Emmanuel Eyiah-Donkor
Personal Details
First Name: | Emmanuel |
Middle Name: | |
Last Name: | Eyiah-Donkor |
Suffix: | |
RePEc Short-ID: | pey16 |
| |
https://sites.google.com/view/emmanueleyiah-donkor | |
Affiliation
École Supérieure de Commerce de Rennes
Rennes, Francehttp://www.esc-rennes.fr/
RePEc:edi:reescfr (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022.
"The illusion of oil return predictability: The choice of data matters!,"
Post-Print
hal-03519860, HAL.
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022. "The illusion of oil return predictability: The choice of data matters!," Journal of Banking & Finance, Elsevier, vol. 134(C).
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020.
"Commodity Futures Return Predictability and Intertemporal Asset Pricing,"
Working Papers
202011, Geary Institute, University College Dublin.
- Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2023. "Commodity futures return predictability and intertemporal asset pricing," Post-Print hal-04192933, HAL.
Articles
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022.
"The illusion of oil return predictability: The choice of data matters!,"
Journal of Banking & Finance, Elsevier, vol. 134(C).
- Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022. "The illusion of oil return predictability: The choice of data matters!," Post-Print hal-03519860, HAL.
- Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2017. "Predictability and diversification benefits of investing in commodity and currency futures," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 52-66.
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.Working papers
- Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022.
"The illusion of oil return predictability: The choice of data matters!,"
Post-Print
hal-03519860, HAL.
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022. "The illusion of oil return predictability: The choice of data matters!," Journal of Banking & Finance, Elsevier, vol. 134(C).
Cited by:
- Nicolás Magner & Nicolás Hardy, 2022. "Cryptocurrency Forecasting: More Evidence of the Meese-Rogoff Puzzle," Mathematics, MDPI, vol. 10(13), pages 1-27, July.
- Markos Farag, Stephen Snudden, Greg Upton, 2024. "Can Futures Prices Predict the Real Price of Primary Commodities?," LCERPA Working Papers jc0145, Laurier Centre for Economic Research and Policy Analysis, revised 2024.
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2023.
"Commodity futures return predictability and intertemporal asset pricing,"
Post-Print
hal-04192933, HAL.
- Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020. "Commodity Futures Return Predictability and Intertemporal Asset Pricing," Working Papers 202011, Geary Institute, University College Dublin.
- Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2024. "Forecasting the price of oil: A cautionary note," Journal of Commodity Markets, Elsevier, vol. 33(C).
- Nima Nonejad, 2024. "Point forecasts of the price of crude oil: an attempt to “beat” the end-of-month random-walk benchmark," Empirical Economics, Springer, vol. 67(4), pages 1497-1539, October.
- Ellwanger, Reinhard & Snudden, Stephen, 2023. "Forecasts of the real price of oil revisited: Do they beat the random walk?," Journal of Banking & Finance, Elsevier, vol. 154(C).
- Bouteska, Ahmed & Hajek, Petr & Fisher, Ben & Abedin, Mohammad Zoynul, 2023. "Nonlinearity in forecasting energy commodity prices: Evidence from a focused time-delayed neural network," Research in International Business and Finance, Elsevier, vol. 64(C).
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020.
"Commodity Futures Return Predictability and Intertemporal Asset Pricing,"
Working Papers
202011, Geary Institute, University College Dublin.
- Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
- John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2023. "Commodity futures return predictability and intertemporal asset pricing," Post-Print hal-04192933, HAL.
Cited by:
- Gurdip Bakshi & Xiaohui Gao & Zhaowei Zhang, 2024. "What Insights Do Short-Maturity (7DTE) Return Predictive Regressions Offer about Risk Preferences in the Oil Market?," Commodities, MDPI, vol. 3(2), pages 1-23, May.
- Joelle Miffre & Hossein Rad & Rand Kwong Yew Low & Robert Faff, 2023.
"The commodity risk premium and neural networks,"
Post-Print
hal-04322519, HAL.
- Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2023. "The commodity risk premium and neural networks," Journal of Empirical Finance, Elsevier, vol. 74(C).
- Hollstein, Fabian & Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2021. "Predictability in commodity markets: Evidence from more than a century," Journal of Commodity Markets, Elsevier, vol. 24(C).
- Chia‐Hsien Tang & Yen‐Hsien Lee & Hung‐Chun Liu & Guan‐Gzhe Zeng, 2024. "Exploring the unpredictable nature of climate policy uncertainty: An empirical analysis of its impact on commodity futures returns in the United States," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1277-1292, July.
Articles
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022.
"The illusion of oil return predictability: The choice of data matters!,"
Journal of Banking & Finance, Elsevier, vol. 134(C).
See citations under working paper version above.
- Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022. "The illusion of oil return predictability: The choice of data matters!," Post-Print hal-03519860, HAL.
- Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2017.
"Predictability and diversification benefits of investing in commodity and currency futures,"
International Review of Financial Analysis, Elsevier, vol. 50(C), pages 52-66.
Cited by:
- Yang, Yurun & Göncü, Ahmet & Pantelous, Athanasios A., 2018. "Momentum and reversal strategies in Chinese commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 177-196.
- Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
- Gaete, Michael & Herrera, Rodrigo, 2023.
"Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach,"
Journal of Commodity Markets, Elsevier, vol. 32(C).
- Gaete, Michael & Herrera, Rodrigo, 2022. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," MPRA Paper 115641, University Library of Munich, Germany.
- Duc Khuong Nguyen & Nikolas Topaloglou & Thomas Walther, 2020.
"Asset Classes and Portfolio Diversification: Evidence from a Stochastic Spanning Approach,"
Working Papers
2020-009, Department of Research, Ipag Business School.
- Nguyen, Duc Khuong & Topaloglou, Nikolas & Walther, Thomas, 2020. "Asset Classes and Portfolio Diversification: Evidence from a Stochastic Spanning Approach," MPRA Paper 103870, University Library of Munich, Germany.
- Gagnon, Marie-Hélène & Manseau, Guillaume & Power, Gabriel J., 2020. "They're back! Post-financialization diversification benefits of commodities," International Review of Financial Analysis, Elsevier, vol. 71(C).
More information
Research fields, statistics, top rankings, if available.Statistics
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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 1 paper 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.- NEP-FMK: Financial Markets (1) 2020-11-30. Author is listed
- NEP-FOR: Forecasting (1) 2020-11-30. Author is listed
- NEP-ORE: Operations Research (1) 2020-11-30. Author is listed
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