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Doureige J. Jurdi

Personal Details

First Name:Doureige
Middle Name:
Last Name:Jurdi
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RePEc Short-ID:pju166
[This author has chosen not to make the email address public]

Affiliation

Department of Economics and Finance
La Trobe Business School
La Trobe University

Bundoora, Australia
http://www.latrobe.edu.au/economics/
RePEc:edi:sblatau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jurdi, Doureige & Kim, Jae, 2019. "Predicting the U.S. Stock Market Return: Evidence from the Improved Augmented Regression Method," MPRA Paper 94028, University Library of Munich, Germany.

Articles

  1. Jurdi, Doureige J., 2022. "Predicting the Australian equity risk premium," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
  2. Doureige J. Jurdi & Sam M. AlGhnaimat, 2021. "The Effects of ERM Adoption on European Insurance Firms Performance and Risks," JRFM, MDPI, vol. 14(11), pages 1-17, November.
  3. Ali I. El Saleh & Doureige J. Jurdi, 2021. "Stock performance under alternative Shariah screening methods: Evidence from Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4339-4388, September.
  4. Doureige J. Jurdi, 2020. "Intraday Jumps, Liquidity, and U.S. Macroeconomic News: Evidence from Exchange Traded Funds," JRFM, MDPI, vol. 13(6), pages 1-19, June.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Jurdi, Doureige J., 2022. "Predicting the Australian equity risk premium," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).

    Cited by:

    1. Francesco Cesarone & Raffaello Cesetti & Giuseppe Orlando & Manuel Luis Martino & Jacopo Maria Ricci, 2022. "Comparing SSD-Efficient Portfolios with a Skewed Reference Distribution," Mathematics, MDPI, vol. 11(1), pages 1-20, December.
    2. Pankaj Agrrawal, 2023. "The Gibbons, Ross, and Shanken Test for Portfolio Efficiency: A Note Based on Its Trigonometric Properties," Mathematics, MDPI, vol. 11(9), pages 1-19, May.
    3. Renata G. Alcoforado & Alfredo D. Egídio dos Reis & Wilton Bernardino & José António C. Santos, 2023. "Modelling Risk for Commodities in Brazil: An Application for Live Cattle Spot and Futures Prices," Commodities, MDPI, vol. 2(4), pages 1-19, November.

  2. Doureige J. Jurdi & Sam M. AlGhnaimat, 2021. "The Effects of ERM Adoption on European Insurance Firms Performance and Risks," JRFM, MDPI, vol. 14(11), pages 1-17, November.

    Cited by:

    1. Sylvester Senyo Horvey & Jones Odei-Mensah, 2024. "Enterprise risk management and performance of the South African insurers: the moderating role of corporate governance," Risk Management, Palgrave Macmillan, vol. 26(4), pages 1-28, December.
    2. Pankaj Agrrawal & Faye W. Gilbert & Jason Harkins, 2022. "Time Dependence of CAPM Betas on the Choice of Interval Frequency and Return Timeframes: Is There an Optimum?," JRFM, MDPI, vol. 15(11), pages 1-18, November.
    3. Lenka Syrová & Jindřich Špička, 2023. "Exploring the indirect links between enterprise risk management and the financial performance of SMEs," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-27, March.

  3. Ali I. El Saleh & Doureige J. Jurdi, 2021. "Stock performance under alternative Shariah screening methods: Evidence from Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4339-4388, September.

    Cited by:

    1. Yudi Ahmad Faisal & Indra Gunawan & Cupian & Amelia Hayati & Ardi Apriliadi & Muhammad Fajri, 2023. "Examining the Purchase Intentions of Indonesian Investors for Green Sukuk," Sustainability, MDPI, vol. 15(9), pages 1-12, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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.
  1. NEP-FMK: Financial Markets (1) 2019-06-10. Author is listed
  2. NEP-FOR: Forecasting (1) 2019-06-10. Author is listed
  3. NEP-UPT: Utility Models and Prospect Theory (1) 2019-06-10. Author is listed

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