RVIM RESEARCH BULLETIN
VOL 3, ISSUE 1 | June 2026
A snapshot of the research work produced by the faculty at RV Institute of Management (RVIM), Bangalore
Predicting Suicide Ideation Among College Students in Karnataka Using Machine Learning
Dr. Noor Firdoos Jahan
Suicide continues to be one of the top causes of death for young adults in India.
This research examines suicidal thoughts among college students in Karnataka and
analyses how machine learning can help identify individuals at high risk. Utilizing
primary data collected from 689 students in five districts and employing the Adult
Suicidal Ideation Questionnaire (ASIQ), this study uses decision tree algorithms to
identify significant predictors. Results indicate that age, educational path,
relationship problems, peer influence, and drug use are key factors. The research
suggests a data-centric model to assist educational organizations and policymakers
in creating focused initiatives.
A SEM–Neural Network Approach to Predict Customers Intention to Purchase Battery Electric Vehicles in the Bangalore
Dr. Noor Firdoos Jahan
BEVs play a key role in making mobility sustainable in India, especially in fast urban cities such as Bangalore. In spite of FAME II and state initiatives, people have not adopted electric vehicles in large numbers because they are uncertain about the benefits and the costs involved. Here, the study assesses Bangalore consumers’ decision to buy BEVs by using the techniques of PLS-SEM and NN analysis. Using responses from 246 participants, the study looks at how the “Theory of Planned Behavior's” concepts of personal evaluation of the behavior, Social expectations, and perception of behavioral feasibility interact with environmental performance, costs, and government incentives.
A Bibliometric Investigation into the Evolving Consumer Behavior and Market Dynamics
N Nagasubba Reddy, Dr. M Jahnavi, Dr. Purushottam Bung
This study aims to illustrate the research progress historical and topic trends in consumer behavior and market dynamics during the last 47 years. In the present study data is extracted from the SCOPUS database, R Studio and VOS software are employed to analyze the study results. In addition, this research illustrates Key topics, trends, main achievements, research directions, and future prospects in consumer behaviour and market dynamics. However, there is a significant relationship between consumer behaviour, consumer marketing, retailing, internet, marketing, marketing segmentation, retail marketing, customer loyalty, marketing strategy, advertising, shopping, marketing communication.
Analysing the Interplay Between Forex Rates and Financial Assets in India: Insights from ARIMA and VAR Models
Dr. M Jahnavi, Dr. Purushottam Bung, N Nagasubba Reddy
This study explores the complex association between Forex (foreign exchange rates) and various financial assets, including the stock market index, REIT rates, 10-year bond yields, T-bill interest rates, and gold prices. The objective of the current research is to analyse the impact of foreign exchange rate on these market and also to forecast the future trends for policy makers. The methodology used for the study is an analytical approach wherein the ARIMA model is employed first to forecast the future trends of the study variables based on the historical data for 10 years.
Neural Network-Based Volatility Forecasting: A Hybrid GARCH-ANN Model for Nifty 50
Dr. M Jahnavi, Pooja R Takalkar, Dr. Purushottam Bung, N Nagasubba Reddy
The study employed a neural network for forecasting the volatility of the Nifty 50 index for the year 2025 using historical GARCH-predicted volatility data for the period of 2013 to 2024. Historical garch-predicted volatility was fed as an input to train and test four different models of neural networks with different combinations of hidden layers. The efficiency of each of the models of GARCH is tested based on AIC, whereas mean squared error was considered in evaluating the neural network model.
Inflation-Adjusted Return Comparison of Sovereign Gold Bonds with Alternative Investment Avenues: A Decadal Analysis (2015–2024)
Anitha B.M. DSilva, Dr. Purushottam Bung
Sovereign gold bond (SGBs) is government—backed securities introduced as an alternative to physical gold investments. Issued by the Reserve Bank of India (RBI) on behalf of the Government of India, these bonds are denominated in grams of gold and linked to the domestic market price of gold with 999 purity. The scheme was launched on November 5, 2015, following its announcement in the Union Budget 2015–16 and subsequent Cabinet approval. This study investigates the real, inflation-adjusted performance of Sovereign Gold Bonds (SGBs) in comparison to Gold Exchange-Traded Funds (ETFs), Nifty 50 equities, and Fixed Deposits (FDs) over a 10-year period from 2015 to 2024.
A Comparative Study on Intrinsic Value Versus Market Value of Mid-Cap Stocks Using the Dividend Discount Model on NSE
Anitha B.M. DSilva, Dr. Purushottam Bung
The National Stock Exchange (NSE) is India’s leading stock exchange, covering different geographic locations across the country. Midcap is a rough term that includes companies and stocks between large-cap and small-cap stocks. The classification of each company’s shares depends on its market value. This study presents a comparative analysis of intrinsic versus market valuations of selected mid-cap stocks listed on the National Stock Exchange (NSE) of India using the Dividend Discount Model (DDM) and Capital Asset Pricing Model (CAPM).
Toward Sustainable Food Security in India: The Strategic Role of Optimized Cold Chain Infrastructure.
Dr. Vinay K S, Dr. Noor Firdoos Jahan
Optimizing India’s cold chain infrastructure (CCI) is crucial for reducing post-harvest losses, enhancing food security, and minimizing the environmental impact of inefficient supply chains. Strengthening CCI can significantly reduce food waste, improve farmer livelihoods, and ensure the efficient distribution of perishable goods. A well-developed cold chain system preserves the quality and extends the shelf life of agricultural produce, directly supporting food security efforts.
About RV Institute of Management
A unique B-School that carries the flag of the Rashtreeya Vidyalaya (RV) Group of institutions academic excellence, R.V Institute of Management (RVIM) was founded in the year 1999. It is one of 28 plus leading educational institutions of national and international repute that are managed by the Rashtreeya Sikshana Samithi Trust (RSST), which is spearheading the cause of education in various fields since 1940.
RVIM is an autonomous institution of excellence is approved by the All India Council for Technical Education (AICTE) New Delhi, affiliated to Dr. Manmohan Singh Bengaluru City University and Recognized by Govt. of Karnataka. It is located in a state-of-the-art campus in Jayanagar, a beautiful and centrally-located suburb of the city of Bengaluru, India. RVIM offers a two-year full-time Autonomous Master of Business Administration (MBA) program, one-year Post Graduate Diploma in Business Analytics (PGDBA), evening program for working professionals and Ph.D. in Management.
Dr. Purushottam Bung
Prof. & Director, RVIM
Dr. Noor Firdoos Jahan
Professor, RVIM
Prof. Nagasubba Reddy,
Assistant Professor, RVIM