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Bing Xu

Personal Details

First Name:Bing
Middle Name:
Last Name:Xu
Suffix:
RePEc Short-ID:pxu82
http://www.sml.hw.ac.uk/staff-directory/bing-xu.htm
School of Management and Languages G.54 Mary Burton Building Heriot-Watt University Edinburgh, EH14 4AS
0131-451-3294

Affiliation

Department of Accountancy, Economics and Finance
School of Management and Languages
Heriot-Watt University

Edinburgh, United Kingdom
http://www.sml.hw.ac.uk/departments/accountancy-economics-finance.htm

: +44(0)131 451 3497
+44(0)131 451 3497
Edinburgh EH14 4AS
RePEc:edi:dehwuuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Christopher F Baum & Mustafa Caglayan & Bing Xu, 2017. "Uncertainty Effects on the Financial Sector: International Evidence," Boston College Working Papers in Economics 939, Boston College Department of Economics.
  2. Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.
  3. Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
  4. Mustafa Caglayan & Bing Xu, 2013. "Allocation Effects of Uncertainty on Resources in Japan," CFI Discussion Papers 1306, Centre for Finance and Investment, Heriot Watt University.

Articles

  1. Kulabutr Komenkul & Mohamed Sherif & Bing Xu, 2017. "IPOs’ signalling effects for speculative stock detection: evidence from the Stock Exchange of Thailand," Applied Economics, Taylor & Francis Journals, vol. 49(31), pages 3067-3085, July.
  2. Holden, R. & Xu, B. & Greening, P. & Piecyk, M. & Dadhich, P., 2016. "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 105-119.
  3. Caglayan, Mustafa & Xu, Bing, 2016. "Inflation volatility effects on the allocation of bank loans," Journal of Financial Stability, Elsevier, vol. 24(C), pages 27-39.
  4. Xu, Bing & Nayak, Amar & Gray, David & Ouenniche, Jamal, 2016. "Assessing energy business cases implemented in the North Sea Region and strategy recommendations," Applied Energy, Elsevier, vol. 172(C), pages 360-371.
  5. Caglayan, Mustafa & Xu, Bing, 2016. "Sentiment volatility and bank lending behavior," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 107-120.
  6. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
  7. Bing Xu, 2015. "Oil prices and UK industry-level stock returns," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2608-2627, May.
  8. Caglayan, Mustafa & Xu, Bing, 2014. "Allocation effects of uncertainty on resources in Japan," Economics Letters, Elsevier, vol. 122(1), pages 23-26.
  9. Abhay Abhyankar, Bing Xu, and Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  10. Xu, Bing & Ouenniche, Jamal, 2012. "A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices' volatility forecasting models," Energy Economics, Elsevier, vol. 34(2), pages 576-583.
  11. B. Xu & J. Ouenniche, 2011. "A multidimensional framework for performance evaluation of forecasting models: context-dependent DEA," Applied Financial Economics, Taylor & Francis Journals, vol. 21(24), pages 1873-1890, December.

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. Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.

    Cited by:

    1. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-24, May.

Articles

  1. Caglayan, Mustafa & Xu, Bing, 2016. "Inflation volatility effects on the allocation of bank loans," Journal of Financial Stability, Elsevier, vol. 24(C), pages 27-39.

    Cited by:

    1. Christopher F Baum & Mustafa Caglayan & Bing Xu, 2017. "Uncertainty Effects on the Financial Sector: International Evidence," Boston College Working Papers in Economics 939, Boston College Department of Economics.
    2. Mascia, Danilo V. & Rossi, Stefania P.S., 2017. "Is there a gender effect on the cost of bank financing?," Journal of Financial Stability, Elsevier, vol. 31(C), pages 136-153.
    3. Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.

  2. Caglayan, Mustafa & Xu, Bing, 2016. "Sentiment volatility and bank lending behavior," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 107-120.

    Cited by:

    1. Caglayan, Mustafa & Xu, Bing, 2016. "Inflation volatility effects on the allocation of bank loans," Journal of Financial Stability, Elsevier, vol. 24(C), pages 27-39.

  3. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.

    Cited by:

    1. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    2. Arazmuradov, Annageldy, 2016. "Assessing sovereign debt default by efficiency," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 100-113.
    3. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    4. Jamal Ouenniche & Kaoru Tone, 2017. "An out-of-sample evaluation framework for DEA with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 254(1), pages 235-250, July.

  4. Bing Xu, 2015. "Oil prices and UK industry-level stock returns," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2608-2627, May.

    Cited by:

    1. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Shahzad, Syed Jawad Hussain, 2017. "Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 453-483.
    2. Nikolaos Sariannidis & Grigoris Giannarakis & Eleni Zafeiriou & Ioannis Billias, 2016. "The Effect of Crude Oil Price Moments on Socially Responsible Firms in Eurozone," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 356-363.

  5. Caglayan, Mustafa & Xu, Bing, 2014. "Allocation effects of uncertainty on resources in Japan," Economics Letters, Elsevier, vol. 122(1), pages 23-26.

    Cited by:

    1. Caglayan, Mustafa & Xu, Bing, 2016. "Inflation volatility effects on the allocation of bank loans," Journal of Financial Stability, Elsevier, vol. 24(C), pages 27-39.

  6. Abhay Abhyankar, Bing Xu, and Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

    Cited by:

    1. Mohammad Reza Farzanegan & Mozhgan Raeisian Parvari, 2014. "Iranian-Oil-Free Zone and International Oil Prices," MAGKS Papers on Economics 201427, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Razmi, Fatemeh & Azali, M. & Chin, Lee & Shah Habibullah, Muzafar, 2016. "The role of monetary transmission channels in transmitting oil price shocks to prices in ASEAN-4 countries during pre- and post-global financial crisis," Energy, Elsevier, vol. 101(C), pages 581-591.
    4. Nick, Sebastian & Thoenes, Stefan, 2014. "What drives natural gas prices? — A structural VAR approach," Energy Economics, Elsevier, vol. 45(C), pages 517-527.
    5. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," MPRA Paper 80436, University Library of Munich, Germany.
    6. Andrea BASTIANIN & Matteo MANERA, 2015. "How Does Stock Market Volatility React to Oil Shocks?," Departmental Working Papers 2015-09, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    7. Shahbaz, Muhammad & Balcilar, Mehmet & Abidin Ozdemir, Zeynel, 2017. "Does oil predict gold? A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 52(C), pages 257-265.
    8. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2014. "The Impact of Oil Price Shocks on the Stock Market Return and Volatility Relationship," CAMA Working Papers 2014-71, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2014. "The Impact of Oil Price Shocks on U.S. Bond Market Returns," CAMA Working Papers 2014-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Zhang, Chuanguo & Liu, Feng & Yu, Danlin, 2018. "Dynamic jumps in global oil price and its impacts on China's bulk commodities," Energy Economics, Elsevier, vol. 70(C), pages 297-306.
    11. Samih Antoine Azar, 2015. "The Relation of the US Dollar with Oil Prices, Gold Prices, and the US Stock Market," Research in World Economy, Research in World Economy, Sciedu Press, vol. 6(1), pages 159-171, March.
    12. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    13. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," DOCUMENTOS DE TRABAJO CIEF 015923, UNIVERSIDAD EAFIT.
    14. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    15. Silvapulle, Param & Smyth, Russell & Zhang, Xibin & Fenech, Jean-Pierre, 2017. "Nonparametric panel data model for crude oil and stock market prices in net oil importing countries," Energy Economics, Elsevier, vol. 67(C), pages 255-267.
    16. Le, Thai-Ha & Chang, Youngho, 2015. "Effects of oil price shocks on the stock market performance: Do nature of shocks and economies matter?," Energy Economics, Elsevier, vol. 51(C), pages 261-274.
    17. Ntantamis, Christos & Zhou, Jun, 2015. "Bull and bear markets in commodity prices and commodity stocks: Is there a relation?," Resources Policy, Elsevier, vol. 43(C), pages 61-81.
    18. Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.
    19. Byrne, Joseph P & Sakemoto, Ryuta & Xu, Bing, 2017. "Commodity Price Co-movement: Heterogeneity and the Time Varying Impact of Fundamentals," MPRA Paper 80791, University Library of Munich, Germany.
    20. Le, Thai-Ha & Chang, Youngho, 2016. "Dynamics between strategic commodities and financial variables: Evidence from Japan," Resources Policy, Elsevier, vol. 50(C), pages 1-9.
    21. Lambertides, Neophytos & Savva, Christos S. & Tsouknidis, Dimitris A., 2017. "The effects of oil price shocks on U.S. stock order flow imbalances and stock returns," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 137-146.
    22. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.

  7. Xu, Bing & Ouenniche, Jamal, 2012. "A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices' volatility forecasting models," Energy Economics, Elsevier, vol. 34(2), pages 576-583.

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale on U.S. fossil fuel power plants: Radial and non-radial approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 34(6), pages 2240-2259.
    3. Xiong, Tao & Bao, Yukun & Hu, Zhongyi, 2013. "Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices," Energy Economics, Elsevier, vol. 40(C), pages 405-415.
    4. Nuri Ozgur DOGAN & Can Tansel TUGCU, 2015. "Energy Efficiency in Electricity Production: A Data Envelopment Analysis (DEA) Approach for the G-20 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 246-252.
    5. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    6. Jamal Ouenniche & Kaoru Tone, 2017. "An out-of-sample evaluation framework for DEA with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 254(1), pages 235-250, July.
    7. Opeyemi Akinyemi & Philip O. Alege & Oluseyi O. Ajayi & Lloyd Amaghionyeodiwe & Adeyemi A. Ogundipe, 2015. "Fuel Subsidy Reform and Environmental Quality in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 540-549.
    8. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    9. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.

  8. B. Xu & J. Ouenniche, 2011. "A multidimensional framework for performance evaluation of forecasting models: context-dependent DEA," Applied Financial Economics, Taylor & Francis Journals, vol. 21(24), pages 1873-1890, December.

    Cited by:

    1. Jamal Ouenniche & Kaoru Tone, 2017. "An out-of-sample evaluation framework for DEA with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 254(1), pages 235-250, July.
    2. Emrouznejad, Ali & Rostami-Tabar, Bahman & Petridis, Konstantinos, 2016. "A novel ranking procedure for forecasting approaches using Data Envelopment Analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 235-243.

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 4 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 (3) 2017-08-20 2017-08-20 2018-01-01. Author is listed
  2. NEP-AGR: Agricultural Economics (1) 2017-08-20. Author is listed
  3. NEP-ENE: Energy Economics (1) 2017-08-20. Author is listed
  4. NEP-IFN: International Finance (1) 2018-01-01. Author is listed

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