IDEAS home Printed from https://ideas.repec.org/e/pts96.html
   My authors  Follow this author

Yoichi Tsuchiya

Personal Details

First Name:Yoichi
Middle Name:
Last Name:Tsuchiya
Suffix:
RePEc Short-ID:pts96
[This author has chosen not to make the email address public]
https://sites.google.com/site/yoichitsuchiya/

Affiliation

School of Commerce
Meiji University

Tokyo, Japan
http://www.meiji.ac.jp/shogaku/
RePEc:edi:scmeijp (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Yoichi Tsuchiya, 2023. "Asymmetric loss and the rationality of consumers’ inflation forecasts: evidence from the US," Applied Economics Letters, Taylor & Francis Journals, vol. 30(10), pages 1298-1307, June.
  2. Young Bin Ahn & Yoichi Tsuchiya, 2023. "Consumers’ perceived and expected inflation in South Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 30(11), pages 1561-1565, June.
  3. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
  4. Young Bin Ahn & Yoichi Tsuchiya, 2023. "Directional Accuracy Of Singapore’S Macroeconomic Forecasts," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(05), pages 1569-1583, September.
  5. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.
  6. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
  7. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
  8. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.
  9. Yoichi Tsuchiya, 2021. "Multivariate asymmetric loss functions of the European Central Bank," Applied Economics Letters, Taylor & Francis Journals, vol. 28(12), pages 1026-1030, July.
  10. Yoichi Tsuchiya, 2021. "The predictive power of ECB’s interval forecasts over point forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1413-1418, September.
  11. Young Bin Ahn & Yoichi Tsuchiya, 2021. "Asymmetric Loss of Macroeconomic Forecasts in South Asia: Evidence from the SPF Survey of India, Indonesia, and Singapore," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3489-3507, September.
  12. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.
  13. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
  14. Young Bin Ahn & Yoichi Tsuchiya, 2019. "Asymmetric Loss and the Rationality of Inflation Forecasts: Evidence from South Korea," Pacific Economic Review, Wiley Blackwell, vol. 24(4), pages 588-605, October.
  15. Young Bin Ahn & Yoichi Tsuchiya, 2016. "Directional analysis of consumers’ forecasts of inflation in a small open economy: evidence from South Korea," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 854-864, February.
  16. Tsuchiya, Yoichi, 2016. "Dynamic Laffer curves, population growth and public debt overhangs," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 40-52.
  17. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
  18. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
  19. Tsuchiya, Yoichi, 2016. "Directional analysis of fiscal sustainability: Revisiting Domar's debt sustainability condition," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 189-201.
  20. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
  21. Yoichi Tsuchiya & David McMillan, 2015. "Linkages among commodity futures prices in the recent financial crisis: An application of cointegration tests with a structural break," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1012436-101, December.
  22. Yoichi Tsuchiya, 2015. "Simple Analytics of the Dynamic Laffer Curve Under Alternative Financing Schemes," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 61(3), pages 199-227.
  23. Yoichi Tsuchiya & Satoshi Suehara, 2015. "Directional accuracy tests of Chinese renminbi forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 13(4), pages 397-406, November.
  24. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
  25. Y. Tsuchiya & T. Kato, 2015. "Asymmetric loss and herding behaviour of exchange rate forecasters: evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5841-5852, November.
  26. Y. Tsuchiya, 2014. "A directional evaluation of corporate executives' exchange rate forecasts," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 95-101, January.
  27. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.
  28. Yoichi Tsuchiya, 2014. "Joint evaluation of the directional accuracy of federal budget forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 582-585, May.
  29. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
  30. Y. Tsuchiya, 2013. "Joint evaluation of the directional accuracy of corporate executives' forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1193-1196, August.
  31. Tsuchiya, Yoichi, 2013. "Are government and IMF forecasts useful? An application of a new market-timing test," Economics Letters, Elsevier, vol. 118(1), pages 118-120.
  32. Y. Tsuchiya, 2013. "Are production managers' forecasts useful? Joint evaluation and robustness," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1403-1406, October.
  33. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
  34. Y. Tsuchiya, 2013. "Evaluating corporate executives' exchange rate forecasts under a flexible loss function," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1135-1138, August.
  35. Yoichi Tsuchiya, 2012. "Is the Purchasing Managers' Index useful for assessing the economy's strength? A directional analysis," Economics Bulletin, AccessEcon, vol. 32(2), pages 1302-1311.
  36. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
  37. Yoichi Tsuchiya, 2010. "Linkages among precious metals commodity futures prices: evidence from Tokyo," Economics Bulletin, AccessEcon, vol. 30(3), pages 1772-1777.

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. Yoichi Tsuchiya, 2021. "Multivariate asymmetric loss functions of the European Central Bank," Applied Economics Letters, Taylor & Francis Journals, vol. 28(12), pages 1026-1030, July.

    Cited by:

    1. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.

  2. Yoichi Tsuchiya, 2021. "The predictive power of ECB’s interval forecasts over point forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1413-1418, September.

    Cited by:

    1. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.

  3. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.

    Cited by:

    1. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.

  4. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.

    Cited by:

    1. Jakub Rybacki & Michał Gniazdowski, 2023. "Macroeconomic forecasting in Poland: lessons from the external shocks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 45-64.

  5. Young Bin Ahn & Yoichi Tsuchiya, 2019. "Asymmetric Loss and the Rationality of Inflation Forecasts: Evidence from South Korea," Pacific Economic Review, Wiley Blackwell, vol. 24(4), pages 588-605, October.

    Cited by:

    1. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    2. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    3. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.

  6. Tsuchiya, Yoichi, 2016. "Dynamic Laffer curves, population growth and public debt overhangs," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 40-52.

    Cited by:

    1. Mario Coccia, 2018. "National debts and government deficits within European Monetary Union: Statistical evidence of economic issues," Papers 1806.07830, arXiv.org.
    2. Coccia, Mario, 2017. "Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 17-31.
    3. Lin, Boqiang & Jia, Zhijie, 2019. "Tax rate, government revenue and economic performance: A perspective of Laffer curve," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    4. Menichini, Amilcar A., 2020. "How do firm characteristics affect the corporate income tax revenue?," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 146-162.

  7. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.

    Cited by:

    1. Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2020. "Proper scoring rules for evaluating asymmetry in density forecasting," Working Papers No 06/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    3. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    4. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    5. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    6. Michael Frenkel & Matthias Mauch & Jan-Christoph Rülke, 2017. "Forecaster Rationality and Expectation Formation in Foreign Exchange Markets: Do Emerging Markets Differ from Industrialized Economies?," WHU Working Paper Series - Economics Group 17-04, WHU - Otto Beisheim School of Management.
    7. Moumita Basu & Rilina Basu & Ranjanendra Narayan Nag, 2022. "A Dependent Economy Model of Employment, Real Exchange Rate and Debt Dynamics: Towards an Understanding of Pandemic Crisis," Foreign Trade Review, , vol. 57(1), pages 85-113, February.
    8. Arai, Natsuki & Iizuka, Nobuo & Yamamoto, Yohei, 2022. "The Efficiency of the Government’s Revenue Projections," Discussion paper series HIAS-E-122, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    9. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.

  8. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.

    Cited by:

    1. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    2. Batten, Jonathan A. & Szilagyi, Peter G., 2016. "The internationalisation of the RMB: New starts, jumps and tipping points," Emerging Markets Review, Elsevier, vol. 28(C), pages 221-238.

  9. Yoichi Tsuchiya & David McMillan, 2015. "Linkages among commodity futures prices in the recent financial crisis: An application of cointegration tests with a structural break," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1012436-101, December.

    Cited by:

    1. Kucher, Oleg & McCoskey, Suzanne, 2017. "The long-run relationship between precious metal prices and the business cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 263-275.

  10. Yoichi Tsuchiya & Satoshi Suehara, 2015. "Directional accuracy tests of Chinese renminbi forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 13(4), pages 397-406, November.

    Cited by:

    1. Baghestani, Hamid & Toledo, Hugo, 2017. "Do analysts' forecasts of term spread differential help predict directional change in exchange rates?," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 62-69.
    2. Frederik Kunze, 2020. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 313-333, March.
    3. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.

  11. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.

    Cited by:

    1. Evzen Kocenda & Michala Moravcova, 2017. "Exchange Rate Co-movements, Hedging and Volatility Spillovers in New EU Forex Markets," Working Papers IES 2017/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2017.
    2. Michael Frenkel & Matthias Mauch & Jan-Christoph Rülke, 2017. "Forecaster Rationality and Expectation Formation in Foreign Exchange Markets: Do Emerging Markets Differ from Industrialized Economies?," WHU Working Paper Series - Economics Group 17-04, WHU - Otto Beisheim School of Management.
    3. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    4. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    5. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    6. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    7. Ali, Sara & Badshah, Ihsan & Demirer, Riza, 2023. "Anti-herding by hedge funds and its implications for expected returns," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 31-48.
    8. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    9. Berna Aydoğan & Gökçe Tunç & Tezer Yelkenci, 2017. "The impact of oil price volatility on net-oil exporter and importer countries’ stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 231-253, August.

  12. Y. Tsuchiya & T. Kato, 2015. "Asymmetric loss and herding behaviour of exchange rate forecasters: evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5841-5852, November.

    Cited by:

    1. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    2. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.

  13. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.

    Cited by:

    1. José Francisco Lima & Fernanda Catarina Pereira & Arminda Manuela Gonçalves & Marco Costa, 2023. "Bootstrapping State-Space Models: Distribution-Free Estimation in View of Prediction and Forecasting," Forecasting, MDPI, vol. 6(1), pages 1-19, December.
    2. Adrian Fernandez‐Perez & Raquel López, 2023. "The effect of macroeconomic news announcements on the implied volatility of commodities: The role of survey releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1499-1530, November.
    3. Muñoz, Fernando & Vargas, María & Vicente, Ruth, 2014. "Fund flow bias in market timing skill. Evidence of the clientele effect," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 257-269.
    4. Hamid Baghestani & Bassam M. AbuAl-Foul, 2019. "Dynamics between Oil Prices and UAE Effective Exchange Rates: An Empirical Examination," Review of Economics & Finance, Better Advances Press, Canada, vol. 16, pages 89-103, May.
    5. d’Aspremont, Alexandre & Arous, Simon Ben & Bricongne, Jean-Charles & Lietti, Benjamin & Meunier, Baptiste, 2024. "Satellites turn “concrete”: tracking cement with satellite data and neural networks," Working Paper Series 2900, European Central Bank.
    6. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    7. Wagner, Stephan M. & Mizgier, Kamil J. & Papageorgiou, Stylianos, 2017. "Operational disruptions and business cycles," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 66-78.
    8. Lekshmi Omana & Om Prakash Mall, 2015. "Forward looking surveys for tracking Indian economy: an evaluation," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    9. Lan, Yueqin & Huang, Yong & Yan, Chao, 2021. "Investor sentiment and stock price: Empirical evidence from Chinese SEOs," Economic Modelling, Elsevier, vol. 94(C), pages 703-714.
    10. Herwadkar, Snehal S. & Ghosh, Saurabh, 2020. "Is PMI a good leading indicator of industrial production?: Evidence from India," MPRA Paper 97924, University Library of Munich, Germany.

  14. Tsuchiya, Yoichi, 2013. "Are government and IMF forecasts useful? An application of a new market-timing test," Economics Letters, Elsevier, vol. 118(1), pages 118-120.

    Cited by:

    1. Baris Soybilgen & Ege Yazgan, 2017. "An evaluation of inflation expectations in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(1), pages 1-31–38.
    2. IIZUKA Nobuo, 2013. "Predicting Business Cycle Phases by Professional Forecasters－ Are They Useful ?," ESRI Discussion paper series 305, Economic and Social Research Institute (ESRI).
    3. Y. Tsuchiya, 2014. "A directional evaluation of corporate executives' exchange rate forecasts," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 95-101, January.
    4. Lundtofte, Frederik & Leoni, Patrick, 2010. "Growth Forecasts, Belief Manipulation and Capital Markets," Working Papers 2010:8, Lund University, Department of Economics, revised 30 May 2012.
    5. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers 2017-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    6. Anusha, "undated". "Evaluating reliability of some symmetric and asymmetric univariate filters," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-030, Indira Gandhi Institute of Development Research, Mumbai, India.
    7. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.

  15. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.

    Cited by:

    1. Ciaran Driver, 2019. "Trade liberalization and South African manufacturing: Looking back with data," WIDER Working Paper Series wp-2019-30, World Institute for Development Economic Research (UNU-WIDER).
    2. Y. Tsuchiya, 2014. "A directional evaluation of corporate executives' exchange rate forecasts," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 95-101, January.
    3. K. Skylar Powell & Eunah Lim & Hidenori Takahashi, 2023. "Chasing ‘Animal spirits’: business expectations, performance feedback, and advertising intensity in Japanese firms," Asian Business & Management, Palgrave Macmillan, vol. 22(3), pages 1035-1064, July.
    4. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    5. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
    6. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.

  16. Y. Tsuchiya, 2013. "Evaluating corporate executives' exchange rate forecasts under a flexible loss function," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1135-1138, August.

    Cited by:

    1. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.

  17. Yoichi Tsuchiya, 2012. "Is the Purchasing Managers' Index useful for assessing the economy's strength? A directional analysis," Economics Bulletin, AccessEcon, vol. 32(2), pages 1302-1311.

    Cited by:

    1. Ravi Kashyap, 2021. "Behavioural Bias Benefits: Beating Benchmarks By Bundling Bouncy Baskets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4885-4921, September.
    2. Daniel Francois Meyer & Thomas Habanabakize, 2018. "Analysis of Relationships and Causality between Consumer Price Index (CPI), the Producer Price Index (PPI) and Purchasing Manager’s Index (PMI) in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 25-32.
    3. Radoslaw Sobko & Maria Klonowska-Matynia, 2021. "The Relationship between the Purchasing Managers’ Index (PMI) and Economic Growth: The Case for Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 198-219.
    4. Ruwan Jayathilaka & Rishani Rathnayake & Bhakthi Jayathilake & Thanuja Dharmasena & Dananja Bodinayake & Deumi Kathriarachchi, 2023. "Exploring the growth direction: the impact of exchange rate and purchasing managers index on economic growth in Sri Lanka," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2687-2703, June.
    5. Khundrakpam, Jeevan Kumar & George, Asish Thomas, 2012. "An Empirical Analysis of the Relationship between WPI and PMI-Manufacturing Price Indices in India," MPRA Paper 50929, University Library of Munich, Germany.
    6. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
    7. Saffet AKDAĞ & Ali DERAN & Ömer İSKENDEROĞLU, 2020. "Is PMI a Leading Indicator: Case of TurkeyAbstract: In this study, the causal relationships of the Purchasing Managers Index (PMI) with various financial factors are examined. As a result of the analy," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    8. SAHIN, Emrah & GUNGOR, Selim & KARACA, Suleyman Serdar, 2020. "Empirical Analysis Of The Relationship Between Purchasing Managers Index And Bist Industrial Index Under Structural Breaks," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(3), pages 6-22, September.
    9. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.
    10. Ravi Kashyap, 2021. "Behavioral Bias Benefits: Beating Benchmarks By Bundling Bouncy Baskets," Papers 2109.03740, arXiv.org.

  18. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.

    Cited by:

    1. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    2. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    3. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.

  19. Yoichi Tsuchiya, 2010. "Linkages among precious metals commodity futures prices: evidence from Tokyo," Economics Bulletin, AccessEcon, vol. 30(3), pages 1772-1777.

    Cited by:

    1. S. Maria Immanuvel & D. Lazar, 2023. "Does Information Spillover and Leverage Effect Exist in World Gold Markets?," Global Business Review, International Management Institute, vol. 24(3), pages 475-487, June.
    2. Kucher, Oleg & McCoskey, Suzanne, 2017. "The long-run relationship between precious metal prices and the business cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 263-275.
    3. Yoichi Tsuchiya & David McMillan, 2015. "Linkages among commodity futures prices in the recent financial crisis: An application of cointegration tests with a structural break," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1012436-101, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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, Yoichi Tsuchiya 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. RePEc uses bibliographic data supplied by the respective publishers.