The Role of Financial Analytics in Optimizing Portfolio Management

Authors

  • Lianwen Zhang School of Economics and Management, Guangxi University of Technology
  • Meiling Huang Department of Finance and Accounting, Yulin Normal University

Keywords:

Financial Analytics, Portfolio Management, Predictive Analytics, Risk Assessment, Asset Allocation, Quantitative Models, Diversification, Market Volatility, Data-Driven Insights, Investment Strategy

Abstract

Financial analytics plays a critical role in optimizing portfolio management by providing data-driven insights that enhance decision-making, risk assessment, and investment strategy formulation. Through advanced techniques such as predictive analytics, machine learning, and quantitative models, investors can identify trends, assess portfolio performance, and optimize asset allocation. This paper explores the impact of financial analytics on portfolio management, focusing on how it enables more accurate risk-adjusted returns, improves diversification, and enhances overall portfolio performance. By integrating real-time data and sophisticated analytical tools, financial analytics helps investors manage market volatility, make informed decisions, and achieve long-term financial goals. Despite its advantages, challenges such as data quality, model complexity, and over-reliance on analytics remain key considerations.

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Published

2024-09-01

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