Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sayantan Kundu"'
Autor:
Sayantan Kundu, Aditya Banerjee
Publikováno v:
IIMB Management Review, Vol 36, Iss 1, Pp 56-70 (2024)
This paper measures the degree to which disclosed annual financial information assimilates into stock prices through the financial production process (FPP). Since it is established that price anchors impact investor trading decisions, the effect of p
Externí odkaz:
https://doaj.org/article/3fa6e8dcd72d4d648310c9c609cae105
Publikováno v:
Cogent Economics & Finance, Vol 10, Iss 1 (2022)
The purpose of this study is to examine whether perceived innovativeness moderates the relationship between working capital management (WCM) and firm value. The study uses a sample of 200 listed Indian firms for 2015–2019. The firms are classified
Externí odkaz:
https://doaj.org/article/248630af52634b7099ffccc6efbdbb8e
Autor:
Sayantan Kundu, Aditya Banerjee
Publikováno v:
Cogent Economics & Finance, Vol 9, Iss 1 (2021)
The purpose of this paper is to analyse the predictability of earnings information before the quarterly disclosure date. Two categories of firms are contrasted: the firms that announce better quarterly earnings than the prior period and the firms tha
Externí odkaz:
https://doaj.org/article/87e3876b62064fada464d08f36bdb960
Publikováno v:
Asian Review of Accounting. 31:153-175
PurposeThe study explores extant knowledge on the nature of the relationship between internal and external corporate governance mechanisms, particularly board characteristics and audit quality, respectively, while also investigating how the relations
Publikováno v:
Journal of Policy Modeling. 43:1181-1203
India’s Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) is the largest public-works based rural livelihood programme in the world. One of the important policy objectives of the Scheme is to curb rural out-migration by guaranteei
Autor:
Shalini Chouhan, Sayantan Kundu, Biswarup Biswas, Shivangi Mohanty, Khushi Roy, Subhra Debdas
Publikováno v:
Computational Intelligence and Healthcare Informatics. :393-407
Publikováno v:
Machine Learning for Healthcare Applications
Publikováno v:
Transforming Government: People, Process and Policy. 15:675-692
Purpose The COVID-19 pandemic educed extraordinary policy responses globally, including in India, to flatten the infection-growth curve. The trajectories of infections, recovery, and deaths vastly differed across Indian states. The purpose of this st
Autor:
Sayantan Kundu, Aditya Banerjee
Publikováno v:
Indian Journal of Finance. 17:8