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Vaibhav Lalwani

Personal Details

First Name:Vaibhav
Middle Name:
Last Name:Lalwani
Suffix:
RePEc Short-ID:pla1103
[This author has chosen not to make the email address public]
http://www.vaibhavfin.com

Affiliation

Xavier Labour Relations Institute (XLRI)

Jamshedpur, India
http://www.xlri.ac.in/
RePEc:edi:xlrijin (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Lalwani, Vaibhav, 2024. "Incorporating green assets in equity portfolios," Finance Research Letters, Elsevier, vol. 59(C).
  2. Vaibhav Lalwani & Vedprakash Vasantrao Meshram, 2022. "The cross-section of Indian stock returns: evidence using machine learning," Applied Economics, Taylor & Francis Journals, vol. 54(16), pages 1814-1828, April.
  3. Vaibhav Lalwani & Madhumita Chakraborty, 2020. "Aggregate earnings and gross domestic product: International evidence," Applied Economics, Taylor & Francis Journals, vol. 52(1), pages 68-84, January.
  4. Lalwani, Vaibhav & Chakraborty, Madhumita, 2018. "Asset pricing factors and future economic growth," Economics Letters, Elsevier, vol. 168(C), pages 151-154.

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.

Articles

  1. Lalwani, Vaibhav, 2024. "Incorporating green assets in equity portfolios," Finance Research Letters, Elsevier, vol. 59(C).

    Cited by:

    1. Mohammed, Kamel Si & Serret, Vanessa & Urom, Christian, 2024. "The effect of green bonds on climate risk amid economic and environmental policy uncertainties," Finance Research Letters, Elsevier, vol. 62(PA).

  2. Vaibhav Lalwani & Vedprakash Vasantrao Meshram, 2022. "The cross-section of Indian stock returns: evidence using machine learning," Applied Economics, Taylor & Francis Journals, vol. 54(16), pages 1814-1828, April.

    Cited by:

    1. Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
    2. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.

  3. Vaibhav Lalwani & Madhumita Chakraborty, 2020. "Aggregate earnings and gross domestic product: International evidence," Applied Economics, Taylor & Francis Journals, vol. 52(1), pages 68-84, January.

    Cited by:

    1. Thanh NGUYEN, Phong & Le Hoang Thuy To NGUYEN, Quyen, 2020. "Critical Factors Affecting Construction Price Index: An Integrated Fuzzy Logic and Analytical Hierarchy Process," MPRA Paper 103437, University Library of Munich, Germany, revised 31 May 2020.

  4. Lalwani, Vaibhav & Chakraborty, Madhumita, 2018. "Asset pricing factors and future economic growth," Economics Letters, Elsevier, vol. 168(C), pages 151-154.

    Cited by:

    1. José Clemente Jacinto Ferreira & Ana Paula Matias Gama & Luiz Paulo Fávero & Ricardo Goulart Serra & Patrícia Belfiore & Igor Pinheiro de Araújo Costa & Marcos dos Santos, 2022. "Economic Performance and Stock Market Integration in BRICS and G7 Countries: An Application with Quantile Panel Data and Random Coefficients Modeling," Mathematics, MDPI, vol. 10(21), pages 1-35, October.

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