| ABSTRACT |
This paper explores the dynamics of financial market volatility and its implications for risk management strategies. It begins by examining the historical context of market volatility, focusing on key events that have shaped current financial landscapes. The research delves into various factors contributing to market fluctuations, such as economic indicators, geopolitical tensions, and technological advancements. It then shifts to an analysis of different risk management strategies employed by financial institutions, investors, and regulatory bodies. These strategies include diversification, hedging, asset allocation, and the use of advanced analytical tools. The study employs a quantitative approach, analysing data from major financial markets. It aims to identify patterns in volatility and assess the effectiveness of various risk management techniques. This paper contributes to the existing body of knowledge by providing insights into the evolving nature of market volatility and offering practical guidance on risk management practices. Its findings are intended to aid financial practitioners in making informed decisions and developing robust strategies to navigate the complexities of the global financial environment. |
| AUTHOR |
R Saraswathi, Dr. Md Irfan
Assistant Professor, Dept. of MBA, CMRTC, Hyderabad, India
Associate Professor, Dept. of MBA, CMRTC, Hyderabad, India
|
| References |
1. Bantwa, A. (2017). A study on India volatility index (VIX) and its performance as a risk management tool in the Indian stock market. International Journal of Financial Management, 7(2)45–56. https://www.researchgate.net/publication/318874671
2. Brownlees, C., & Gallo, G. M. (2006). Financial econometric analysis at ultra-high frequency: Data handling concerns. Computational Statistics & Data Analysis, 51(4), 2232–2245.
https://doi.org/10.1016/j.csda.2006.09.028
3. Goldwhite, A. (2009). Financial market shocks and investor behaviour during crises. Journal of RiskManagement,11(3)215–230. https://www.researchgate.net/publication/228149702
4. Wen, X., Wei, Y., & Huang, D. (2021). Measuring contagion effects between commodity and stock marketsduringCOVID-19. FinanceResearchLetters,38,101–119. https://doi.org/10.1016/j.frl.2020.101747
5. Pafka, S., & Kondor, I. (2001). Evaluating the RiskMetrics methodology in measuring volatility and Value-at-Risk. Physica A: Statistical Mechanics and its Applications, 299(1–2), 305–310.
https://doi.org/10.1016/S0378-4371(01)00313-1
6. Chandra, A., & Thenmozhi, M. (2015). India VIX and stock market returns: Evidence from India. Journa lof Emerging MarketFinance,14(1),1–22 .https://doi.org/10.1177/0972652714551514
7. Carey, M., Prowse, S., Rea, J., & Udell, G. (2006). The economics of risk management and financial institutions. Journal of Banking & Finance, 30(12), 3171–3203.
https://doi.org/10.1016/j.jbankfin.2006.05.013
8. Grouard, J., Lévy, G., & Benoît, B. (2003). Stock market volatility: From empirical observations to regulatory concerns. Banque de France Financial Stability Review, 2, 45–61.
https://www.banque-france.fr/en
9. Hammoudeh, S., Yuan, Y., McAleer, M., & Thompson, M. A. (2011). Precious metals–exchange rate volatility transmissions and hedging strategies. International Review of Economics & Finance, 20(4),633–647.
https://doi.org/10.1016/j.iref.2011.01.007
10. Mittnik, S., Robinzonov, N., & Spindler, M. (2015). Stock market volatility, macroeconomic fundamentals and financial regulation. Journal of Financial Econometrics, 13(1), 113–155.
https://doi.org/10.1093/jjfinec/nbu006 |
