IDEAS home Printed from https://ideas.repec.org/f/pwa252.html
   My authors  Follow this author

Tatsuma Wada

Personal Details

First Name:Tatsuma
Middle Name:
Last Name:Wada
Suffix:
RePEc Short-ID:pwa252
Terminal Degree:2006 Department of Economics; Boston University (from RePEc Genealogy)

Affiliation

Faculty of Policy Management
Keio University

Tokyo, Japan
http://www.sfc.keio.ac.jp/

:

5322 Endo, Fujisawa-shi, Kanagawa 252-0882
RePEc:edi:fpkeijp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2012. "International Stock Market Efficiency: A Non-Bayesian Time-Varying Model Approach," Papers 1203.5176, arXiv.org, revised May 2014.
  2. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2012. "The Evolution of Stock Market Efficiency in the US: A Non-Bayesian Time-Varying Model Approach," Papers 1202.0100, arXiv.org, revised Aug 2015.
  3. Wada, Tatsuma, 2011. "On the Correlations of Trend-Cycle Errors," MPRA Paper 41754, University Library of Munich, Germany.
  4. Wada, Tatsuma, 2011. "The Real Exchange Rate and Real Interest Differentials: The Role of the Trend-Cycle Decomposition," MPRA Paper 41755, University Library of Munich, Germany.
  5. Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.
  6. Tatsuma Wada & Pierre Perron, 2005. "Trend and Cycles: A New Approach and Explanations of Some Old Puzzles," Computing in Economics and Finance 2005 252, Society for Computational Economics.
  7. Tatsuma Wada & Pierre Perron, 2005. "An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2005-43, Boston University - Department of Economics.
  8. Pierre Perron† & Tatsuma Wada, 2005. "Let’s Take a Break: Trends and Cycles in US Real GDP?," Boston University - Department of Economics - Working Papers Series WP2005-031, Boston University - Department of Economics, revised Oct 2005.

Articles

  1. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2015. "Asymmetries in the response of economic activity to oil price increases and decreases?," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 108-133.
  2. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2014. "International stock market efficiency: a non-Bayesian time-varying model approach," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2744-2754, August.
  3. Wada, Tatsuma, 2014. "The Role Of Transitory And Persistent Shocks In The Consumption Correlation And International Comovement Puzzles," Macroeconomic Dynamics, Cambridge University Press, vol. 18(06), pages 1234-1270, September.
  4. Wada, Tatsuma, 2012. "On the correlations of trend–cycle errors," Economics Letters, Elsevier, vol. 116(3), pages 396-400.
  5. Tatsuma Wada, 2012. "The Real Exchange Rate And Real Interest Differentials: The Role Of The Trend-Cycle Decomposition," Economic Inquiry, Western Economic Association International, vol. 50(4), pages 968-987, October.
  6. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2011. "Oil Price Shocks And Industrial Production: Is The Relationship Linear?," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 472-497, November.
  7. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Tatsuma Wada & Pierre Perron, 2005. "Trend and Cycles: A New Approach and Explanations of Some Old Puzzles," Computing in Economics and Finance 2005 252, Society for Computational Economics.

    Mentioned in:

    1. Efectos no neutrales en los shocks monetarios
      by Nicolas Cachanosky in Punto de Vista Economico on 2013-11-15 09:01:59

Working papers

  1. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2012. "International Stock Market Efficiency: A Non-Bayesian Time-Varying Model Approach," Papers 1203.5176, arXiv.org, revised May 2014.

    Cited by:

    1. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    2. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    3. Noda, Akihiko, 2016. "A test of the adaptive market hypothesis using a time-varying AR model in Japan," Finance Research Letters, Elsevier, vol. 17(C), pages 66-71.
    4. Charfeddine, Lanouar & Khediri, Karim Ben & Aye, Goodness C. & Gupta, Rangan, 2018. "Time-varying efficiency of developed and emerging bond markets: Evidence from long-spans of historical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 632-647.
    5. Achal Awasthi & Oleg Malafeyev, 2015. "Is the Indian Stock Market efficient - A comprehensive study of Bombay Stock Exchange Indices," Papers 1510.03704, arXiv.org.
    6. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2017. "An Alternative Estimation Method of a Time-Varying Parameter Model," Papers 1707.06837, arXiv.org, revised Dec 2017.
    7. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2016. "Time-Varying Comovement of Foreign Exchange Markets," Papers 1610.04334, arXiv.org.

  2. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2012. "The Evolution of Stock Market Efficiency in the US: A Non-Bayesian Time-Varying Model Approach," Papers 1202.0100, arXiv.org, revised Aug 2015.

    Cited by:

    1. Richard S.Grossman, 2017. "Stocks for the Long Run: New Monthly Indices of British Equities, 1869-1929," Wesleyan Economics Working Papers 2017-004, Wesleyan University, Department of Economics.
    2. Taylor, Nick, 2014. "The rise and fall of technical trading rule success," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 286-302.
    3. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    4. Noda, Akihiko, 2016. "A test of the adaptive market hypothesis using a time-varying AR model in Japan," Finance Research Letters, Elsevier, vol. 17(C), pages 66-71.
    5. Mikio Ito & Kiyotaka Maeda & Akihiko Noda, 2017. "Discretion versus Policy Rules in Futures Markets: A Case of the Osaka-Dojima Rice Exchange, 1914-1939," Papers 1704.00985, arXiv.org, revised Jan 2018.
    6. Mikio Ito & Kiyotaka Maeda & Akihiko Noda, 2014. "Market Efficiency and Government Interventions in Prewar Japanese Rice Futures Markets," Papers 1404.1164, arXiv.org, revised Feb 2017.
    7. Charfeddine, Lanouar & Khediri, Karim Ben & Aye, Goodness C. & Gupta, Rangan, 2018. "Time-varying efficiency of developed and emerging bond markets: Evidence from long-spans of historical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 632-647.
    8. Mikio Ito & Kiyotaka Maeda & Akihiko Noda, 2018. "The futures premium and rice market efficiency in prewar Japan," Economic History Review, Economic History Society, vol. 71(3), pages 909-937, August.
    9. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

  3. Wada, Tatsuma, 2011. "The Real Exchange Rate and Real Interest Differentials: The Role of the Trend-Cycle Decomposition," MPRA Paper 41755, University Library of Munich, Germany.

    Cited by:

    1. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.

  4. Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.

    Cited by:

    1. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    2. Rasmus Tangsgaard Varneskov & Pierre Perron, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," CREATES Research Papers 2011-26, Department of Economics and Business Economics, Aarhus University.
    3. Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
    4. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.
    5. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    6. Karim Barhoumi & Reda Cherif & Nooman Rebei, 2016. "Stochastic Trends, Debt Sustainability and Fiscal Policy," IMF Working Papers 16/59, International Monetary Fund.
    7. Tara Sinclair & Sinchan Mitra, 2008. "Output Fluctuations in the G-7: An Unobserved Components Approach," Working Papers 2008-04, The George Washington University, Institute for International Economic Policy.
    8. Gabriel Rodríguez, 2015. "Modeling Latin-American Stock Markets Volatility: Varying Probabilities and Mean Reversion in a Random Level Shifts Model," Documentos de Trabajo / Working Papers 2015-403, Departamento de Economía - Pontificia Universidad Católica del Perú.
    9. Rodríguez, Gabriel & Tramontana, Roxana, 2015. "An Application of a Short Memory Model with Random Level Shifts to the Volatility of Latin American Stock Market Returns," Working Papers 2015-004, Banco Central de Reserva del Perú.

  5. Tatsuma Wada & Pierre Perron, 2005. "Trend and Cycles: A New Approach and Explanations of Some Old Puzzles," Computing in Economics and Finance 2005 252, Society for Computational Economics.

    Cited by:

    1. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Testing for Shifts in Trend With an Integrated or Stationary Noise Component," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 369-396.
    2. B. Bhaskara Rao, 2010. "Deterministic and stochastic trends in the time series models: a guide for the applied economist," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2193-2202.
    3. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    4. Arabinda Basistha, 2009. "Hours per capita and productivity: evidence from correlated unobserved components models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 187-206.
    5. Arabinda Basistha, 2007. "Trend-cycle correlation, drift break and the estimation of trend and cycle in Canadian GDP," Canadian Journal of Economics, Canadian Economics Association, vol. 40(2), pages 584-606, May.

  6. Tatsuma Wada & Pierre Perron, 2005. "An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2005-43, Boston University - Department of Economics.

    Cited by:

    1. Junior A. Ojeda Cunya & Gabriel Rodríguez, 2016. "An application of a random level shifts model to the volatility of Peruvian stock and exchange rate returns," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(1), pages 34-55, March.
    2. Gabriel Rodríguez, 2015. "Modeling Latin-American Stock Markets Volatility: Varying Probabilities and Mean Reversion in a Random Level Shifts Model," Documentos de Trabajo / Working Papers 2015-403, Departamento de Economía - Pontificia Universidad Católica del Perú.
    3. Rodríguez, Gabriel & Tramontana, Roxana, 2015. "An Application of a Short Memory Model with Random Level Shifts to the Volatility of Latin American Stock Market Returns," Working Papers 2015-004, Banco Central de Reserva del Perú.
    4. Benz, Ulrich & Hagist, Christian, 2008. "Technischer Anhang zu "Konjunktur und Generationenbilanz: Eine Analyse anhand des HP-Filters"," FZG Discussion Papers 23, University of Freiburg, Research Center for Generational Contracts (FZG).
    5. Raul Filipe C. Guerreiro & Paulo C. Rodrigues & Jorge M. L. G. Andraz, 2011. "A comparison of the cyclical evolution of various geographic areas of reference with Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  7. Pierre Perron† & Tatsuma Wada, 2005. "Let’s Take a Break: Trends and Cycles in US Real GDP?," Boston University - Department of Economics - Working Papers Series WP2005-031, Boston University - Department of Economics, revised Oct 2005.

    Cited by:

    1. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
    2. Guido Ascari & Efrem Castelnuovo & Lorenza Rossi, 2010. "Calvo vs. Rotemberg in a Trend Inflation World: An Empirical Investigation," "Marco Fanno" Working Papers 0116, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    4. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
    5. Dées, Stéphane & Pesaran, Hashem & Smith, Vanessa & Smith, Ron P., 2010. "Supply, demand and monetary policy shocks in a multi-country New Keynesian Model," Working Paper Series 1239, European Central Bank.
    6. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    7. David O. Cushman, 2012. "Mankiw vs. DeLong and Krugman on the CEA's Real GDP Forecasts in Early 2009: What Might a Time Series Econometrician Have Said?," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 309-349, September.
    8. Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
    9. Rodríguez, Gabriel, 2017. "Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 393-420.
    10. Hanno Lustig & Adrien Verdelhan, 2011. "The Cross-Section of Foreign Currency Risk Premia and Consumption Growth Risk: Reply," American Economic Review, American Economic Association, vol. 101(7), pages 3477-3500, December.
    11. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 81869, London School of Economics and Political Science, LSE Library.
    12. Ulrich Haskamp, 2014. "Was Spanish fiscal policy sustainable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(2), pages 273-286, May.
    13. Andreas Fuster & Benjamin Hebert & David Laibson, 2012. "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 1-48.
    14. de Carvalho, Miguel & Rua, António, 2017. "Real-time nowcasting the US output gap: Singular spectrum analysis at work," International Journal of Forecasting, Elsevier, vol. 33(1), pages 185-198.
    15. Stephan B. Bruns & Zsuzsanna Csereklyei & David I. Stern, 2018. "A Multicointegration Model of Global Climate Change," CCEP Working Papers 1801, Centre for Climate Economics & Policy, Crawford School of Public Policy, The Australian National University.
    16. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
    17. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(02), pages 363-393, March.
    18. Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
    19. Philippe Bacchetta & Eric van Wincoop, 2006. "Incomplete information processing: a solution to the forward discount puzzle," Working Paper Series 2006-35, Federal Reserve Bank of San Francisco.
    20. Michael D. Bordo & Pierre Siklos, 2017. "Central Banks: Evolution and Innovation in Historical Perspective," Economics Working Papers 17105, Hoover Institution, Stanford University.
    21. Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016. "Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks," Working Papers 2016-04, University of Tasmania, Tasmanian School of Business and Economics.
    22. Fukuda, Kosei, 2012. "Illustrating extraordinary shocks causing trend breaks," Economic Modelling, Elsevier, vol. 29(4), pages 1045-1052.
    23. Junior A. Ojeda Cunya & Gabriel Rodríguez, 2016. "An application of a random level shifts model to the volatility of Peruvian stock and exchange rate returns," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(1), pages 34-55, March.
    24. Tatsuma Wada & Pierre Perron, 2005. "An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2005-44, Boston University - Department of Economics.
    25. Philippe Moës, 2012. "Multivariate models with dual cycles: implications for output gap and potential growth measurement," Empirical Economics, Springer, vol. 42(3), pages 791-818, June.
    26. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    27. Francisco Estrada & Pierre Perron, "undated". "Detection and attribution of climate change through econometric methods," Boston University - Department of Economics - Working Papers Series 2013-015, Boston University - Department of Economics.
    28. Tara Sinclair & Sinchan Mitra, 2008. "Output Fluctuations in the G-7: An Unobserved Components Approach," Working Papers 2008-04, The George Washington University, Institute for International Economic Policy.
    29. Yamada Hiroshi & Yoon Gawon, 2016. "Selecting the tuning parameter of the ℓ1 trend filter," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 97-105, February.
    30. Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.
    31. Yasutomo Murasawa, 2016. "The Beveridge–Nelson decomposition of mixed-frequency series," Empirical Economics, Springer, vol. 51(4), pages 1415-1441, December.
    32. Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
    33. Du, Ding & Hu, Ou, 2014. "The long-run component of foreign exchange volatility and stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 268-284.
    34. Mardi Dungey & Jan P. A. M. Jacobs & Jing Tian & Simon van Norden, 2013. "Trend-cycle decomposition: implications from an exact structural identification," Working Papers 13-22, Federal Reserve Bank of Philadelphia.
    35. Todd E. Clark & Taisuke Nakata, 2006. "The trend growth rate of employment : past, present, and future," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 43-85.
    36. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
    37. Kim, Chang-Jin & Kim, Jaeho, 2013. "The `Pile-up Problem' in Trend-Cycle Decomposition of Real GDP: Classical and Bayesian Perspectives," MPRA Paper 51118, University Library of Munich, Germany.
    38. McNown, Robert & Seip, Knut Lehre, 2011. "Periods and structural breaks in US economic history 1959-2007," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 169-182, March.
    39. Gabriel Rodríguez, 2015. "Modeling Latin-American Stock Markets Volatility: Varying Probabilities and Mean Reversion in a Random Level Shifts Model," Documentos de Trabajo / Working Papers 2015-403, Departamento de Economía - Pontificia Universidad Católica del Perú.
    40. Olivier Darné & Amélie Charles, 2008. "The impact of outliers on transitory and permanent components in macroeconomic time series," Economics Bulletin, AccessEcon, vol. 3(60), pages 1-9.
    41. Rachael McCririck & Daniel Rees, 2016. "The Slowdown in US Productivity Growth: Breaks and Beliefs," RBA Research Discussion Papers rdp2016-08, Reserve Bank of Australia.
    42. Kushal Banik Chowdhury & Nityananda Sarkar, 2017. "Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 427-449, September.
    43. Enders, Walter & Li, Jing, 2015. "Trend-cycle decomposition allowing for multiple smooth structural changes in the trend of US real GDP," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 71-81.
    44. Yoon, Gawon, 2015. "Locating change-points in Hodrick–Prescott trends with an application to US real GDP: A generalized unobserved components model approach," Economic Modelling, Elsevier, vol. 45(C), pages 136-141.
    45. Soloschenko, Max & Weber, Enzo, 2012. "Trend-Cycle Interactions and the Subprime Crisis: Analysis of US and Canadian Output," University of Regensburg Working Papers in Business, Economics and Management Information Systems 470, University of Regensburg, Department of Economics.
    46. Rodríguez, Gabriel & Tramontana, Roxana, 2015. "An Application of a Short Memory Model with Random Level Shifts to the Volatility of Latin American Stock Market Returns," Working Papers 2015-004, Banco Central de Reserva del Perú.
    47. Steven M. Fazzari & James Morley & Irina B. Panovska, 2017. "When Do Discretionary Changes in Government Spending or Taxes Have Larger Effects?," Discussion Papers 2017-04, School of Economics, The University of New South Wales.
    48. T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
    49. Stephan, Gaëtan & Lecumberry, Julien, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Economics Letters, Elsevier, vol. 136(C), pages 49-54.
    50. Gaëtan Stephan & Julien Lecumberry, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Post-Print halshs-01238494, HAL.
    51. Giovanni Razzu & Carl Singleton, 2013. "Are Business Cycles Gender Neutral?," Economics & Management Discussion Papers em-dp2013-07, Henley Business School, Reading University.
    52. Wada, Tatsuma, 2012. "On the correlations of trend–cycle errors," Economics Letters, Elsevier, vol. 116(3), pages 396-400.
    53. James Morley, 2014. "Measuring Economic Slack: A Forecast-Based Approach with Applications to Economies in Asia and the Pacific," BIS Working Papers 451, Bank for International Settlements.
    54. Pierre Perron & Francisco Estrada & Carlos Gay-García & Benjamín Martínez-López, 2011. "A time-series analysis of the 20th century climate simulations produced for the IPCC’s AR4," Boston University - Department of Economics - Working Papers Series WP2011-051, Boston University - Department of Economics.
    55. Perricone, Chiara, 2018. "Clustering macroeconomic variables," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 23-33.
    56. Wang, J. Christina, 2014. "Vanishing procyclicality of productivity?: industry evidence," Working Papers 14-15, Federal Reserve Bank of Boston.
    57. Polbin, Andrey & Skrobotov, Anton, 2017. "Спектральная Оценка Компоненты Бизнес Цикла Ввп России С Учетом Высокой Зависимости От Условий Торговли
      [Spectral estimation of the business cycle component of the Russian GDP under high dependence
      ," MPRA Paper 78667, University Library of Munich, Germany.

Articles

  1. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2015. "Asymmetries in the response of economic activity to oil price increases and decreases?," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 108-133.

    Cited by:

    1. Luiggi Donayre & Neil A. Wilmot, 2016. "The Asymmetric Effects of Oil Price Shocks on the Canadian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 167-182.
    2. Christiane Baumeister & Lutz Kilian, 2016. "Lower Oil Prices and the U.S. Economy: Is This Time Different?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 287-357.
    3. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
    4. Herrera, Ana María & Karaki, Mohamad B., 2015. "The effects of oil price shocks on job reallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 95-113.
    5. Malikov, Emir, 2015. "Dynamic Responses to Oil Price Shocks: Conditional vs Unconditional (A)symmetry," MPRA Paper 68453, University Library of Munich, Germany.
    6. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    7. Kasey Buckles & Daniel Hungerman & Steven Lugauer, 2018. "Is Fertility a Leading Economic Indicator?," NBER Working Papers 24355, National Bureau of Economic Research, Inc.
    8. Rehman, Mobeen Ur, 2018. "Do oil shocks predict economic policy uncertainty?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 123-136.
    9. Yin, Libo & Zhou, Yimin, 2016. "What drives long-term oil market volatility? Fundamentals versus Speculation," Economics Discussion Papers 2016-2, Kiel Institute for the World Economy (IfW).
    10. Yeliz Yalcin & Cengiz Arikan & Furkan Emirmahmutoglu, 2015. "Determining the asymmetric effects of oil price changes on macroeconomic variables: a case study of Turkey," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 737-746, November.
    11. Sam Olofin & Afees A. Salisu, 2017. "Modelling oil price-inflation nexus: The role of asymmetries and structural breaks," Working Papers 020, Centre for Econometric and Allied Research, University of Ibadan.
    12. Heidorn, Thomas & Van Huellen, Sophie & Ruehl, C. & Woebbeking, F., 2017. "The long- and short-run impact of oil price changes on major global economies," Frankfurt School - Working Paper Series 225, Frankfurt School of Finance and Management.
    13. Brown, Stephen P.A., 2018. "New estimates of the security costs of U.S. oil consumption," Energy Policy, Elsevier, vol. 113(C), pages 171-192.
    14. Atalla, Tarek & Blazquez, Jorge & Hunt, Lester C. & Manzano, Baltasar, 2017. "Prices versus policy: An analysis of the drivers of the primary fossil fuel mix," Energy Policy, Elsevier, vol. 106(C), pages 536-546.
    15. Sek, Siok Kun, 2017. "Impact of oil price changes on domestic price inflation at disaggregated levels: Evidence from linear and nonlinear ARDL modeling," Energy, Elsevier, vol. 130(C), pages 204-217.
    16. Thomas Walther & Lanouar Charfeddine & Tony Klein, 2018. "Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?," Working Papers on Finance 1816, University of St. Gallen, School of Finance.
    17. Andrzej Geise & Mariola Pilatowska, 2016. "Asymmetries in the relationship between economic activity and oil prices in the selected EU countries," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 65-86.

  2. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2014. "International stock market efficiency: a non-Bayesian time-varying model approach," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2744-2754, August.
    See citations under working paper version above.
  3. Tatsuma Wada, 2012. "The Real Exchange Rate And Real Interest Differentials: The Role Of The Trend-Cycle Decomposition," Economic Inquiry, Western Economic Association International, vol. 50(4), pages 968-987, October.
    See citations under working paper version above.
  4. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2011. "Oil Price Shocks And Industrial Production: Is The Relationship Linear?," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 472-497, November.

    Cited by:

    1. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 201470, University of Pretoria, Department of Economics.
    2. Dong Heon Kim, 2010. "What is an oil shock? Panel data evidence," Discussion Paper Series 1007, Institute of Economic Research, Korea University.
    3. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    4. Suliman Zakaria S. Abdalla, 2014. "The Impact of Oil Price Fluctuations on the Sudanese Stock Market Performance," Working Papers 887, Economic Research Forum, revised Dec 2014.
    5. Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2012. "Can Oil Prices Forecast Exchange Rates?," NBER Working Papers 17998, National Bureau of Economic Research, Inc.
    6. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, vol. 41(C), pages 137-146.
    7. Tovonony Razafindrabe & Valérie Mignon & Marc Joëts, 2016. "Does the volatility of commodity prices reflects macroeconomic uncertainty?," Post-Print hal-01667080, HAL.
    8. Luiggi Donayre & Neil A. Wilmot, 2016. "The Asymmetric Effects of Oil Price Shocks on the Canadian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 167-182.
    9. Francesco Ravazzolo & Joaquin Vespignani, 2017. "World steel production: A new monthly indicator of global real economic activity," CAMA Working Papers 2017-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Karl Pinno and Apostolos Serletis, 2013. "Oil Price Uncertainty and Industrial Production," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    11. Rahman, Sajjadur, 2016. "Another perspective on gasoline price responses to crude oil price changes," Energy Economics, Elsevier, vol. 55(C), pages 10-18.
    12. Christiane Baumeister & Lutz Kilian, 2016. "Lower Oil Prices and the U.S. Economy: Is This Time Different?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 287-357.
    13. Trabelsi, Nader, 2017. "Asymmetric tail dependence between oil price shocks and sectors of Saudi Arabia System," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 26-41.
    14. Kilian, Lutz & Vigfusson, Robert J., 2012. "Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries," CEPR Discussion Papers 8980, C.E.P.R. Discussion Papers.
    15. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
    16. Chow, Sheung Chi & Vieito, João Paulo & Wong, Wing-Keung, 2018. "Do both demand-following and supply-leading theories hold true in developing countries?," MPRA Paper 87641, University Library of Munich, Germany.
    17. Herrera, Ana María & Karaki, Mohamad B., 2015. "The effects of oil price shocks on job reallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 95-113.
    18. Ron Alquist & Lutz Kilian & Robert J. Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    19. Raza, Syed Ali & Shahbaz, Muhammad & Amir-ud-Din, Rafi & Sbia, Rashid & Shah, Nida, 2018. "Testing for wavelet based time-frequency relationship between oil prices and US economic activity," Energy, Elsevier, vol. 154(C), pages 571-580.
    20. Castro, César & Jiménez-Rodríguez, Rebeca, 2017. "Oil price pass-through along the price chain in the euro area," Energy Economics, Elsevier, vol. 64(C), pages 24-30.
    21. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    22. Claudio Morana, 2012. "The Oil price-Macroeconomy Relationship since the Mid- 1980s: A global perspective," Working Papers 2012.28, Fondazione Eni Enrico Mattei.
    23. An, Lian & Jin, Xiaoze & Ren, Xiaomei, 2014. "Are the macroeconomic effects of oil price shock symmetric?: A Factor-Augmented Vector Autoregressive approach," Energy Economics, Elsevier, vol. 45(C), pages 217-228.
    24. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," MPRA Paper 81638, University Library of Munich, Germany.
    25. Elena María Díaz & Juan Carlos Molero & Fernando Pérez de Gracia, 2016. "Oil price volatility and stock returns in the G7 economies," Faculty Working Papers 03/16, School of Economics and Business Administration, University of Navarra.
    26. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    27. Thomas Knetsch & Alexander Molzahn, 2012. "Supply-side effects of strong energy price hikes in German industry and transportation," Empirical Economics, Springer, vol. 43(3), pages 1215-1238, December.
    28. Kilian, Lutz & Vigfusson, Robert J., 2014. "The Role of Oil Price Shocks in Causing U.S. Recessions," International Finance Discussion Papers 1114, Board of Governors of the Federal Reserve System (U.S.).
    29. Bachmeier, Lance J. & Nadimi, Soheil R., 2018. "Oil shocks and stock return volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 1-9.
    30. Valcarcel, Victor J. & Wohar, Mark E., 2013. "Changes in the oil price-inflation pass-through," Journal of Economics and Business, Elsevier, vol. 68(C), pages 24-42.
    31. Herrera, Ana María & Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2017. "Where do jobs go when oil prices drop?," Energy Economics, Elsevier, vol. 64(C), pages 469-482.
    32. Mario Porqueddu & Fabrizio Venditti, 2012. "Do food commodity prices have asymmetric effects on Euro-Area inflation?," Temi di discussione (Economic working papers) 878, Bank of Italy, Economic Research and International Relations Area.
    33. Gao, Liping & Kim, Hyeongwoo & Saba, Richard, 2014. "How Do Oil Price Shocks Affect Consumer Prices?," MPRA Paper 57259, University Library of Munich, Germany.
    34. Ravazzolo, Francesco & Vespignani, Joaquin, 2015. "A new monthly indicator of global real economic activity," Working Papers 2015-07, University of Tasmania, Tasmanian School of Business and Economics.
    35. Melichar, Mark, 2016. "Energy price shocks and economic activity: Which energy price series should we be using?," Energy Economics, Elsevier, vol. 54(C), pages 431-443.
    36. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2015. "Asymmetries in the response of economic activity to oil price increases and decreases?," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 108-133.
    37. Karaki, Mohamad B., 2017. "Nonlinearities in the response of real GDP to oil price shocks," Economics Letters, Elsevier, vol. 161(C), pages 146-148.
    38. Kostas Mavromaras & M-Ali Sotoudeh & Andrew C. Worthington, 2017. "Responses of Economic Activity to Global Oil Market Shocks: A Comparative Analysis of Major Net Oil-Producing and -Consuming Countries," The Economic Record, The Economic Society of Australia, vol. 93, pages 70-85, June.
    39. Serletis, Apostolos & Istiak, Khandokar, 2013. "Is the oil price–output relation asymmetric?," The Journal of Economic Asymmetries, Elsevier, vol. 10(1), pages 10-20.
    40. Elstner, Steffen, 2012. "Uncertainty, heterogeneous expectation errors and economic activity: evidence from business survey data," Munich Dissertations in Economics 14037, University of Munich, Department of Economics.
    41. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2018. "The impact of oil-market shocks on stock returns in major oil-exporting countries," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 264-280.
    42. Kilian, Lutz & Vigfusson, Robert J., 2011. "Nonlinearities In The Oil Price–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 337-363, November.
    43. Alsalman, Zeina, 2016. "Oil price uncertainty and the U.S. stock market analysis based on a GARCH-in-mean VAR model," Energy Economics, Elsevier, vol. 59(C), pages 251-260.
    44. Julien Chevallier, 2013. "Price relationships in crude oil futures: new evidence from CFTC disaggregated data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(2), pages 133-170, April.
    45. Shiyi Chen & Dengke Chen & Wolfgang K. Härdle, 2014. "The Influence of Oil Price Shocks on China’s Macroeconomy : A Perspective of International Trade," SFB 649 Discussion Papers SFB649DP2014-063, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  5. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ETS: Econometric Time Series (3) 2005-11-19 2006-10-28 2012-02-15
  2. NEP-MAC: Macroeconomics (2) 2005-11-19 2006-10-28
  3. NEP-CWA: Central & Western Asia (1) 2012-02-15
  4. NEP-ECM: Econometrics (1) 2006-10-28
  5. NEP-FIN: Finance (1) 2006-03-18
  6. NEP-FMK: Financial Markets (1) 2006-03-18
  7. NEP-IFN: International Finance (1) 2006-03-18
  8. NEP-INT: International Trade (1) 2006-03-18
  9. NEP-UPT: Utility Models & Prospect Theory (1) 2006-03-18

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Tatsuma Wada should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.