Yield Curve Point Triplets in Recession Forecasting
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Cited by:
- Eric Hillebrand & Huiyu Huang & Tae-Hwy Lee & Canlin Li, 2018.
"Using the Entire Yield Curve in Forecasting Output and Inflation,"
Econometrics, MDPI, vol. 6(3), pages 1-27, August.
- Tae-Hwy Lee & Eric Hillebrand & Huiyu Huang & Canlin Li, 2018. "Using the Entire Yield Curve in Forecasting Output and Inflation," Working Papers 201903, University of California at Riverside, Department of Economics.
- Cepni, Oguzhan & Gupta, Rangan & Karahan, Cenk C. & Lucey, Brian, 2022.
"Oil price shocks and yield curve dynamics in emerging markets,"
International Review of Economics & Finance, Elsevier, vol. 80(C), pages 613-623.
- Oguzhan Cepni & Rangan Gupta & Cenk C. Karahan & Brian M. Lucey, 2020. "Oil Price Shocks and Yield Curve Dynamics in Emerging Markets," Working Papers 202036, University of Pretoria, Department of Economics.
- Pan Tang & Yuwei Zhang, 2024. "China's business cycle forecasting: a machine learning approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2783-2811, November.
- Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
- Kéa Baret & Amélie Barbier-Gauchard & Théophilos Papadimitriou, 2021.
"Forecasting the Stability and Growth Pact compliance using Machine Learning,"
Working Papers of BETA
2021-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Kea Baret & Amélie Barbier-Gauchard & Theophilos Papadimitriou, 2023. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Post-Print hal-03121966, HAL.
- Kea Baret & Amelie Barbier-Gauchard & Theophilos Papadimitriou, 2022. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Working Papers 2022.11, International Network for Economic Research - INFER.
- Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
- Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021.
"Gold, platinum and the predictability of bond risk premia,"
Finance Research Letters, Elsevier, vol. 38(C).
- Elie Bouri & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2019. "Gold, Platinum and the Predictability of Bond Risk Premia," Working Papers 201967, University of Pretoria, Department of Economics.
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