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)

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. 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. 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.
   2. Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.

2. 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.

3. 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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