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Forecasting US Recessions: The Role of Sentiments

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Cited by:

  1. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
  2. Harri Pönkä & Markku Stenborg, 2020. "Forecasting the state of the Finnish business cycle," Finnish Economic Papers, Finnish Economic Association, vol. 29(1), pages 81-99, Spring.
  3. Liu, Jingzhen & Kemp, Alexander, 2019. "Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables," Energy Economics, Elsevier, vol. 81(C), pages 672-686.
  4. Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022. "Does the yield curve signal recessions? New evidence from an international panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 9-22.
  5. Aneta Maria Kłopocka, 2017. "Does Consumer Confidence Forecast Household Saving and Borrowing Behavior? Evidence for Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 693-717, September.
  6. Hashmat Khan & Santosh Upadhayaya, 2020. "Does business confidence matter for investment?," Empirical Economics, Springer, vol. 59(4), pages 1633-1665, October.
  7. Hector H. Sandoval & Anita N. Walsh, 2021. "The role of consumer confidence in forecasting consumption, evidence from Florida," Southern Economic Journal, John Wiley & Sons, vol. 88(2), pages 757-788, October.
  8. Federico Guglielmo Morelli & Michael Benzaquen & Marco Tarzia & Jean-Philippe Bouchaud, 2020. "Confidence collapse in a multihousehold, self-reflexive DSGE model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9244-9249, April.
  9. Baris Soybilgen, 2017. "Identifying Us Business Cycle Regimes Using Factor Augmented Neural Network Models," Working Papers 1703, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
  10. Hamid Baghestani & Ajalavat Viriyavipart, 2019. "Do factors influencing consumer home-buying attitudes explain output growth?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(5), pages 1104-1115, August.
  11. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
  12. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
  13. Nyberg, Henri & Pönkä, Harri, 2016. "International sign predictability of stock returns: The role of the United States," Economic Modelling, Elsevier, vol. 58(C), pages 323-338.
  14. Anastasiou, Dimitris & Kallandranis, Christos & Drakos, Konstantinos, 2022. "Borrower discouragement prevalence for Eurozone SMEs: Investigating the impact of economic sentiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 161-171.
  15. Barış Soybilgen, 2020. "Identifying US business cycle regimes using dynamic factors and neural network models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 827-840, August.
  16. Beetsma, Roel & Furtuna, Oana & Giuliodori, Massimo & Mumtaz, Haroon, 2017. "Revenue- versus spending-based fiscal consolidation announcements: follow-up, multipliers and confidence," CEPR Discussion Papers 12133, C.E.P.R. Discussion Papers.
  17. Dalibor Stevanovic & Rachidi Kotchoni, 2016. "Forecasting U.S. Recessions and Economic Activity," CIRANO Working Papers 2016s-36, CIRANO.
  18. Harri Pönkä, 2018. "Sentiment and sign predictability of stock returns," Economics Bulletin, AccessEcon, vol. 38(3), pages 1676-1684.
  19. Pönkä, Harri & Zheng, Yi, 2019. "The role of oil prices on the Russian business cycle," Research in International Business and Finance, Elsevier, vol. 50(C), pages 70-78.
  20. Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
  21. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
  22. Máximo Camacho & Gonzalo Palmieri, 2021. "Evaluating the OECD’s main economic indicators at anticipating recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 80-93, January.
  23. Fornaro, Paolo, 2015. "Forecasting U.S. Recessions with a Large Set of Predictors," MPRA Paper 62973, University Library of Munich, Germany.
  24. Robert Lehmann & Magnus Reif, 2021. "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 215-232, November.
  25. Brown, Sarah & Harris, Mark N. & Spencer, Christopher & Taylor, Karl, 2020. "Financial Expectations and Household Consumption: Does Middle Inflation Matter?," IZA Discussion Papers 13023, Institute of Labor Economics (IZA).
  26. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  27. Knut Lehre Seip & Yunus Yilmaz & Michael Schröder, 2019. "Comparing Sentiment- and Behavioral-Based Leading Indexes for Industrial Production: When Does Each Fail?," Economies, MDPI, vol. 7(4), pages 1-18, October.
  28. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
  29. Sander, Magnus, 2018. "Market timing over the business cycle," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 130-145.
  30. Baghestani, Hamid & AbuAl-Foul, Bassam M., 2017. "Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth," Journal of Economics and Business, Elsevier, vol. 89(C), pages 47-56.
  31. Mikhail E. MAMONOV, Anna A. PESTOVA, Vera PANKOVA, Renat Akhmetov, 2020. "Digital Transformation of Capital Market Infrastructure [Цифровая Трансформация Инфраструктуры Рынка Капитала]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 130-159, November.
  32. Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," CEERP Working Paper Series 006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
  33. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
  34. Shyam Gouri Suresh & Mark Setterfield, 2015. "Firm performance, macroeconomic conditions, and “animal spirits” in a Post Keynesian model of aggregate fluctuations," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 38(1), pages 38-63, July.
  35. Anna Pestova, 2015. "Leading Indicators of the Business Cycle: Dynamic Logit Models for OECD Countries and Russia," HSE Working papers WP BRP 94/EC/2015, National Research University Higher School of Economics.
  36. Marius M. Mihai, 2020. "Do credit booms predict US recessions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 887-910, September.
  37. Caglayan, Mustafa & Xu, Bing, 2016. "Sentiment volatility and bank lending behavior," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 107-120.
  38. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
  39. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
  40. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  41. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
  42. Martin M. Andreasen & Tom Engsted & Stig V. Møller & Magnus Sander, 2016. "Bond Market Asymmetries across Recessions and Expansions: New Evidence on Risk Premia," CREATES Research Papers 2016-26, Department of Economics and Business Economics, Aarhus University.
  43. Min Seong Kim, 2021. "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers 2021-04, University of Connecticut, Department of Economics.
  44. Matthieu Bussière & Stéphane Lhuissier, 2024. "What does an inversion of the yield curve tell us? [Que signifie l’inversion d’une courbe des taux ?]," Bulletin de la Banque de France, Banque de France, issue 250.
  45. Bornali Bhandari & Samarth Gupta & Ajaya K. Sahu & K. S. Urs, 2021. "Business sentiments during India’s national lockdown: Lessons for second and potential third wave," Indian Economic Review, Springer, vol. 56(2), pages 335-350, December.
  46. Dimitriou Dimitrios & Pappas Anastasios & Kazanas Thanassis & Kenourgios Dimitris, 2021. "Do confidence indicators lead Greek economic activity?," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 1-15.
  47. Soybilgen, Baris, 2018. "Identifying US business cycle regimes using dynamic factors and neural network models," MPRA Paper 94715, University Library of Munich, Germany.
  48. Yang Aijun & Xiang Ju & Yang Hongqiang & Lin Jinguan, 2018. "Sparse Bayesian Variable Selection in Probit Model for Forecasting U.S. Recessions Using a Large Set of Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1123-1138, April.
  49. Erik Christian Montes Schütte, 2018. "In Search of a Job: Forecasting Employment Growth in the US using Google Trends," CREATES Research Papers 2018-25, Department of Economics and Business Economics, Aarhus University.
  50. Hamid Baghestani, 2017. "Do US consumer survey data help beat the random walk in forecasting mortgage rates?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343017-134, January.
  51. Pestova, Anna, 2020. "“Credit view” on monetary policy in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 72-88.
  52. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
  53. Baghestani, Hamid, 2016. "Do gasoline prices asymmetrically affect US consumers’ economic outlook?," Energy Economics, Elsevier, vol. 55(C), pages 247-252.
  54. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
  55. Hamid Baghestani & Polly Palmer, 2017. "On the dynamics of U.S. consumer sentiment and economic policy assessment," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 227-237, January.
  56. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
  57. Beetsma, Roel & Furtuna, Oana & Giuliodori, Massimo, 2018. "Revenue- versus spending-based consolidation plans: the role of follow-up," Working Paper Series 2178, European Central Bank.
  58. Tsung-Hsien Michael Lee & Wenjuan Chen, 2015. "Is There an Asymmetric Impact of Housing on Output?," SFB 649 Discussion Papers SFB649DP2015-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  59. Melanie Koch & Thomas Scheiber, 2022. "Household savings in CESEE: expectations, experiences and common predictors," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/22, pages 29-54.
  60. Byrne, Joseph P. & Lorusso, Marco & Xu, Bing, 2019. "Oil prices, fundamentals and expectations," Energy Economics, Elsevier, vol. 79(C), pages 59-75.
  61. Čižmešija Mirjana & Lukač Zrinka & Novoselec Tomislav, 2019. "Nonlinear optimisation approach to proposing novel Croatian Industrial Confidence Indicator," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 5(2), pages 17-26, December.
  62. 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.
  63. Baumann, Ursel & Gomez-Salvador, Ramon & Seitz, Franz, 2019. "Detecting turning points in global economic activity," Working Paper Series 2310, European Central Bank.
  64. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
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