The field of financial analytics has become increasingly complex with advancements in technology and the global interconnectedness of financial markets. Risk management is a crucial aspect of financial analytics, as it ensures the stability and profitability of investment portfolios. This paper explores various risk management strategies employed in financial analytics and assesses their effectiveness. The study begins by providing an overview of the fundamental principles of risk management, highlighting the importance of understanding risk exposure and the role of financial analytics in identifying and mitigating risks. Subsequently, the paper delves into specific strategies such as diversification, hedging, value at risk (VAR) analysis, and stress testing. Each strategy is discussed in detail, emphasizing the benefits, limitations, and practical applications. Furthermore, the paper examines the challenges faced by financial analysts in implementing these strategies, including data quality issues, model risk, and regulatory compliance. Finally, the paper concludes with recommendations for improving risk management practices in financial analytics, emphasizing the need for continuous monitoring, adaptation, and innovation.
Taylor, S. (2023). Risk Management Strategies in Financial Analytics. Management Analytics and Decision, 5(1), 37. doi:10.69610/j.mad.20230212
ACS Style
Taylor, S. Risk Management Strategies in Financial Analytics. Management Analytics and Decision, 2023, 5, 37. doi:10.69610/j.mad.20230212
AMA Style
Taylor S. Risk Management Strategies in Financial Analytics. Management Analytics and Decision; 2023, 5(1):37. doi:10.69610/j.mad.20230212
Chicago/Turabian Style
Taylor, Sophia 2023. "Risk Management Strategies in Financial Analytics" Management Analytics and Decision 5, no.1:37. doi:10.69610/j.mad.20230212
Share and Cite
ACS Style
Taylor, S. Risk Management Strategies in Financial Analytics. Management Analytics and Decision, 2023, 5, 37. doi:10.69610/j.mad.20230212
AMA Style
Taylor S. Risk Management Strategies in Financial Analytics. Management Analytics and Decision; 2023, 5(1):37. doi:10.69610/j.mad.20230212
Chicago/Turabian Style
Taylor, Sophia 2023. "Risk Management Strategies in Financial Analytics" Management Analytics and Decision 5, no.1:37. doi:10.69610/j.mad.20230212
APA style
Taylor, S. (2023). Risk Management Strategies in Financial Analytics. Management Analytics and Decision, 5(1), 37. doi:10.69610/j.mad.20230212
Article Metrics
Article Access Statistics
References
Markowitz, H. M. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Financial Economics, 1(1), 115-126.
Lintner, J. (1965). Security prices, risk, and the rate of return. The Journal of Finance, 20(1), 13-37.
Mossin, J. (1966). Optimal investment and consumption decisions under uncertain income. The Journal of Political Economy, 74(4), 553-564.
Goyal, A., & Santa-Clara, P. (2003). International diversification and the emergence of global capital markets. Journal of Financial Economics, 69(2), 309-341.
Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. The Journal of Finance, 47(2), 427-465.
Kryzanowski, L. (1996). International equity market integration, risk sharing and comovements in emerging markets. Journal of International Money and Finance, 15(2), 257-279.
Lo, A. W. (1997). Long-term memory in stock market prices. Econometrica, 65(5), 909-939.
Schwert, G. W. (2003). Do stock prices move too much to be justified by subsequent changes in dividends? The American Economic Review, 93(2), 333-338.
Hull, J. C. (1993). Options, futures, and other derivatives. Prentice Hall.
Joshi, P. M., & Karasulu, M. Z. (2001). Managing risk in financial markets. John Wiley & Sons.
Cremers, M. J., & Petajisto, J. (2009). Do hedge funds outperform active mutual funds? A cross-sectional analysis of funds and managers. The Journal of Finance, 64(4), 1643-1684.
Jorion, P. (1997). Value at Risk: The New Benchmark for Risk Management. John Wiley & Sons.
Oldfield, G. A. (2000). Value at Risk: A Guide to Credit Risk Modeling. John Wiley & Sons.
Yang, J., Zhong, H., & Cheng, S. (2007). The accuracy of value at risk models. International Journal of Business and Management, 2(1), 14-24.
Engle, R. F., & Ng, V. K. (1993). Measuring and testing the impact of unit roots and cointegration on forecast errors. Journal of Econometrics, 56(3), 387-411.
Daniel, K. D., Grinblatt, M., & Titman, S. (2001). Do arbitrage Pricing Models explain the cross-section of stock returns? The Journal of Finance, 56(1), 73-110.
Bhatia, M., & Puri, M. (2003). Stress testing banks: An overview. BIS Papers, (16), 1-22.
Jorion, P. (2007). Value at Risk: The New Benchmark for Risk Management. John Wiley & Sons.
Pflug, G. (2009). Stress testing. In D. Vayanos, & P. Fouque (Eds.), Credit Risk Modeling: Theory and Applications (pp. 37-60). John Wiley & Sons.
Kupiec, P. H. (1995). Techniques for verifying the accuracy of risk management models. The Journal of Derivatives, 3(1), 73-84.
Christensen, B. J., &, T. (2001). A comparison of alternative credit risk models. Journal of Banking & Finance, 25(7), 1221-1238.
Johnson, R. A., Skilling, J. E., & Laux, M. L. (2006). Bounded rationality and the institutionalization of financial regulation. Journal of Financial Intermediation, 15(3), 353-382.
Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. MIT press.