Byomakesh Debata

Dr. Byomakesh Debata

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 September 2020 in Journal of Public Affairs
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Journal Article
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BDByomakesh Debata
Byomakesh Debata
PPPooja Patnaik
Pooja Patnaik
AMAbhisek Mishra
Abhisek Mishra

1 September 2018 in Finance Research Letters
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Journal Article
Closed access
BDByomakesh Debata
Byomakesh Debata
SDSaumya Ranjan Dash
Saumya Ranjan Dash
JMJitendra Mahakud
Jitendra Mahakud

21 July 2019 in International Review of Finance
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Journal Article
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SDSaumya Ranjan Dash
Saumya Ranjan Dash
DMDebasish Maitra
Debasish Maitra
BDByomakesh Debata
Byomakesh Debata
JMJitendra Mahakud
Jitendra Mahakud

3 April 2018 in Journal of Financial Economic Policy
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Journal Article
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BDByomakesh Debata
Byomakesh Debata
JMJitendra Mahakud
Jitendra Mahakud
Purpose: This study aims to examine the relationship between economic policy uncertainty and stock market liquidity in an order-driven emerging stock market. Design/methodology/approach: Empirical estimates are based on vector autoregressive Granger-causality tests, impulse response functions and variance decomposition analysis. Findings: The empirical findings suggest that economic policy uncertainty moderately influences stock market liquidity during normal market conditions. However, the role of economic policy uncertainty for determining stock market liquidity is significant in times of financial crises. The authors have also observed a significant portion of variation in stock market liquidity that is attributed to investor sentiments during financial crises. Originality/value: This study is original in nature and provides evidence to consider economic policy uncertainty as a possible source of commonality in liquidity in the context of an emerging market.

21 June 2021 in Journal of Economic and Administrative Sciences
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AGArun Kumar Giri
Arun Kumar Giri
GMGeetilaxmi Mohapatra
Geetilaxmi Mohapatra
BDByomakesh Debata
Byomakesh Debata
Purpose: The main purpose of the present research is to analyze the relationship between technological development, financial development and economic growth in India in a non-linear and asymmetric framework. Design/methodology/approach: The study employs the nonlinear autoregressive distributed lags model (NARDL) and Hetemi J asymmetric causality tests to explore nonlinearities in the dynamic interaction among the variables. The stationarity properties of data are checked by using Ng–Perron and ADF structural break unit root tests. The unit root test confirms that the variables are non-stationarity in level and are differenced stationary. Findings: The study finds that there is a cointegrating relationship between technological development, financial development and economic growth in the long run. The findings suggest that a positive shock in technological development increases economic growth (coefficient value 1.497 at 1% significance level) and a negative shock will harm economic performance (coefficient value −0.519 at 1% significance level). A long-term positives shock in financial development boosts the economy (coefficient value 1.08 at 5% significance level) and negative shock hampers the economic performance (coefficient value −1.09 at 5% significance level). The asymmetric causality test result confirms bi-directional causality between technological development and economic growth and unidirectional causality from negative economic growth to negative technological development and bi-directional causality between economic growth and financial development, unidirectional negative financial development to economic growth. Research limitations/implications: The results of this research can significantly facilitate stakeholders and policymakers in devising short-term as well as long-term policies for financial development and technological innovation to achieve sustainable long-run economic growth in India. Originality/value: This paper is the first of its kind to empirically examine the cointegrating and causal relationship between technology, financial development and economic growth in India using non-linear asymmetric cointegration and causality tests.

1 January 2018 in Cogent Economics & Finance
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GGGaurav Gupta
Gaurav Gupta
JMJitendra Mahakud
Jitendra Mahakud
BDByomakesh Debata
Byomakesh Debata
ZYZhaojun Yang
Zhaojun Yang
Using a sample of listed Indian manufacturing companies, this study examines the role of chief executive officer’s (CEO’s) personal characteristics like age, tenure, education, and career experience in the determination of investment decisions of the firm. The dynamic panel data model estimation, more specifically the system generalized method of moments estimation results reveal a negative relation between CEO’s age and corporate investment. CEO’s financial education is positively associated with investment decisions. The investment cash flow sensitivity analysis posits that CEO’s age and financial education reduce the sensitivity of investment with respect to cash flow. The results are robust across different periods, defined on the basis of crises. In times of financial crisis, we document that firm’s liquidity and age, CEO’s career experience and tenure turn out to be significant determinants of corporate investment. This paper provides an out-of-sample evidence of the role of CEO’s personal characteristics on the determination of corporate investment, which is an unexplored issue from an emerging market perspective.