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Walid Bahloul

Personal Details

First Name:Walid
Middle Name:
Last Name:Bahloul
Suffix:
RePEc Short-ID:pba1355
http://www.researchgate.net/profile/Walid_Bahloul2

Affiliation

Faculté des Sciences Économiques et de Gestion
Université de Sfax pour le Sud

Sfax, Tunisia
http://www.fsegs.rnu.tn/
RePEc:edi:fseustn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.
  2. Walid Bahloul & Rangan Gupta, 2017. "The Impact of Macroeconomic News Surprises and Uncertainty of Major Economies on Returns and Volatility of Oil Futures," Working Papers 201715, University of Pretoria, Department of Economics.

Articles

  1. Bahloul, Walid & Balcilar, Mehmet & Cunado, Juncal & Gupta, Rangan, 2018. "The role of economic and financial uncertainties in predicting commodity futures returns and volatility: Evidence from a nonparametric causality-in-quantiles test," Journal of Multinational Financial Management, Elsevier, vol. 45(C), pages 52-71.
  2. Bahloul, Walid & Bouri, Abdelfettah, 2016. "The impact of investor sentiment on returns and conditional volatility in U.S. futures markets," Journal of Multinational Financial Management, Elsevier, vol. 36(C), pages 89-102.
  3. Bahloul, Walid & Bouri, Abdelfettah, 2016. "Profitability of return and sentiment-based investment strategies in US futures markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 254-270.
  4. Walid Bahloul & Abdelfettah Bouri, 2016. "The Efficiency of the European Non-Life Insurance: CEO Power, Macroeconomic, and Market Characteristics Impact," IJFS, MDPI, vol. 4(1), pages 1-13, March.
    RePEc:eme:jrfpps:v:14:y:2013:i:3:p:266-285 is not listed on IDEAS

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. Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.

    Cited by:

    1. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2023. "Forecasting the Realized Volatility of Agricultural Commodity Prices: Does Sentiment Matter?," Working Papers 202316, University of Pretoria, Department of Economics.
    2. Song, Lu & Tian, Gengyu & Jiang, Yonghong, 2022. "Connectedness of commodity, exchange rate and categorical economic policy uncertainties — Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    3. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    4. Hedi Ben Haddad & Imed Mezghani & Abdessalem Gouider, 2021. "The Dynamic Spillover Effects of Macroeconomic and Financial Uncertainty on Commodity Markets Uncertainties," Economies, MDPI, vol. 9(2), pages 1-22, June.
    5. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
    6. Awasthi, Kritika & Ahmad, Wasim & Rahman, Abdul & Phani, B.V., 2020. "When US sneezes, clichés spread: How do the commodity index funds react then?," Resources Policy, Elsevier, vol. 69(C).
    7. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    8. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Working Papers 201925, University of Pretoria, Department of Economics.
    9. Fava, Santino Del & Gupta, Rangan & Pierdzioch, Christian & Rognone, Lavinia, 2024. "Forecasting international financial stress: The role of climate risks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    10. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    11. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    12. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    13. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Time-varying energy and stock market integration in Asia," Energy Economics, Elsevier, vol. 80(C), pages 777-792.
    14. Czudaj Robert L., 2020. "The role of uncertainty on agricultural futures markets momentum trading and volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-39, June.
    15. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    16. Rangan Gupta & Christian Pierdzioch, 2024. "Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices," Working Papers 202423, University of Pretoria, Department of Economics.
    17. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    18. Huang, Xinya & Wang, Yufeng & Li, Houjian, 2024. "Exploring the asymmetric influence of economic policy uncertainty on the nonlinear relationship between exchange rate and carbon prices in China," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    19. Solarin, Sakiru Adebola & Gil-Alana, Luis A., 2021. "The persistence of economic policy uncertainty: Evidence of long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    20. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    21. Feng, Hao & Gao, Da & Duan, Kun & Urquhart, Andrew, 2023. "Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework," International Review of Financial Analysis, Elsevier, vol. 89(C).
    22. Mehmet Balcilar & Rangan Gupta & Shixuan Wang & Mark E. Wohar, 2019. "Oil Price Uncertainty and Movements in the US Government Bond Risk Premia," Working Papers 201919, University of Pretoria, Department of Economics.
    23. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2021. "Dynamic impact of the U.S. monetary policy on oil market returns and volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 159-169.
    24. Saban Nazlioglu & Rangan Gupta & Elie Bouri, 2019. "Movements in International Bond Markets: The Role of Oil Prices," Working Papers 201935, University of Pretoria, Department of Economics.
    25. Christian Pierdzioch & Sebastian Rohloff & Roland von Campe, 2023. "The stance of U.S. monetary policy and the realized variance of gold-price returns," Economics Bulletin, AccessEcon, vol. 43(2), pages 719-732.
    26. Jiang, Yonghong & Ao, Zhiming & Mo, Bin, 2023. "The risk spillover between China’s economic policy uncertainty and commodity markets: Evidence from frequency spillover and quantile connectedness approaches," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    27. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    28. Saban Nazlioglu & Rangan Gupta & Alper Gormus & Ugur Soytas, 2019. "Price and Volatility Linkages between International REITs and Oil Markets," Working Papers 201954, University of Pretoria, Department of Economics.
    29. Wang Gao & Jiajia Wei & Shixiong Yang, 2023. "The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    30. Fasanya, Ismail O. & Oyewole, Oluwatomisin J., 2023. "On the connection between international REITs and oil markets: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 81(C).
    31. Semei Coronado & Rangan Gupta & Saban Nazlioglu & Omar Rojas, 2020. "Time-Varying Causality between Bond and Oil Markets of the United States: Evidence from Over One and Half Centuries of Data," Working Papers 202006, University of Pretoria, Department of Economics.
    32. Syeda Beena Zaidi & Abidullah Khan & Shabeer Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abul Ala Noman, 2023. "Connectedness between Pakistan’s Stock Markets with Global Factors: An Application of Quantile VAR Network Model," Mathematics, MDPI, vol. 11(19), pages 1-17, October.
    33. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    34. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    35. Rehman, Mobeen Ur & Owusu Junior, Peterson & Ahmad, Nasir & Vo, Xuan Vinh, 2022. "Time-varying risk analysis for commodity futures," Resources Policy, Elsevier, vol. 78(C).
    36. Lim, Kian Guan, 2022. "Endogeneity of commodity price in freight cost models," Journal of Commodity Markets, Elsevier, vol. 26(C).
    37. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    38. Cui, Jinxin & Maghyereh, Aktham & Goh, Mark & Zou, Huiwen, 2022. "Risk spillovers and time-varying links between international oil and China’s commodity futures markets: Fresh evidence from the higher-order moments," Energy, Elsevier, vol. 238(PB).
    39. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    40. Chen, Yanan & Qi, Haozhi, 2024. "Dynamic interplay between Chinese energy, renewable energy stocks, and commodity markets: Time-frequency causality study," Renewable Energy, Elsevier, vol. 228(C).
    41. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    42. Aggarwal, Divya & Kalia, Deepali, 2022. "Examining comovement and causality between producer price index for P&C insurance premium and uncertainty indices: Wavelet and non-parametric quantile causality approach," Research in Economics, Elsevier, vol. 76(2), pages 141-148.
    43. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    44. Yang, Kun & Wei, Yu & Li, Shouwei & Liu, Liang & Wang, Lei, 2021. "Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics," Energy Economics, Elsevier, vol. 96(C).
    45. Li, Xiao, 2021. "Does Chinese investor sentiment predict Asia-pacific stock markets? Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, vol. 38(C).
    46. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    47. Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    48. Trabelsi, Nader & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2022. "Spillovers and directional predictability between international energy commodities and their implications for optimal portfolio and hedging," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    49. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).

  2. Walid Bahloul & Rangan Gupta, 2017. "The Impact of Macroeconomic News Surprises and Uncertainty of Major Economies on Returns and Volatility of Oil Futures," Working Papers 201715, University of Pretoria, Department of Economics.

    Cited by:

    1. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Shi, Chunpei & Wei, Yu & Li, Xiafei & Liu, Yuntong, 2023. "Combination forecasts of China's oil futures returns based on multiple uncertainties and their connectedness with oil," Energy Economics, Elsevier, vol. 126(C).
    3. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    4. Wang, Jiqiang & Dai, Peng-Fei & Zhang, Xuewen, 2024. "Untangling the entanglement of US monetary policy uncertainty and European natural gas and carbon prices," Energy Economics, Elsevier, vol. 133(C).
    5. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2021. "Dynamic impact of the U.S. monetary policy on oil market returns and volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 159-169.
    6. Taicir Mezghani & Mouna Boujelbène Abbes, 2023. "Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 505-530, September.
    7. Antonios Persakis, 2024. "The impact of climate policy uncertainty on ESG performance, carbon emission intensity and firm performance: evidence from Fortune 1000 firms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 24031-24081, September.
    8. Hüseyin İlker Erçen & Hüseyin Özdeşer & Turgut Türsoy, 2022. "The Impact of Macroeconomic Sustainability on Exchange Rate: Hybrid Machine-Learning Approach," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    9. Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
    10. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    11. Ecenur Ugurlu‐Yildirim & Baris Kocaarslan & Beyza M. Ordu‐Akkaya, 2021. "Monetary policy uncertainty, investor sentiment, and US stock market performance: New evidence from nonlinear cointegration analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1724-1738, April.
    12. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
    14. Huthaifa Alqaralleh & Awon Almajali & Alessandra Canepa, 2024. "Navigating Energy Market Cycles: Insights from a Comprehensive Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 35-48, September.
    15. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Athanasios Tsagkanos, 2019. "Economic News Releases and Financial Markets in South Africa," Economies, MDPI, vol. 7(4), pages 1-13, November.
    16. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
    17. Soriano, Pilar & Torró, Hipòlit, 2022. "The response of Brent crude oil to the European central bank monetary policy," Finance Research Letters, Elsevier, vol. 46(PA).

Articles

  1. Bahloul, Walid & Balcilar, Mehmet & Cunado, Juncal & Gupta, Rangan, 2018. "The role of economic and financial uncertainties in predicting commodity futures returns and volatility: Evidence from a nonparametric causality-in-quantiles test," Journal of Multinational Financial Management, Elsevier, vol. 45(C), pages 52-71.
    See citations under working paper version above.
  2. Bahloul, Walid & Bouri, Abdelfettah, 2016. "The impact of investor sentiment on returns and conditional volatility in U.S. futures markets," Journal of Multinational Financial Management, Elsevier, vol. 36(C), pages 89-102.

    Cited by:

    1. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2023. "Forecasting the Realized Volatility of Agricultural Commodity Prices: Does Sentiment Matter?," Working Papers 202316, University of Pretoria, Department of Economics.
    2. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    3. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020. "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
    6. Shekar Bose & Hafizur Rahman, 2022. "Are News Effects Necessarily Asymmetric? Evidence from Bangladesh Stock Market," SAGE Open, , vol. 12(4), pages 21582440221, October.
    7. Bouteska, Ahmed & Ha, Le Thanh & Bhuiyan, Faruk & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Contagion between investor sentiment and green bonds in China during the global uncertainties," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 469-484.
    8. Yang, Cai & Gong, Xu & Zhang, Hongwei, 2019. "Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect," Resources Policy, Elsevier, vol. 61(C), pages 548-563.
    9. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
    10. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    11. Sakariyahu, Rilwan & Johan, Sofia & Lawal, Rodiat & Paterson, Audrey & Chatzivgeri, Eleni, 2023. "Dynamic connectedness between investors’ sentiment and asset prices: A comparison between major markets in Europe and USA," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    12. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
    13. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    14. Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
    15. Fasanya, Ismail & Adekoya, Oluwasegun & Oyewole, Oluwatomisin & Adegboyega, Soliu, 2022. "Investor sentiment and energy futures predictability: Evidence from Feasible Quasi Generalized Least Squares," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    16. Li, Xiao, 2021. "Does Chinese investor sentiment predict Asia-pacific stock markets? Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, vol. 38(C).
    17. Pedro Piccoli & Newton C. A. da Costa & Wesley Vieira da Silva & June A. W. Cruz, 2018. "Investor sentiment and the risk–return tradeoff in the Brazilian market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 599-618, November.

  3. Bahloul, Walid & Bouri, Abdelfettah, 2016. "Profitability of return and sentiment-based investment strategies in US futures markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 254-270.

    Cited by:

    1. Bahloul, Walid & Bouri, Abdelfettah, 2016. "The impact of investor sentiment on returns and conditional volatility in U.S. futures markets," Journal of Multinational Financial Management, Elsevier, vol. 36(C), pages 89-102.
    2. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020. "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, vol. 52(C).
    3. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    4. Qiang Ji & Walid Bahloul & Jiang-bo Geng & Rangan Gupta, 2019. "Does Trading Behaviour Converge across Commodity Markets? Evidence from the Perspective of Hedgers’ Sentiment," Working Papers 201930, University of Pretoria, Department of Economics.
    5. Li, Yuze & Jiang, Shangrong & Li, Xuerong & Wang, Shouyang, 2021. "The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach," Energy Economics, Elsevier, vol. 95(C).
    6. Diandian Ma & Benfu Lv & Xuerong Li & Xiuting Li & Shuqin Liu, 2023. "Heterogeneous Impacts of Policy Sentiment with Different Themes on Real Estate Market: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.

  4. Walid Bahloul & Abdelfettah Bouri, 2016. "The Efficiency of the European Non-Life Insurance: CEO Power, Macroeconomic, and Market Characteristics Impact," IJFS, MDPI, vol. 4(1), pages 1-13, March.

    Cited by:

    1. Dimitrios G. Giantsios & Athanasios G. Noulas, 2020. "Cost Efficiency and Convergence in the European Nonlife Insurance Industry," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-6.

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 2 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-AGR: Agricultural Economics (1) 2017-04-16. Author is listed
  2. NEP-ENE: Energy Economics (1) 2017-03-26. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2017-03-26. Author is listed
  4. NEP-RMG: Risk Management (1) 2017-04-16. Author is listed

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