Page 18 - Vol-4-Issue-1-Sep-Dec2022

RESEARCH AT IIMV

We examine the impact of the COVID-19 pandemic and the administrative interventions
on stock returns across 21 sectors in India. Almost all sectors reacted negatively to the
pandemic announcement on 11 March 2020. The early lockdown resulted in negative
abnormal returns. However, this effect was transitory as investors gained confidence and
some sectors quickly revived. The unlocking led to positive abnormal returns across all
sectors, except chemical products. Click here for the paper

OTHER PUBLICATIONS

1. Mr. Reetendra Singh, PhD 2021 batch (Decision Sciences area) co-authored a book chapter titled

‘Overview of Non-Linear Interval Optimization Problems’along with Bhurjee, A., Kumar, P, Singh, R.,
Yadav, V. (2022).

2. Mr. Nandan Kumar Singh, PhD 2019 batch (Production and Operations Management)
co-authored a Magazine article along with Abigail Linder; the tile of the article is ‘Foregrounding Operations
Research in Modern Art’ published in INFORMS ORMS Today. here is the link to the article.

He authored another Magazine article titled ‘Are Firms Ready for Strategic Cybersecurity Resilience? in
INFORMS ORMS Tomorrow. here is the link to the article.

CONFERENCE PRESENTATIONS

1. Prof. Abhishek participated in RecSys Challenge 2022: Fashion Purchase Prediction in

September, 2022 at Seattle, USA.His co-authored paper was published as part of the conference proceedings
titled ‘Proceedings of the 16th ACM Conference on Recommender Systems’. This paper provides the detail of
the prestigious ACM RecSys Challenge 2022, where over 250+ teams had participated from all over the globe.
The RecSys 2022 Challenge was a session-based recommendation task in the fashion domain and was
sponsored by UK Based Fashion AI Company called Dressipi.
For more information, Click here.

He also took part in RecSys Challenge 2022 Dataset: Dressipi 1M Fashion Sessions in September, 2022 at Seat-
tle, USA. His co-authored paper was published as part of the conference proceedings titled ‘RecSysChallenge
'22: Proceedings of the Recommender Systems Challenge 2022’. This paper gives an overview of the content and
structure of the dataset used in RecSys 22 challenge, as well as explaining the process by which it was construct-
ed. It helps the research community to use anonymized version industry data set for further research. For more
information, Click here.

16 VOL. / ISSUE /SEP DEC