Financial Time Series Analysis

Financial Time Series Analysis involves examining data points representing financial variables, such as stock prices or interest rates, recorded over time. The goal is to identify patterns, trends, and relationships to better understand past behavior and make informed predictions about future movements. This analysis uses statistical and mathematical tools to handle the complexities of financial data, like volatility and seasonality. It helps investors, analysts, and policymakers make data-driven decisions, manage risks, and develop strategies by providing insights into how financial metrics change over different periods.