Citation profile for Vaibhav Lalwani

Vaibhav Lalwani : Citation Profile

Xavier Labour Relations Institute (XLRI)

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Citations

RESEARCH PRODUCTION:

Articles

RESEARCH ACTIVITY:

   4 years (2018 - 2022). See details.
   Cites by year: 1
   Journals where Vaibhav Lalwani has often published
   Relations with other researchers
   Recent citing documents: 2.    Total self citations: 0 (0 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pla1103
   Updated: 2024-04-18    RAS profile: 2023-10-12
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Vaibhav Lalwani.

Is cited by:

Nguyen, Quyen (1)

Nguyen, Phong (1)

Marsi, Antonio (1)

Cites to:

French, Kenneth (3)

Fama, Eugene (1)

Titman, Sheridan (1)

West, Kenneth (1)

Zaremba, Adam (1)

Newey, Whitney (1)

zhang, xiaoyan (1)

Lo, Andrew (1)

merton, robert (1)

Hodrick, Robert (1)

Main data

Where Vaibhav Lalwani has published?

Journals with more than one article published	# docs
Applied Economics	2

Recent works citing Vaibhav Lalwani (2024 and 2023)

Year	Title of citing document
2023	Machine learning techniques for cross-sectional equity returns’ prediction. (2023). Loy, Thomas ; Poddig, Thorsten ; Metko, Daniel ; Fieberg, Christian. In: OR Spectrum: Quantitative Approaches in Management. RePEc:spr:orspec:v:45:y:2023:i:1:d:10.1007_s00291-022-00693-w. Full description at Econpapers \|\| Download paper
2023	Predicting European stock returns using machine learning. (2023). Marsi, Antonio. In: SN Business & Economics. RePEc:spr:snbeco:v:3:y:2023:i:7:d:10.1007_s43546-023-00487-4. Full description at Econpapers \|\| Download paper

Works by Vaibhav Lalwani:

Year	Title	Type	Cited
2018	Asset pricing factors and future economic growth In: Economics Letters. [Full Text][Citation analysis]	article	1
2020	Aggregate earnings and gross domestic product: International evidence In: Applied Economics. [Full Text][Citation analysis]	article	1
2022	The cross-section of Indian stock returns: evidence using machine learning In: Applied Economics. [Full Text][Citation analysis]	article	2