Policy uncertainty and cash holdings of construction firms in India: a dynamic panel regression approach

Rajni Kant Rajhans & Harish Kumar Singla

International Journal of Economics and Accounting2023https://doi.org/10.1504/ijea.2023.135579article
ABDC C
Weight
0.26

What the paper says

The study aims to understand the dynamic impact of economic policy uncertainty on the cash holdings patterns of construction firms in India. A dynamic panel regression model was created with cash to total assets as the dependent variable and the policy uncertainty, natural log transformation of total assets as a proxy of size, natural log transformation of dividends, price to book value ratio in times as a proxy of growth opportunities, Indian promoter holding in percentage as a proxy of ownership, debt-equity ratio in times as a measure of leverage, return on total assets in percentage as a measure of profitability and change in sales as a measure of volatility as independent variables. Further, the data was split into two study periods (2003-2011 and 2012-2020) for a detailed investigation of the dynamic relationship between policy uncertainty and firm-level cash holding. The findings suggest that policy uncertainty and its lag, cash holding lag are the prominent drivers of cash holdings for Indian construction firms.

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https://doi.org/https://doi.org/10.1504/ijea.2023.135579

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@article{rajni2023,
  title        = {{Policy uncertainty and cash holdings of construction firms in India: a dynamic panel regression approach}},
  author       = {Rajni Kant Rajhans & Harish Kumar Singla},
  journal      = {International Journal of Economics and Accounting},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1504/ijea.2023.135579},
}

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Policy uncertainty and cash holdings of construction firms in India: a dynamic panel regression approach

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.