DR ANINDITA BHATTACHARJEE
@scmsnoida.ac.in
Associate Professor at symbiosis Centre for Management Studies
Symbiosis International University
RESEARCH INTERESTS
Broad areas:
• Modeling and simulation
• Quantitative Finance
• Econophysics
Specific areas:
• Modelling Financial data
• Analysing time series and forecast
• Exploring and characterizing capital market
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anindita Bhattacharjee, Jaya M. Prosad, and Bikramaditya Ghosh
Informa UK Limited
Anindita Bhattacharjee, Dolly Gaur, and Kanishka Gupta
Emerald
PurposeIndia is not geographically close to either Russia or Ukraine. However, India's trade relations with them make it vulnerable to the consequences of the war between these countries. Thus, the present study aims to examine the impact of the Russia–Ukraine war on various sectoral indices of the Indian economy.Design/methodology/approachEvent study methodology has been used in this study for analysis. The date of the war announcement is the event day. The sample studied includes ten sectors of the Indian economy listed on the National Stock Exchange (NSE). Results correspond to the period of −167 days to +20 days of the announcement of the war, i.e. from June 25, 2021, to March 28, 2022.FindingsAlmost all the sample sectors earned significantly positive abnormal returns in the post-event period. The metal industry has led this group by showcasing the highest abnormal returns. Though Indian sectors made overall positive returns, the market soon corrected itself and abnormal returns were wiped out.Practical implicationsThese results can benefit portfolio managers, analysts, investors and policymakers in hedging risks and selecting suitable investments during increased global uncertainty. The study's conclusions help policymakers establish an institutional and supervisory framework that will make it easier to spot systematic risks and reduce them by putting countercyclical measures in place.Originality/valueIndia has no geographical proximity or trade relations with Russia or Ukraine, as strong as any other European country. However, Russia has remained a strong ally to India in the trade of defense equipment. Similar is the case with Ukraine, a significant global partner for India. Thus, the impact of conflict between these two countries has not been limited to Europe only but has also engulfed related economies. Hence, the present study is one of the first attempts to examine the burns sustained by the Indian economy due to this war.
Anindita Bhattacharjee, Neeru Sidana, Richa Goel, Anagha Shukre, and Tilottama Singh
Emerald
PurposeThe study will add to the current discourse on the Israel-Hamas conflict by examining the impact of the war on the stock markets of trading partners. Stock market returns inevitably rise as globalization keeps integrating financial markets and economies around the world. Thus, the impact of war is assessed across a range of indicators that are similar in some way, such as geographic location, political climate or economic standing. Thus, the goal of this study is to investigate how the Israel-Hamas war affects trading partner countries' stock performance.Design/methodology/approachEvent study methodology is applied using Morgan Stanley Capital Index (MSCI) as a benchmark index. The influence of the Israel-Hamas war on the world's major stock markets is evaluated using a market model. The study takes into account Israel and its 23 trading partners. To capture the locational asymmetry in the outcome, the countries are further categorized according to their geographic locations. The official declaration of war came on October 7, 2023, a non-trading day. Consequently, October 9, 2023, is designated as the event day in this study. The data was gathered between January 1, 2023, and December 31, 2023, with an estimation period of 140 days taken into account to minimize bias.FindingsAsymmetric response is shown among the nations due to their economic standing, geographic proximity and trading links with Israel. While Austria, Greece, Egypt, Palestine and Israel had the greatest negative effects, Argentina, Japan and Chile saw significant beneficial effects. The remaining nations had little effect. The market quickly adjusted itself, eliminating anomalous returns.Research limitations/implicationsTaking into account the topic's criticality, the current work has certain limits. The study has used the daily data to limit its reach to the stock market exclusively. In the future, academics can combine high-frequency stock market data with data from other macroeconomic variables, such as currency or different commodities markets, to further their research. Furthermore, a cross-national comparison of the impact in terms of direction and intensity regarding developing global groups such as I2U2, LEVANT, BRICS, MIKTA, SCO, NATO, SAARC and OECD can provide a more comprehensive understanding in this context. To gain insight into the durability and adaptation of financial systems over time, longitudinal studies could be conducted to monitor the long-term effects of geopolitical crises on the stock markets of trading partner countries.Practical implicationsBy better managing investment portfolios and evaluating potential risks associated with trading partners involved in such conflicts, investors and businesses can lessen the impact of geopolitical tensions on stock market performance. These results contribute to our understanding of how geopolitical conflicts affect stock markets.Originality/valueThis research provides an extensive analysis of the global impact of Israel-Hamas tensions on stock market volatility by taking into account trading partners. This allows for the investigation of how various market structures and economic systems react to geopolitical turmoil. The present study is one of the first attempts to look into how disturbances in one region might affect continents to better understand the dynamics of global trade and economic interdependencies.
Anindita Bhattacharjee
IEEE
Synchronization of an ensemble of neurons is an emergent phenomenon explaining the complexities of cognitive dynamics. This work intends to understand the mechanism underlying the synchronous behaviour of the interacting neurons. For this purpose, an all-to-all connected network with a combination of inhibitory and excitatory neurons are considered wherein, the strength of the coupling between the neurons is assumed to be randomly distributed. Synchronization parameter is measured by varying the proportion of inhibitory neurons. The intensity of synchrony varies with the proportion of inhibitory neurons. Moreover, the emergence of synchronization transition in the vicinity of equalisation of inhibitory and excitatory neurons is a novel outcome of the cognitive dynamics of coupled neurons. The robustness of this response is tested by varying mean coupling strength and its standard deviation. The findings can be helpful to understand the complex firing behaviour of the biological neurons and provide scope of medical research for physiological and neurological disorders.
Anindita Bhattacharjee, Monomita Nandy, and Suman Lodh
Springer Science and Business Media LLC
AbstractIn this study, we examine how sectors of the National Stock Exchange from India respond to the uncertainties introduced by the COVID-19 pandemic. By examining the synchronization between the sector-specific and overall market index (NIFTY 50) reaction to COVID-19, we contribute to the inconclusive ongoing academic literature regarding the impact of COVID-19 on the stock market, especially in the context of persistence in an emerging market. To analyze the persistence of sectoral indices, we apply multifractal detrended fluctuation analysis (MFDFA). We use the generalized Hurst exponent and singularity spectrum as indicators for persistence and spectral width as a measure of volatility. Our analysis shows that the sample sectoral indices are persistent before and after the announcement of COVID-19; however, volatility in some sectors reduces post-announcement of COVID-19. The findings will enrich the academic literature on the relationship between sector-specific and overall market indexes. In practice, the paper will guide investors to organize their portfolios, especially during future economic uncertainty.
Anunay K. Chaudhary, Saureesh Das, Pankaj Narang, Anindita Bhattacharjee, and M. K. Das
Springer Nature Switzerland
Bhumika Gambhir and Anindita Bhattacharjee
Emerald
Purpose The purpose of this paper is to highlight how Artificial intelligence (AI) and its subsets are changing the face of the accounting and finance (A&F) profession. Expectations from A&F professionals are changing due to the expeditious changes in technology. This paper proposes new skill set expectations from these professionals. Design/methodology/approach This is a viewpoint paper based on the opinions/views of the employees working in medium and large organizations in A&F in the United Arab Emirates (UAE). The employee viewpoints were gathered through an emailed questionnaire. Findings This paper illustrates the need to embrace technology and acquire the necessary skills to work in conjunction with machines. This will help A&F professionals to meet the changing expectations of employers. Practical implications This paper emphasizes the usefulness of training, learning, and development of the skills necessary for A&F professionals to work with AI and its subsets. Originality/value This paper discusses how AI will bring in challenges and opportunities in the future. It suggests how A&F professionals can embrace technology (driven by AI) and understand to work with it.
Himani Singh
Institute of Advanced Scientific Research
Anindita Bhattacharjee and M.K. Das
Elsevier BV
ANINDITA BHATTACHARJEE, M. K. DAS, and SUBHENDU GHOSH
World Scientific Pub Co Pte Lt
Synchronization behavior of an ensemble of unidirectionally coupled neurons with a constant input is investigated. Chemical synapses are considered for coupling. Each neuron is also considered to be exposed to a self-delayed feedback. The synchronization phenomenon is analyzed by the error dynamics of the response trajectories of the system. The effect of various model parameters e.g. coupling strength, feedback gain and time delay, on synchronization is also investigated and a measure of synchrony is computed in each cases. It is shown that the synchronization is not only achieved by increasing the coupling strength, the system also required to have a suitable feedback gain and time delay for synchrony. Robustness of the parameters for synchrony is verified for larger systems.
Subhendu Ghosh, Anindita Bhattacharjee, Jyotirmoy Banerjee, Smarajit Manna, Naveen K. Bhatraju, Mahendra. K. Verma, and Mrinal K. Das
Springer Netherlands