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Jack Strauss

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Strauss, Jack, 2013. "Does housing drive state-level job growth? Building permits and consumer expectations forecast a state’s economic activity," Journal of Urban Economics, Elsevier, vol. 73(1), pages 77-93.

    Cited by:

    1. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    2. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    3. Bryan Perry & Kerk L Phillips & David E. Spencer, 2015. "State-Level Variation in the Real Wage Response to Monetary Policy," Annals of Economics and Finance, Society for AEF, vol. 16(1), pages 1-17, May.
    4. Tatjana JOVANOVIÆ & Aleksander ARISTOVNIK & Tereza ROGIÆ LUGARIÆ, 2016. "A Comparative Analysis Of Building Permits Procedures In Slovenia And Croatia: Development Of A Simplification Model," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 11(2), pages 5-23, May.
    5. Torben Klarl, 2016. "The nexus between housing and GDP re-visited: A wavelet coherence view on housing and GDP for the U.S," Economics Bulletin, AccessEcon, vol. 36(2), pages 704-720.

  2. Rapach, David E. & Strauss, Jack K., 2012. "Forecasting US state-level employment growth: An amalgamation approach," International Journal of Forecasting, Elsevier, vol. 28(2), pages 315-327.

    Cited by:

    1. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    2. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    3. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    4. Kopoin, Alexandre & Moran, Kevin & Paré, Jean-Pierre, 2013. "Forecasting regional GDP with factor models: How useful are national and international data?," Economics Letters, Elsevier, vol. 121(2), pages 267-270.

  3. Supanvanij, Janikan & Strauss, Jack, 2010. "Corporate derivative use and the composition of CEO compensation," Global Finance Journal, Elsevier, vol. 21(2), pages 170-185.

    Cited by:

    1. Al-Own, Bassam & Minhat, Marizah & Gao, Simon, 2018. "Stock options and credit default swaps in risk management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 200-214.
    2. Quang Nguyen & Trang Kim & Marina Papanastassiou, 2018. "Policy uncertainty, derivatives use, and firm-level FDI," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(1), pages 96-126, January.

  4. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.

    Cited by:

    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Yin, Anwen, 2015. "Forecasting and model averaging with structural breaks," ISU General Staff Papers 201501010800005727, Iowa State University, Department of Economics.
    3. Panopoulou, Ekaterini & Vrontos, Spyridon, 2015. "Hedge fund return predictability; To combine forecasts or combine information?," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 103-122.
    4. Alexander M. Chinco & Adam D. Clark-Joseph & Mao Ye, 2017. "Sparse Signals in the Cross-Section of Returns," NBER Working Papers 23933, National Bureau of Economic Research, Inc.
    5. Polimenis, Vassilis & Neokosmidis, Ioannis M., 2016. "The modified dividend–price ratio," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 31-38.
    6. Fabian Baetje & Lukas Menkhoff, 2016. "Equity Premium Prediction: Are Economic and Technical Indicators Unstable?," Discussion Papers of DIW Berlin 1552, DIW Berlin, German Institute for Economic Research.
    7. Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99R, Brandeis University, Department of Economics and International Businesss School, revised Aug 2016.
    8. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2012. "Structural Breaks and Predictive Regressions Models of South African Equity Premium," Working Papers 201209, University of Pretoria, Department of Economics.
    9. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: What gain for investors?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
    10. Jiahan Li & Ilias Tsiakas, 2016. "Equity Premium Prediction: The Role of Economic and Statistical Constraints," Working Paper series 16-25, Rimini Centre for Economic Analysis.
    11. Lutzenberger, Fabian T., 2014. "The predictability of aggregate returns on commodity futures," Review of Financial Economics, Elsevier, vol. 23(3), pages 120-130.
    12. Boriss Siliverstovs, 2016. "International Stock Return Predictability: On the Role of the United States in Bad and Good Times," KOF Working papers 16-408, KOF Swiss Economic Institute, ETH Zurich.
    13. Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick, 2016. "Nonlinear forecasting with many predictors using kernel ridge regression," International Journal of Forecasting, Elsevier, vol. 32(3), pages 736-753.
    14. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
    15. Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016. "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 81-94.
    16. Emmanuel Thompson & Ahmad M. Talafha, 2017. "Forecasting a Composite Indicator of Economic Activity in Ghana: A Comparison of Data Science Methods," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(4), pages 1-2.
    17. Amélie Charles & Olivier Darné & Jae H. Kim, 2016. "Stock Return Predictability: Evaluation based on prediction intervals," Working Papers hal-01295037, HAL.
    18. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    19. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    20. Nicholas Taylor, 2014. "The Economic Value of Volatility Forecasts: A Conditional Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 12(3), pages 433-478.
    21. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    22. Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
    23. Faria, Gonçalo & Verona, Fabio, 2016. "Forecasting stock market returns by summing the frequency-decomposed parts," Research Discussion Papers 29/2016, Bank of Finland.
    24. Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
    25. Gargano, Antonio & Pettenuzzo, Davide & Timmermann, Allan G, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
    26. Srivastava, Sasha & Lin, Hai & Premachandra, Inguruwatte M. & Roberts, Helen, 2016. "Global risk spillover and the predictability of sovereign CDS spread: International evidence," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 371-390.
    27. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    28. Gupta, Rangan & Hammoudeh, Shawkat & Modise, Mampho P. & Nguyen, Duc Khuong, 2014. "Can economic uncertainty, financial stress and consumer sentiments predict U.S. equity premium?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 367-378.
    29. Narayan, Paresh Kumar & Narayan, Seema & Thuraisamy, Kannan Sivananthan, 2014. "Can institutions and macroeconomic factors predict stock returns in emerging markets?," Emerging Markets Review, Elsevier, vol. 19(C), pages 77-95.
    30. Scholz, Michael & Nielsen, Jens Perch & Sperlich, Stefan, 2015. "Nonparametric prediction of stock returns based on yearly data: The long-term view," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 143-155.
    31. Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017. "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 183-203.
    32. Thorsten Lehnert & Gildas Blanchard & Dennis Bams, 2014. "Evaluating Option Pricing Model Performance Using Model Uncertainty," LSF Research Working Paper Series 14-06, Luxembourg School of Finance, University of Luxembourg.
    33. Lin, Qi, 2018. "Technical analysis and stock return predictability: An aligned approach," Journal of Financial Markets, Elsevier, vol. 38(C), pages 103-123.
    34. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2016. "Intraday volatility interaction between the crude oil and equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 1-13.
    35. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2014. "Sticky prices or economically-linked economies: The case of forecasting the Chinese stock market," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 95-109.
    36. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
    37. Weidong Tian & Qing Zhou, 2017. "Asset Pricing Model Uncertainty: A Tradeoff between Bias and Variance," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 289-324, June.
    38. Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015. "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, vol. 51(C), pages 599-608.
    39. Li, Yan & Ng, David T. & Swaminathan, Bhaskaran, 2013. "Predicting market returns using aggregate implied cost of capital," Journal of Financial Economics, Elsevier, vol. 110(2), pages 419-436.
    40. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    41. Konstantinidi, Eirini & Skiadopoulos, George, 2016. "How does the market variance risk premium vary over time? Evidence from S&P 500 variance swap investment returns," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 62-75.
    42. Davide Pettenuzzo & Zhiyuan Pan & Yudong Wang, 2017. "Forecasting Stock Returns: A Predictor-Constrained Approach," Working Papers 116, Brandeis University, Department of Economics and International Businesss School.
    43. Bätje, Fabian & Menkhoff, Lukas, 2016. "Predicting the equity premium via its components," Annual Conference 2016 (Augsburg): Demographic Change 145789, Verein für Socialpolitik / German Economic Association.
    44. Lin, Hai & Wang, Junbo & Wu, Chunchi, 2014. "Predictions of corporate bond excess returns," Journal of Financial Markets, Elsevier, vol. 21(C), pages 123-152.
    45. Hong, Yongmiao & Lin, Hai & Wu, Chunchi, 2012. "Are corporate bond market returns predictable?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2216-2232.
    46. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2015. "Are Indian stock returns predictable?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 506-531.
    47. Baltas, Nick & Karyampas, Dimitrios, 2018. "Forecasting the equity risk premium: The importance of regime-dependent evaluation," Journal of Financial Markets, Elsevier, vol. 38(C), pages 83-102.
    48. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan S., 2015. "Can governance quality predict stock market returns? New global evidence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 367-380.
    49. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2014. "Firm return volatility and economic gains: The role of oil prices," Economic Modelling, Elsevier, vol. 38(C), pages 142-151.
    50. Smales, Lee A., 2016. "Trading behavior in S&P 500 index futures," Review of Financial Economics, Elsevier, vol. 28(C), pages 46-55.
    51. Cem Cakmakli & Dick van Dijk, 2010. "Getting the Most out of Macroeconomic Information for Predicting Stock Returns and Volatility," Tinbergen Institute Discussion Papers 10-115/4, Tinbergen Institute.
    52. Liya Chu & Xue-Zhong He & Kai Li & Jun Tu, 2015. "Market Sentiment and Paradigm Shifts," Research Paper Series 356, Quantitative Finance Research Centre, University of Technology, Sydney.
    53. Zhang, Yaojie & Ma, Feng & Shi, Benshan & Huang, Dengshi, 2018. "Forecasting the prices of crude oil: An iterated combination approach," Energy Economics, Elsevier, vol. 70(C), pages 472-483.
    54. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    55. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    56. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.
    57. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Exchange Rates under Model and Parameter Uncertainty," CQE Working Papers 3214, Center for Quantitative Economics (CQE), University of Muenster.
    58. Peter Christoffersen & Mathieu Fournier & Kris Jacobs & Mehdi Karoui, 2015. "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk," CREATES Research Papers 2015-54, Department of Economics and Business Economics, Aarhus University.
    59. Gao, Lei & Han, Yufeng & Zhengzi Li, Sophia & Zhou, Guofu, 2018. "Market intraday momentum," Journal of Financial Economics, Elsevier, vol. 129(2), pages 394-414.
    60. Zhu, Min & Chen, Rui & Du, Ke & Wang, You-Gan, 2018. "Dividend growth and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 125-137.
    61. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.
    62. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    63. Iuliia Brushko, 2013. "Financial Signaling and Earnings Forecasts," CERGE-EI Working Papers wp498, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    64. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
    65. Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
    66. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2016. "Intraday return predictability, portfolio maximisation, and hedging," Emerging Markets Review, Elsevier, vol. 28(C), pages 105-116.
    67. Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016. "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 82-96.
    68. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2010. "Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules," Working Papers 2010-008, Federal Reserve Bank of St. Louis.
    69. Zhu, Min, 2013. "Return distribution predictability and its implications for portfolio selection," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 209-223.
    70. Afees A. Salisu & Raymond Swaray & Tirimisyu F. Oloko, 2017. "A multi-factor predictive model for oil-US stock nexus with persistence, endogeneity and conditional heteroscedasticity effects," Working Papers 024, Centre for Econometric and Allied Research, University of Ibadan.
    71. Hammerschmid, Regina & Lohre, Harald, 2018. "Regime shifts and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 138-160.
    72. Rohloff, Sebastian & Pierdzioch, Christian & Risse, Marian, 2014. "Fluctuations of the Real Exchange Rate, Real Interest Rates, and the Dynamics of the Price of Gold in a Small Open Economy," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100429, Verein für Socialpolitik / German Economic Association.
    73. Gupta, Rangan & Wohar, Mark, 2017. "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, vol. 62(C), pages 181-186.
    74. Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," ZEW Discussion Papers 15-029, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    75. Ma, Feng & Liu, Jing & Wahab, M.I.M. & Zhang, Yaojie, 2018. "Forecasting the aggregate oil price volatility in a data-rich environment," Economic Modelling, Elsevier, vol. 72(C), pages 320-332.
    76. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    77. Li, Jiahan & Chen, Weiye, 2014. "Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 996-1015.
    78. Taylor, Nicholas, 2012. "Measuring the economic value of loan advice," Economics Letters, Elsevier, vol. 117(3), pages 615-618.
    79. Strauss, Jack, 2013. "Does housing drive state-level job growth? Building permits and consumer expectations forecast a state’s economic activity," Journal of Urban Economics, Elsevier, vol. 73(1), pages 77-93.
    80. Haibin Xie & Shouyang Wang, 2015. "Risk-return trade-off, information diffusion, and U.S. stock market predictability," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-20, December.
    81. Erik Hillebrand & Tae-Hwy Lee & Marcelo Cunha Medeiros, 2012. "Let´s do it again: bagging equity premium predictors," Textos para discussão 604, Department of Economics PUC-Rio (Brazil).
    82. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    83. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Dynamic factors and asset pricing: International and further U.S. evidence," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 21-39.
    84. Nonejad, Nima, 2018. "Déjà vol oil? Predicting S&P 500 equity premium using crude oil price volatility: Evidence from old and recent time-series data," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 260-270.
    85. Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
    86. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    87. Sander, Magnus, 2018. "Market timing over the business cycle," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 130-145.
    88. Baetje, Fabian & Menkhoff, Lukas, 2013. "Macro determinants of U.S. stock market risk premia in bull and bear markets," Hannover Economic Papers (HEP) dp-520, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    89. Peter Reinhard Hansen & Allan Timmermann, 2012. "Choice of Sample Split in Out-of-Sample Forecast Evaluation," CREATES Research Papers 2012-43, Department of Economics and Business Economics, Aarhus University.
    90. Leoni Eleni Oikonomikou, 2016. "Comparing the market risk premia forecasts in JSE and NYSE equity markets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 203, Courant Research Centre PEG.
    91. Naser, Hanan & Alaali, Fatema, 2015. "Can Oil Prices Help Predict US Stock Market Returns: An Evidence Using a DMA Approach," MPRA Paper 65295, University Library of Munich, Germany, revised 25 Jun 2015.
    92. Francis X. Diebold, 2012. "Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold-Mariano Tests," PIER Working Paper Archive 12-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    93. Thomas Trier Bjerring & Kourosh Marjani Rasmussen & Alex Weissensteiner, 2018. "Portfolio selection under supply chain predictability," Computational Management Science, Springer, vol. 15(2), pages 139-159, June.
    94. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2016. "Forecasting stock volatility using after-hour information: Evidence from the Australian Stock Exchange," Economic Modelling, Elsevier, vol. 52(PB), pages 592-608.
    95. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
    96. Massacci, Daniele, 2014. "A two-regime threshold model with conditional skewed Student t distributions for stock returns," Economic Modelling, Elsevier, vol. 43(C), pages 9-20.
    97. Bakshi, Gurdip & Panayotov, George, 2013. "Predictability of currency carry trades and asset pricing implications," Journal of Financial Economics, Elsevier, vol. 110(1), pages 139-163.
    98. Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
    99. Sharma, Susan Sunila, 2016. "Can consumer price index predict gold price returns?," Economic Modelling, Elsevier, vol. 55(C), pages 269-278.
    100. Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," MPRA Paper 58956, University Library of Munich, Germany.
    101. Ruan, Xinfeng & Zhang, Jin E., 2018. "Risk-neutral moments in the crude oil market," Energy Economics, Elsevier, vol. 72(C), pages 583-600.
    102. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
    103. Jack Strauss, 2017. "Do High Speed Railways Lead to Urban Economic Growth in China?," Proceedings of Economics and Finance Conferences 4807677, International Institute of Social and Economic Sciences.
    104. Wang, Yudong & Liu, Li & Ma, Feng & Wu, Chongfeng, 2016. "What the investors need to know about forecasting oil futures return volatility," Energy Economics, Elsevier, vol. 57(C), pages 128-139.
    105. Lawrenz, Jochen & Zorn, Josef, 2017. "Predicting international stock returns with conditional price-to-fundamental ratios," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 159-184.
    106. Liu, Xiaochun, 2015. "Modeling time-varying skewness via decomposition for out-of-sample forecast," International Journal of Forecasting, Elsevier, vol. 31(2), pages 296-311.
    107. Tu, Jun & Zhou, Guofu, 2010. "Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(04), pages 959-986, August.
    108. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2014. "Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities," Tinbergen Institute Discussion Papers 14-090/III, Tinbergen Institute.
    109. Kruttli, Mathias & Patton, Andrew J & Ramadorai, Tarun, 2014. "The Impact of Hedge Funds on Asset Markets," CEPR Discussion Papers 10151, C.E.P.R. Discussion Papers.
    110. Guanhao Feng & Jingyu He & Nicholas G. Polson, 2018. "Deep Learning for Predicting Asset Returns," Papers 1804.09314, arXiv.org, revised Apr 2018.
    111. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    112. Çakmaklı, Cem & van Dijk, Dick, 2016. "Getting the most out of macroeconomic information for predicting excess stock returns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 650-668.
    113. Davide Pettenuzzo & Allan Timmermann & Rossen Valkanov, 2013. "Forecasting Stock Returns under Economic Constraints," Working Papers 57, Brandeis University, Department of Economics and International Businesss School.
    114. Kolev, Gueorgui I. & Karapandza, Rasa, 2017. "Out-of-sample equity premium predictability and sample split–invariant inference," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 188-201.
    115. Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018. "Momentum of return predictability," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 141-156.
    116. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2018. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," Working Papers 201830, University of Pretoria, Department of Economics.
    117. Hai Lin & Daniel Quill & Henk Berkman, 2016. "Information diffusion and the predictability of New Zealand stock market returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 749-785, September.
    118. Zhu, Xiaoneng & Zhu, Jie, 2013. "Predicting stock returns: A regime-switching combination approach and economic links," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4120-4133.
    119. Biswas, Anindya, 2014. "The output gap and expected security returns," Review of Financial Economics, Elsevier, vol. 23(3), pages 131-140.
    120. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
    121. Narayan, Paresh Kumar & Ahmed, Huson Ali & Narayan, Seema, 2017. "Can investors gain from investing in certain sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 160-177.
    122. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    123. Narayan, Paresh Kumar & Narayan, Seema & Westerlund, Joakim, 2015. "Do order imbalances predict Chinese stock returns? New evidence from intraday data," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 136-151.
    124. Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2017. "Predicting the Equity Market with Option Implied Variables," Hannover Economic Papers (HEP) dp-619, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    125. Kuo, Chen-Yin, 2016. "Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory," Economic Modelling, Elsevier, vol. 52(PB), pages 772-789.
    126. Baur, Dirk G. & Löffler, Gunter, 2015. "Predicting the equity premium with the demand for gold coins and bars," Finance Research Letters, Elsevier, vol. 13(C), pages 172-178.
    127. Cenesizoglu, Tolga & Timmermann, Allan, 2012. "Do return prediction models add economic value?," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2974-2987.
    128. Chao, Shih-Wei, 2016. "Do economic variables improve bond return volatility forecasts?," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 10-26.
    129. Chen, Jian & Jiang, Fuwei & Li, Hongyi & Xu, Weidong, 2016. "Chinese stock market volatility and the role of U.S. economic variables," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 70-83.
    130. Salisu, Afees A. & Isah, Kazeem O., 2017. "Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach," Economic Modelling, Elsevier, vol. 66(C), pages 258-271.
    131. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Westerlund, Joakim, 2016. "Are Islamic stock returns predictable? A global perspective," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 210-223.
    132. Li Guo & Yubo Tao & Jun Tu, 2017. "Media Network and Return Predictability," Papers 1703.02715, arXiv.org, revised Dec 2017.
    133. Marie-Hélène Gagnon & Gabriel Power & Dominique Toupin, 2018. "Forecasting International Index Returns using Option-implied Variables," Cahiers de recherche 1807, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    134. Møller, Stig V. & Sander, Magnus, 2017. "Dividends, earnings, and predictability," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 153-163.
    135. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    136. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, Elsevier.
    137. Bakshi, Gurdip & Panayotov, George & Skoulakis, Georgios, 2011. "Improving the predictability of real economic activity and asset returns with forward variances inferred from option portfolios," Journal of Financial Economics, Elsevier, vol. 100(3), pages 475-495, June.
    138. Chu‐An Liu & Biing‐Shen Kuo, 2016. "Model averaging in predictive regressions," Econometrics Journal, Royal Economic Society, vol. 19(2), pages 203-231, June.
    139. Narayan, Paresh Kumar & Sharma, Susan Sunila & Phan, Dinh Hoang Bach, 2016. "Asset price bubbles and economic welfare," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 139-148.
    140. Nuno Silva, 2015. "Industry based equity premium forecasts," GEMF Working Papers 2015-19, GEMF, Faculty of Economics, University of Coimbra.
    141. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    142. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01317974, HAL.
    143. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    144. Byrne, Joseph & Fu, Rong, 2016. "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper 75366, University Library of Munich, Germany.
    145. Goodness C. Aye Author-Email: goodness.aye@gmail.com & Rangan Gupta, 2016. "Does Debt Ceiling and Government Shutdown Help in Forecasting the US Equity Risk Premium?," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(3), pages 273-291, June.
    146. Jiahan Li & Ilias Tsiakas & Wei Wang, 2015. "Predicting Exchange Rates Out of Sample: Can Economic Fundamentals Beat the Random Walk?," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 13(2), pages 293-341.
    147. Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
    148. Guo, Biao & Han, Qian & Lin, Hai, 2015. "Forecasting the Term Structure of Implied Volatilities," Working Paper Series 6189, Victoria University of Wellington, School of Economics and Finance.
    149. Feng, Jiabao & Wang, Yudong & Yin, Libo, 2017. "Oil volatility risk and stock market volatility predictability: Evidence from G7 countries," Energy Economics, Elsevier, vol. 68(C), pages 240-254.
    150. Michael S. O'Doherty, 2012. "On the Conditional Risk and Performance of Financially Distressed Stocks," Management Science, INFORMS, vol. 58(8), pages 1502-1520, August.
    151. Westerlund, Joakim & Narayan, Paresh Kumar, 2012. "Does the choice of estimator matter when forecasting returns?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2632-2640.
    152. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    153. Ana Sequeira, 2013. "Predicting aggregate returns using valuation ratios out-of-sample," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    154. Warusawitharana, Missaka, 2013. "The expected real return to equity," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1929-1946.
    155. Alexandru MANOLE & Madalina-Gabriela ANGHEL & Ihab Jweida SJ JWEIDA & Radu STOICA & Emilia STANCIU, 2016. "Structural analysis of foreign trade of Romania," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(12), pages 21-31, December.
    156. Patrick Bielstein, 2018. "International asset allocation using the market implied cost of capital," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(1), pages 17-51, February.
    157. Liu, Xiaochun, 2017. "Can macroeconomic dynamics explain the time variation of risk–return trade-offs in the U.S. financial market?," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 275-293.
    158. Tom Engsted & Stig V. Møller & Magnus Sander, 2013. "Bond return predictability in expansions and recessions," CREATES Research Papers 2013-13, Department of Economics and Business Economics, Aarhus University.
    159. Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017. "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, vol. 158(C), pages 41-46.
    160. Gargano, Antonio & Timmermann, Allan, 2014. "Forecasting commodity price indexes using macroeconomic and financial predictors," International Journal of Forecasting, Elsevier, vol. 30(3), pages 825-843.
    161. Nguyet Nguyen, 2018. "Hidden Markov Model for Stock Trading," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 6(2), pages 1-17, March.
    162. Zhou, Guofu, 2010. "How much stock return predictability can we expect from an asset pricing model?," Economics Letters, Elsevier, vol. 108(2), pages 184-186, August.
    163. Xie Haibin & Zhou Mo & Yu Mei & Hu Yi, 2014. "Forecasting the Crude Oil Price with Extreme Values," Journal of Systems Science and Information, De Gruyter, vol. 2(3), pages 193-205, June.
    164. Michael Scholz & Jens Perch Nielsen & Stefan Sperlich, 2012. "Nonparametric prediction of stock returns guided by prior knowledge," Graz Economics Papers 2012-02, University of Graz, Department of Economics.
    165. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
    166. Stig V. Møller & Jesper Rangvid, 2012. "End-of-the-year economic growth and time-varying expected returns," CREATES Research Papers 2012-42, Department of Economics and Business Economics, Aarhus University.
    167. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Does investor attention matter? The attention-return relationships in FX markets," Economic Modelling, Elsevier, vol. 68(C), pages 644-660.
    168. Rapach, David E. & Ringgenberg, Matthew C. & Zhou, Guofu, 2016. "Short interest and aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 121(1), pages 46-65.
    169. Gunter Löffler, 2013. "Tower Building And Stock Market Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(3), pages 413-434, September.
    170. Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.
    171. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.
    172. Huang, Henry H. & Wang, Kent & Wang, Zhanglong, 2016. "A test of efficiency for the S&P 500 index option market using the generalized spectrum method," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 52-70.
    173. Turtle, H.J. & Wang, Kainan, 2016. "The benefits of improved covariance estimation," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 233-246.
    174. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Equity Premia using Bayesian Dynamic Model Averaging," CQE Working Papers 2914, Center for Quantitative Economics (CQE), University of Muenster.

  5. David Rapach & Jack Strauss, 2010. "Bagging or Combining (or Both)? An Analysis Based on Forecasting U.S. Employment Growth," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 511-533.

    Cited by:

    1. Burcu Gurcihan Yunculer & Gonul Sengul & Arzu Yavuz, 2014. "A Quest for Leading Indicators of the Turkish Unemployment Rate," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(1), pages 23-45.
    2. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    3. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    4. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    5. Tae-Hwy Lee & Huiyu Huang, 2014. "Forecasting Value-at-Risk Using High Frequency Information," Working Papers 201409, University of California at Riverside, Department of Economics.
    6. Strauss, Jack, 2013. "Does housing drive state-level job growth? Building permits and consumer expectations forecast a state’s economic activity," Journal of Urban Economics, Elsevier, vol. 73(1), pages 77-93.
    7. Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
    8. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
    9. Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015. "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, vol. 160(C), pages 66-79.
    10. Rapach, David E. & Strauss, Jack K., 2012. "Forecasting US state-level employment growth: An amalgamation approach," International Journal of Forecasting, Elsevier, vol. 28(2), pages 315-327.
    11. Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski, Economic Research Department.
    12. Rangan Gupta & Mampho P. Modise & Josine Uwilingiye, 2011. "Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors," Working Papers 201122, University of Pretoria, Department of Economics.
    13. Kopoin, Alexandre & Moran, Kevin & Paré, Jean-Pierre, 2013. "Forecasting regional GDP with factor models: How useful are national and international data?," Economics Letters, Elsevier, vol. 121(2), pages 267-270.

  6. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.

    Cited by:

    1. Zietz, Joachim & Traian, Anca, 2014. "When was the U.S. housing downturn predictable? A comparison of univariate forecasting methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 271-281.
    2. Charles Rahal, 2015. "House Price Forecasts with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    3. Plakandaras, Vasilios & Gupta, Rangan & Papadimitriou, Theophilos & Gogas, Periklis, 2014. "Forecasting the U.S. Real House Price Index," DUTH Research Papers in Economics 10-2014, Democritus University of Thrace, Department of Economics.
    4. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    5. Wendy Nyakabawo & Stephen M. Miller & Mehmet Balcilar & Sonali Das & Rangan Gupta, 2013. "Temporal Causality between House Prices and Output in the U. S.: A Bootstrap Rolling-Window Approach," Working Papers 201329, University of Pretoria, Department of Economics.
    6. an de Meulen, Philipp & Bauer, Thomas K. & Micheli, Martin & Schmidt, Torsten & Kiefer, Michael & Wilke, Lars-Holger & Feuerschütte, Sven, 2011. "Ein hedonischer Immobilienpreisindex auf Basis von Internetdaten 2007-2011," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69972, July.
    7. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2011. "Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 16(1), pages 1-20, August.
    8. Zhang, Yanbing & Hua, Xiuping & Zhao, Liang, 2012. "Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010," Economic Modelling, Elsevier, vol. 29(6), pages 2349-2361.
    9. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.
    10. Bork, Lasse & Møller, Stig V., 2015. "Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection," International Journal of Forecasting, Elsevier, vol. 31(1), pages 63-78.
    11. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    12. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
    13. Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
    14. Mehmet Balcilar & Rangan Gupta & Zahra Shah, 2010. "An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa," Working Papers 201008, University of Pretoria, Department of Economics.
    15. Goodness C. Aye & Rangan Gupta, 2013. "Forecasting Real House Price of the U.S.: An Analysis Covering 1890 to 2012," Working Papers 201362, University of Pretoria, Department of Economics.
    16. Strauss, Jack, 2013. "Does housing drive state-level job growth? Building permits and consumer expectations forecast a state’s economic activity," Journal of Urban Economics, Elsevier, vol. 73(1), pages 77-93.
    17. Sonali Das & Rangan Gupta & Alain Kabundi, 2008. "Could We Have Predicted The Recent Downturn In The South African Housing Market?," Working Papers 200831, University of Pretoria, Department of Economics.
    18. Clark, Steven P. & Coggin, T. Daniel, 2011. "Was there a U.S. house price bubble? An econometric analysis using national and regional panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 189-200, May.
    19. Gupta, Rangan & Kabundi, Alain & Miller, Stephen M., 2011. "Forecasting the US real house price index: Structural and non-structural models with and without fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 2013-2021, July.
    20. Akbar, Delwar & Rolfe, John & Kabir, S.M. Zobaidul, 2013. "Predicting impacts of major projects on housing prices in resource based towns with a case study application to Gladstone, Australia," Resources Policy, Elsevier, vol. 38(4), pages 481-489.
    21. MeiChi Huang, 2017. "Vulnerabilities to housing bubbles: Evidence from linkages between housing prices and income fundamentals," International Finance, Wiley Blackwell, vol. 20(1), pages 64-91, March.
    22. Meichi Huang, 2013. "Housing bubble implications: The perspective of housing price predictability," Economics Bulletin, AccessEcon, vol. 33(1), pages 586-596.
    23. Christina Christou & Rangan Gupta & Christis Hassapis, 2016. "Does Economic Policy Uncertainty Forecast Real Housing Returns in a Panel of OECD Countries? A Bayesian Approach," Working Papers 201637, University of Pretoria, Department of Economics.
    24. Kouwenberg, Roy & Zwinkels, Remco, 2014. "Forecasting the US housing market," International Journal of Forecasting, Elsevier, vol. 30(3), pages 415-425.
    25. Wei, Yu & Cao, Yang, 2017. "Forecasting house prices using dynamic model averaging approach: Evidence from China," Economic Modelling, Elsevier, vol. 61(C), pages 147-155.
    26. Rangan Gupta & Stephen Miller, 2012. "The Time-Series Properties of House Prices: A Case Study of the Southern California Market," The Journal of Real Estate Finance and Economics, Springer, vol. 44(3), pages 339-361, April.
    27. Kapinos, Pavel & Gurley-Calvez, Tami & Kapinos, Kandice, 2016. "(Un)expected housing price changes: Identifying the drivers of small business finance," Journal of Economics and Business, Elsevier, vol. 84(C), pages 79-94.
    28. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05r, Department of Economics, University of Birmingham.
    29. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    30. Huang, MeiChi & Chiang, Hsiu-Hsuan, 2017. "An early alarm system for housing bubbles," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 34-49.
    31. Rangan Gupta, 2012. "Forecasting House Prices for the Four Census Regions and the Aggregate US Economy: The Role of a Data-Rich Environment," Working Papers 201214, University of Pretoria, Department of Economics.
    32. Rubia, Antonio & Sanchis-Marco, Lidia, 2013. "On downside risk predictability through liquidity and trading activity: A dynamic quantile approach," International Journal of Forecasting, Elsevier, vol. 29(1), pages 202-219.
    33. Robert I. Webb & Jian Yang & Jin Zhang, 2016. "Price Jump Risk in the US Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 53(1), pages 29-49, July.
    34. MeiChi Huang, 2014. "Monetary policy implications of housing shift-contagion across regional markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 589-608, October.
    35. Anenberg, Elliot & Laufer, Steven, 2014. "Using Data on Seller Behavior to Forecast Short-run House Price Changes," Finance and Economics Discussion Series 2014-16, Board of Governors of the Federal Reserve System (U.S.).

  7. David E. Rapach & Jack K. Strauss, 2008. "Forecasting US employment growth using forecast combining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 75-93.

    Cited by:

    1. Massimiliano Kaucic, 2009. "Predicting EU Energy Industry Excess Returns on EU Market Index via a Constrained Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 173-193, September.
    2. Edda Claus, 2011. "Seven Leading Indexes of New Zealand Employment," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 76-89, March.
    3. Burcu Gurcihan Yunculer & Gonul Sengul & Arzu Yavuz, 2014. "A Quest for Leading Indicators of the Turkish Unemployment Rate," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(1), pages 23-45.
    4. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2011. "Forecast Evaluation in Call Centers: Combined Forecasts, Flexible Loss Functions and Economic Criteria," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1109, Universitá degli Studi di Milano.
    5. Artur Tarassow, 2017. "Forecasting growth of U.S. aggregate and household-sector M2 after 2000 using economic uncertainty measures," Macroeconomics and Finance Series 201702, University of Hamburg, Department of Socioeconomics.
    6. Karimi, M. & Karami, H. & Gholami, M. & Khatibzadehazad, H. & Moslemi, N., 2018. "Priority index considering temperature and date proximity for selection of similar days in knowledge-based short term load forecasting method," Energy, Elsevier, vol. 144(C), pages 928-940.
    7. Zhang, Xinyu & Lu, Zudi & Zou, Guohua, 2013. "Adaptively combined forecasting for discrete response time series," Journal of Econometrics, Elsevier, vol. 176(1), pages 80-91.
    8. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    9. Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
    10. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    11. Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
    12. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
    13. N.D. Geomelos & E. Xideas, 2014. "Forecasting spot prices in bulk shipping using multivariate and univariate models," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-37, December.
    14. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
    15. Mayr, Johannes, 2010. "Forecasting Macroeconomic Aggregates," Munich Dissertations in Economics 11140, University of Munich, Department of Economics.
    16. Rapach, David E. & Strauss, Jack K., 2012. "Forecasting US state-level employment growth: An amalgamation approach," International Journal of Forecasting, Elsevier, vol. 28(2), pages 315-327.
    17. Nikolaos D. Geomelos & Evangelos Xideas, 2014. "Ex-Post and Ex-Ante Forecasts of Spot Prices in Bulk Shipping in a Period of Economic Crisis using Simultaneous Equation Models," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 64(2), pages 14-39, April-Jun.

  8. David E. Rapach & Jack K. Strauss, 2008. "Structural breaks and GARCH models of exchange rate volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 65-90.

    Cited by:

    1. Nasr, Adnen Ben & Lux, Thomas & Ajm, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching," Economics Working Papers 2014-07, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Amado Peiró, 2016. "Changes in the Unconditional Variance and Autoregressive Conditional Heteroscedasticity," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1338-1343.
    3. Andrew Phiri, 2018. "Nonlinear Relationship between Exchange Rate Volatility and Economic Growth," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 61(3), pages 15-38.
    4. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    5. Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, January.
    6. Ghassan, Hassan B. & Alhajhoj, Hassan R., 2012. "أثر تحرير سوق رأس المال على التذبذب في سوق الأسهم السعودي
      [Effect of Capital Market Liberalization on Volatility of TASI]
      ," MPRA Paper 54470, University Library of Munich, Germany, revised 2012.
    7. F. Dilvin Taşkin & Efe Çağlar Çağlı & Umut Halaç, 2016. "The impact of oil price shocks on the volatility of the Turkish stock market," International Journal of Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 1-23.
    8. Czech, Katarzyna, 2016. "Structural Changes in Wheat Market," Problems of World Agriculture / Problemy Rolnictwa Światowego, WydziaÅ‚ Nauk Ekonomicznych, Uniwersytet Warszawski, vol. 0(Number 4), pages 1-7, December.
    9. Xu, Ke-Li, 2013. "Power monotonicity in detecting volatility levels change," Economics Letters, Elsevier, vol. 121(1), pages 64-69.
    10. WenShwo Fang & Stephen M. Miller & ChunShen Lee, 2007. "Cross-Country Evidence on Output Growth Volatility: Nonstationary Variance and GARCH Models," Working papers 2007-20, University of Connecticut, Department of Economics, revised Mar 2008.
    11. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    12. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.
    13. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.
    14. 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.
    15. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2015. "Shifts in volatility driven by large stock market shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 130-147.
    16. Go Tamakoshi & Shigeyuki Hamori, 2014. "Greek sovereign bond index, volatility, and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 687-697, October.
    17. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    18. Ewing, Bradley T. & Malik, Farooq, 2013. "Volatility transmission between gold and oil futures under structural breaks," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 113-121.
    19. Chi Keung Marco Lau & Mehmet Huseyin Bilgin, 2013. "Hedging with Chinese Aluminum Futures: International Evidence with Return and Volatility Spillover Indices Under Structural Breaks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S1), pages 37-48, January.
    20. Adnen Ben Nasr & Ahdi N. Ajmi & Rangan Gupta, 2013. "Modeling the Volatility of the Dow Jones Islamic Market World Index Using a Fractionally Integrated Time Varying GARCH (FITVGARCH) Model," Working Papers 201357, University of Pretoria, Department of Economics.
    21. Ewing, Bradley T. & Malik, Farooq, 2017. "Modelling asymmetric volatility in oil prices under structural breaks," Energy Economics, Elsevier, vol. 63(C), pages 227-233.
    22. Korkmaz, Turhan & Çevik, Emrah İ. & Atukeren, Erdal, 2012. "Return and volatility spillovers among CIVETS stock markets," Emerging Markets Review, Elsevier, vol. 13(2), pages 230-252.
    23. Walther, Thomas & Klein, Tony & Thu, Hien Pham & Piontek, Krzysztof, 2017. "True or spurious long memory in European non-EMU currencies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 217-230.
    24. Arouri, Mohamed El Hédi & Lahiani, Amine & Lévy, Aldo & Nguyen, Duc Khuong, 2012. "Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models," Energy Economics, Elsevier, vol. 34(1), pages 283-293.
    25. Bruce Q. Budd, 2016. "Structural break tests and the Greek sovereign debt crisis: revisited," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(3), pages 607-622, July.
    26. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    27. Mihaela Craioveanu & Eric Hillebrand, 2012. "Level changes in volatility models," Annals of Finance, Springer, vol. 8(2), pages 277-308, May.
    28. Jorge Mario Uribe & Natalia Restrepo López, 2015. "Dinámica del tipo de cambio, quiebre estructural e intervenciones de política en Colombia," REVISTA ECOS DE ECONOMÍA, UNIVERSIDAD EAFIT, vol. 19(41), pages 24-44, December.
    29. Patrick Kanda & Michael Burke & Rangan Gupta, 2017. "Time-Varying Causality between Equity and Currency Returns in the United Kingdom: Evidence from Over Two Centuries of Data," Working Papers 201778, University of Pretoria, Department of Economics.
    30. Ewing, Bradley T. & Malik, Farooq, 2016. "Volatility spillovers between oil prices and the stock market under structural breaks," Global Finance Journal, Elsevier, vol. 29(C), pages 12-23.
    31. Ali Babikir & Rangan Gupta & Chance Mwabutwa & Emmanuel Owusu-Sekyere, 2010. "Structural Breaks and GARCH Models of Stock Return Volatility: The Case of South Africa," Working Papers 201030, University of Pretoria, Department of Economics.
    32. Ye Fan & Zhicheng Zhang & Xiaoli Zhao & Haitao Yin, 2018. "Interaction between Industrial Policy and Stock Price Volatility: Evidence from China’s Power Market Reform," Sustainability, MDPI, Open Access Journal, vol. 10(6), pages 1-19, May.
    33. Grote, Claudia & Bertram, Philip, 2015. "A comparative Study of Volatility Breaks," Hannover Economic Papers (HEP) dp-558, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    34. Fagiani, Riccardo & Hakvoort, Rudi, 2014. "The role of regulatory uncertainty in certificate markets: A case study of the Swedish/Norwegian market," Energy Policy, Elsevier, vol. 65(C), pages 608-618.
    35. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    36. Igor LEBRUN & Ludovic DOBBELAERE, "undated". "A Macro-econometric Model for the Economy of Lesotho," EcoMod2010 259600102, EcoMod.
    37. Bruce Q. Budd, 2018. "The transmission of international stock market volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 155-173, January.
    38. Osborne, Matthew, 2016. "Monetary policy and volatility in the sterling money market," Bank of England working papers 588, Bank of England.
    39. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Affect the Dollar-Pound Exchange Rate? A Nonparametric Causality-in-Quantiles Analysis," Working Papers 201615, University of Pretoria, Department of Economics.
    40. Fourie, Justin & Pretorius, Theuns & Harvey, Rhett & Henrico, Van Niekerk & Phiri, Andrew, 2016. "Nonlinear relationship between exchange rate volatility and economic growth: A South African perspective," MPRA Paper 74671, University Library of Munich, Germany.
    41. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    42. Lanne, Markku & Ahoniemi, Katja, 2008. "Implied Volatility with Time-Varying Regime Probabilities," MPRA Paper 23721, University Library of Munich, Germany.
    43. Mensi, Walid & Hammoudeh, Shawkat & Kang, Sang Hoon, 2015. "Precious metals, cereal, oil and stock market linkages and portfolio risk management: Evidence from Saudi Arabia," Economic Modelling, Elsevier, vol. 51(C), pages 340-358.
    44. Maghyereh, Aktham I. & Awartani, Basel, 2016. "Dynamic transmissions between Sukuk and bond markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 246-261.
    45. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.
    46. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    47. Priyanga Dilini Talagala & Rob J Hyndman & Kate Smith-Miles & Sevvandi Kandanaarachchi & Mario A Munoz, 2018. "Anomaly detection in streaming nonstationary temporal data," Monash Econometrics and Business Statistics Working Papers 4/18, Monash University, Department of Econometrics and Business Statistics.
    48. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    49. Alessandra Pasqualina Viola & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Wagner Piazza Gaglianone, 2017. "Predicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression," Working Papers Series 466, Central Bank of Brazil, Research Department.
    50. Chevallier, Julien, 2011. "Detecting instability in the volatility of carbon prices," Energy Economics, Elsevier, vol. 33(1), pages 99-110, January.
    51. Adams, Zeno & Füss, Roland & Glück, Thorsten, 2017. "Are correlations constant? Empirical and theoretical results on popular correlation models in finance," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 9-24.
    52. Donald Lien & Chongfeng Wu & Li Yang & Chunyang Zhou, 2013. "Dynamic and Asymmetric Dependences Between Chinese Yuan and Other Asia‐Pacific Currencies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 696-723, August.
    53. Broto, Carmen, 2011. "Inflation targeting in Latin America: Empirical analysis using GARCH models," Economic Modelling, Elsevier, vol. 28(3), pages 1424-1434, May.
    54. Ke Yang & Langnan Chen, 2014. "Realized Volatility Forecast: Structural Breaks, Long Memory, Asymmetry, and Day-of-the-Week Effect," International Review of Finance, International Review of Finance Ltd., vol. 14(3), pages 345-392, September.
    55. Gordon J. Ross, 2012. "Modeling Financial Volatility in the Presence of Abrupt Changes," Papers 1212.6016, arXiv.org.
    56. Liu, Zhicao & Ye, Yong & Ma, Feng & Liu, Jing, 2017. "Can economic policy uncertainty help to forecast the volatility: A multifractal perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 181-188.
    57. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.
    58. Sinem Derindere KOSEOGLU & Emrah Ismail CEVIK, 2013. "Testing for Causality in Mean and Variance between the Stock Market and the Foreign Exchange Market: An Application to the Major Central and Eastern European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(1), pages 65-86, March.
    59. Ross, Gordon J., 2013. "Modelling financial volatility in the presence of abrupt changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 350-360.
    60. Okur, Mustafa & Cevik, Emrah Ismail, 2013. "Testing intraday volatility spillovers in Turkish capital markets: evidence from ISE," MPRA Paper 71477, University Library of Munich, Germany, revised 2013.
    61. Hasanov, Akram Shavkatovich & Poon, Wai Ching & Al-Freedi, Ajab & Heng, Zin Yau, 2018. "Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks: A comparison of alternative distribution functions," Energy Economics, Elsevier, vol. 70(C), pages 307-333.
    62. Frugier, Alain, 2016. "Returns, volatility and investor sentiment: Evidence from European stock markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 45-55.
    63. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    64. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.

  9. Jack Strauss & Mark E. Wohar, 2007. "Domestic–foreign Interest Rate Differentials: Near Unit Roots and Symmetric Threshold Models," Southern Economic Journal, Southern Economic Association, vol. 73(3), pages 814-829, January.

    Cited by:

    1. Ahmad Zubaidi Baharumshah & Venus Khim-Sen Liew & Chan Tze Haw, 2009. "The Real Interest Rate Differential: International Evidence Based On Non-Linear Unit Root Tests," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 83-94, January.

  10. Hon, Mark T. & Strauss, Jack K. & Yong, Soo-Keong, 2007. "Deconstructing the Nasdaq bubble: A look at contagion across international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 213-230, July.

    Cited by:

    1. Leitao, Joao & Armada, Manuel Rocha & Ferreira, Joaaquim, 2012. "Corruption and Co-Movements in European Listed Sport Companies: Did Calciocaos really matter?," MPRA Paper 42474, University Library of Munich, Germany.
    2. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2013. "Estimating non-linear serial and cross-interdependence between financial assets," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 837-846.
    3. Miralles-Quirós, José Luis & Miralles-Quirós, María del Mar, 2017. "The Copula ADCC-GARCH model can help PIIGS to fly," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 1-12.
    4. Bianconi, Marcelo & Chen, Richard & Yoshino, Joe A., 2013. "Firm value, the Sarbanes-Oxley Act and cross-listing in the U.S., Germany and Hong Kong destinations," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 25-44.
    5. Yen-Sen Ni & Jen-Tsai Lee & Yi-Ching Liao, 2013. "Do variable length moving average trading rules matter during a financial crisis period?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 135-141, February.
    6. Panagiotis Papaioannou & Thomas Dionysopoulos & Dietmar Janetzko & Constantinos Siettos, 2016. "S&P500 Forecasting and Trading using Convolution Analysis of Major Asset Classes," Papers 1612.04370, arXiv.org.
    7. Renée Fry-McKibbin & Cody Hsiao & Chrismin Tang, 2014. "Contagion and Global Financial Crises: Lessons from Nine Crisis Episodes," Open Economies Review, Springer, vol. 25(3), pages 521-570, July.
    8. Bensafta, Kamel Malik & Semedo, Gervasio, 2009. "De la transmission de la volatilité à la contagion entre marchés boursiers : l’éclairage d’un modèle VAR non linéaire avec bris structurels en variance," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(1), pages 13-76, mars.
    9. Kenourgios, Dimitris & Samitas, Aristeidis & Paltalidis, Nikos, 2011. "Financial crises and stock market contagion in a multivariate time-varying asymmetric framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 92-106, February.
    10. Panagiotis Papaioannnou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Papers 1310.5306, arXiv.org.
    11. Marcelo Bianconi & Richard Chen, 2009. "Firm Value, Cross-Listing Premium and the Sarbanes-Oxley Act," Discussion Papers Series, Department of Economics, Tufts University 0738, Department of Economics, Tufts University.
    12. David R. Gallagher & Peter A. Gardner & Camille H. Schmidt & Terry S. Walter, 2014. "Portfolio Quality and Mutual Fund Performance," International Review of Finance, International Review of Finance Ltd., vol. 14(4), pages 485-521, December.
    13. Roselyne Joyeux & George Milunovich, 2015. "Speculative bubbles, financial crises and convergence in global real estate investment trusts," Applied Economics, Taylor & Francis Journals, vol. 47(27), pages 2878-2898, June.
    14. Pierdzioch, Christian & Schertler, Andrea, 2005. "Investing in European Stock Markets for High-Technology Firms," Kiel Working Papers 1265, Kiel Institute for the World Economy (IfW).
    15. Panagiotis Papaioannou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Netnomics, Springer, vol. 14(1), pages 47-68, November.
    16. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2013. "Analyzing the dependence structure of various sectors in the Brazilian market: A Pair Copula Construction approach," Economic Modelling, Elsevier, vol. 35(C), pages 199-206.

  11. David E. Rapach & Jack K. Strauss, 2007. "Forecasting real housing price growth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 33-42.

    Cited by:

    1. Plakandaras, Vasilios & Gupta, Rangan & Papadimitriou, Theophilos & Gogas, Periklis, 2014. "Forecasting the U.S. Real House Price Index," DUTH Research Papers in Economics 10-2014, Democritus University of Thrace, Department of Economics.
    2. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    3. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2011. "Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 16(1), pages 1-20, August.
    4. Goodness C. Aye & Rangan Gupta, 2013. "Forecasting Real House Price of the U.S.: An Analysis Covering 1890 to 2012," Working Papers 201362, University of Pretoria, Department of Economics.
    5. Rangan Gupta & Sonali Das, 2008. "Predicting Downturns in the US Housing Market: A Bayesian Approach," Working Papers 200821, University of Pretoria, Department of Economics.
    6. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Using Large Data Sets to Forecast Housing Prices: A Case Study of Twenty US States," Working Papers 0916, University of Nevada, Las Vegas , Department of Economics.
    7. Christina Christou & Rangan Gupta & Christis Hassapis, 2016. "Does Economic Policy Uncertainty Forecast Real Housing Returns in a Panel of OECD Countries? A Bayesian Approach," Working Papers 201637, University of Pretoria, Department of Economics.
    8. Micheli, Martin, 2016. "Local governments' indebtedness and its impact on real estate prices," Ruhr Economic Papers 605, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. an de Meulen, Philipp & Micheli, Martin & Schmidt, Torsten, 2011. "Forecasting House Prices in Germany," Ruhr Economic Papers 294, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).

  12. David E. Rapach & Jack K. Strauss, 2006. "The long-run relationship between consumption and housing wealth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Oct, pages 140-147.

    Cited by:

    1. Ogonna Nneji & Chris Brooks & Charles Ward, 2011. "Intrinsic and Rational Speculative Bubbles in the U.S. Housing Market 1960-2009," ICMA Centre Discussion Papers in Finance icma-dp2011-01, Henley Business School, Reading University.
    2. León Navarro, Manuel & Flores de Frutos, Rafael, 2015. "Residential versus financial wealth effects on consumption from a shock in interest rates," Economic Modelling, Elsevier, vol. 49(C), pages 81-90.
    3. Gupta, Rangan & Modise, Mampho P., 2013. "Macroeconomic Variables and South African Stock Return Predictability," Economic Modelling, Elsevier, vol. 30(C), pages 612-622.
    4. Márquez, Elena & Martínez-Cañete, Ana R. & Pérez-Soba, Inés, 2013. "Wealth shocks, credit conditions and asymmetric consumption response: Empirical evidence for the UK," Economic Modelling, Elsevier, vol. 33(C), pages 357-366.
    5. Yener Coskun & Burak Sencer Atasoy & Giacomo Morri & Esra Alp, 2018. "Wealth Effects on Household Final Consumption: Stock and Housing Market Channels," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 6(2), pages 1-32, June.
    6. Gupta, Rangan & Modise, Mampho P., 2012. "South African stock return predictability in the context data mining: The role of financial variables and international stock returns," Economic Modelling, Elsevier, vol. 29(3), pages 908-916.

  13. David E. Rapach & Jack K. Strauss, 2005. "Forecasting employment growth in Missouri with many potentially relevant predictors: an analysis of forecast combining methods," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 97-112.

    Cited by:

    1. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    2. Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
    3. David E. Rapach & Jack K. Strauss, 2007. "Forecasting real housing price growth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 33-42.
    4. Rapach, David E. & Strauss, Jack K., 2012. "Forecasting US state-level employment growth: An amalgamation approach," International Journal of Forecasting, Elsevier, vol. 28(2), pages 315-327.

  14. Jack Strauss & Mark E. Wohar, 2004. "The Linkage between Prices, Wages, and Labor Productivity: A Panel Study of Manufacturing Industries," Southern Economic Journal, Southern Economic Association, vol. 70(4), pages 920-941, April.

    Cited by:

    1. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    2. Josheski, Dushko & Bardarova, Snezana, 2013. "Causal relationship between wages and prices in R. Macedonia: VECM analysis," EconStor Preprints 77910, ZBW - German National Library of Economics.
    3. Saten Kumar & Don J. Webber & Geoff Perry, 2009. "Real wages, inflation and labour productivity in Australia," Working Papers 0921, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    4. Klasen, Stephan & Herzer, Dierk & Nowak-Lehmann D., Felicitas, 2007. "In search of FDI-led growth in developing countries," Proceedings of the German Development Economics Conference, Göttingen 2007 14, Verein für Socialpolitik, Research Committee Development Economics.
    5. Saten Kumar & Don J. Webber & Geoff Perry, 2012. "Real wages, inflation and labour productivity in Australia," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2945-2954, August.
    6. Josheski, Dushko & Lazarov, Darko & Fotov, Risto & Koteski, Cane, 2011. "Causal relationship between wages and prices in UK: VECM analysis and Granger causality testing," MPRA Paper 34095, University Library of Munich, Germany.
    7. Chor Foon Tang, 2014. "The effect of real wages and inflation on labour productivity in Malaysia," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(3), pages 311-322, May.
    8. Chen, George S. & Yao, Yao & Malizard, Julien, 2017. "Does foreign direct investment crowd in or crowd out private domestic investment in China? The effect of entry mode," Economic Modelling, Elsevier, vol. 61(C), pages 409-419.
    9. Bronzini, Raffaello & Piselli, Paolo, 2009. "Determinants of long-run regional productivity with geographical spillovers: The role of R&D, human capital and public infrastructure," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 187-199, March.
    10. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2014. "Food competition in world markets: Some evidence from a panel data analysis of top exporting countries," DEM Working Papers Series 083, University of Pavia, Department of Economics and Management.
    11. Hoxha Adriatik, 2010. "Causal relationship between prices and wages: VECM analysis for Germany," EuroEconomica, Danubius University of Galati, issue 26, pages 90-106, November.
    12. Chaido Dritsaki, 2016. "Real wages, inflation, and labor productivity: Evidences from Bulgaria and Romania," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(5), pages 24-36, October.
    13. Schreiber, Sven, 2013. "(When) does money growth help to predict Euro-area inflation at low frequencies?," Discussion Papers 2013/10, Free University Berlin, School of Business & Economics.

  15. Mark T. Hon & Jack Strauss & Soo-Keong Yong, 2004. "Contagion in financial markets after September 11: myth or reality?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(1), pages 95-114.

    Cited by:

    1. Alexander Mende, 2006. "09/11 on the USD/EUR foreign exchange market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(3), pages 213-222.
    2. Abdulnasser Hatemi-J & R. Scott Hacker, 2005. "An alternative method to test for contagion with an application to the Asian financial crisis," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(6), pages 343-347, November.
    3. Essaddam, Naceur & Karagianis, John M., 2014. "Terrorism, country attributes, and the volatility of stock returns," Research in International Business and Finance, Elsevier, vol. 31(C), pages 87-100.
    4. Kollias, Christos & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Terrorism and capital markets: The effects of the Madrid and London bomb attacks," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 532-541, October.
    5. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    6. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2018. "Geopolitical risks and stock market dynamics of the BRICS," Economic Systems, Elsevier, vol. 42(2), pages 295-306.
    7. Gazi Salah Uddin & Mohamed Arouri & Aviral Kumar Tiwari, 2014. "Co-movements between Germany and International Stock Markets: Some New Evidence from DCC-GARCH and Wavelet Approaches," Working Papers 2014-143, Department of Research, Ipag Business School.
    8. Athanassiou, Emmanuel & Kollias, Christos & Syriopoulos, Theodore, 2006. "Dynamic volatility and external security related shocks: The case of the Athens Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(5), pages 411-424, December.
    9. Oanea, Dumitru-Cristian, 2015. "Financial markets integration: A vector error-correction approach," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 153-161.
    10. Ofir D. Rubin & Rico Ihle, 2017. "Measuring Temporal Dimensions of the Intensity of Violent Political Conflict," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 621-642, June.
    11. Ding, Liang & Huang, Yirong & Pu, Xiaoling, 2014. "Volatility linkage across global equity markets," Global Finance Journal, Elsevier, vol. 25(2), pages 71-89.
    12. 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.
    13. Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
    14. Mnasri, Ayman & Nechi, Salem, 2016. "Impact of terrorist attacks on stock market volatility in emerging markets," Emerging Markets Review, Elsevier, vol. 28(C), pages 184-202.
    15. MERIC Ilhan & NYGREN Lan Ma & BENTLEY Jerome T & McCALL Charles W, 2015. "Co-Movements Of U.S. And European Stock Markets Before And After The 2008 Gloal Stock Market Crash," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 10(2), pages 83-98, August.
    16. Wang, Jia & Meric, Gulser & Liu, Zugang & Meric, Ilhan, 2009. "Stock market crashes, firm characteristics, and stock returns," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1563-1574, September.
    17. Mahfuzul Haque & Imen Kouki, 2009. "Effect of 9/11 on the conditional time-varying equity risk premium: evidence from developed markets," Journal of Risk Finance, Emerald Group Publishing, vol. 10(3), pages 261-276, May.
    18. Chang, Guang-Di & Cheng, Po-Ching, 2016. "Evidence of cross-asset contagion in U.S. markets," Economic Modelling, Elsevier, vol. 58(C), pages 219-226.
    19. Mollah, Sabur & Quoreshi, A.M.M. Shahiduzzaman & Zafirov, Goran, 2016. "Equity market contagion during global financial and Eurozone crises: Evidence from a dynamic correlation analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 151-167.
    20. Narayan, S. & Le, T.-H. & Sriananthakumar, S., 2018. "The influence of terrorism risk on stock market integration: Evidence from eight OECD countries," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 247-259.
    21. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Affect the Dollar-Pound Exchange Rate? A Nonparametric Causality-in-Quantiles Analysis," Working Papers 201615, University of Pretoria, Department of Economics.
    22. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries," Working Papers 201608, University of Pretoria, Department of Economics.
    23. Christos Kollias & Stephanos Papadamou & Costas Siriopoulos, 2013. "European Markets’ Reactions to Exogenous Shocks: A High Frequency Data Analysis of the 2005 London Bombings," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 1(4), pages 1-14, November.
    24. Helena Chulia & Francisco Climent & Pilar Soriano & Hipolit Torro, 2009. "Volatility transmission patterns and terrorist attacks," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 607-619.
    25. Douch, Mohamed & Essaddam, Naceur, 2011. "Short and Long-Term Effects of September 11 on Stock Returns: Evidence from U.S. Defense Firms," MPRA Paper 46529, University Library of Munich, Germany, revised Mar 2013.
    26. Troug, Haytem Ahmed & Murray, Matt, 2015. "Crisis Determination and Financial Contagion: An Analysis of the Hong Kong and Tokyo Stock Markets using an MSBVAR Approach," MPRA Paper 68706, University Library of Munich, Germany.
    27. Nikkinen, Jussi & Omran, Mohammad M. & Sahlstrom, Petri & Aijo, Janne, 2008. "Stock returns and volatility following the September 11 attacks: Evidence from 53 equity markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 27-46.
    28. Chaudhry, Naukhaiz & Roubaud, David & Akhter, Waheed & Shahbaz, Muhammad, 2018. "Impact of terrorism on stock markets: empirical evidence from the SAARC region," MPRA Paper 84783, University Library of Munich, Germany, revised 19 Feb 2018.
    29. Baur, Dirk G. & Lucey, Brian M., 2009. "Flights and contagion--An empirical analysis of stock-bond correlations," Journal of Financial Stability, Elsevier, vol. 5(4), pages 339-352, December.
    30. Bowman, Robert G. & Chan, Kam Fong & Comer, Matthew R., 2010. "Diversification, rationality and the Asian economic crisis," Pacific-Basin Finance Journal, Elsevier, vol. 18(1), pages 1-23, January.
    31. Wang, Gang-Jin & Xie, Chi & Lin, Min & Stanley, H. Eugene, 2017. "Stock market contagion during the global financial crisis: A multiscale approach," Finance Research Letters, Elsevier, vol. 22(C), pages 163-168.
    32. Bensafta, Kamel Malik & Semedo, Gervasio, 2009. "De la transmission de la volatilité à la contagion entre marchés boursiers : l’éclairage d’un modèle VAR non linéaire avec bris structurels en variance," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(1), pages 13-76, mars.
    33. Karolyi, G. Andrew, 2006. "The Consequences of Terrorism for Financial Markets: What Do We Know?," Working Paper Series 2006-6, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    34. Kollias, Christos & Manou, Efthalia & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Stock markets and terrorist attacks: Comparative evidence from a large and a small capitalization market," European Journal of Political Economy, Elsevier, vol. 27(S1), pages 64-77.
    35. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    36. Hsien-Yi Lee, 2012. "Contagion in International Stock Markets during the Sub Prime Mortgage Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 41-53.
    37. Hsien-Yi LEE, 2011. "Contagion in International Stock Markets During the sub Prime Mortgage Crisis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 141-158, December.
    38. Billmeier, Andreas & Massa, Isabella, 2008. "Go long or short in pyramids? News from the Egyptian stock market," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 949-970, December.
    39. Mollah, Sabur & Zafirov, Goran & Quoreshi, AMM Shahiduzzaman, 2014. "Financial Market Contagion during the Global Financial Crisis," Working Papers 2014/05, Blekinge Institute of Technology, Department of Industrial Economics.
    40. Lee, Hsien-Yi & Wu, Hsing-Chi & Wang, Yung-Jang, 2007. "Contagion effect in financial markets after the South-East Asia Tsunami," Research in International Business and Finance, Elsevier, vol. 21(2), pages 281-296, June.
    41. Kotkatvuori-Örnberg, Juha & Nikkinen, Jussi & Äijö, Janne, 2013. "Stock market correlations during the financial crisis of 2008–2009: Evidence from 50 equity markets," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 70-78.
    42. Corbet, Shaen & Gurdgiev, Constantin & Meegan, Andrew, 2018. "Long-term stock market volatility and the influence of terrorist attacks in Europe," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 118-131.
    43. Hon, Mark T. & Strauss, Jack K. & Yong, Soo-Keong, 2007. "Deconstructing the Nasdaq bubble: A look at contagion across international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 213-230, July.
    44. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.

  16. Nasseh, Alireza & Strauss, Jack, 2004. "Stock prices and the dividend discount model: did their relation break down in the 1990s?," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 191-207, May.

    Cited by:

    1. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    2. Ky-Hyang Yuhn & Sang Bong Kim & Joo Ha Nam, 2015. "Bubbles and the Weibull distribution: was there an explosive bubble in US stock prices before the global economic crisis?," Applied Economics, Taylor & Francis Journals, vol. 47(3), pages 255-271, January.
    3. Ye, Yonggang & Chang, Tsangyao & Hung, Ken & Lu, Yang-Cheng, 2011. "Revisiting rational bubbles in the G-7 stock markets using the Fourier unit root test and the nonparametric rank test for cointegration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(2), pages 346-357.
    4. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector-Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5-6), pages 668-686.
    5. Ramzi Boussaidi & Abaoub Ezzeddine, 2016. "The dynamics of Stock price adjustment to fundamentals: an empirical essay via STAR models in the Tunisian stock market," Economics Bulletin, AccessEcon, vol. 36(2), pages 813-826.
    6. Olsen, Robert A., 2008. "Trust as risk and the foundation of investment value," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(6), pages 2189-2200, December.
    7. Nicholas Mangee, 2016. "Can structural change explain the Meese-Rogoff puzzle?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(2), pages 211-234, April.

  17. Funk, Mark & Strauss, Jack, 2003. "Panel tests of stochastic convergence: TFP transmission within manufacturing industries," Economics Letters, Elsevier, vol. 78(3), pages 365-371, March.

    Cited by:

    1. Mohamed Chaffai & Patrick Plane, 2011. "Total Factor Productivity of Tunisia's manufacturing sectors: measurement, determinants and convergence towards OECD countries," Working Papers halshs-00562642, HAL.
    2. Markus Eberhardt & Francis Teal, 2010. "Productivity Analysis in Global Manufacturing Production," DEGIT Conference Papers c015_019, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    4. Johannes Van Biesebroeck, 2009. "Disaggregate productivity comparisons: sectoral convergence in OECD countries," Journal of Productivity Analysis, Springer, vol. 32(2), pages 63-79, October.
    5. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
    6. Wong, Wei-Kang, 2006. "OECD convergence: A sectoral decomposition exercise," Economics Letters, Elsevier, vol. 93(2), pages 210-214, November.

  18. Strauss, Jack & Yigit, Taner, 2003. "Shortfalls of panel unit root testing," Economics Letters, Elsevier, vol. 81(3), pages 309-313, December.

    Cited by:

    1. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    2. Giorgio Canarella & Stephen M. Miller & Mahmoud M. Nourayi, 2012. "Firm Profitability: Mean-Reverting or Random-Walk Behavior?," Working Papers 1202, University of Nevada, Las Vegas , Department of Economics.
    3. Romero-Ávila, Diego & Usabiaga, Carlos, 2009. "The hypothesis of a unit root in OECD inflation revisited," Journal of Economics and Business, Elsevier, vol. 61(2), pages 153-161.
    4. Eita, Joel Hinaunye & Jordaan, Andre C., 2007. "Estimating The Tourism Potential In Namibia," MPRA Paper 5788, University Library of Munich, Germany.
    5. Jesús Otero & Luis Fernando Gamboa & Andrés García-Suaza, 2011. "An analysis of the relationship between wages in the public and private sector in colombia: a panel data approach," DOCUMENTOS DE TRABAJO 008738, UNIVERSIDAD DEL ROSARIO.
    6. Vishal Chandr Jaunky & Robert Lundmark, 2015. "Are Shocks to Wood Fuel Production Permanent? Evidence from the EU," Energies, MDPI, Open Access Journal, vol. 8(11), pages 1-11, November.
    7. Niang, Abdou-Aziz & Pichery, Marie-Claude & Edjo, Marcellin, 2010. "Convergence test in the presence of structural changes: an empirical procedure based on panel data with cross-sectional dependence," MPRA Paper 23452, University Library of Munich, Germany.
    8. Kappler, Marcus, 2006. "Panel Tests for Unit Roots in Hours Worked," ZEW Discussion Papers 06-022, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    9. Diego Romero-Ávila, 2012. "Multiple trend shifts and unit roots in US state income levels: implications for long-run growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 641-661, June.
    10. Marcus Kappler, 2009. "Do hours worked contain a unit root? Evidence from panel data," Empirical Economics, Springer, vol. 36(3), pages 531-555, June.
    11. Rabah Arezki & Kaddour Hadri & Eiji Kurozumi & Yao Rao, 2012. "Breaking the Prebish Singer Hypothesis using Panel Data Stationarity Tests," Economics Working Papers 12-01, Queen's Management School, Queen's University Belfast.
    12. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroscedasticity," MPRA Paper 24053, University Library of Munich, Germany.
    13. Mariam Camarero & Josep Lluis Carrion-i-Silvestre & Cecilio Tamarit, 2006. "New evidence of the real interest rate parity for OECD countries using panel unit root tests with breaks," Working Papers CREAP2006-14, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2006.
    14. Mark J. Holmes & Theodore Panagiotidis & Jesus Otero, 2009. "On the stationarity of current account deficits in the European Union," Discussion Paper Series 2009_18, Department of Economics, University of Macedonia, revised Dec 2009.
    15. Mishra, Vinod & Sharma, Susan & Smyth, Russell, 2009. "Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries," Energy Policy, Elsevier, vol. 37(6), pages 2318-2326, June.
    16. Perevyshin, Yu. & Skrobotov, A., 2017. "The Price Convergence of Individual Goods in the Russian Regions," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 71-102.
    17. T. Berger & G. Everaert, 2006. "Unemployment in the OECD since the 1960s. Do we really know?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/425, Ghent University, Faculty of Economics and Business Administration.
    18. Amélie Charles & Olivier Darne & Jean-François Hoarau, 2012. "Convergence of real per capita GDP within COMESA countries: A panel unit root evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 53-71, August.
    19. Fischer, Christoph, 2004. "PPP: a Disaggregated View," Discussion Paper Series 1: Economic Studies 2004,07, Deutsche Bundesbank.
    20. Jesús Otero & Jeremy Smith, 2013. "Response Surface Estimates of the Cross-Sectionally Augmented IPS Tests for Panel Unit Roots," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 1-9, January.
    21. Konstantin A. Kholodilin & Jan-Oliver Menz & Boriss Siliverstovs, 2007. "What Drives Housing Prices Down?: Evidence from an International Panel," Discussion Papers of DIW Berlin 758, DIW Berlin, German Institute for Economic Research.
    22. Ketenci, Natalya, 2014. "Capital mobility in the panel GMM framework: Evidence from EU members," MPRA Paper 59014, University Library of Munich, Germany.
    23. Romero-Avila, Diego, 2008. "Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence," Ecological Economics, Elsevier, vol. 64(3), pages 559-574, January.
    24. Jack Strauss, 2017. "Do High Speed Railways Lead to Urban Economic Growth in China?," Proceedings of Economics and Finance Conferences 4807677, International Institute of Social and Economic Sciences.
    25. A M Spiru, 2007. "Inflation convergence in the new EU member states," Working Papers 590260, Lancaster University Management School, Economics Department.
    26. Vinod Mishra & Ingrid Nielsen & Russell Smyth, 2010. "On the relationship between female labour force participation and fertility in G7 countries: evidence from panel cointegration and Granger causality," Empirical Economics, Springer, vol. 38(2), pages 361-372, April.
    27. Ana Iregui & Jesús Otero, 2011. "Testing the law of one price in food markets: evidence for Colombia using disaggregated data," Empirical Economics, Springer, vol. 40(2), pages 269-284, April.
    28. Luis Alberiko Gil-Alana & Pedro Garcia-del-Barrio, 2006. "New Revelations about Unemployment Persistence in Spain," Faculty Working Papers 10/06, School of Economics and Business Administration, University of Navarra.
    29. Shuddhasattwa Rafiq & Ingrid Nielsen & Russell Smyth, 2016. "Effect of Internal Migration on Air and Water Pollution in China," Monash Economics Working Papers 27-16, Monash University, Department of Economics.
    30. Diego Romero-Ávila & Carlos Usabiaga, 2009. "The Unemployment Paradigms Revisited: A Comparative Analysis Of U.S. State And European Unemployment," Contemporary Economic Policy, Western Economic Association International, vol. 27(3), pages 321-334, July.
    31. Costantini, Mauro & Lupi, Claudio, 2007. "An analysis of inflation and interest rates. New panel unit root results in the presence of structural breaks," Economics Letters, Elsevier, vol. 95(3), pages 408-414, June.
    32. Kutan, Ali M. & Yigit, Taner M., 2005. "Real and nominal stochastic convergence: Are the new EU members ready to join the Euro zone?," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 387-400, June.
    33. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.
    34. Diego Romero-Ávila & Carlos Usabiaga, 2008. "On the persistence of Spanish unemployment rates," Empirical Economics, Springer, vol. 35(1), pages 77-99, August.
    35. Kristian Jonsson, 2006. "Time-specific disturbances and cross-sectional dependency in a small-sample heterogeneous panel data unit root test," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1309-1317.
    36. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    37. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    38. John Marangos & Vasiliki Fourmouzi & Minoas Koukouritakis, 2013. "Factors that Determine the Decline in University Student Enrolments in Economics in Australia: An Empirical Investigation," The Economic Record, The Economic Society of Australia, vol. 89(285), pages 255-270, June.
    39. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.
    40. Jaunky, Vishal Chandr, 2012. "Is there a material Kuznets curve for aluminium? evidence from rich countries," Resources Policy, Elsevier, vol. 37(3), pages 296-307.
    41. Jan Bentzen & Erik Madsen & Valdemar Smith & Mogens Dilling-Hansen, 2005. "Persistence in Corporate Performance? Empirical Evidence from Panel Unit Root Tests," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(2), pages 217-230, June.
    42. Kutan, Ali M. & Yigit, Taner M., 2004. "Nominal and real stochastic convergence of transition economies," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 23-36, March.
    43. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    44. Romero-Ávila, Diego, 2008. "Convergence in carbon dioxide emissions among industrialised countries revisited," Energy Economics, Elsevier, vol. 30(5), pages 2265-2282, September.
    45. Solarin, Sakiru Adebola & Ozturk, Ilhan, 2016. "The relationship between natural gas consumption and economic growth in OPEC members," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1348-1356.
    46. Diego Romero-Ávila, 2009. "The Convergence Hypothesis For Oecd Countries Reconsidered: Panel Data Evidence With Multiple Breaks, 1870-2003," Manchester School, University of Manchester, vol. 77(4), pages 552-574, July.
    47. Arezki, Rabah & Hadri, Kaddour & Kurozumi, Eiji & Rao, Yao, 2012. "Testing the Prebish–Singer hypothesis using second-generation panel data stationarity tests with a break," Economics Letters, Elsevier, vol. 117(3), pages 814-816.
    48. Abdou-Aziz Niang, 2017. "Testing economic convergence in non-stationary panel," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 135-156, March.
    49. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.
    50. Romero-Ávila, Diego, 2009. "Multiple Breaks, Terms of Trade Shocks and the Unit-Root Hypothesis for African Per Capita Real GDP," World Development, Elsevier, vol. 37(6), pages 1051-1068, June.
    51. Tino Berger & Gerdie Everaert, 2009. "A replication note on unemployment in the OECD since the 1960s: what do we know?," Empirical Economics, Springer, vol. 36(2), pages 479-485, May.
    52. David Peel & Michael Peel & Ioannis Venetis, 2004. "Further empirical analysis of the time series properties of financial ratios based on a panel data approach," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 155-163.

  19. Strauss, Jack & Yigit, Taner, 2001. "Present value model, heteroscedasticity and parameter stability tests," Economics Letters, Elsevier, vol. 73(3), pages 375-378, December.

    Cited by:

    1. Lüders, Erik & Lüders-Amann, Inge & Schröder, Michael, 2004. "The Power Law and Dividend Yields," ZEW Discussion Papers 04-51, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    2. Dooruj Rambaccussing, 2011. "Do Mean Reverting based trading strategies outperform Buy and Hold?," Working Papers 1113, Department of Applied Economics II, Universidad de Valencia.

  20. Fleissig, Adrian & Strauss, Jack, 2001. "Panel Unit-Root Tests of OECD Stochastic Convergence," Review of International Economics, Wiley Blackwell, vol. 9(1), pages 153-162, February.

    Cited by:

    1. Burak GÜRIŞ & İpek M. YURTTAGÜLER & Muhammed TIRAŞOĞLU, 2017. "Unemployment convergence analysis for Nordic countries: Evidence from linear and nonlinear unit root tests," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(610), S), pages 45-56, Spring.
    2. Lopez, Claude & Papell, David, 2010. "Testing for Group-Wise Convergence with an Application to Euro Area Inflation," MPRA Paper 20585, University Library of Munich, Germany.
    3. Josep Lluís Carrion-i-Silvestre & Vicente German-Soto, 2008. "Panel Data Stochastic Convergence Analysis of the Mexican Regions," IREA Working Papers 200805, University of Barcelona, Research Institute of Applied Economics, revised Apr 2008.
    4. Omid Ranjbar & Tsangyao Chang & Chien-Chiang Lee & Zahra Mila Elmi, 2018. "Catching-up process in the transition countries," Economic Change and Restructuring, Springer, vol. 51(3), pages 249-278, August.
    5. Constantinos Katrakilidis & George Konteos & Nikolaos Sariannidis & Chrysi Manolidou, 2017. "Investigation of Convergence in the Tourist Markets of Greece," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 707-729.
    6. Amat Adarov & Mario Holzner & Luka Sikic, 2016. "Backwardness, Industrialisation and Economic Development in Europe," wiiw Balkan Observatory Working Papers 123, The Vienna Institute for International Economic Studies, wiiw.
    7. Svetlana Gurieva & Irina Kuznetsova & Ekaterina Yumkina & Sergey Manichev & Elena Sidorenko, 2017. "Emotional Intelligence and Behavior Styles of Russian Middle Managers in Business Communication," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 679-693.
    8. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2012. "The slow convergence of per capita income between the developing countries: ‘growth resistance’ and sometimes ‘growth tragedy’," Post-Print hal-01385800, HAL.
    9. Lin, Pei-Chien & Huang, Ho-Chuan (River), 2012. "Inequality convergence revisited: Evidence from stationarity panel tests with breaks and cross correlation," Economic Modelling, Elsevier, vol. 29(2), pages 316-325.
    10. Strauss, Jack & Yigit, Taner, 2003. "Shortfalls of panel unit root testing," Economics Letters, Elsevier, vol. 81(3), pages 309-313, December.
    11. Strazicich, Mark C. & Lee, Junsoo & Day, Edward, 2004. "Are incomes converging among OECD countries? Time series evidence with two structural breaks," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 131-145, March.
    12. Aslan, Alper, 2008. "Convergence of per capita health care expenditures in OECD Countries," MPRA Paper 10592, University Library of Munich, Germany.
    13. Matsuki, Takashi & Usami, Ryoichi, 2007. "China's Regional Convergence in Panels with Multiple Structural Breaks," MPRA Paper 10167, University Library of Munich, Germany, revised 17 May 2008.
    14. Pei-Chien Lin & Ho-Chuan Huang, 2012. "Convergence in income inequality? evidence from panel unit root tests with structural breaks," Empirical Economics, Springer, vol. 43(1), pages 153-174, August.
    15. Pei-Chien Lin & Chun-Hung Lin & I-Ling Ho, 2013. "Regional convergence or divergence in China? Evidence from unit root tests with breaks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 223-243, February.
    16. Ho, Tsung-wu, 2015. "Income inequality may not converge after all: Testing panel unit roots in the presence of cross-section cointegration," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 68-79.
    17. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2012. "Testing Catching-Up Between The Developing Countries: “Growth Resistance” And Sometimes “Growth Tragedy”," Bulletin of Economic Research, Wiley Blackwell, vol. 64(4), pages 470-508, October.
    18. Burcu Ozcan, 2014. "Does Income Converge among EU Member Countries following the Post-War Period? Evidence from the PANKPSS Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 22-38, October.
    19. Diego Romero-Ávila, 2009. "The Convergence Hypothesis For Oecd Countries Reconsidered: Panel Data Evidence With Multiple Breaks, 1870-2003," Manchester School, University of Manchester, vol. 77(4), pages 552-574, July.

  21. Nasseh, Alireza & Strauss, Jack, 2000. "Stock prices and domestic and international macroeconomic activity: a cointegration approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(2), pages 229-245.

    Cited by:

    1. Annika Alexius & Daniel Spang, 2018. "Stock prices and GDP in the long run," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 8(4), pages 1-7.
    2. Aristeidis Samitas & Dimitris Kenourgios, 2005. "Macroeconomic factors’ influence on “new” European countries stock returns: the case of four transition economies," Finance 0512022, University Library of Munich, Germany.
    3. Tristan Nguyen & Thi Thanh Mai Bui, 2018. "Modeling the Volatility and Forecasting the Stock Price of the German Stock Index (DAX30)," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(4), pages 72-92, 04-2018.
    4. Umut UYAR & Sinem KANGALLI UYAR & Altan GOKCE, 2016. "Gosterge Faiz Orani Dalgalanmalari Ve Bist Endeksleri Arasindaki Iliskinin Esanli Kantil Regresyon Ile Analizi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 16(4), pages 587-598.
    5. Fabio ALESSANDRINI, 2003. "Do Financial Variables Provide Information about the Swiss Business Cycle ?," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 03.02, Université de Lausanne, Faculté des HEC, DEEP.
    6. Acaravci, Ali & Ozturk, Ilhan & Kandir, Serkan Yilmaz, 2012. "Natural gas prices and stock prices: Evidence from EU-15 countries," Economic Modelling, Elsevier, vol. 29(5), pages 1646-1654.
    7. Juha Junttila, 2003. "Detecting speculative bubbles in an IT-intensive stock market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(2), pages 166-189, June.
    8. Buerhan Saiti & Azlan Ali & Naziruddin Abdullah & Sulaiman Sajilan, 2014. "Palm Oil Price, Exchange Rate, and Stock Market: A Wavelet Analysis on the Malaysian Market," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 2(1), pages 13-27.
    9. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2005. "Multi-agent modeling and simulation of a sequential monetary production economy," Computational Economics 0503002, EconWPA.
    10. Davis, E. Philip & Madsen, Jakob B., 2008. "Productivity and equity market fundamentals: 80 years of evidence for 11 OECD countries," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1261-1283, December.
    11. Andreas Humpe & Peter Macmillan, 2007. "Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan," CDMA Working Paper Series 200720, Centre for Dynamic Macroeconomic Analysis.
    12. Ghosh, Sajal & Kanjilal, Kakali, 2016. "Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests," Energy Economics, Elsevier, vol. 53(C), pages 111-117.
    13. Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2016. "Intra-national and international spillovers between the real economy and the stock market: The case of China," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 78-92.
    14. Henryk Gurgul & Milena Suliga & Tomasz Wojtowicz, 2012. "Responses of the Warsaw Stock Exchange to the U.S. macroeconomic data announcements," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 12, pages 41-59.
    15. Grzegorz Przekota & Anna Szczepanska-Przekota, 2010. "The reaction of the WIG stock market index to changes in the interest rates on bank deposits," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 97-110.
    16. Khan, Mashrur Mustaque & Yousuf, Ahmed Sadek, 2013. "Macroeconomic Forces and Stock Prices:Evidence from the Bangladesh Stock Market," MPRA Paper 46528, University Library of Munich, Germany.
    17. Saiti, Buerhan & Bacha, Obiyathulla & Masih, Mansur, 2014. "Is the global leadership of the US financial market over other financial markets shaken by 2007-2009 financial crisis? Evidence from Wavelet Analysis," MPRA Paper 57064, University Library of Munich, Germany.
    18. Westerlund, Joakim & Costantini, Mauro & Narayan, Paresh & Popp, Stephan, 2009. "Seasonal Unit Root Tests for Trending and Breaking Series with Application to Industrial Production," Working Papers in Economics 377, University of Gothenburg, Department of Economics.
    19. Peiró, Amado, 2016. "Stock prices and macroeconomic factors: Some European evidence," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 287-294.
    20. Nikolaos Giannellis & Athanasios Papadopoulos & Angelos Kanas, 2008. "Asymmetric Volatility Spillovers Î’etween Stock Market and Real Activity: Evidence from UK and US," Working Papers 0807, University of Crete, Department of Economics.
    21. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    22. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
    23. Jaiswal-Dale, Ameeta & Jithendranathan, Thadavillil, 2009. "Transmission of shocks from cross-listed markets to the return and volatility of domestic stocks," Journal of Multinational Financial Management, Elsevier, vol. 19(5), pages 395-408, December.
    24. Ülkü, Numan & Kuruppuarachchi, Duminda & Kuzmicheva, Olga, 2017. "Stock market's response to real output shocks in Eastern European frontier markets: A VARwAL model," Emerging Markets Review, Elsevier, vol. 33(C), pages 140-154.
    25. Binswanger, Mathias, 2004. "Stock returns and real activity in the G-7 countries: did the relationship change during the 1980s?," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 237-252, May.
    26. Azzam, Islam, 2010. "Stock exchange demutualization and performance," Global Finance Journal, Elsevier, vol. 21(2), pages 211-222.
    27. Nikkinen, Jussi & Omran, Mohammed & Sahlstrom, Petri & Aijo, Janne, 2006. "Global stock market reactions to scheduled U.S. macroeconomic news announcements," Global Finance Journal, Elsevier, vol. 17(1), pages 92-104, September.
    28. Stefanescu, Razvan & Dumitriu, Ramona & Nistor, Costel, 2011. "Impact of the domestic and the US macroeconomic news on the Romanian stock market," MPRA Paper 41623, University Library of Munich, Germany, revised 08 Sep 2011.
    29. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.
    30. Narayan, Seema & Narayan, Paresh Kumar, 2012. "Do US macroeconomic conditions affect Asian stock markets?," Journal of Asian Economics, Elsevier, vol. 23(6), pages 669-679.
    31. Chu, Patrick Kuok-Kun, 2011. "Relationship between macroeconomic variables and net asset values (NAV) of equity funds: Cointegration evidence and vector error correction model of the Hong Kong Mandatory Provident Funds (MPFs)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 792-810.
    32. Tsutsui, Yoshiro & Hirayama, Kenjiro, 2005. "Estimation of the common and country-specific shock to stock prices," Journal of the Japanese and International Economies, Elsevier, vol. 19(3), pages 322-337, September.
    33. Barry Harrison & Winston Moore, 2009. "Spillover effects from London and Frankfurt to Central and Eastern European stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(18), pages 1509-1521.
    34. Aslanidis, Nektarios & Osborn, Denise R. & Sensier, Marianne, 2008. "Co-movements between US and UK stock prices: the roles of macroeconomic information and time-series varying conditional correlations," Working Papers 2072/8950, Universitat Rovira i Virgili, Department of Economics.
    35. Ihsan Erdem Kayral & Semra Karacaer, 2017. "Analysis of the Effects of the US Stock Market Returns and Exchange Rate Changes on Emerging Market Economies’ Stock Market Volatilities," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(5), pages 1-5.
    36. Aviral K. Tiwari & Claudiu T. Albulescu & Rangan Gupta, 2015. "Time-Frequency Relationship between U.S. Output with Commodity and Asset Prices," Working Papers 201523, University of Pretoria, Department of Economics.
    37. Valentyna Ozimkovska, 2018. "Real financial market exchange rate volatility and portfolio flows," International Economics and Economic Policy, Springer, vol. 15(2), pages 281-303, April.
    38. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.
    39. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2012. "Breakdowns and revivals: the long-run relationship between the stock market and real economic activity in the G-7 countries," MPRA Paper 43306, University Library of Munich, Germany.
    40. Nektarios Aslanidis & Denise R. Osborn & Marianne Sensier, 2008. "Comovements between US and UK stock prices: the roles of macroeconomic information and timevarying conditional correlations," The School of Economics Discussion Paper Series 0805, Economics, The University of Manchester.
    41. Numan Ülkü & Duminda Kuruppuarachchi, 2015. "Stock Market's Response to Real Output Shocks: Connection Restored but Delayed," International Review of Finance, International Review of Finance Ltd., vol. 15(4), pages 613-622, December.
    42. Jin Guo, 2015. "Causal relationship between stock returns and real economic growth in the pre- and post-crisis period: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 12-31, January.
    43. Alexius, Annika & Spång, Daniel, 2015. "Stocks and GDP in the long run," Research Papers in Economics 2015:5, Stockholm University, Department of Economics.
    44. Asmy, Mohamed & Rohilina, Wisam & Hassama, Aris & Fouad, Md., 2009. "Effects of Macroeconomic Variables on Stock Prices in Malaysia: An Approach of Error Correction Model," MPRA Paper 20970, University Library of Munich, Germany.

  22. Fleissig, Adrian R. & Strauss, Jack, 2000. "Panel unit root tests of purchasing power parity for price indices," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 489-506, August.

    Cited by:

    1. Tomas del Barrio & Josep Ll Carrion & Enrique Lopez-Bazo, 2003. "Evidence on the Purchasing Power Parity in Panel of Cities," ERSA conference papers ersa03p273, European Regional Science Association.
    2. Diego Martínez López, 2001. "Linking public investment to private investment. The case of the Spanish regions," Economic Working Papers at Centro de Estudios Andaluces E2001/04, Centro de Estudios Andaluces.
    3. Huang, Ho-Chuan (River) & Liu, Wei-Han & Yeh, Chih-Chuan, 2012. "Convergence in price levels across US cities," Economics Letters, Elsevier, vol. 114(3), pages 245-248.
    4. Chi-Young Choi & Nelson Mark & Donggyu Sul, 2004. "Unbiased Estimation of the Half-Life to PPP Convergence in Panel Data," NBER Working Papers 10614, National Bureau of Economic Research, Inc.
    5. Masao Ogaki & Jaebeom Kim, 2004. "Purchasing Power Parity for Traded and Non-traded Goods: A Structural Error Correction Model Approach," Econometric Society 2004 Far Eastern Meetings 515, Econometric Society.
    6. Brissimis, Sophocles N. & Sideris, Dimitris A. & Voumvaki, Fragiska K., 2005. "Testing long-run purchasing power parity under exchange rate targeting," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 959-981, October.
    7. Huseyin Kalyoncu, 2009. "New evidence of the validity of purchasing power parity from Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 63-67.
    8. Kargbo, Joseph M., 2003. "Cointegration Tests of Purchasing Power Parity in Africa," World Development, Elsevier, vol. 31(10), pages 1673-1685, October.
    9. Marcelo Resende & Marcos Lima, 2005. "Market share instability in Brazilian industry: a dynamic panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 713-718.
    10. Chen, Natalie, 2002. "The Behaviour of Relative Prices in the European Union: A Sectoral Analysis," CEPR Discussion Papers 3320, C.E.P.R. Discussion Papers.
    11. Ahmad, Ahmad Hassan & Aworinde, Olalekan Bashir, 2016. "The role of structural breaks, nonlinearity and asymmetric adjustments in African bilateral real exchange rates," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 144-159.
    12. Ritesh Kumar Mishra & Sanjay Sehgal, 2011. "Exchange rates and prices in purchasing power parity framework: Are bilateral real exchange rates stationary?," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 4(3), pages 274-286.
    13. Joseph M. Kargbo, 2004. "Purchasing Power Parity And Exchange Rate Policy Reforms In Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(2), pages 258-281, June.
    14. Paresh Kumar Narayan, 2007. "Are Nominal Exchange Rates and Price Levels Co-Integrated? New Evidence from Threshold Autoregressive and Momentum-Threshold Autoregressive Models," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 74-85, March.
    15. Fischer, Christoph, 2004. "PPP: a Disaggregated View," Discussion Paper Series 1: Economic Studies 2004,07, Deutsche Bundesbank.
    16. Koedijk, C.G. & Tims, B. & van Dijk, M.A., 2005. "Purchasing Power Parity and Heterogeneous Mean Reversion," ERIM Report Series Research in Management ERS-2005-085-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Olalekan Bashir Aworinde, 2014. "Are Bilateral Real Exchange Rates Stationary? Empirical Evidence from Nigeria," Economics Bulletin, AccessEcon, vol. 34(1), pages 271-286.
    18. Kalyoncu, Huseyin & Kalyoncu, Kahraman, 2008. "Purchasing power parity in OECD countries: Evidence from panel unit root," Economic Modelling, Elsevier, vol. 25(3), pages 440-445, May.
    19. Mei Qiu & Pinfold & Rose, 2015. "A currency preferential approach to international equity investment," Applied Economics, Taylor & Francis Journals, vol. 47(49), pages 5247-5261, October.
    20. DRINE Imed & RAULT Christophe, "undated". "Does the Balassa-Samuelson Hypothesis Hold for Asian Countries? An Empirical Analysis using Panel Data Cointegration Tests," EcoMod2003 330700045, EcoMod.
    21. Drine, I. & Rault, Ch., 2004. "Does the Balassa-Samuelson Hypothesis Hold for Asian Countries?. An Empirical Analysis using Panel Data and Cointegration Tests," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(4).
    22. Miguel Carvalho & Paulo Júlio, 2012. "Digging out the PPP hypothesis: an integrated empirical coverage," Empirical Economics, Springer, vol. 42(3), pages 713-744, June.
    23. Dimitrios Sideris, 2004. "Testing for Long-Run PPP in a System Context: Evidence for the US, Germany and Japan," Working Papers 19, Bank of Greece.
    24. Rehim Kılıç, 2009. "Nonlinearity and Persistence in PPP: Does Controlling for Nonlinearity Solve the PPP Puzzle?," Review of International Economics, Wiley Blackwell, vol. 17(3), pages 570-587, August.
    25. Imed Drine & Christophe Rault, 2005. "Can the Balassa-Samuelson theory explain long-run real exchange rate movements in OECD countries?," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 519-530.
    26. Koedijk, Kees G. & Tims, Ben & van Dijk, Mathijs A., 2011. "Why panel tests of purchasing power parity should allow for heterogeneous mean reversion," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 246-267, February.
    27. Lean Hooi Hooi & Russell Smyth, 2007. "Are Asian real exchange rates mean reverting? Evidence from univariate and panel LM unit root tests with one and two structural breaks," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2109-2120.
    28. Narayan Paresh K & Prasad Biman Chand, 2005. "The Validity of Purchasing Power Parity Hypothesis for Eleven Middle Eastern Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 3(2), pages 44-58, August.
    29. Qiu, Mei & Pinfold, John F. & Rose, Lawrence C., 2011. "Predicting foreign exchange movements using historic deviations from PPP," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 485-497, October.
    30. Amuedo-Dorantes, Catalina & Pozo, Susan, 2004. "Workers' Remittances and the Real Exchange Rate: A Paradox of Gifts," World Development, Elsevier, vol. 32(8), pages 1407-1417, August.

  23. Strauss, Jack, 2000. "Is there a permanent component in US real GDP," Economics Letters, Elsevier, vol. 66(2), pages 137-142, February.

    Cited by:

    1. Hanck, Christoph, 2008. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," MPRA Paper 11988, University Library of Munich, Germany.
    2. Stilianos Alexiadis & Matthias Koch & Tamás Krisztin, 2011. "Time series and spatial interaction: An alternative method to detect converging clusters," ERSA conference papers ersa11p1678, European Regional Science Association.
    3. Czudaj, Robert & Hanck, Christoph, 2013. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79734, Verein für Socialpolitik / German Economic Association.
    4. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2012. "The slow convergence of per capita income between the developing countries: ‘growth resistance’ and sometimes ‘growth tragedy’," Post-Print hal-01385800, HAL.
    5. 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.
    6. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2012. "Testing Catching-Up Between The Developing Countries: “Growth Resistance” And Sometimes “Growth Tragedy”," Bulletin of Economic Research, Wiley Blackwell, vol. 64(4), pages 470-508, October.
    7. Hanck Christoph, 2009. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    8. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2002. "Level shifts in a panel data based unit root test. An application to the rate of unemployment," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C5-2, International Conferences on Panel Data.
    9. Evren Erdogan Cosar, 2002. "Price and Income Elasticities of Turkish Export Demand : A Panel Data Application," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 2(2), pages 19-53.

  24. Funk, Mark & Strauss, Jack, 2000. "The long-run relationship between productivity and capital," Economics Letters, Elsevier, vol. 69(2), pages 213-217, November.

    Cited by:

    1. Dinda, Soumyananda & Coondoo, Dipankor, 2006. "Income and emission: A panel data-based cointegration analysis," Ecological Economics, Elsevier, vol. 57(2), pages 167-181, May.
    2. María Santana-Gallego & Francisco Ledesma-Rodríguez & Jorge Pérez-Rodríguez, 2011. "Tourism and trade in OECD countries. A dynamic heterogeneous panel data analysis," Empirical Economics, Springer, vol. 41(2), pages 533-554, October.
    3. Ghassan, Hassan B., 2003. "Relations de Long Terme entre Investissement, Déficit Extérieur et Autofinancement sur un Panel Sectoriel
      [Long Run Relationships between Investment, Trade Deficit and Cash-Flow: Evidence from Sect
      ," MPRA Paper 56423, University Library of Munich, Germany, revised 10 Sep 2003.

  25. Fleissig, Adrian R. & Strauss, Jack, 1999. "Is OECD real per capita GDP trend or difference stationary? Evidence from panel unit root tests," Journal of Macroeconomics, Elsevier, vol. 21(4), pages 673-689.

    Cited by:

    1. Tsangyao Chang & Wen-Chi Liu & Shu-Chen Kang & Kuei-Chiu Lee, 2008. "Is Per Capita Real GDP Stationary in Latin American Countries? Evidence from a Panel Stationary Test with Structural Breaks," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.
    2. Lopez, Claude & Papell, David, 2010. "Testing for Group-Wise Convergence with an Application to Euro Area Inflation," MPRA Paper 20585, University Library of Munich, Germany.
    3. Andrew Phiri, 2018. "Robust analysis of convergence in per capita GDP in BRICS economies," Working Papers 1822, Department of Economics, Nelson Mandela University.
    4. Tsangyao Chang & Gengnan Chiang & Yichun Zhang, 2009. "Is volume index of gdp per capita stationary in oecd countries? panel stationary tests with structural breaks," Economics Bulletin, AccessEcon, vol. 29(2), pages 588-598.
    5. Marcheggiano, Gilberto & Miles, David K & Yang, Jing, 2011. "Optimal Bank Capital," CEPR Discussion Papers 8333, C.E.P.R. Discussion Papers.
    6. Dogru, Bülent, 2015. "Is Per Capıta Real GDP Stationary in High Income OECD Countrıes? Evidence from Panel Unıt Root Test With Multiple Structural Breaks," MPRA Paper 63856, University Library of Munich, Germany.
    7. K. Suresh & Aviral Tiwari, 2013. "Are Shocks to Real Output Permanent or Transitory? Evidence from a Panel of “Asean” Per Capita GDP Data," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(2), pages 149-157, October.
    8. Tsangyao Chang & Ching-Chun Wei & Chien-Chung Nieh, 2005. "Is Per Capita Real GDP Stationary? Evidence from Selected African Countries Based on More Powerful Nonlinear (Logistic) Unit Root Tests," Economics Bulletin, AccessEcon, vol. 3(24), pages 1-9.
    9. Yeboah Asuamah, Samuel, 2016. "Are output fluctuations transitory or permanent in Ghana?," MPRA Paper 70270, University Library of Munich, Germany.
    10. Tsangyao Chang, 2011. "Is Per Capita Real GDP Stationary? An Empirical Note for 16 Transition Countries," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 10(1), pages 81-86, April.
    11. Aviral Tiwari & Amrit Chaudhari & K. Suresh, 2012. "Are Asian Per Capita GDP Stationary? Evidence from First and Second Generation Panel Unit Root Tests," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 3-11, September.
    12. Helmut Herwartz & Yabibal M. Walle, 2018. "A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility," Computational Statistics, Springer, vol. 33(1), pages 379-411, March.
    13. dogru, bulent, 2013. "Are Output Fluctuations Transitory in the MENA Region," MPRA Paper 51122, University Library of Munich, Germany.
    14. Chi-Wei Su & Yi-Sung Huang & Peirchyi Lii & Ning-Jun Zhang, 2007. "IS Per Capita Real GDP Stationary in China¡H Evidence Based on A Panel SURADF Approach," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.
    15. Ozturk, Ilhan & Kalyoncu, Huseyin, 2007. "Is Per Capita Real GDP Stationary in the OECD Countries? Evidence from a Panel Unit Root Test," MPRA Paper 9635, University Library of Munich, Germany.
    16. Romero-Ávila, Diego, 2009. "Multiple Breaks, Terms of Trade Shocks and the Unit-Root Hypothesis for African Per Capita Real GDP," World Development, Elsevier, vol. 37(6), pages 1051-1068, June.

  26. Strauss, Jack, 1999. "Productivity differentials, the relative price of non-tradables and real exchange rates," Journal of International Money and Finance, Elsevier, vol. 18(3), pages 383-409.

    Cited by:

    1. Nanno Mulder & Anne-Laure Baldi, 2004. "The Impact of Exchange Rate Regimes on Real Exchange Rates: ABC and Mexico in the 1990s," Econometric Society 2004 Latin American Meetings 45, Econometric Society.
    2. Mariam Camarero, "undated". "The real exchange rate of the dollar for a panel of OECD countries: Balassa-Samuelson or distribution sector effect?," Working Papers on International Economics and Finance 06-04, FEDEA.
    3. Parsley, David C., 2007. "Accounting for real exchange rate changes in East Asia," Journal of International Money and Finance, Elsevier, vol. 26(8), pages 1355-1377, December.
    4. Agnès Bénassy-Quéré & Dramane Coulibaly, 2013. "The Impact of Market Regulations on Intra-European Real Exchange Rates," Documents de travail du Centre d'Economie de la Sorbonne 13001, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Dong He & Wenlang Zhang & Gaofeng Han & Tommy Wu, 2012. "Productivity Growth of the Non-Tradable Sectors in China," Working Papers 082012, Hong Kong Institute for Monetary Research.
    6. Imed Drine & Christophe Rault, 2005. "Déterminants de long terme des taux de change réels pour les pays en développement : une comparaison internationale," Revue d’économie du développement, De Boeck Université, vol. 13(1), pages 123-150.
    7. Alper, Ahmet Murat & Civcir, İrfan, 2012. "Can overvaluation prelude to crisis and harm growth in Turkey," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 112-131.
    8. Romain Restout, 2008. "Monopolistic Competition and the Dependent Economy Model," EconomiX Working Papers 2008-9, University of Paris Nanterre, EconomiX.
    9. Javier Coto-Martinez & Juan C. Reboredo, 2014. "The Relative Price of Non-traded Goods under Imperfect Competition," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 24-40, February.
    10. Hunter, John & Menla Ali, Faek, 2014. "Money demand instability and real exchange rate persistence in the monetary model of USD–JPY exchange rate," Economic Modelling, Elsevier, vol. 40(C), pages 42-51.
    11. Christoph Fischer, 2004. "Real currency appreciation in accession countries: Balassa-Samuelson and investment demand," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 140(2), pages 179-210, June.
    12. José García Solanes & Fernando Torrejón Flores, 2005. "Testing the BalassA-Samuelson hypothesis in two different groups of countries: OECD and Latin America," Working Papers 05-02, Asociación Española de Economía y Finanzas Internacionales.
    13. Guillaumont Jeanney, Sylviane & HUA, Ping, 2002. "The Balassa-Samuelson effect and inflation in the Chinese provinces," China Economic Review, Elsevier, vol. 13(2-3), pages 134-160.
    14. Sylviane GUILLAUMONT JEANNENEY & Ping HUA, 2001. "The Balassa-Samuelson effect and inflation in the Chinese provinces," Working Papers 200106, CERDI.
    15. Goh, Soo Khoon & Mithani, Dawood, 2000. "Deviation from Purchasing Power Parity: Evidence from Malaysia, 1973–1997," MPRA Paper 51922, University Library of Munich, Germany.
    16. Landon, Stuart & Smith, Constance E., 2006. "Exchange rates and investment good prices: A cross-industry comparison," Journal of International Money and Finance, Elsevier, vol. 25(2), pages 237-256, March.
    17. Hong-Ghi Min, 2002. "Inequality, the price of nontradables, and the real exchange rate : theory and cross-country evidence," Policy Research Working Paper Series 2758, The World Bank.
    18. Sylviane Guillaumont Jeanneney & Ping Hua, 2002. "L'effet Balassa-Samuelson et les différences d'inflation entre les provinces chinoises," Revue d’économie du développement, De Boeck Université, vol. 10(3), pages 33-60.
    19. Leszek Wincenciak, 2008. "Balassa-Samuelson Effect in Poland: Is Real Convergence a Threat to Nominal One?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 20.
    20. Hong-Ghi Min & Sang-Ook Shin & Judith A. McDonald, 2015. "Income Inequality and the Real Exchange Rate: Linkages and Evidence," Annals of Economics and Finance, Society for AEF, vol. 16(1), pages 115-141, May.
    21. Ericsson, Johan & Irandoust, Manuchehr, 2004. "The productivity-bias hypothesis and the PPP theorem: new evidence from panel vector autoregressive models," Japan and the World Economy, Elsevier, vol. 16(2), pages 121-138, April.

  27. Jack Strauss, 1998. "Relative Price Determination in the Medium Run: The Influence of Wages, Productivity, and International Prices," Southern Economic Journal, Southern Economic Association, vol. 65(2), pages 223-244, October.

    Cited by:

    1. Tomas Holub & Martin Cihak, 2003. "Price Convergence: What Can the Balassa-Samuelson Model Tell Us?," Working Papers 2003/08, Czech National Bank, Research Department.
    2. Ricardo Faria, Joao & Leon-Ledesma, Miguel, 2003. "Testing the Balassa-Samuelson effect: Implications for growth and the PPP," Journal of Macroeconomics, Elsevier, vol. 25(2), pages 241-253, June.
    3. João Ricardo Faria & Miguel León-Ledesma, 2000. "Testing the Balassa-Samuelson Effect: Implications for Growth and PPP," Studies in Economics 0008, School of Economics, University of Kent.
    4. Olivier CARDI & Romain RESTOUT, 2013. "Imperfect Mobility of Labor across Sectors: a Reappraisal of the Balassa-Samuelson Effect," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2013002, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. John Sarich, 2006. "What do we know about the real exchange rate? A classical cost of production story," Review of Political Economy, Taylor & Francis Journals, vol. 18(4), pages 469-496.
    6. Achim Schmillen, 2011. "Are Wages Equal Across Sectors of Production? A Panel Data Analysis for Tradable and Non-Tradable Goods," Working Papers 102, Bavarian Graduate Program in Economics (BGPE).
    7. Achim Schmillen, 2013. "Are wages equal across sectors of production?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 655-682, October.
    8. Manuela Nenna, 2001. "Price Level Convergence among Italian Cities: Any Role for the Harrod-Balassa-Samuelson Hypothesis?," Working Papers 64, Sapienza University of Rome, CIDEI.

  28. Strauss, Jack, 1997. "The influence of traded and nontraded wages on relative prices and real exchange rates," Economics Letters, Elsevier, vol. 55(3), pages 391-395, September.

    Cited by:

    1. Jozef M. Van Brabant, 2001. "Exchange-rate policy in eastern Europe and EU integration," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 54(218), pages 219-248.
    2. Achim Schmillen, 2011. "Are Wages Equal Across Sectors of Production? A Panel Data Analysis for Tradable and Non-Tradable Goods," Working Papers 102, Bavarian Graduate Program in Economics (BGPE).
    3. Achim Schmillen, 2013. "Are wages equal across sectors of production?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 655-682, October.
    4. Jozef M. Van Brabant, 2001. "Exchange-rate policy in eastern Europe and EU integration," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 54(218), pages 219-248.
    5. Takao Fujii & Yoichi Matsubayashi, 2016. "The Balassa-Samuelson Effect and the Labor Market in Japan F1977-2008," Discussion Papers 1626, Graduate School of Economics, Kobe University.
    6. Robertson, Raymond, 2003. "Exchange rates and relative wages: evidence from Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 14(1), pages 25-48, March.

  29. Fleissig, Adrian R. & Strauss, Jack, 1997. "Unit root tests on real wage panel data for the G7," Economics Letters, Elsevier, vol. 56(2), pages 149-155, October.

    Cited by:

    1. Eva Samakovlis, 2003. "The Relationship between Waste Paper and Other Inputs in the Swedish Paper Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(2), pages 191-212, June.
    2. Bande, Roberto & Fernández, Melchor & Montuenga, Víctor, 2008. "Regional unemployment in Spain: Disparities, business cycle and wage setting," Labour Economics, Elsevier, vol. 15(5), pages 885-914, October.
    3. Fleissig, Adrian R. & Strauss, Jack, 1999. "Is OECD real per capita GDP trend or difference stationary? Evidence from panel unit root tests," Journal of Macroeconomics, Elsevier, vol. 21(4), pages 673-689.
    4. Fleissig, Adrian R. & Strauss, Jack, 2000. "Panel unit root tests of purchasing power parity for price indices," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 489-506, August.
    5. Evren Erdogan Cosar, 2002. "Price and Income Elasticities of Turkish Export Demand : A Panel Data Application," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 2(2), pages 19-53.

  30. Dutton, Marilyn & Strauss, Jack, 1997. "Cointegration tests of purchasing power parity: the impact of non-traded goods," Journal of International Money and Finance, Elsevier, vol. 16(3), pages 433-444, June.

    Cited by:

    1. Kakkar, Vikas, 2001. "Long run real exchange rates: evidence from Mexico," Economics Letters, Elsevier, vol. 72(1), pages 79-85, July.
    2. Alexius, Annika & Post, Erik, 2006. "Cointegration and the stabilizing role of exchange rates," Working Paper Series 2006:8, Uppsala University, Department of Economics.
    3. Frank Westerhoff & Claudia Lawrenz, 2000. "Explaining Exchange Rate Volatility With A Genetic Algorithm," Computing in Economics and Finance 2000 325, Society for Computational Economics.
    4. Serttas, Fatma Ozgu, 2010. "Essays on infinite-variance stable errors and robust estimation procedures," ISU General Staff Papers 201001010800002742, Iowa State University, Department of Economics.
    5. Amalia Zumaquero & Rodrigo Urrea, 2002. "Purchasing Power Parity: Error Correction Models and Structural Breaks," Open Economies Review, Springer, vol. 13(1), pages 5-26, January.
    6. Fleissig, Adrian R. & Strauss, Jack, 2000. "Panel unit root tests of purchasing power parity for price indices," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 489-506, August.
    7. Strauss, Jack, 1999. "Productivity differentials, the relative price of non-tradables and real exchange rates," Journal of International Money and Finance, Elsevier, vol. 18(3), pages 383-409.
    8. 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.
    9. Salehizadeh, Mehdi & Taylor, Robert, 1999. "A test of purchasing power parity for emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 183-193, April.
    10. Denisard Alves & Regina Celia Cati & Vera Lucia Fava, 2001. "Purchasing power parity in Brazil: a test for fractional cointegration," Applied Economics, Taylor & Francis Journals, vol. 33(9), pages 1175-1185.
    11. Groth, Charlotta & Zampolli, Fabrizio, 2010. "Macroeconomic stability and the real interest rate: a cross-country analysis," Discussion Papers 30, Monetary Policy Committee Unit, Bank of England.

  31. Strauss, Jack, 1996. "The cointegrating relationship between productivity, real exchange rates and purchasing power parity," Journal of Macroeconomics, Elsevier, vol. 18(2), pages 299-313.

    Cited by:

    1. Chinn, M.D., 1997. "The Usual Suspects? Productivity and Demand Shocks and Asia-Pacific Real Exchange Rates," Papers 97-06, Economisch Institut voor het Midden en Kleinbedrijf-.
    2. Agnès Bénassy-Quéré & Dramane Coulibaly, 2013. "The Impact of Market Regulations on Intra-European Real Exchange Rates," Documents de travail du Centre d'Economie de la Sorbonne 13001, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Lambrias, Kyriacos, 2011. "World Technology Shocks and the Real Euro-Dollar Exchange Rate," TSE Working Papers 11-261, Toulouse School of Economics (TSE).
    4. Alper, Ahmet Murat & Civcir, İrfan, 2012. "Can overvaluation prelude to crisis and harm growth in Turkey," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 112-131.
    5. Christoph Fischer, 2004. "Real currency appreciation in accession countries: Balassa-Samuelson and investment demand," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 140(2), pages 179-210, June.
    6. Alexius, Annika & Post, Erik, 2006. "Cointegration and the stabilizing role of exchange rates," Working Paper Series 2006:8, Uppsala University, Department of Economics.
    7. Joscha Beckmann & Ansgar Belke & Robert Czudaj, 2015. "Productivity Shocks and Real Effective Exchange Rates," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 502-515, August.
    8. Kenneth S. Lin, 1996. "Private Consumption, Nontraded Goods and Real Exchange Rate: A Cointegration_Euler Equation Approach," NBER Working Papers 5731, National Bureau of Economic Research, Inc.
    9. Camarero, Mariam & Tamarit, Cecilio, 2002. "A panel cointegration approach to the estimation of the peseta real exchange rate," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 371-393, September.
    10. Grossmann, Axel & Simpson, Marc W. & Brown, Cynthia J., 2009. "The impact of deviation from relative purchasing power parity equilibrium on U.S. foreign direct investment," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 521-550, May.
    11. Debabrata Bagchi & Georgios E. Chortareas & Stephen M. Miller, 2003. "The Real Exchange Rate in Small Open Developed Economies: Evidence from Cointegration Analysis," Working papers 2003-27, University of Connecticut, Department of Economics.
    12. Pham Van Ha & Tom Kompas, 2008. "Productivity and Exchange Rate Dynamics: Supporting the Harrod-Balassa-Samuelson Hypothesis through an ‘Errors in Variables’ Analysis," International and Development Economics Working Papers idec08-03, International and Development Economics.

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