Sanjeev Kumar

Dr. Sanjeev Kumar

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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Md. Kausar AlamMd. Kausar Alam
Md. Kausar Alam
Mosab I. TabashMosab I. Tabash
Mosab I. Tabash
SBSyed Mabruk Billah
Syed Mabruk Billah
SKSanjeev Kumar
Sanjeev Kumar
SASuhaib Anagreh
Suhaib Anagreh
The conflict between Russia and Ukraine has been causing knock-on effects worldwide. The supply and price of major commodity markets (oil, gas, platinum, gold, and silver) have been greatly impacted. Due to the ongoing conflict, financial markets across the world have experienced a strong dynamic regarding commodities prices. This effect can be considered the biggest change since the occurrence of the financial crisis in the year 2008, which explicitly influenced the oil and gold markets. This study attempts to investigate the impacts of the Russian invasion crisis on the dynamic connectedness among five commodities and the G7 and BRIC (leading stock) markets. We have applied the time-varying parameter vector autoregressive (TVP-VAR) method, which reflects the way spillovers are shaped by various crises periods, and we found extreme connectedness among all commodities and markets (G7 and BRIC). The findings show that gold and silver (commodities) and the United States, Canada, China, and Brazil (stock markets) are the receivers from the rest of the commodities/market’s transmitters of shocks during this invasion crisis. This research has policy implications that could be beneficial to commodity and stock investors, and these implications could guide them to make many decisions about investment in such tumultuous situations. Policymakers, institutional investors, bankers, and international organizations are the possible beneficiaries of these policy decisions.

2 January 2024 in Applied Economics
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Journal Article
Open access
SBSyed Mabruk Billah
Syed Mabruk Billah
MHMohammad Enamul Hoque
Mohammad Enamul Hoque
FBFaruk Balli
Faruk Balli
JKJaspreet Kaur
Jaspreet Kaur
SKSanjeev Kumar
Sanjeev Kumar

24 November 2022 in Applied Economics
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Journal Article
Closed access
Mosab I. TabashMosab I. Tabash
Mosab I. Tabash
SBSyed Mabruk Billah
Syed Mabruk Billah
SKSanjeev Kumar
Sanjeev Kumar
Md. Kausar AlamMd. Kausar Alam
Md. Kausar Alam
FBFaruk Balli
Faruk Balli
The study investigates the return spillovers across 20 Islamic and 34 conventional banks among GCC markets (UAE, Saudi Arabia, Bahrain, Qatar, Kuwait) over the period 2005–2022 based on Dieobold and Yilmaz (2014) and Barunik and Krehlik (2018) methods. The outcomes interestingly reveal that the spillover between markets is time-varying, asymmetric, and crisis-sensitive. Moreover, short-oriented spillovers dictate the long-oriented spillovers, while long-oriented spillovers establish the major chunk of the total return spillovers. The results of the DY and BK approach show a weak connectedness between all Islamic banks rather than conventional banks of GCC. Subsample analysis of COVID-19 and GFC strengthens the total and short-oriented spillovers more than long-term spillovers. The global financial stress is exposed with the most substantial coherence, increasing the connectedness of Islamic banks in the short and long-oriented markets compared to conventional banks. The results of the study have practical implications for bankers, central banks, Islamic banks, policymakers, international economic institutions, banking investors, FIIs, DIIs, and academia. Additionally, the current findings can be guiding forces for many investors across the world to take their portfolio decision by leveraging Islamic banks’ securities.

25 October 2025 in Research in International Business and Finance
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PMPriya Malhotra
Priya Malhotra
SKSanjeev Kumar
Sanjeev Kumar
MGMariya Gubareva
Mariya Gubareva
JMJosé Zorro Mendes
José Zorro Mendes

8 July 2024 in Review of Behavioral Economics
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Journal Article
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DSDiya Sharma
Diya Sharma
RGRenu Ghosh
Renu Ghosh
SKSanjeev Kumar
Sanjeev Kumar
The objective of this research article is to consolidate existing literature in the field of sentiments and cryptocurrency through a systematic literature review (SLR) by adopting the SPAR-4-SLR protocol and establishing a structured foundation for future studies. The study includes 42 research articles from the SCOPUS and WoS databases. The SLR offers several findings. First, research in the field of sentiment and cryptocurrency has surged in the recent past and the area is still young to research. Second, the study sheds light on major contributors to the field of study. Third, sentiment has proved to be a major predictor of cryptocurrency due to its characteristics. Finally, the study’s findings reveal a range of sentiment measure indicators in the literature and shed light on the influential role of sentiments in cryptocurrency prices, returns, and volatility. In the absence of systematic reviews in the field, this article makes a significant contribution.