Eric Michael Scheffel

Personal Details

First Name:	Eric
Middle Name:	Michael
Last Name:	Scheffel
Suffix:
RePEc Short-ID:	psc334
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	http://www.ericscheffel.com
	Office: AB482 199 Taikang East Road, Ningbo, 315100, China
	+447855620844
Terminal Degree:	2010 Economics Section; Cardiff Business School; Cardiff University (from RePEc Genealogy)

Affiliation

(in no particular order)

Economics Section
Cardiff Business School
Cardiff University

Cardiff, United Kingdom
http://www.cardiff.ac.uk/business-school/research/themes/economics
RePEc:edi:ecscfuk (more details at EDIRC)

Julian Hodge Institute of Applied Macroeconomics
Cardiff Business School
Cardiff University

Cardiff, United Kingdom
http://business.cardiff.ac.uk/julian-hodge-institute-applied-macroeconomics
RePEc:edi:jhiamuk (more details at EDIRC)

Office of National Statistics
Government of the United Kingdom

Newport, United Kingdom
http://www.statistics.gov.uk/
RePEc:edi:onsgvuk (more details at EDIRC)

Business School
University of Nottingham

Ningbo, China
http://www.nottingham.edu.cn/cn/business/
RePEc:edi:sinotcn (more details at EDIRC)

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

1. Scheffel, Eric, 2008. "A Credit-Banking Explanation of the Equity Premium, Term Premium, and Risk-Free Rate Puzzles," Cardiff Economics Working Papers E2008/30, Cardiff University, Cardiff Business School, Economics Section.

   Cited by:

   1. Scheffel, Eric, 2008. "Consumption Velocity in a Cash Costly-Credit Model," Cardiff Economics Working Papers E2008/31, Cardiff University, Cardiff Business School, Economics Section.

Articles

1. Yongmin Zhang & Shusheng Ding & Eric Scheffel, 2018. "Policy impact on volatility dynamics in commodity futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1227-1245, October.

   Cited by:

   1. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
   2. Zhang, Yongmin & Ding, Shusheng & Scheffel, Eric M., 2019. "A key determinant of commodity price Co-movement: The role of daily market liquidity," Economic Modelling, Elsevier, vol. 81(C), pages 170-180.
   3. Kathrin Hellmuth & Christian Klingenberg, 2022. "Computing Black Scholes with Uncertain Volatility-A Machine Learning Approach," Papers 2202.07378, arXiv.org.
   4. Gaoxiu Qiao & Yangli Cao & Feng Ma & Weiping Li, 2023. "Liquidity and realized covariance forecasting: a hybrid method with model uncertainty," Empirical Economics, Springer, vol. 64(1), pages 437-463, January.
   5. Mert Demir & Terrence F. Martell & Jun Wang, 2019. "The trilogy of China cotton markets: The lead–lag relationship among spot, forward, and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(4), pages 522-534, April.
   6. Yongmin Zhang & Shusheng Ding & Haili Shi, 2022. "The impact of COVID‐19 on the interdependence between US and Chinese oil futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2041-2052, November.
   7. Owusu Junior, Peterson & Tiwari, Aviral Kumar & Tweneboah, George & Asafo-Adjei, Emmanuel, 2022. "GAS and GARCH based value-at-risk modeling of precious metals," Resources Policy, Elsevier, vol. 75(C).
   8. Zhang, Yongmin & Ding, Shusheng, 2021. "Liquidity effects on price and return co-movements in commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
   9. Yongmin Zhang & Yiru Sun & Haili Shi & Shusheng Ding & Yingxue Zhao, 2024. "COVID-19, the Russia–Ukraine war and the connectedness between the U.S. and Chinese agricultural futures markets," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
   10. Ding, Shusheng & Zhang, Yongmin, 2020. "Cross market predictions for commodity prices," Economic Modelling, Elsevier, vol. 91(C), pages 455-462.
   11. Yongmin Zhang & Shusheng Ding & Meryem Duygun, 2019. "Derivatives pricing with liquidity risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1471-1485, November.

2. Michael C. Hatcher & Eric M. Scheffel, 2016. "Solving the Incomplete Markets Model in Parallel Using GPU Computing and the Krusell–Smith Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 569-591, December.

   Cited by:

   1. Ivo Bakota, 2023. "Market Clearing and Krusell-Smith Algorithm in an Economy with Multiple Assets," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1007-1045, October.

3. Eric M. Scheffel, 2016. "Accounting for the Political Uncertainty Factor," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1048-1064, September.

   Cited by:

   1. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2017. "Economic Policy Uncertainty and Long-Run Stock Market Volatility and Correlation," CREATES Research Papers 2018-12, Department of Economics and Business Economics, Aarhus University.
   2. Yuan, Di & Li, Sufang & Li, Rong & Zhang, Feipeng, 2022. "Economic policy uncertainty, oil and stock markets in BRIC: Evidence from quantiles analysis," Energy Economics, Elsevier, vol. 110(C).
   3. Zhang, Yongmin & Ding, Shusheng & Scheffel, Eric M., 2019. "A key determinant of commodity price Co-movement: The role of daily market liquidity," Economic Modelling, Elsevier, vol. 81(C), pages 170-180.
   4. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
   5. Karanasos, M. & Yfanti, S., 2021. "On the Economic fundamentals behind the Dynamic Equicorrelations among Asset classes: Global evidence from Equities, Real estate, and Commodities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
   6. Li, Xiang, 2022. "How does economic policy uncertainty affect corporate debt maturity?," IWH Discussion Papers 5/2022, Halle Institute for Economic Research (IWH).
   7. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
   8. Sun, Xiaolei & Chen, Xiuwen & Wang, Jun & Li, Jianping, 2020. "Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
   9. Godil, Danish Iqbal & Sarwat, Salman & Sharif, Arshian & Jermsittiparsert, Kittisak, 2020. "How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique," Resources Policy, Elsevier, vol. 66(C).
   10. Jing Yuan & Yajing Dong & Weijie Zhai & Zongwu Cai, 2021. "Economic Policy Uncertainty: Cross-Country Linkages and Spillover Effects on Economic Development in Some Belt and Road Countries," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202110, University of Kansas, Department of Economics, revised Nov 2021.
   11. Rehman, Mobeen Ur & Sensoy, Ahmet & Eraslan, Veysel & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2021. "Sensitivity of US equity returns to economic policy uncertainty and investor sentiments," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
   12. Zhang, Feng & Huang, Yongming & Nan, Xiaoli, 2022. "The price volatility of natural resource commodity and global economic policy uncertainty: Evidence from US economy," Resources Policy, Elsevier, vol. 77(C).
   13. Li, Xiang & Su, Dan, 2020. "How does economic policy uncertainty affect corporate debt maturity?," IWH Discussion Papers 6/2020, Halle Institute for Economic Research (IWH).
   14. Dang, Dandan & Fang, Hongsheng & He, Minyuan, 2019. "Economic policy uncertainty, tax quotas and corporate tax burden: Evidence from China," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
   15. Prüser, Jan & Schlösser, Alexander, 2018. "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers 761, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
   16. Belcaid, Karim & El Ghini, Ahmed, 2019. "U.S., European, Chinese economic policy uncertainty and Moroccan stock market volatility," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
   17. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.

4. Eric Scheffel & Andrew Thomas, 2011. "Employment and intangible spending in the UK's creative industries - A view from the micro data," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 5(1), pages 79-104, January.

   Cited by:

   1. Maddah, Lina & Arauzo Carod, Josep Maria, 2021. "Cultural and Creative Industries: Empirical Evidence on Employment Growth," Working Papers 2072/534910, Universitat Rovira i Virgili, Department of Economics.

5. Pete Brodie & Tullio Buccellato & Eric Scheffel, 2011. "Assessing the accuracy of business‐level forecasts," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 5(4), pages 119-134, April.

   Cited by:

   1. Frank Heilig & Edward J. Lusk, 2020. "OLS-Regression Forecasting Confidence Intervals Capture Rates: Precision Profiling in the Forecasting Model Selection Process," International Business Research, Canadian Center of Science and Education, vol. 13(4), pages 1-14, April.

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 3 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-MAC: Macroeconomics (2) 2009-01-03 2009-01-03
2. NEP-BEC: Business Economics (1) 2009-01-03
3. NEP-DGE: Dynamic General Equilibrium (1) 2009-01-03
4. NEP-POL: Positive Political Economics (1) 2012-03-21

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