Paper Key : IRJ************655
Author: Joyita Ghosh,Abhik Choudhary,Dipankar Roy,Kamaluddin Mandal,Subir Gupta
Date Published: 04 Jul 2024
Abstract
This study analyses monthly trading data of 'Gold Total Value (Lacs)using Functional Data Analysis (FDA) to tackle the challenge of extracting meaningful insights from noisy financial time series data. Due to data variability and noise, traditional methods often fall short, leading to incomplete conclusions. FDA offers a robust framework for smoothing data, identifying patterns, and revealing significant trends. The methodology encompasses data preprocessing, converting data into a functional form, B-spline smoothing, Principal Component Analysis (PCA), and visualisation. This comprehensive approach highlights the FDA's effectiveness in financial data analysis, uncovering hidden patterns, and informing investment strategies. The findings contribute to a deeper understanding of gold trading dynamics and provide a foundation for further research and analysis.
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