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145 articles for “Financial analysis”
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A Comparative Financial Performance Assessment of Select FMCG Companies in India: Evidence from HUL and Britannia Industries
Abstract: This study takes a close look at the financial performance of two major players in India’s FMCG sector: Hindustan Unilever Limited (HUL) and Britannia Industries Limited (BIL). It covers the period from FY 2022–23 to FY 2024–25, with a focus on how each company manages its finances, grows its business, and keeps profits up in a market that’s always competitive. The analysis relies on secondary data from published annual reports …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 51–67 Read article
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Revenue Generation in Nigeria: A Financial Statistical Analysis of Taxation Impact on Sustainable Socioeconomic Infrastructure Development
Abstract: Revenue generation is an important government policy for generating finance for the implementation of the budget in Nigeria. The study statistically examined different sources of revenue generation for the government of Nigeria and their impact on socioeconomic infrastructure development. Therefore, time series data were used for the study, from 1987-2020. The time series data utilised, were based on information published by the Central Bank of Nigeria (CBN) statistical bulletin as …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 2, 2023 · pp. 30–41 Read article
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Sentiment Analysis for Financial Predictions: A Review
Abstract: AbstractSentiment analysis is one of the popular research areas in computer science, as it finds its application in numerous areas like finance, election and product reviews. Behavioral economics suggests that decision of investing in financial markets is driven by feelings like greed, fear etc. With widespread adoption of technology and digitization of corporate disclosures, news and social media platforms, and information expressed through words can be mined and used to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 59–68 Read article
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Financial Sustainability Analysis of Microfinance (MF) in West Bengal
Abstract: Microfinance (MF) programme is a remarkable attainment, especially in respect of rapidly popular larger anti-poverty programme. A variety of research establishes that micro-finance credit delivery system played a dominant role in different countries throughout the world. The study aims to assess the financial sustainability analysis of microfinance programme in West Bengal through selected performance indicators during the period 2006–2007 to 2015–2016. For this purpose, a total 519 SHGs were selected …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 21–25 Read article
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Techno-Economic Analysis of Fixed and Single Axis Tracking Systems Using NPV and IRR Methods
Abstract: A low power, low cost, high utility value photovoltaic power generating system has been designed and developed with an intention of catering to the needs of the rural population located in far flung villages or hilly regions where electricity supply is either unavailable or is erratic. The proposed solar photovoltaic system has been subjected to rigorous performance evaluation using the four widely used performance metrics namely, Energy Gain, Panel Efficiency, …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 34–45 Read article
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Inligence Cloud: Cloud-based Financial Analytics Platform
Abstract: Data analysis is an essential aspect of modern research and business decision-making. With the increasing amount of data being generated, the need for efficient and effective data analysis software is becoming more crucial. This software offers a range of features, including data visualization tools, statistical analysis capabilities, and machine learning algorithms. Users can import data from various sources and formats, including spreadsheets, databases, and CSV files. The software’s interface is …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 43–52 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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A Review on Online Analytical Process
Abstract: Innovation is a critical component of any modern business's competitiveness. This study presents the systematized findings of an investigation into OLAP technology. Nowadays, OLAP is one of the most widely used technologies in the world, with the majority of enterprise organizations utilizing the OLAP system for business analysis and decision support. In this review, we used a data collection method and a document review. As OLAP and data warehouse technology …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 1, 2022 · pp. 13–17 Read article
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Fundamental Analysis of Mid-Cap Stocks in the Indian IT Sector
Abstract: Fundamental analysis is also needed for the classification of financial assets (stocks, bonds, and currencies) using economic indicators or valuation methods to determine their true value. The present study focuses on mid-cap stocks in the information technology (IT) sector of the Indian market, which includes sectors such as software development, hardware manufacturing, semiconductors, IT services, internet and e-commerce, telecommunications, cybersecurity, and cloud computing. Mid-cap stocks may offer a good mix …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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A Review Study on Dynamic Analysis of Multistoreyed Buildings by using Seismostruct Software
Abstract: Civil Engineering structures are designed to withstand environmental forces like earthquake, along with gravity loads. These forces are random and dynamic in nature. Therefore the response of the structure is also dynamic and that is what causes the unsafe and uncomfortable conditions. So, performance based analysis of the structure is required which can be achieved by Incremental Dynamic Analysis (IDA) as well as Response Spectrum analysis (RSA). But, Incremental dynamic …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 53–63 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Life Cycle Costing of Water Treatment Plant in the Nashik City
Abstract: Abstract Life Cycle Costing (LCC) is a valuable technique, which is used for predicting and assessing the cost performance of the assets. This paper has presented the Life Cycle Costing (LCC) of 50 MLD Water Treatment Plant (WTP) located at Nilgiri Bagh, Nashik which was constructed and started operating in July, 2015. The study period for the LCC analysis is taken as 30 years. The main objectives of the paper …
Published in Journal of Water Pollution & Purification Research · Vol. 3, Issue 1, 2016 · pp. 25–30 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Solution of Power Crisis in Remote Hill Tracks of Bangladesh
Abstract: The demand of electric energy is rising in secluded areas of Bangladesh more than ever. But Bangladesh is still facing problem to solve the energy crises of its much larger urban demands. So it is important to find other sources of energy. Renewable energy can be a great solution to solve this problem. In this paper, we mainly focused on providing the need of energy of rural and remote areas …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 3, 2015 · pp. 18–28 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Phishing Attack, Its Detections and Prevention Techniques
Abstract: The relentless surge of cyber threats represents a pressing challenge to global security and individual privacy. Among these, phishing attacks remain a particularly pernicious form of cybercrime. This study provides a comprehensive review of phishing attacks, their evolution, methodologies, impacts, and countermeasures. The methods of perpetrating phishing attacks have grown in sophistication, extending beyond the common email phishing to include spear phishing, whaling, clone phishing, vishing, smishing, and search engine …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 13–25 Read article