Relevant bibliographies by topics / NIFTY

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'NIFTY'

Author: Grafiati
Published: 11 September 2023
Last updated: 25 July 2025

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Journal articles on the topic "NIFTY"

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Kumar, Pushpender, Noella Nazareth, and Harsh Pratap Singh. "Do Monetary Policy Announcements Affect Stock Market Performance: Evidence from Emerging Economy." Journal of Commerce and Accounting Research 14, no. 4 (2025): 65–76. https://doi.org/10.21863/jcar/2025.14.4.007.

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This study aims to examine the effect of monetary policy announcements on returns in the Indian stock market. An event study methodology is employed to evaluate the influence of such announcements. The research utilises daily time series data from broad market indices like the Nifty 50, Nifty 100, Nifty 200, and Nifty 500 to represent the Indian stock market, alongside sectoral indices including Nifty Auto, Nifty Bank, Nifty Financial Services, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Pharma, Nifty Private Bank, Nifty PSU Bank, and Nifty Realty. The results reveal that a reduction
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Vijay, Dr S., and Dr V. Prabakaran. "A study on Bank and IT nifty influence on Nifty 50." Journal of University of Shanghai for Science and Technology 23, no. 12 (2021): 316–22. http://dx.doi.org/10.51201/jusst/21/121030.

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NIFTY 50 is one of the benchmark indices which is been used in India. The index is built upon by the companies which are represented from various sectors. Each sector is given separate weightage depending upon the representations from each sector. This paper focused on to identify Pairwise Granger Causality between NIFTY 50 Index, NIFTY Bank Index and NIFTY IT Index. The researcher also focused on to identify the influence of Bank NIFTY and IT NIFTY and NIFTY 50 Index. The research was carried out with a total of 532 observations (closing value of each index) of spanned across January 2018 – F
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Pranchana, R., S. Sudhamathi, and S. Benneet. "Evaluating the Impact of Sectoral Indices on Stock Market Performance in the National Stock Exchange." Indian Journal of Information Sources and Services 15, no. 1 (2025): 238–43. https://doi.org/10.51983/ijiss-2025.ijiss.15.1.30.

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Economic growth can be measured by the stock market index industry survey, which measures the key indicators of a country's economic development. Furthermore, analyzing various indicators assists governments and investors in using them as a reference. This paper aims to explore the capital market efficiency of the NSE sector indexes by analyzing daily stock price returns. The study seeks to evaluate the effectiveness of the weak form of the selected indicators listed in the NSE. The paper will assess market efficiency by utilizing series and autocorrelation tests and testing the selected NSE i
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Amuthan, R. "Co relating NIFTY 50 Index Trend’s impact on NSE’s Sector based Indices Growth Momentum in Post COVID-19 led Indian Economy with Special reference to NIFTY Bank, NIFTY Consumer Durables, NIFTY IT and NIFTY Pharma Indices using Arithmetic Modelling." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 2184–89. http://dx.doi.org/10.17762/turcomat.v12i6.4824.

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The NIFTY 50 is the flagship index on the National Stock Exchange of India Ltd. (NSE). The Index tracks the behavior of a portfolio of blue chip companies, the largest and most liquid Indian securities. It includes 50 of the approximately 1600 companies traded (listed & traded and not listed but permitted to trade) on NSE, captures approximately 65% of its float-adjusted market capitalization and is a true reflection of the Indian stock market. This study probed in to the correlation between NIFTY 50 and NIFTY Bank, NIFTY 50 and NIFTY Consumer Durables, NIFTY 50 and NIFTY IT and NIFTY 50 a
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Narayan, Parab, and Y. V. Reddy. "Exploring the Causal Relationship Between Stock Returns, Volume, and Turnover across Sectoral Indices in Indian Stock Market." Metamorphosis: A Journal of Management Research 16, no. 2 (2017): 122–40. http://dx.doi.org/10.1177/0972622517730140.

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The traditional saying “Market Discounts Everything” is applicable to stock returns, trading volume, and turnover as well. The present study is an analytical attempt to examine the causal relationship between stock returns, trading volume, and turnover across 10 sectoral indices of National Stock Exchange (NSE) for the period 2006–2016. To critically examine this relation, the study uses various statistical techniques such as descriptive statistics, correlation analysis, regression analysis, and econometric tests such as Granger causality test and augmented Dickey–Fuller test. The required ana
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Dharani, M. "Seasonal Anomalies between S&P CNX Nifty Shariah Index and S&P CNX Nifty Index in India." Journal of Social and Development Sciences 1, no. 3 (2011): 101–8. http://dx.doi.org/10.22610/jsds.v1i3.633.

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The present study compares the risk and return of the Nifty Shariah index and Nifty index at days, months and quarters wise during the period 2nd January 2007 to 31st December 2010. The raw returns of the both indices are calculated as today price minus yesterday price divided by yesterday price. The t- test has been used to test the mean returns difference between both indices. The average Monday return of the Nifty Shariah index is compared with average return of the Nifty index by using two sample t-test. Like that, the average returns of the remaining of the days of Nifty Shariah index are
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Ashri, Dhananjay, Bibhu Prasad Sahoo, Ankita Gulati, and Irfan UL Haq. "Repercussions of COVID-19 on the Indian stock market." Linguistics and Culture Review 5, S1 (2021): 1495–509. http://dx.doi.org/10.21744/lingcure.v5ns1.1792.

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The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact
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RJ Prashanth and Dr. B Ramya. "THE COMPARATIVE ANALYSIS OF SECTORIAL INDICES WITH NSE NIFTY 50." Juni Khyat 15, no. 02 (2025): 104–8. https://doi.org/10.36893/jk.2025.v15i2.031.

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This study explores the correlation between the NIFTY 50 index and sectoral indices like NIFTY Bank, NIFTY Auto, NIFTY Energy, and NIFTY IT on the NSE. Using statistical methods such as Pearson’s correlation, regression analysis, and ANOVA, the findings reveal a strong correlation between the NIFTY 50 and sectors like banking, auto, and energy, with the IT sector showing a moderate relationship. The results provide insights for investors on sectoral diversification and optimizing portfolio performance.
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Stevens, Kerrie. "Nifty Newsletters." ANZTLA EJournal, no. 15 (September 15, 2017): 94–101. http://dx.doi.org/10.31046/anztla.vi15.460.

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Parlante, Nick, David Matuszek, Jeff Lehman, David Reed, John K. Estell, and Donald Chinn. "Nifty assignments." ACM SIGCSE Bulletin 36, no. 1 (2004): 46–47. http://dx.doi.org/10.1145/1028174.971318.

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Dissertations / Theses on the topic "NIFTY"

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Yutzy, Evan. "Nifty Shades of Beige: The Exploration of Color Lexicology Related to Sexual Identity." Kent State University Honors College / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1430744655.

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Pack, Kendall G. ""We want to get down to the nitty-gritty": The Modern Hardboiled Detective in the Novella Form." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4247.

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This thesis approaches the issue of the detective in the 21st century through the parodic novella form. The main body of the work is a piece of fiction about an amateur detective trying to find a solution to an imagined crime. This comes from my study of detective fiction, starting with Oedipus and ending with twentieth and twenty-first century examples, especially in the works of Thomas Pynchon and Chester Himes, where the detective loses power. The novella follows Whitney Sloat as he acts as detective in a world that can’t let go of the hardboiled traditions. He and the people around him str
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Orchard, Frances Claire Haynes. "Representations of Afro-Taíno Puerto Rican American women’s identities and connections to place: The cultural productions of Nitty Scott 2016-2018." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2835.

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This research explores song lyrics, interview statements and social media posts produced by Black, Taíno and Puerto-Rican American rapper Nitty Scott, between January 2016 and December 2018. It positions Nitty Scott as an important Indigenous decolonial artist who – via these ‘cultural productions’ – constructed an archive of decolonial commentary that, in my reading, aimed to reconstruct Black and Taíno-Puerto-Rican-American women’s identities and connections to place, in relation to colonial histories. Decolonial theorists such as Walter D. Mignolo have explored how colonised artists such as
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Hartung, Anett. "An essential role of IRF4 in translating TCR a nity-mediated activation and CD8+ e ector T cell fate decisions." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17555.

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CD8+ T Zellen unterstützen die Beseitigung von Pathogenen und sind somit entscheidend bei der Bekämpfung von Infektionen. Neben der Antigendosis und dem inflammatorischen Zytokinemilieu hat auch die Stimulation durch den TZR einen entscheidenden Einfluss auf die CD8+ T Zellantwort. Das transkriptionelle Programm, die finale Größe und Dauer der klonalen Expansion und der Start der Kontraktionsphase werden durch die TZR-Signalstärke bestimmt. Schwache TZR-Stimulation führt zu einer verminderten Expansion und vermittelt eine frühzeitige Kontraktionsphase, die eine Entwicklung von Gedächtniszellen
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Testa, Maurice. "Contribution à la réalisation d'un service de transfert de fichiers et de transfert et de manipulation de travaux sur materiel MITRA suivant le standard NIFTP B (80)." S.l. : Université Grenoble 1, 2008. http://dumas.ccsd.cnrs.fr/dumas-00312748.

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SCHAFFNER, RECKINGER ELISABETH. "Role des motifs cytoplasmiques nply#7#4#7 et nity#7#5#9 de la sous-unite beta(3) dans les fonctions de signalisation de l'integrine alpha(v) beta(3)." Paris 11, 1998. http://www.theses.fr/1998PA112305.

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Les integrines sont des glycoproteines heterodimeriques alpha/beta transmembranaires qui relient la matrice extracellulaire au cytosquelette. Leur double role dans l'adherence cellulaire et la transmission de signaux est regulee surtout par la partie cytoplasmique de la chaine beta. Afin de determiner le role des motifs cytoplasmiques hautement conserves cyto-3 nity#7#5#9 et cyto-2 nply#7#4#7 de la sous-unite beta(3) dans le fonctionnement de l'integrine alpha(v)beta(3), nous avons exprime dans les cellules cho des mutants beta(3), presentant des deletions sequentielles des motifs cyto-3 et cy
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Hartung, Anett [Verfasser], Kai [Gutachter] Matuschewski, Andreas [Gutachter] Thiel, Hans-Dieter [Gutachter] Volk, and Alf [Gutachter] Hamann. "An essential role of IRF4 in translating TCR a nity-mediated activation and CD8+ e ector T cell fate decisions / Anett Hartung. Gutachter: Kai Matuschewski ; Andreas Thiel ; Hans-Dieter Volk ; Alf Hamann." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/110984641X/34.

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AKBARITABAR, ALIAKBAR. "QUANTITATIVE SOCIOLOGY OF ACADEMIC WORK IN AN ERA OF HYPERCOMPETITION AND RANKINGS." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/635951.

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In recent years, higher education institutes have shifted towards managerial organisational models. Some observers see this as a sign of our neoliberal times, with obsession for rankings, performance indicators and resource allocation. The result is that academic work is more competitive nowadays. Rankings and quantitative analysis of research output are more and more crucial for hiring, promotion and funding allocations. Chapter 2 touches upon these themes and suggests the fruitfulness of cross fertilisation between sociology and science studies. To study this hyper-competitive context, we de
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DEKAA, BARNAA LOHITAA. "STUDY OF IMPACT OF DEMONETIZATION ON INDIAN STOCK MARKET." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16990.

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On 8th November 2016, the then Prime Minister of India, Mr. Narendra Modi announced that the Indian Currency Notes of value 500 and 1000 will no more be a legal tender. This news came as storm for the Indian which was received with mixed feelings. Prior to Demonetization, cash in circulation was nearly 220 Billion dollars of which approximately 87% i.e. nearly 190 Billion Dollar was in INR 500 & INR 1000 currency notes. This meant its impact was bound to be felt by all sections of the society. In this present paper, we wanted to analyse the impact of this event of demonetization particu
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Anderson, BR. "Structure, alteration and mineralisation of the Nifty Copper Deposit, Western Australia: Implications for ore genesis." Thesis, 1999. https://eprints.utas.edu.au/12960/1/Front_Anderson_B_PhD1999.pdf.

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The Nifty Cu deposit is located approximately 450km east of Port Hedland, Western Australia in subgreenschist grade rocks of the Proterozoic Paterson Orogen. The deposit consists of a secondary oxide resou~ce of 12.2 Mt@ 2.52% Cu and a primary sulphide ore body of94Mt @1.63% Cu (0.5% cut-off). Mineralisation is hosted in plunging syncline of carbonaceous and dolomitic shales of the upper Broadhurst Formation. The depositional age of the Broadhurst Formation is constrained to between 1132±21 and 816±6Ma. A reinterpretation of the local stratigraphy proposes that the mine sequence consist
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Books on the topic "NIFTY"

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Palmer, Carolann. Nifty ninepatches. That Patchwork Place., 1992.

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Rasmussen, Greta. Nifty fifty. Tin Man, 1988.

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Eldridge, Roy. The nifty cat. New World Records, 1986.

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Avery, Virginia. Virginia Avery's nifty neckwear. C&T Pub., 1994.

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Eric, Ladizinsky, and Yamamoto Neal, eds. 50 nifty science experiments. NTC Publishing, 1992.

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Eric, Ladizinsky, and Yamamoto Neal ill, eds. 50 nifty science experiments. Lowell House Juvenile, 1992.

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ill, Staunton James, and Yamamoto Neal ill, eds. 50 nifty origami crafts. Lowell House Juvenile, 1992.

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ill, Yamamoto Neal, ed. 50 nifty magic tricks. Lowell House Juvenile, 1992.

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Taylor, Kevin. 50 nifty travel games. Lowell House Juvenile, 1994.

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Hollow, Michele C. Nifty thrifty math crafts. Enslow Elementary, 2008.

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Book chapters on the topic "NIFTY"

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Josephine, V. L. Helen, V. Harshitha Moulya, S. Jeevananda, and J. R. Prathuri. "Nifty index." In Deep Learning in Engineering, Energy and Finance. CRC Press, 2024. https://doi.org/10.1201/9781003564874-9.

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Dlugos, Jenn, and Charlie Hatton. "A Nifty Trip from Crypt to Tip." In You under the Microscope. Routledge, 2022. http://dx.doi.org/10.4324/9781003292111-30.

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Ashok Kumar, Balaji, and Lavanya Balaji. "Depiction of Nifty Midcap Index Efficiency Using ARIMA." In Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5015-7_11.

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Alexander, Rhoda, and Husam Aldin Al-Malkawi. "The Impact of Macroeconomic Factors on the Nifty Auto Index." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27462-6_2.

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AbstractThe aim of the paper is to investigate the association between selected macroeconomic variables like crude price, exchange rate, index of industrial production, inflation, interest rate, repo rate, gold price and the auto index of the National Stock Exchange (NSE) of India during a time when the automotive sector in India witnessed the sharpest dip in sales. The study adopts Autoregressive Distributed Lag (ARDL) co-integration approach and performs suitable diagnostic tests. Results indicate that, exchange rate has a significant negative relationship with Nifty auto index in the long r
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Balaji, Lavanya, H. B. Anita, and Balaji Ashok Kumar. "Volatility Clustering in Nifty Energy Index Using GARCH Model." In Intelligent Communication Technologies and Virtual Mobile Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1844-5_53.

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Swetha, B., and Kriti Arya. "Nifty 50 Prediction Using Machine Learning Algorithms and Technical Indicators." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1158-4_21.

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Kumar, Bhupendra, and Neha Yadav. "NIFTY-50 Index Forecasting Using CEEMDAN Decomposition and Deep Learning Models." In Proceedings on International Conference on Data Analytics and Computing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3432-4_27.

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Singh, Dilip, and Bhupendra Kumar Gupta. "Closing Price Prediction of Nifty Stock Using LSTM with Dense Network." In Lecture Notes in Networks and Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4807-6_37.

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Dhanya, Manayath, Sanju Kaladharan, R. Manjima, Nikhita Sreekumar, and Abith Vijayakumaran. "Unleashing the Power of Data: An Analysis of Nifty 50 Pharmaceutical stocks." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6681-9_40.

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Dhondiyal, Aayush, Darshit Chauhan, and Geetika Munjal. "NIFTY 50 Stock Price Prediction Using Machine Learning Techniques and Technical Indicators." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9045-6_38.

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Conference papers on the topic "NIFTY"

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Hingane, Suraj, Manasi Bhate, Prakash Ukhalkar, Ravikant Zirmite, and Swati Hingane. "Exploring Investor Sentiment and Nifty 50 Volatility: A Behavioural Finance Perspective." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774954.

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Singh, Priya, and Manoj Jha. "Leveraging Deep Learning Ensembles for Stock Index Forecasting: A Nifty 50 approach." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10940898.

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Guptha, A. Sohan Avaneesh, Sri Surya Shobith Kamisetty, K. Rupesh Venkata Sai Krishna, Bharathi Mohan G, Gundala Pallavi, and Prasanna Kumar R. "Sector-Wise Portfolio Risk Assessment: Monte Carlo Simulation of NIFTY 50 Stocks." In 2025 International Conference on Advanced Computing Technologies (ICoACT). IEEE, 2025. https://doi.org/10.1109/icoact63339.2025.11005178.

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Roy, Sahajaunna, Abdul Hameed, Amrin Samar Sultana, and Rekha R. Nair. "Risk and Return Analysis of Prominent Sectoral Indices of NSE and NIFTY 50." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11031781.

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Shivsharan, Nitin, Mandar Kulkarni, Prarthana Ghadigaonkar, Indragopal Bille, Amol Waingankar, and Duradundi Sawant Badkar. "A Stacked LSTM-Based Deep Learning Approach for Forecasting Nifty 50 Market Lows." In 2025 3rd International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2025. https://doi.org/10.1109/icici65870.2025.11069482.

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G, Kalaiarasan, Premjith B, and Nimal Madhu Manjiparambil. "Integrating Hybrid Decomposition Methods and LSTM for Enhanced NIFTY Index Prediction and Trading Strategies." In 2024 IEEE North Karnataka Subsection Flagship International Conference (NKCon). IEEE, 2024. https://doi.org/10.1109/nkcon62728.2024.10774789.

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Mohan, Bharathi, Abhivyakti Yadav, Jayant Toleti, D. Sai Sruthik Reddy, R. Kaif Ahmed, and Gottipati Koushitha. "Sentiment-Driven Predictive Models for Nifty 50 Stock Market Fluctuations: A Time Series Analysis Perspective." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625537.

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Kaur, Balkaranjeet, and Ravinder Kumar Poonia. "A Deep Learning Approach to NIFTY 100 Stock Price Prediction Using LSTM and GRU Networks." In 2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN). IEEE, 2024. https://doi.org/10.1109/emergin63207.2024.10961331.

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DSouza, Laranya, Ankitha M. G, and Srinivas Bhogle. "Stock Price Prediction of Nifty 50 in India Using LSTM and ARIMA During Black Swan Events." In 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). IEEE, 2025. https://doi.org/10.1109/icmsci62561.2025.10894191.

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Yadav, Varsha, and K. Kiran Kumar. "NiftyLLaMA: An open information extraction system integrated with sentiment analysis for Nifty-50 companies using LLaMa-2." In 2024 2nd International Conference on Foundation and Large Language Models (FLLM). IEEE, 2024. https://doi.org/10.1109/fllm63129.2024.10852501.

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Reports on the topic "NIFTY"

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Powell, J., H. Ludewig, M. Todosow, and M. Reich. NIFTI and DISCOS: New concepts for a compact accelerator neutron source for boron neutron capture therapy applications. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/432936.

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