne-Laure & López-Villavicencio, Antonia, 2012. "Asymmetric exchange rate pass-through: Evidence from major countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 833-844.
    2. Muellbauer, John & Sinclair, Peter & Aron, Janine & Farrell, Greg, 2010. "Exchange Rate Pass-through and Monetary Policy in South Africa," CEPR Discussion Papers 8153, C.E.P.R. Discussion Papers.
    3. Tapiwa D. Karoro & Meshach J. Aziakpono & Nicolette Cattaneo, 2009. "Exchange Rate Pass‐Through To Import Prices In South Africa: Is There Asymmetry?1," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 380-398, September.
    4. Bussière, Matthieu, 2007. "Exchange rate pass-through to trade prices: the role of non-linearities and asymmetries," Working Paper Series 822, European Central Bank.
    5. Mohammadi Khyareh , Mohsen, 2017. "Asymmetric Effects of Exchange Rate Changes in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(3), pages 317-344, July.
    6. Guneratne Banda Wickremasinghe & Param Silvapulle, 2004. "Role of Exchange Rate Volatility in Exchange Rate Pass-Through to Import Prices: Some Evidence from Japan," International Finance 0406006, University Library of Munich, Germany.
    7. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffrey P., 2019. "Nonlinear exchange rate pass-through in timber products: The case of oriented strand board in Canada and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    8. Byrne, Joseph P. & Chavali, Aditya S. & Kontonikas, Alexandros, 2010. "Exchange rate pass through to import prices: panel evidence from emerging market economies," SIRE Discussion Papers 2010-46, Scottish Institute for Research in Economics (SIRE).
    9. Tokhir Mirzoev, 2004. "A Dynamic Model of Endogenous Exchange Rate Pass-Through," International Finance 0409002, University Library of Munich, Germany.
    10. Michael Fung, 2014. "Ocean Carriers’ Collusion Under Antitrust Immunity: Evidence of Asymmetric Pass-Through," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(1), pages 59-77, August.
    11. Meshach J. Aziakpono & Nicolette Cattaneo & T. D. Karoro, 2008. "Exchange rate pass-through to import prices in South Africa: Is there asymmetry?," Working Papers 079, Economic Research Southern Africa.
    12. Przystupa, Jan & Wróbel, Ewa, 2009. "Asymmetry of the exchange rate pass-through: An exercise on the Polish data," MPRA Paper 17660, University Library of Munich, Germany.

  8. Guneratne Banda Wickremasinghe & Param Silvapulle, 2004. "Role of Exchange Rate Volatility in Exchange Rate Pass-Through to Import Prices: Some Evidence from Japan," International Finance 0406006, University Library of Munich, Germany.

    Cited by:

    1. Federico Marongiu, 2004. "Devaluación e Inflacion en Argentina despues de la Convertibilidad," Macroeconomics 0404013, University Library of Munich, Germany.
    2. Cletus C. Coughlin & Patricia S. Pollard, 2003. "Pass-through estimates and the choice of an exchange rate index," Working Papers 2003-004, Federal Reserve Bank of St. Louis.

  9. Param Silvapulle & Gunky Kim & Mervyn J. Silvapulle, 2004. "Robustness of a semiparametric estimator of a copula," Econometric Society 2004 Australasian Meetings 317, Econometric Society.

    Cited by:

    1. Sarazin, Gabriel & Morio, Jérôme & Lagnoux, Agnès & Balesdent, Mathieu & Brevault, Loïc, 2021. "Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Silvo Dajcman, 2013. "Dependence between Croatian and European stock markets – A copula GARCH approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 31(2), pages 209-232.
    3. Hohsuk Noh & Anouar El Ghouch & Ingrid Van Keilegom, 2015. "Semiparametric Conditional Quantile Estimation Through Copula-Based Multivariate Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 167-178, April.

  10. Silvapulle, P. & Evans, M., 1996. "Testing for Serial Correlation in the of Dynamic Heteroscedasticity," Monash Econometrics and Business Statistics Working Papers 7/96, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

  11. Param Silvapulle, 1995. "A Score Test for Seasonal Fractional Integration and Cointegration," Econometrics 9506005, University Library of Munich, Germany, revised 16 Jun 1995.

    Cited by:

    1. Gil-Alaña, Luis A., 2000. "Deterministic seasonality versus seasonal fractional integration," SFB 373 Discussion Papers 2000,106, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Luis A. Gil-Alana, 2003. "Long Memory In Financial Time Series Data With Non-Gaussian Disturbances," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 119-134.
    3. Gil-Alana, L.A., 2008. "Testing of seasonal integration and cointegration with fractionally integrated techniques: An application to the Danish labour demand," Economic Modelling, Elsevier, vol. 25(2), pages 326-339, March.

Articles

  1. Kim, Jae H. & Silvapulle, Param & Hyndman, Rob J., 2007. "Half-life estimation based on the bias-corrected bootstrap: A highest density region approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3418-3432, April.
    See citations under working paper version above.
  2. Paramsothy Silvapulle & Imad Moosa & Mervyn Silvapulle, 2004. "Asymmetry in Okun's law," Canadian Journal of Economics, Canadian Economics Association, vol. 37(2), pages 353-374, May.

    Cited by:

    1. Tingting Cheng & Jiti Gao & Xibin Zhang, 2015. "Bayesian Bandwidth Estimation In Nonparametric Time-Varying Coefficient Models," Monash Econometrics and Business Statistics Working Papers 3/15, Monash University, Department of Econometrics and Business Statistics.
    2. de Mendonça, Helder Ferreira & de Oliveira, Diego S.P., 2019. "Firms' confidence and Okun's law in OECD countries," Economic Modelling, Elsevier, vol. 78(C), pages 98-107.
    3. Mattoscio Nicola & Bucciarelli Edgardo & Odoardi Iacopo & Persico Tony Ernesto, 2012. "AN EXAMINATION OF OKUN'(tm)S LAW: EVIDENCE FROM EUROPEAN TARGET COUNTRIES," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 237-243, December.
    4. Giovanni BUSETTA & Dario CORSO, 2008. "La legge di Okun: asimmetrie e differenziali territoriali in Italia," Working Papers 320, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Roger, Perman & Gaetan, Stephan & Christophe, Tavéra, 2013. "Okun’s law – A meta analysis," SIRE Discussion Papers 2013-59, Scottish Institute for Research in Economics (SIRE).
    6. Abdessalem GOUIDER & Ridha NOUIRA & Faouzi SBOUI, 2018. "La relation croissance-chômage en Tunisie : validation de la spécification non linéaire de la loi d’Okun," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 27-41.
    7. Koutroulis, Aristotelis & Panagopoulos, Yannis & Tsouma, Ekaterini, 2016. "Asymmetry in the response of unemployment to output changes in Greece: Evidence from hidden co-integration," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 81-88.
    8. Klinger, Sabine & Weber, Enzo, 2019. "GDP-Employment decoupling and the slow-down of productivity growth in Germany," IAB-Discussion Paper 201912, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Sibel Cengiz & Afsin Sahin, 2014. "Modelling nonlinear behavior of labor force participation rate by STAR: An application for Turkey," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(1), pages 113-127, April.
    10. Louail Bilal & Ben Haj Hamida Hayet, 2021. "Asymmetry Relationship between Economic Growth and Unemployment Rates in the Arab countries: Application of the OKUN Law during 1960-2017," Management, Sciendo, vol. 25(2), pages 1-21, December.
    11. James DeNicco & Christopher A. Laincz, 2018. "Jobless Recovery: A Time Series Look at the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(1), pages 3-25, March.
    12. Costas Karfakis & Konstantinos Katrakilidis & Eftychia Tsanana, 2013. "Does Output Predict Unemployment? A Look at Okun’s Law in Greece," Discussion Paper Series 2013_01, Department of Economics, University of Macedonia, revised Dec 2013.
    13. Javier J. Pérez & Jesús Rodríguez López & Teresa Leal, 2002. "Pautas cíclicas de la economía andaluza en el período 1984-2001: un análisis comparado," Economic Working Papers at Centro de Estudios Andaluces E2002/18, Centro de Estudios Andaluces.
    14. Porras, María Sylvina & Martín-Román, Ángel L., 2022. "The heterogeneity of Okun’s law: A metaregression analysis," MPRA Paper 112442, University Library of Munich, Germany.
    15. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2010. "Asymmetric unemployment rate dynamics in Australia," CREATES Research Papers 2010-02, Department of Economics and Business Economics, Aarhus University.
    16. Pagliari Carmen & Mattoscio Nicola & Odoardi Iacopo & Tenerelli Fabiana, 2013. "Stability, Bifurcations And Chaos In Unemployment Non-Linear Dynamics," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 736-745, July.
    17. Javier J. Pérez & Jesús Rodríguez López & Carlos Usabiaga, 2002. "Análisis Dinámico de la Relación entre Ciclo Económico y Ciclo del Desempleo en Andalucía en Comparación con el Resto de España," Economic Working Papers at Centro de Estudios Andaluces E2002/07, Centro de Estudios Andaluces.
    18. Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
    19. Kim, Jun & Yoon, Jong Cheol & Jei, Sang Young, 2020. "An empirical analysis of Okun’s laws in ASEAN using time-varying parameter model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    20. Roger, Perman & Jean-Philippe, Boussemart & Walter, Briec & Christophe, Tavéra, 2013. "How do technical change and technological distance influence the size of the Okun’s Law coefficient?," SIRE Discussion Papers 2013-60, Scottish Institute for Research in Economics (SIRE).
    21. Rui M. Pereira, 2013. "Okun's Law across the Business Cycle and during the Great Recession: A Markov Switching Analysis," Working Papers 139, Department of Economics, College of William and Mary.
    22. Rui Pereira, 2014. "Okun’s law, asymmetries and regional spillovers: evidence from Virginia metropolitan statistical areas and the District of Columbia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 583-595, March.
    23. Aki Kangasharju & Christophe Tavera & Peter Nijkamp, 2012. "Regional Growth and Unemployment: The Validity of Okun's Law for the Finnish Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(3), pages 381-395, September.
    24. Rülke, Jan-Christoph, 2012. "Do professional forecasters apply the Phillips curve and Okun's law? Evidence from six Asian-Pacific countries," Japan and the World Economy, Elsevier, vol. 24(4), pages 317-324.
    25. Holmes, Mark J. & Silverstone, Brian, 2006. "Okun's law, asymmetries and jobless recoveries in the United States: A Markov-switching approach," Economics Letters, Elsevier, vol. 92(2), pages 293-299, August.
    26. Jose Caraballo†Cueto, 2016. "Is there a minimum wage biting in Puerto Rico? Updating the debate," Industrial Relations Journal, Wiley Blackwell, vol. 47(5-6), pages 513-529, November.
    27. Sandrine Cazes & Sher Verick & Fares Al Hussami, 2013. "Why did unemployment respond so differently to the global financial crisis across countries? Insights from Okun’s Law," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-18, December.
    28. Roger Perman & Stephan Gaetan & Christophe Tavera, 2013. "Okun's law - a meta analysis," Working Papers 1311, University of Strathclyde Business School, Department of Economics.
    29. Nurudeen Abu, 2017. "Does Okun’s Law Exist in Nigeria? Evidence from the ARDL Bounds Testing Approach," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 11(2), June.
    30. Celia Melguizo, 2015. "An analysis of Okun?s law for the Spanish provinces," ERSA conference papers ersa15p1558, European Regional Science Association.
    31. Antal, Miklós, 2014. "Green goals and full employment: Are they compatible?," Ecological Economics, Elsevier, vol. 107(C), pages 276-286.
    32. Phiri, Andrew, 2014. "Re-evaluating Okun's law in South Africa: A nonlinear co-integration approach," MPRA Paper 57398, University Library of Munich, Germany.
    33. Neifar, Malika, 2020. "Cyclical Output, Cyclical Unemployment, and augmented Okun's Law in MENA zone," MPRA Paper 98953, University Library of Munich, Germany.
    34. Hoover, Gary A. & Giedeman, Daniel C. & Dibooglu, Sel, 2009. "Income inequality and the business cycle: A threshold cointegration approach," Economic Systems, Elsevier, vol. 33(3), pages 278-292, September.
    35. PERUGINI, Cristiano, 2009. "Employment Intensity Of Growth In Italy. A Note Using Regional Data," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 9(1).
    36. João Sousa Andrade, 2007. "Uma Aplicação da Lei de Okun em Portugal," GEMF Working Papers 2007-04, GEMF, Faculty of Economics, University of Coimbra.
    37. Petre Caraiani & Emmanuel Haven, 2013. "The Role of Recurrence Plots in Characterizing the Output-Unemployment Relationship: An Analysis," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
    38. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2022. "The updated Okun method for estimation of potential output with alternative measures of labor underutilization," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 158-178.
    39. Ismihan, Mustafa, 2010. "A New Framework for Output-Unemployment Relationship: Okun’s Law Revisited," MPRA Paper 28135, University Library of Munich, Germany.
    40. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    41. Bod’a, Martin & Považanová, Mariana, 2021. "Output-unemployment asymmetry in Okun coefficients for OECD countries," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 307-323.
    42. Giorgio Canarella & Stephen M. Miller, 2016. "Did Okun's Law Die after the Great Recession?," Working papers 2016-10, University of Connecticut, Department of Economics.
    43. Klinger, Sabine & Weber, Enzo, 2020. "GDP-employment decoupling in Germany," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 82-98.
    44. Gilles Margirier, 2018. "Recent trends in Okun's law : eleven countries from 1995 to 2017," Working Papers halshs-02482421, HAL.
    45. Zakaria El Faiz & Said Tounsi, 2019. "Les Fluctuations Cycliques De La Production Et Du Chômage Au Maroc : Une Approche Sectorielle De La Loi D’Okun," Working Papers 1336, Economic Research Forum, revised 21 Aug 2019.
    46. Huang, Ho-Chuan (River) & Lin, Shu-Chin, 2008. "Smooth-time-varying Okun's coefficients," Economic Modelling, Elsevier, vol. 25(2), pages 363-375, March.
    47. Eduardo Loría & Emmanuel Salas, 2014. "A Nonlinear Relationship: Unemployment and Economic Growth (Construction Sector) in Spain, 1995.1–2012.2," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(4), pages 439-453, November.
    48. Laurence M. Ball & João Tovar Jalles & Mr. Prakash Loungani, 2014. "Do Forecasters Believe in Okun’s Law? An Assessment of Unemployment and Output Forecasts," IMF Working Papers 2014/024, International Monetary Fund.
    49. Shabir Mohsin Hashmi & Ali Gul Khushik & Muhammad Akram Gilal & Zhao Yongliang, 2021. "The Impact of GDP and Its Expenditure Components on Unemployment Within BRICS Countries: Evidence of Okun’s Law From Aggregate and Disaggregated Approaches," SAGE Open, , vol. 11(2), pages 21582440211, June.
    50. Donayre, Luiggi, 2022. "On the behavior of Okun's law across business cycles," Economic Modelling, Elsevier, vol. 112(C).
    51. João Sousa Andrade, 2009. "The PIGS, does the Group Exist? An empirical macroeconomic analysis based on the Okun Law," GEMF Working Papers 2009-11, GEMF, Faculty of Economics, University of Coimbra.
    52. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2024. "Introducing sspaneltvp: a code to estimating state-space time varying parameter models in panels. An application to Okun’s law," Working Papers 2405, Department of Applied Economics II, Universidad de Valencia.
    53. Jorge Belaire-Franch & Amado Peiró, 2015. "Asymmetry in the relationship between unemployment and the business cycle," Empirical Economics, Springer, vol. 48(2), pages 683-697, March.
    54. Andrew Phiri, 2014. "Nonlinear Co-Integration Between Unemployment and Economic Growth in South Africa," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(4 (Winter), pages 303-324.
    55. Klinger, Sabine & Weber, Enzo, 2015. "GDP-Employment Decoupling and the Productivity Puzzle in Germany," University of Regensburg Working Papers in Business, Economics and Management Information Systems 485, University of Regensburg, Department of Economics.
    56. Mehak Ejaz & Kalim Hyder, 2017. "Are Some Groups More Vulnerable to Business Cycle Shocks than Others? A Regional Analysis of Pakistan’s Labor Market," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(Special E), pages 199-231, September.
    57. Mina Baliamoune, 2022. "Trade and Youth Labor Market Outcomes: Empirical Evidence and Policy Implications," Research papers & Policy papers 1945, Policy Center for the New South.
    58. Thomas Obst, 2022. "Dynamic version of Okun’s law in the EU15 countries—The role of delays in the unemployment‐output nexus," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 225-241, May.
    59. Adegbemi Babatunde Onakoya & Adedotun SEYINGBO Victor, 2020. "Economic Growth and Unemployment Nexus: Okun’s Two-Version Case for Nigeria, South Africa and United States of America," Journal of Economics and Behavioral Studies, AMH International, vol. 12(1), pages 55-65.
    60. Nebot, César & Beyaert, Arielle & García-Solanes, José, 2019. "New insights into the nonlinearity of Okun's law," Economic Modelling, Elsevier, vol. 82(C), pages 202-210.
    61. Ousama Ben-Salha & Zouhair Mrabet, 2019. "Is Economic Growth Really Jobless? Empirical Evidence from North Africa," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(4), pages 598-624, December.
    62. Grant, Angelia L., 2018. "The Great Recession and Okun's law," Economic Modelling, Elsevier, vol. 69(C), pages 291-300.

  3. Imad A. Moosa & Param Silvapulle & Mervyn Silvapulle, 2003. "Testing for Temporal Asymmetry in the Price‐Volume Relationship," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 373-389, October.

    Cited by:

    1. Jena, Sangram Keshari & Lahiani, Amine & Tiwari, Aviral Kumar & Roubaud, David, 2021. "Uncovering the complex asymmetric relationship between trading activity and commodity futures price: Evidenced from QNARDL study," Resources Policy, Elsevier, vol. 74(C).
    2. Wang, Dong-Hua & Suo, Yuan-Yuan & Yu, Xiao-Wen & Lei, Man, 2013. "Price–volume cross-correlation analysis of CSI300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1172-1179.
    3. Catherine Bruneau & Amine Lahiani, 2006. "Estimation d'un modèle TIMA avec asymétrie contemporaine par inférence indirecte," EconomiX Working Papers 2006-17, University of Paris Nanterre, EconomiX.
    4. Chen, Cathy W.S. & Yang, Ming Jing & Gerlach, Richard & Jim Lo, H., 2006. "The asymmetric reactions of mean and volatility of stock returns to domestic and international information based on a four-regime double-threshold GARCH model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 401-418.
    5. Ralf Brüggemann & Markus Glaser & Stefan Schaarschmidt & Sandra Stankiewicz, 2014. "The Stock Return - Trading Volume Relationship in European Countries: Evidence from Asymmetric Impulse Responses," Working Paper Series of the Department of Economics, University of Konstanz 2014-24, Department of Economics, University of Konstanz.
    6. 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.
    7. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    8. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    9. Kim, Jong-Min & Jung, Hojin, 2017. "Can asymmetric conditional volatility imply asymmetric tail dependence?," Economic Modelling, Elsevier, vol. 64(C), pages 409-418.
    10. Gerlach, Richard & Chen, Cathy W.S. & Lin, Doris S.Y. & Huang, Ming-Hsiang, 2006. "Asymmetric responses of international stock markets to trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 422-444.
    11. Tomás Rau & Miguel Sarzosa & Sergio S. Urzúa, 2017. "The Children of the Missed Pill," NBER Working Papers 23911, National Bureau of Economic Research, Inc.
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    13. Hao-Chang Yang & Ferry Syarifuddin & Chun-Ping Chang & Hai-Jie Wang, 2022. "The Impact of Exchange Rate Futures Fluctuations on Macroeconomy: Evidence from Ten Trading Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(8), pages 2300-2313, June.
    14. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
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    1. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The memory of stock return volatility: Asset pricing implications," Journal of Financial Markets, Elsevier, vol. 47(C).
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    3. Sanjay Rajagopal, 2012. "A Study of the Returns Behavior of Small Capitalization REITs," Journal of Economics and Behavioral Studies, AMH International, vol. 4(8), pages 457-466.
    4. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series 2330, CESifo.
    5. Emmanuel Anoruo & Luis Alberiko Gil-Alaña, 2010. "Mean reversion and long memory in African stock market prices," NCID Working Papers 01/2011, Navarra Center for International Development, University of Navarra.
    6. Sanjay Rajagopal & Patrick Hays, 2012. "Return Persistence in the Indian Real Estate Market," International Real Estate Review, Global Social Science Institute, vol. 15(3), pages 283-305.
    7. Kousik Guhathakurta & Sharad Nath Bhattacharya & Mousumi Bhattacharya, 2012. "Exploring Presence of Long Memory in Emerging and Developed Stock Markets," Working papers 107, Indian Institute of Management Kozhikode.
    8. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    9. Pan, Shuiyang & Long, Suwan(Cheng) & Wang, Yiming & Xie, Ying, 2023. "Nonlinear asset pricing in Chinese stock market: A deep learning approach," International Review of Financial Analysis, Elsevier, vol. 87(C).
    10. Dräger, Lena & Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The Long Memory of Equity Volatility and the Macroeconomy: International Evidence," Hannover Economic Papers (HEP) dp-667, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    11. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
    12. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Is market fear persistent? A long-memory analysis," Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
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    17. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2010. "The Weekly Structure of US Stock Prices," Discussion Papers of DIW Berlin 1077, DIW Berlin, German Institute for Economic Research.
    18. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2017. "The Long Memory of Equity Volatility: International Evidence," Hannover Economic Papers (HEP) dp-614, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    19. Mr. Jun Nagayasu, 2003. "The Efficiency of the Japanese Equity Market," IMF Working Papers 2003/142, International Monetary Fund.
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    21. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    22. Hull, Matthew & McGroarty, Frank, 2014. "Do emerging markets become more efficient as they develop? Long memory persistence in equity indices," Emerging Markets Review, Elsevier, vol. 18(C), pages 45-61.
    23. Cornelis A. Los & Joanna M. Lipka, 2004. "Long-Term Dependence Characteristics of European Stock Indices," Finance 0409044, University Library of Munich, Germany.
    24. Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020. "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working papers 2020-10, University of Connecticut, Department of Economics.
    25. Gil-Alana, Luis A. & Cunado, Juncal & de Gracia, Fernando Perez, 2013. "Salient features of dependence in daily US stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3198-3212.
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    33. Tan, Pei P. & Galagedera, Don U.A. & Maharaj, Elizabeth A., 2012. "A wavelet based investigation of long memory in stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2330-2341.
    34. Pramesti Getut, 2023. "Parameter least-squares estimation for time-inhomogeneous Ornstein–Uhlenbeck process," Monte Carlo Methods and Applications, De Gruyter, vol. 29(1), pages 1-32, March.
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    36. Sijing Zong & Cornelis A. Los & Nyonyo Kyaw, 2004. "Persistence Characteristics of Latin American Financial Markets," Finance 0411013, University Library of Munich, Germany.
    37. Guglielmo Maria Caporale & Luis A. Gil-Alana & C. James Orlando, 2015. "Linkages between the US and European Stock Markets: A Fractional Cointegration Approach," CESifo Working Paper Series 5523, CESifo.
    38. Karuppiah, Jeyanthi & Los, Cornelis A., 2005. "Wavelet multiresolution analysis of high-frequency Asian FX rates, Summer 1997," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 211-246.
    39. Chatterjee, Soumya & Mukherjee, Indranil & Barat, P., 2018. "Analysis of the behaviour of the detrended BSE sensex data," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 186-196.
    40. Yensen Ni & Min-Yuh Day & Yirung Cheng & Paoyu Huang, 2022. "Can investors profit by utilizing technical trading strategies? Evidence from the Korean and Chinese stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    41. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    42. Jussi Tolvi, 2003. "Long memory in a small stock market," Economics Bulletin, AccessEcon, vol. 7(3), pages 1-13.
    43. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    44. Rim Ammar Lamouchi, 2020. "Long Memory and Stock Market Efficiency: Case of Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 29-34.
    45. Wei-Guo Zhang & Zhe Li & Yong-Jun Liu & Yue Zhang, 2021. "Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 483-515, August.
    46. Terence Tai Leung Chong & Chenxi Lu & Wing Hong Chan, 2020. "Long Range Dependence And Structural Breaks In The Gold Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 257-273, March.
    47. Kuttu, Saint, 2018. "Modelling long memory in volatility in sub-Saharan African equity markets," Research in International Business and Finance, Elsevier, vol. 44(C), pages 176-185.
    48. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    49. Kim Liow, 2009. "Long-term Memory in Volatility: Some Evidence from International Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 39(4), pages 415-438, November.
    50. Mejra Festic & Alenka Kavkler & Silvo Dajcman, 2012. "Long memory in the Croatian and Hungarian stock market returns," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 115-139.
    51. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    52. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    53. de Melo Mendes, Beatriz Vaz & Kolev, Nikolai, 2008. "How long memory in volatility affects true dependence structure," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1070-1086, December.
    54. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behavior in Mediterranean stock markets: a wavelet-based approach," Working Papers 2014-184, Department of Research, Ipag Business School.
    55. Boubaker, Heni & Sghaier, Nadia, 2013. "Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 361-377.
    56. Adnan Kasman & Erdost Torun, 2007. "Long Memory in the Turkish Stock Market Return and Volatility," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 13-27.
    57. Luis A. Gil-Alana & Yun Cao, 2011. "Stock market prices in China. Efficiency, mean reversion, long memory volatility and other implicit dynamics," Faculty Working Papers 12/11, School of Economics and Business Administration, University of Navarra.
    58. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    59. Alexander Kukush & Stanislav Lohvinenko & Yuliya Mishura & Kostiantyn Ralchenko, 2022. "Two approaches to consistent estimation of parameters of mixed fractional Brownian motion with trend," Statistical Inference for Stochastic Processes, Springer, vol. 25(1), pages 159-187, April.
    60. Tripathy, Naliniprava, 2022. "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    61. Axel A. Araneda, 2019. "The fractional and mixed-fractional CEV model," Papers 1903.05747, arXiv.org, revised Jun 2019.
    62. Keith Jefferis & Pako Thupayagale, 2008. "Long Memory In Southern African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 76(3), pages 384-398, September.
    63. Gomes, Luís M. P. & Soares, Vasco J. S. & Gama, Sílvio M. A. & Matos, José A. O., 2018. "Long-term memory in Euronext stock indexes returns: an econophysics approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(4), pages 862-881, August.
    64. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    65. Luis A. Gil-Alana & Trilochan Tripathy, 2016. "Long Range Dependence in the Indian Stock Market: Evidence of Fractional Integration, Non-Linearities and Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 199-215, December.
    66. Matthias Bauer & Martin Zenker, 2012. "Market Discipline Under A Politicised Multilateral Fiscal Rule - Lessons from the Stability and Growth Pact Debate," Global Financial Markets Working Paper Series 2012-35, Friedrich-Schiller-University Jena.
    67. Héctor F. Salazar-Núñez & Francisco Venegas-Martínez & Cuauhtémoc Calderón-Villareal, 2017. "¿Existe memoria larga en mercados bursátiles, o depende del modelo, periodo o frecuencia? (Is there Long Memory in Stock Markets, or Does it Depend on the Model, Period or Frequency?)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 1-24, May.
    68. Yalama, Abdullah & Celik, Sibel, 2013. "Real or spurious long memory characteristics of volatility: Empirical evidence from an emerging market," Economic Modelling, Elsevier, vol. 30(C), pages 67-72.
    69. Ferreira, Paulo, 2018. "Efficiency or speculation? A time-varying analysis of European sovereign debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1295-1308.
    70. Yensen Ni & Yirung Cheng & Yulu Liao & Paoyu Huang, 2022. "Does board structure affect stock price overshooting informativeness measured by stochastic oscillator indicators?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2290-2302, April.
    71. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
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    73. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    74. Ezzat, Hassan, 2013. "Long Memory Processes and Structural Breaks in Stock Returns and Volatility: Evidence from the Egyptian Exchange," MPRA Paper 51465, University Library of Munich, Germany.
    75. Cunado, J. & Gil-Alana, L.A. & Gracia, Fernando Perez de, 2010. "Mean reversion in stock market prices: New evidence based on bull and bear markets," Research in International Business and Finance, Elsevier, vol. 24(2), pages 113-122, June.

  5. Paramsothy Silvapulle, 2001. "A Score Test For Seasonal Fractional Integration And Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 20(1), pages 85-104.
    See citations under working paper version above.
  6. Moosa, Imad A. & Silvapulle, Param, 2000. "The price-volume relationship in the crude oil futures market Some results based on linear and nonlinear causality testing," International Review of Economics & Finance, Elsevier, vol. 9(1), pages 11-30, February.

    Cited by:

    1. Masih, Rumi & Peters, Sanjay & De Mello, Lurion, 2011. "Oil price volatility and stock price fluctuations in an emerging market: Evidence from South Korea," Energy Economics, Elsevier, vol. 33(5), pages 975-986, September.
    2. Magkonis, Georgios & Tsouknidis, Dimitris A., 2017. "Dynamic spillover effects across petroleum spot and futures volatilities, trading volume and open interest," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 104-118.
    3. Jena, Sangram Keshari & Lahiani, Amine & Tiwari, Aviral Kumar & Roubaud, David, 2021. "Uncovering the complex asymmetric relationship between trading activity and commodity futures price: Evidenced from QNARDL study," Resources Policy, Elsevier, vol. 74(C).
    4. 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.
    5. Phantratanamongkol, Supanan & Casalin, Fabrizio & Pang, Gu & Sanderson, Joseph, 2018. "The price-volume relationship for new and remanufactured smartphones," International Journal of Production Economics, Elsevier, vol. 199(C), pages 78-94.
    6. Liu, 2014. "Do futures prices exhibit maturity effect? A nonparametric revisit," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 813-825, March.
    7. Wang, Dong-Hua & Suo, Yuan-Yuan & Yu, Xiao-Wen & Lei, Man, 2013. "Price–volume cross-correlation analysis of CSI300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1172-1179.
    8. Yang, Heejin & Kutan, Ali M. & Ryu, Doojin, 2019. "Volatility information trading in the index options market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 412-426.
    9. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    10. Luisa Nieto & Mª Dolores Robles Fernández & Ángeles Fernández, 2002. "Linear and Nonlinear Intraday Dynamics between the Eurostoxx-50," Documentos de Trabajo del ICAE 0208, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. 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.
    12. Algieri, Bernardina & Kalkuhl, Matthias, 2014. "Back to the Futures: An Assessment of Commodity Market Efficiency and Forecast Error Drivers," Discussion Papers 187159, University of Bonn, Center for Development Research (ZEF).
    13. Bernardina Algieri & Matthias Kalkuhl, 2019. "Efficiency and Forecast Performance of Commodity Futures Markets," American Journal of Economics and Business Administration, Science Publications, vol. 11(1), pages 19-34, June.
    14. Ralf Brüggemann & Markus Glaser & Stefan Schaarschmidt & Sandra Stankiewicz, 2014. "The Stock Return - Trading Volume Relationship in European Countries: Evidence from Asymmetric Impulse Responses," Working Paper Series of the Department of Economics, University of Konstanz 2014-24, Department of Economics, University of Konstanz.
    15. Le, Thai-Ha & Le, Anh Tu & Le, Ha-Chi, 2021. "The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    16. Tang, Linghui & Hammoudeh, Shawkat, 2002. "An empirical exploration of the world oil price under the target zone model," Energy Economics, Elsevier, vol. 24(6), pages 577-596, November.
    17. Bhar, Ramaprasad & Hamori, Shigeyuki, 2005. "Causality in variance and the type of traders in crude oil futures," Energy Economics, Elsevier, vol. 27(3), pages 527-539, May.
    18. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    19. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    20. Imad A. Moosa & Param Silvapulle & Mervyn Silvapulle, 2003. "Testing for Temporal Asymmetry in the Price‐Volume Relationship," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 373-389, October.
    21. Lee, Chien-Chiang & Chien, Mei-Se, 2008. "Structural breaks, tourism development, and economic growth: Evidence from Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(4), pages 358-368.
    22. Jia, Rui-Lin & Wang, Dong-Hua & Tu, Jing-Qing & Li, Sai-Ping, 2016. "Correlation between agricultural markets in dynamic perspective—Evidence from China and the US futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 464(C), pages 83-92.
    23. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "Information Flow between Price Change and Trading Volume in Gold Futures Contracts," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 45-56, April.
    24. Brown, Stephen J. & Steenbeek, Onno W., 2001. "Doubling: Nick Leeson's trading strategy," Pacific-Basin Finance Journal, Elsevier, vol. 9(2), pages 83-99, April.
    25. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    26. Mensi, Walid & Hanif, Waqas & Vo, Xuan Vinh & Choi, Ki-Hong & Yoon, Seong-Min, 2023. "Upside/Downside spillovers between oil and Chinese stock sectors: From the global financial crisis to global pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    27. Beckmann, Joscha & Czudaj, Robert, 2014. "Volatility transmission in agricultural futures markets," Economic Modelling, Elsevier, vol. 36(C), pages 541-546.

  7. Shipra Banik & Param Silvapulle, 1999. "Testing for Seasonal Stability in Unemployment Series: International Evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 26(2), pages 123-139, June.

    Cited by:

    1. Evren Erdoğan Cosar, 2006. "Seasonal behaviour of the consumer price index of Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 449-455.

  8. Silvapulle, Param & Choi, Jong-Seo, 1999. "Testing for linear and nonlinear granger causality in the stock price-volume relation: Korean evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(1), pages 59-76.

    Cited by:

    1. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    2. Cetin Ciner, 2003. "Dynamic Linkages Between Trading Volume and Price Movements: Evidence for Small Firm Stocks," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 8(1), pages 87-102, Spring.
    3. Liu, Xinghua & Liu, Xin & Liang, Xiaobei, 2015. "Information-driven trade and price–volume relationship in artificial stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 73-80.
    4. De Gooijer, Jan G. & Sivarajasingham, Selliah, 2008. "Parametric and nonparametric Granger causality testing: Linkages between international stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2547-2560.
    5. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    6. Alizadeh, Amir H., 2013. "Trading volume and volatility in the shipping forward freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 250-265.
    7. Weihong HUANG & Wanying Wang, 2012. "Price-Volume Relations in Financial Market," Economic Growth Centre Working Paper Series 1209, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    8. Chan, Kam C. & Cheng, Louis T. W. & Lung, Peter P., 2003. "Moneyness and the response of the implied volatilities to price changes: The empirical evidence from HSI options," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 527-553, September.
    9. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    10. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    11. Tomasz Wójtowicz, 2017. "High-volume return premium on the stock markets in Warsaw and Vienna," Bank i Kredyt, Narodowy Bank Polski, vol. 48(4), pages 375-402.
    12. Xiangmei Fan & Yanrui Wu & Nicolaas Groenewold, 2003. "The Stock Return-volume Relation and Policy Effects: The Case of the Chinese Energy Sector," Economics Discussion / Working Papers 03-15, The University of Western Australia, Department of Economics.
    13. 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.
    14. Pankaj Sinha & Shalini Agnihotri, 2016. "Investigating Impact of Volatility Persistence and Information Inflow on Volatility of Stock Indices Using Bivarite GJR-GARCH," Global Business Review, International Management Institute, vol. 17(5), pages 1145-1161, October.
    15. Zhou, Yaping & Lu, Baoqun & Lv, Dayong & Ruan, Qingsong, 2019. "The informativeness of options-trading activities: Non-linear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    16. 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.
    17. Sinha, Pankaj & Agnihotri, Shalini, 2014. "Investigating impact of volatility persistence, market asymmetry and information inflow on volatility of stock indices using bivariate GJR-GARCH," MPRA Paper 58303, University Library of Munich, Germany.
    18. Witold Orzeszko, 2008. "Applying the Concept of Granger Causality to Detect Nonlinear Autodependencies in Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 139-146.
    19. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    20. Syed Hassan & Sarosh Shabi & Taufiq Choudhry, 2018. "US Economic Uncertainty, EU Business Cycles and the Global Financial Crisis," Working Papers 2018-05, Swansea University, School of Management.
    21. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    22. Agapova, Anna & Kaprielyan, Margarita, 2020. "Stock volatility and trading," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    23. Chaido Dritsaki, 2014. "The Dynamic Relationship between Stock Volatility and Trading Volume from the Athens Stock Exchange," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 3(3), pages 152-165.
    24. Rodrigo F. Aranda L. & Patricio Jaramillo G., 2010. "Non-linear Dynamics in the Chilean Stock Market: Evidence on Traded Volumes and Returns," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(3), pages 67-94, December.
    25. Anirut Pisedtasalasai & Abeyratna Gunasekarage, 2007. "Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(4), pages 277-297, December.
    26. 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.
    27. Azizi, Firouzeh & Moradi, Fahimeh, . "Linear and Nonlinear Causality between Stock Market Volatility and the Business Cycle in Iran," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(1).
    28. Christos Alexakis, 2011. "Financial Crisis, Ownership Effect and Investors Sentiment: Empirical Evidence from the Banking Sector in Greece," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 3-18.
    29. Xiaojie Xu & Yun Zhang, 2023. "Neural network predictions of the high-frequency CSI300 first distant futures trading volume," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 191-207, June.

  9. Paramsothy Silvapulle & Merran Evans, 1998. "Testing for serial correlation in the presence of dynamic heteroscedasticity," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 31-55.

    Cited by:

    1. Burkhard Raunig & Johann Scharler, 2007. "Money market uncertainty and retail interest rate fluctuations: A cross-country comparison," Economics working papers 2007-04, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Yoshiro Tsutsui & Kenjiro Hirayama, 2008. "How Fast Do Tokyo and New York Stock Exchanges Respond to Each Other?: An Analysis with High-Frequency Data," Discussion Papers in Economics and Business 08-32, Osaka University, Graduate School of Economics.
    3. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.
    4. L. G. Godfrey & M. R. Veal, 2000. "Alternative approaches to testing by variable addition," Econometric Reviews, Taylor & Francis Journals, vol. 19(2), pages 241-261.
    5. Manabu Asai & Michael McAleer, 2005. "Dynamic Asymmetric Leverage in Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 317-332.

  10. Param Silvapulle & Sisira Jayasuriya, 1994. "Testing For Philippines Rice Market Integration: A Multiple Cointegration Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(3), pages 369-380, September.

    Cited by:

    1. Fredoun Z. Ahmadi-Esfahani, 2006. "Testing the law of one price in the Chinese wholesale food markets," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 569-589.
    2. Burhan Ahmad & Ole Gjølberg, 2015. "Are Pakistan’s Rice Markets Integrated Domestically and With the International Markets?," SAGE Open, , vol. 5(3), pages 21582440155, July.
    3. Rashid, Shahidur & Gulati, Ashok & Cummings, Jr., Ralph, 2008. "Grain marketing parastatals in Asia: Why do they have to change now?," IFPRI book chapters, in: Rashid, Shahidur & Gulati, Ashok & Cummings, Jr., Ralph (ed.), From parastatals to private trade: Lessons from Asian agriculture, chapter 2, pages 10-47, International Food Policy Research Institute (IFPRI).
    4. Jacinto F. Fabiosa, 1999. "Institutional Impact of GATT: An Examination of Market Integration and Efficiency in the World Beef and Wheat Market under the GATT Regime," Center for Agricultural and Rural Development (CARD) Publications 99-wp218, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Reeder, Meyra M., 2000. "Asymmetric Prices: Implications on Trader’s Market Power in Philippine Rice," Philippine Journal of Development JPD 2000 Vol. XXVII No. 1, Philippine Institute for Development Studies.
    6. Mafimisebi, Taiwo & Oguntade, Adegboyega & Mafimisebi, Ojuotimi, 2010. "Re-Engineering Agriculture For Enhanced Performance Through Financing," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 15(29), pages 35-49.
    7. Ogundele, Femi, 2007. "Trade Liberalization And Import Demand For Rice In Nigeria: A Dynamic Modelling," Journal of Rural Economics and Development, University of Ibadan, Department of Agricultural Economics, vol. 16, pages 1-12.
    8. Kadir Eryigit & Suleyman Karaman, 2011. "Testing for spatial market integration and law of one price in Turkish wheat markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1519-1530, October.
    9. Zhang, Xiaoyu & Liu, Yongfu, 2020. "The dynamic impact of international agricultural commodity price fluctuation on Chinese agricultural commodity prices," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    10. McNew, Kevin & Fackler, Paul L., 1997. "Testing Market Equilibrium: Is Cointegration Informative?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-17, December.
    11. Adegbidi, Anselme & Dedehouanou, Houinsou & Kpenavoun, Sylvain & Lutz, Clemens, 2003. "Dix Ans de Libéralisation du Marché de Mais au Bénin," CDS Research Reports 200320, University of Groningen, Centre for Development Studies (CDS).
    12. Briones, Roehlano M., 2009. "Impact Assessment of National and Regional Policies Using the Philippine Regional General Equilibrium Model (PRGEM)," Discussion Papers DP 2009-03, Philippine Institute for Development Studies.
    13. Escobal, Javier, 2005. "The Role of Public Infraestructure in Market Development in Rural Peru," MPRA Paper 727, University Library of Munich, Germany.
    14. Yang, Jian & Leatham, David J., 1999. "Price Discovery In Wheat Futures Markets," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-12, August.
    15. Rashid, Shahidur & Cummings, Ralph Jr. & Gulati, Ashok, 2005. "Grain marketing parastatals in Asia," MTID discussion papers 80, International Food Policy Research Institute (IFPRI).
    16. Mohammad Ismail Hossain & Wim Verbeke, 2010. "Evaluation of Rice Markets Integration in Bangladesh," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(2), pages 77-96, Jul-Dec.
    17. Kuiper, W. Erno & Lutz, Clemens & van Tilburg, Aad, 2002. "Vertical Price Leadership on Local Maize Markets in Benin," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24886, European Association of Agricultural Economists.
    18. Roehlano M. Briones, 2009. "Impact Assessment of National and Regional Policies Using the Philippine Regional General Equilibrium Model," Development Economics Working Papers 22617, East Asian Bureau of Economic Research.
    19. Kim, Man-Keun & Tejeda, Hernan & Wright, Jeffrey, 2016. "Price Discovery in the U.S. Milled Rice Markets using a Cluster Analysis and Tournament," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235725, Agricultural and Applied Economics Association.
    20. Alejandro Nin, 2001. "Spatial Price Linkages and Imperfect Competition in Regional Cattle Markets," Documentos de Trabajo (working papers) 0401, Department of Economics - dECON.
    21. Jacinto F. Fabiosa, 1999. "Institutional Impact of GATT: An Examination of Market Integration and Efficiency in the World Beef and Wheat Market under the GATT Regime," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 99-wp218, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    22. José Angel Roldán Casas & Rafaela Dios-Palomares, 2004. "Contrastación de la ley de precio único en el mercado español del aceite de oliva," Economic Working Papers at Centro de Estudios Andaluces E2004/27, Centro de Estudios Andaluces.
    23. Julio César Alonso & Ana Isabel Gallego, 2010. "Integración espacial del mercado de la carne en las tres principales ciudades de Colombia: Evidencia de las series de precios," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 4(2), pages 5-28, December.
    24. Ian Coxhead & Agnes Rola & Kwansoo Kim, 2001. "How Do National Markets and Price Policies Affect Land Use at the Forest Margin? Evidence from the Philippines," Land Economics, University of Wisconsin Press, vol. 77(2), pages 250-267.
    25. Jolejole-Foreman, Maria Christina & Mallory, Mindy L., 2011. "Analyzing Market Price Transmission, Government Intervention and Weather Shocks for Rice Market in the Philippines," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103163, Agricultural and Applied Economics Association.
    26. Fabiosa, Jacinto F., 2000. "Impact Of Gatt In The Functioning Of Agricultural Markets: An Examination Of Market Integration And Efficiency In The World Beef And Wheat Market Under The Pre-Gatt And Post-Gatt Regimes," 2000 Annual meeting, July 30-August 2, Tampa, FL 21868, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  11. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.

    Cited by:

    1. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, Osaka University.
    2. Heaney, Richard & Sriananthakumar, Sivagowry, 2012. "Time-varying correlation between stock market returns and real estate returns," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 583-594.
    3. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

  12. Silvapulle, Paramsothy, 1992. "Testing for AR(p) against IMA(1, q) disturbances in the linear regression model," Economics Letters, Elsevier, vol. 40(3), pages 257-261, November.

    Cited by:

    1. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  13. Silvapulle, Paramsothy & King, Maxwell L, 1991. "Testing Moving Average against Autoregressive Disturbances in the Linear-Regression Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 329-335, July.

    Cited by:

    1. Begum, Nelufa & King, Maxwell L., 2005. "Most mean powerful test of a composite null against a composite alternative," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 1079-1104, June.
    2. Atukorala, Ranjani & Sriananthakumar, Sivagowry, 2015. "A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information," Economic Modelling, Elsevier, vol. 45(C), pages 169-174.
    3. Mckensi, C.R. & Mcaleer, M. & Gill, L., 1990. "Simple Procedures For Testing Autoregressive Versus Moving Average Errors In Regression Models," Papers 210, Australian National University - Department of Economics.
    4. Sriananthakumar, Sivagowry & King, Maxwell L., 2006. "A new approximate point optimal test of a composite null hypothesis," Journal of Econometrics, Elsevier, vol. 130(1), pages 101-122, January.
    5. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, Osaka University.
    6. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    7. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    8. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.
    9. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

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