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Dr. Chetan G. K.

Associate Professor – Finance, Chairperson – Student Affairs, Vice President – Institution’s Innovation Council

Profile

Dr. Chetan G K is an accomplished academic and finance professional, currently serving as an Associate Professor of Finance at the Management Development Institute (MDI), Murshidabad. With a distinguished career spanning academia and the financial services industry, Dr. Chetan brings a unique blend of practical expertise and academic rigor to his teaching and research.

He holds a Doctorate in Finance from Jain University, Bengaluru and an MBA in Finance from Karnatak University, Dharwad. Prior to joining MDI, he served for six years as Associate Professor of Finance at the Kirloskar Institute of Advanced Management Studies (KIAMS), Harihar, and contributed to KIAMS Pune through its faculty exchange program. Dr. Chetan has also been a Visiting Professor of Finance at IIM Rohtak, where he taught in the PGPx program.

Before transitioning to academia, Dr. Chetan worked as a Dealer for Equities and F&O at Kotak Securities Ltd., gaining hands-on experience in the capital markets that enriches his classroom teaching with real-world insights. A passionate educator, Dr. Chetan has designed and delivered a wide array of finance courses, including Corporate Finance, Investments, Valuation, Financial Modelling, Trading Strategies, and Equity Research. His teaching philosophy emphasizes bridging theory and practice, equipping students with both conceptual clarity and applied skills.

His research interests lie at the intersection of Corporate Finance, Equity Valuation, and Futures & Options, and he has authored business cases that are part of the Harvard Business Publishing case repository. Dr. Chetan has also earned certifications from the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE), Mumbai, further deepening his technical competencies.

Beyond academia, Dr. Chetan is actively engaged in executive education. He has designed and delivered customized finance programs for leading organizations such as IOCL, LIC, GAIL, TVS-Electronics, IiPM Gurgaon, RINL Vizag, WBPDCL, Triveni Engineering, Texmo Infra, among others, helping business leaders enhance their financial acumen.

With his rich blend of academic credentials, industry experience, and commitment to impactful teaching, Dr. Chetan continues to contribute to the field of finance education, research, and executive development.

Corporate Finance, Investment Analysis and Portfolio Management, Corporate Valuation, Financial Modeling, Equity Research, and Financial Services.

Trading Strategies:

The course is designed to provide students practical exposure in the field of Technical Analysis of the financial markets. The course is taught by using real-time market data; by accessing the websites such as TradingView.com, ChartInk.com, TrendLyne.com, IntradayScreener.com, RideWinners.com to name a few. Live analysis of stock market data will be done by the instructor while explaining the practical examples of how to analyze the stocks, indices technically. The students will be taught; where to enter the trade, how to fix up stop-loss and targets price on real-time charts. Price action analysis is done using various candlestick patterns, trendlines analysis and volume analysis in the live markets. After that, indicator is added to the chart and based on price action and indicator analysis how to take-up any trade fearlessly will be taught in the live market situation.

The course also gives exposure to the behavioral aspects that may bother the traders while they are in the trades. A group project will be allocated to the students and are expected to work in the groups. Students sit in the sessions as per the pre-determined groups and work together. Faculty will be hand-hold the students during the project and help the students to complete the same successfully.

Financial Modeling:

Financial Modeling is completely MS-Excel based hands on course, where students are taught all the concepts of finance on Excel spreadsheet. Live data of the market will be downloaded from the nseindia.com, investing.com, moneycontrol.com websites for problem solving. Apart from this; students will also make use of databases such as CMIE Prowess and Bloomberg Finance Terminal for downloading the relevant real-time data for solving the class problems as well performing the project.

The following projects are expected to be done by the students of Financial Modeling:

  • Discounted Cash Flow valuation of a listed manufacturing company (should be part of Nifty-200 index). To be done on an Excel spreadsheet and submitted by the respective groups within the set deadline.
  • Black Litterman’s Portfolio Optimization (BL Model). Students will work in the group and create a portfolio based on the BL Model.

No cases are used in the course as whole of the course is driven by real-time data handling by the students from the above stated databases. Students will be able to address any practical finance problem that may arise in the real life situation when they will be start working in the corporate companies. Students learn the following: deployment of macros, one & two dimensional data-tables, matrix handling capabilities etc.

Corporate Finance-II:

Corporate Finance-II is the continuation of Corporate Finance-I. The course being continuation of Corporate Finance – I, deals with rest of the first principles of corporate finance such as Financing, Dividend and Working Capital decisions. The course also throws light on Financial Markets, equipping students with an ability to understand the primary market and secondary market thoroughly. The whole of the course will be run through various cases of Harvard and Ivey Publishing. Students are assigned with a group and they are asked to present the cases in the classes. The cases presented by the students are thoroughly analysed, crossed verified by the course faculty along with their fellow classmates as well.

Students will be given Bloomberg Terminal Interface assignment. Students are exposed to how to get the data through this assignment.

  • Title of the Case: Hedging the Interest Rate Risk: The Exim Bank’s Way
    Citation: Srikanth, M., Chetan, G. K., & Perumandla, S. (2026). Hedging the interest rate risk: The Exim Bank’s way (Case No. W48456; Teaching Note No. W48457). Ivey Publishing. https://www.iveypublishing.ca/s/product/hedging-the-interest-rate-risk-the-exim-banks-way/01tOF00000CFRQnYAP
  • Biswas, A. D. A., & Chetan, G. K. (2025). Asset quality, CSR, and profitability nexus in Indian banks: The moderating impact of CSR. IIMB Management Review. Advance online publication.
    https://doi.org/10.1016/j.iimb.2025.1006
  • Chetan, G. K. (2025). Astral Limited: Crafting trading strategies through technical analysis (Case No. W41301; Teaching Note No. W41302). Ivey Publishing.
    https://hbsp.harvard.edu/product/W41301-PDF-ENG https://hbsp.harvard.edu/product/W41301-PDF-ENG
  • Paul, S., & Chetan, G. K. (2025). Axis Mutual Fund: A case of front-running. IIMC-CRC.
    https://www.iimcal.ac.in/case-studies-li
  • Chetan, G. K. (2024). Berger Paints India Limited: Discovering the optimal capital structure (Case No. W38431; Teaching Note No. W38432). Ivey Publishing.
    https://www.iveypublishing.ca/s/product/berger-paints-india-limited-discovering-the-optimal-capital-structure/01tOF0000063Gb3YAE
  • Chetan, G. K. (2023). Sharpe’s single index model (Case No. W34642; Teaching Note No. W34643). Ivey Publishing.
    https://www.iveypublishing.ca/s/product/sharpes-single-index-model/01tOF000001e3ugYAA
  • Chetan, G. K., & Nagaraj, B. V. (2019). Heera Ceramics Private Ltd: Estimating hurdle rate (Case No. 119-0005-1; Teaching Note No. 119-0005-8). The Case Centre.
  • Chetan, G. K., & Ajoy Kumar, M. (2024). Stock market integration: Analysis of long- and short-run dynamics between Indian market and global markets. Empirical Economics Letters, 23(9), 1681–8997.
    https://doi.org/10.5281/zenodo.13951346
  • Banerjee, S., & Chetan, G. K. (2024). Role of microfinance in empowering women: Insights from a household survey in West Bengal. Empirical Economics Letters, 23(Special Issue), 1681–8997
    https://doi.org/10.5281/zenodo.13647007
  • Chetan, G. K. (2023). Stock price prediction using neural network: A bibliometric analysis. Empirical Economics Letters, 22(12), 1681–8997.
    https://digitalcommons.unl.edu/libphilprac/4219/
  • Chetan, G. K., & Nagaraj, B. V. (2018). Price discovery and volatility spillover among selected commodity spices. Wealth – International Journal of Money, Banking and Finance, 7(1), 2277–9388.
  • Chakraborty, S., & Chetan, G. K. (2018). A study of quarterly earnings announcement and stock price reactions: With reference to Nifty Midcap 150. Journal of Commerce & Accounting Research, 7(4), 2277–2146.
  • Chetan, G. K., & Garag, A. G. (2016). Modeling and forecasting stock market volatility of the S&P CNX Nifty-50 Index using GARCH family models. GE International Journal of Management Research, 4(6), 154–166.
  • Chetan, G. K., & Garag, A. G. (2015). Equity market linkages among India and selected ASEAN countries: An empirical analysis. Intercontinental Journal of Banking, Insurance and Finance, 2(6), 25–37.
  • Swar, B. N., Chetan, G. K., & Singhal, N. (2021). Contemporary issues and challenges in business post-COVID-19. In Global healthcare management and business issues (pp. 223–234). Taylor & Francis Group.
    https://doi.org/9781032214443
  • JSW Cements, Nandyal, Andhra Pradesh. Undertaken a project on Employee Satisfaction Survey. As per the requirement of the project, interviewed the various personnel of the company from different levels as part of survey process.
  • Kirloksar Group’s Fast-Tracker Assignment: Worked as an assessor to evaluate the various personnel’s performance from Kirloskar Group Companies to identify the fast tracker.