Academic literature on the topic 'And Nifty Fifty Index'

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Journal articles on the topic "And Nifty Fifty Index"

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Dr., Rajani. "Impact of Automobile Companies Stock Returns on Indian Stock Market Indices with Special Reference to Nifty Fifty Index." International Journal of Management and Humanities (IJMH) 10, no. 5 (2024): 31–37. https://doi.org/10.35940/ijmh.E1676.10050124.

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<strong>Abstract:</strong> The Nifty Fifty Index has a free-float market capitalization-weighted index.it represents the weighted average of the top 50 Indian companies listed on the National Stock Exchange ,and it is one of the main stock indices being used in India, besides the BSE Sensex of the Bombay Stock Exchange. The Nifty 50 index represents 62% of the free float market capitalization of the stocks listed in the NSE (NATIONAL STOCK EXCHANGE) as on September 30,2022.sectors &lsquo;s stocks are performing more consistently and provide high return with high risk in (NSE)NATIONAL STOCK EXC
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Dr. Rajani. "Impact of Automobile Companies Stock Returns on Indian Stock Market Indices with Special Reference to Nifty Fifty Index." International Journal of Management and Humanities 10, no. 5 (2024): 31–37. http://dx.doi.org/10.35940/ijmh.e1676.10050124.

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The Nifty Fifty Index has a free-float market capitalization-weighted index.it represents the weighted average of the top 50 Indian companies listed on the National Stock Exchange ,and it is one of the main stock indices being used in India, besides the BSE Sensex of the Bombay Stock Exchange. The Nifty 50 index represents 62% of the free float market capitalization of the stocks listed in the NSE (NATIONAL STOCK EXCHANGE) as on September 30,2022.sectors ‘s stocks are performing more consistently and provide high return with high risk in (NSE)NATIONAL STOCK EXCHANGE ,these stocks are emerging
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R, JAGAN. "STOCK PRICE PREDICTION OF NIFTY 50." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29527.

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In this project a forecasting system is presented which can predict the change in stock market value of Nifty Fifty index using the historical data of various factors influencing the stock value. Traditional stock market prediction models only factor in the trends of the historical data of the targeted stock value which is then fed to a time series algorithm to get a forecast. Since the real-world stock market is constantly being influenced by various factors, it is not possible to take all those factors into account and make the forecast, let alone using the target stock by itself. So, the ob
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Abhijit, Biswas. "Impact of Reliance Industry Stock Price on NIFTY 50 - Granger Causality Test." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 11 (2018): 367–76. https://doi.org/10.5281/zenodo.1490556.

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It is well known for the Indian Equity Market NIFTY 50 is the National Stock Exchange of India&#39;s benchmark broad based stock market Index. Full form of NIFTY 50 is &quot;National Stock Exchange Fifty&quot;. Generally it represents the weighted average of fifty Indian Company Stocks; but right now it is fiftyone stocks and is one of the main stock indices in India. The study is an attempt to find the impact of Reliance Industries Limited(Reliance) stock price (one of the 51 stocks enlisted under NIFTY 50) on NIFTY 50. We have collected data mostly from i.) NSE and ii.) Yahoo finance. Annual
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Yadav, Ajit, and Anindita Chakraborty. "Investor Sentiment and Stock Market Returns: Evidence from the Indian Market." Purushartha - A Journal of Management Ethics and Spirituality 15, no. 01 (2022): 79–93. http://dx.doi.org/10.21844/16202115106.

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Investor sentiment refers to investors' confidence in the market based on their subjective beliefs. Investor sentiment has become a topic of substantial interest among academicians as investor sentiment induces uninformed demand shocks, which can potentially drive away stock prices from their fundamental value. This study expands the literature on the effect of investor sentiment on stock market returns by constructing an Investor sentiment index for the Indian market. We use Nifty-Fifty returns and the sample period ranges from April 2012 to March 2022. The Principal Component Technique is em
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Mazgaonkar, Dr Sahifa Moosa Muradbi. "Investigating the link between Cipla stock performance and nifty-fifty index." International Journal of Research in Finance and Management 7, no. 2 (2024): 470–73. http://dx.doi.org/10.33545/26175754.2024.v7.i2e.396.

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Mazgaonkar, Sahifa. "Investigating the Link Between Cipla Stock Performance and Nifty-Fifty Index." GBS Impact: Journal of Multi Disciplinary Research 10, no. 2 (2025): 315–25. https://doi.org/10.58419/gbs.v10i2.1022422.

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Manickam, Tamilselvan, and R. Madhumitha. "Random Walk Investigation in Indian Market with special reference to S&P Nifty – Fifty Stocks." International Journal of Finance & Banking Studies (2147-4486) 4, no. 4 (2015): 52–61. http://dx.doi.org/10.20525/ijfbs.v4i4.40.

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The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-param
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Suriyanarayanan, Manikandan, and Divya Santhosh. "Construction of Optimal Portfolio Using Sharpe Single Index Model on Nifty Fifty Stocks." GSB Insight: Journal of Business and Research 1, no. 1 (2024): 1–12. https://doi.org/10.63141/gijbr-v1n1-2024id2.

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Girish, G. P., and Nikhil Rastogi. "Efficiency of S&P CNX Nifty Index Option of the National Stock Exchange (NSE), India, using Box Spread Arbitrage Strategy." Gadjah Mada International Journal of Business 15, no. 3 (2014): 269. http://dx.doi.org/10.22146/gamaijb.5473.

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Box spread is a trading strategy in which one simultaneously buys and sells options having the same underlying asset and time to expiration, but different exercise prices. This study examined the efficiency of European style S&amp;P CNX Nifty Index options of National Stock Exchange, (NSE) India by making use of high-frequency data on put and call options written on Nifty (Time-stamped transactions data) for the time period between 1st January 2002 and 31st December 2005 using box-spread arbitrage strategy. The advantages of box-spreads include reduced joint hypothesis problem since there is n
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Dissertations / Theses on the topic "And Nifty Fifty Index"

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Watkins, Tate M. "Building a knowledge economy index for the fifty states with a focus on South Carolina the Clemson Knowledge Economy Index /." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219848943/.

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Dulanto, Jahl, and Aldo Accinelli. "Disco Verde fifty years after Frédéric Engel: The first season of excavations of the Paracas archaeological project at the site." Pontificia Universidad Católica del Perú, 2015. http://repositorio.pucp.edu.pe/index/handle/123456789/113528.

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Discovered and excavated by Frédéric Engel, Disco Verde is a key site to reconstruct a sequence of early pottery styles of the Paracas zone, in particular, and the south coast, in general. In this article, we present the preliminary results of the Paracas Archaeological Project excavations at the site, especially in relation to the stratigraphy, chronometry and associated ceramic styles.<br>Descubierto y excavado hace más de 50 años por Frédéric Engel, Disco Verde es un sitio clave para construir una secuencia deestilos de vasijas de cerámica tempranos de la zona de Paracas en particular y la
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Dixit, Alok. "Pricing efficiency of S & P CNX Nifty index options: a study in Indian securities market." Thesis, 2009. http://localhost:8080/iit/handle/2074/4664.

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Books on the topic "And Nifty Fifty Index"

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

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Ports, Dottie. Leaping into whole language: Fifty-nifty ways to make a book. Kaplan School Supply, 1993.

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Garkovich, Lorraine. Fifty-year index: Volumes 1-50, 1936-1985. Rural Sociological Society, 1985.

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Grotnik, Casimir J. A fifty-year index to Polish American studies, 1944-1993. East European Monographs, 1998.

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Lane, Samuel A. (Samuel Alanson), 1815-1905 and Fleming Betty, eds. Fifty years and over of Akron and Summit County: [Index]. Summit County Chapter, Ohio Genealogical Society, 1986.

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Museum, Peabody Essex, and Georgica Press, eds. The American Neptune: Fifty-year index ; volumes I-L, 1941-1990. Peabody Essex Museum, 1997.

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1933-, Heggie Grace F., and Adshead G. R, eds. An Index to Saturday night: The first fifty years, 1887-1937. Micromedia, 1987.

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Seminar on the Acquisition of Latin American Library Materials, Inc., ed. SALALM, the first fifty years: A handlist of publications with author index. SALALM Secretariat, The Latin American Library, Tulane University, 2008.

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Wilson, Craig. An index to Fifty years and over of Akron and Summit County. Summit County Chapter of the Ohio Genealogical Society, 1986.

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Beall, Dan. Index to "Child's history of Waseca County, Minnesota, for fifty years, 1854-1905". The Society, 1999.

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Book chapters on the topic "And Nifty Fifty Index"

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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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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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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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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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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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Chandrasekar, Vidya, Sharmila Ashraf, Nandan R. Naresh, S. Piradeep, S. Muralidhar, and J. Poornima. "A Study on the Plausibility of Financial Distress Due to Covid 19: Evidence from Nifty Fifty Companies." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67890-5_91.

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Chhikara, Yashasvi, and Parth Desai. "Regression Analysis on Macroeconomic Factors and Dividend Yield on Bank Nifty Index Returns." In Lecture Notes in Networks and Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9689-6_45.

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Bongale, Anupkumar M., Heeral Gandhi, Eshita Upadhyaya, et al. "Hybrid Dataset Trained LSTM Model for Forecasting Stock Market Trends: Analyzing Sentiment of Tweets and Nifty 50 Index Values." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3690-4_30.

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"Index." In Fifty Years Later, edited by Gert Oostindie. BRILL, 1995. https://doi.org/10.1163/9789004652521_015.

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Chaturvedi, Shubhangi, and Swarna Parmar. "The Green Economy and Sustainability." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7570-9.ch024.

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This study evaluates the influence of Climate Change Policies (CCPs) on the Nifty 50 benchmark index and its sectoral indices (Nifty FMCG, Nifty IT, and Nifty Metal) across pre CCP, post CCP and overall period including specific event days. Additionally, it investigates the presence of Granger causality between these sectoral indices and Nifty 50 returns. The theoretical framework integrates Climate Finance Theory, the ESG Framework, and Resilience Theory, with conceptual elements such as Climate Risk Indices, Event Study Methodology, and Sustainable Finance Principles. Employing a mixed-metho
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Conference papers on the topic "And Nifty Fifty Index"

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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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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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Dasgupta, Subhasis, Pratik Satpati, Ishika Choudhary, and Jaydip Sen. "Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50." In 2024 IEEE Silchar Subsection Conference (SILCON). IEEE, 2024. https://doi.org/10.1109/silcon63976.2024.10910416.

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Singh, Arhya, Rushank Shah, Yash Oza, Darshil Shah, Archana Nanade, and Abhay Kolhe. "Closing Price Prediction for the NIFTY 50 Index: A Univariate Analysis using Machine Learning and Deep Learning Techniques." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796504.

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Ukhalkar, Prakash, Ravikant Zirmite, Manasi Bhate, Suraj Hingane, and Swati Hingane. "Exploring Recent Advances in Sentiment Analysis, Research Methodologies, and Technical Approaches for the Study of Bank Nifty Index." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10775015.

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Rawlin, Rajveer S., and Priyanjali Das. "Forecasting India's Bank Nifty Index - A Time Series Approach." In 2022 Interdisciplinary Research in Technology and Management (IRTM). IEEE, 2022. http://dx.doi.org/10.1109/irtm54583.2022.9791767.

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Zhang, Xiaofeng, and Ling Lv. "Mutual Relationship between NIFTY Stock Index Future and Spot Markets." In 2010 3rd International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2010. http://dx.doi.org/10.1109/bife.2010.106.

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Pant, Kamal, Ranjana Rawat, and Alka Pant. "Forecasting of Nifty 50 Index Volatility Using Seasonal ARIMA Model." In 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT). IEEE, 2023. http://dx.doi.org/10.1109/incacct57535.2023.10141726.

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"Author index." In Proceedings of the Fifty-First IEEE Holm Conference on Electrical Contacts, 2005. IEEE, 2005. http://dx.doi.org/10.1109/holm.2005.1518272.

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Kumar, Dinesh, Meenu Gupta, and Rakesh Kumar. "Machine Learning based Nifty 50 Index Forecasting Using Candlestick Pattern: A Systematic Analysis." In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). IEEE, 2023. http://dx.doi.org/10.1109/accai58221.2023.10201058.

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Reports on the topic "And Nifty Fifty Index"

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Maupin, Julie, and Dr Michael Mamoun. DTPH56-06-T-0004 Plastic Pipe Failure, Risk, and Threat Analysis. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0012119.

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Reports, publications, papers, and databases were reviewed to better define risks and threats to plastic gas distribution piping. Failure modes were described for plastic PE piping with the most significant being slow crack growth (SCG). Short-term mechanical tests such as tensile, quick burst, melt index, and density tests did not show a correlation with a material's susceptibility to SCG failure. The bend-back test was able to visually identify 1971 low-ductile inner wall materials. PENT test failure times were reported for materials manufactured during the period1972-1985. The PENT test did
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Burbano Figueroa, Oscar, Milena Moreno Moran, Lorena Osorio Almanza, et al. Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2016. http://dx.doi.org/10.21930/agrosavia.informe.2016.2.

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Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis Abstract Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valley is a major cotton producer in Colombia and is heavily affected by this disease. Rainfall was identified as the main driv
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