• Sushant Sharma
• Pavan Kumar P
• Abhisek Das
• Vineet Yadav
• Kalaiarasan S

This research looks at the risk-return profiles over the last five years (2018–2023) for three significant Indian stock market indices: Nifty 50, Nifty Financial Services, and Nifty Bank. Key metrics will be computed using daily return data. The core tendency for gains in each index will be shown by the average return. The standard deviation will emphasize volatility by quantifying daily return changes. We'll use Value at Risk (VaR) to evaluate any possible downside risk. It calculates the maximum loss over a specified period within a particular confidence level. For investors to comprehend worst-case scenarios, this is an essential tool. In addition, the Treynor and Sharpe ratios will be used to compute the risk-adjusted returns. The study attempts to determine differences in risk-reward features among the indexes by examining these parameters. The outcomes will demonstrate which index provides the most appealing ratio of possible gains to possible losses. Investors with different levels of risk tolerance will find this information useful. In the end, this study aims to offer insightful information to investors so they may make knowledgeable choices about portfolio allocation and diversification in the Indian stock market. Comprehending the risk-return characteristics of these notable indices can enable investors to build portfolios that are in line with their investment objectives and risk tolerance.

"Unveiling Risk-Return Dynamic: A Five-Year Daily Comparison of Nifty50, Nifty Financial Services and Nifty Bank", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f358-f375, April-2024, Available :http://www.jetir.org/papers/JETIR2404540.pdf

"Unveiling Risk-Return Dynamic: A Five-Year Daily Comparison of Nifty50, Nifty Financial Services and Nifty Bank", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf358-f375, April-2024, Available at : http://www.jetir.org/papers/JETIR2404540.pdf