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About A Predictive Analysis of The Indian FMCG Sector Using Time Series Decomposition-Based Approach
This document presents a framework for predicting stock price movements in the Indian fast moving consumer goods (FMCG) sector using time series decomposition and forecasting methods. It analyzes the monthly index values of the FMCG sector from 2010 to 2016, decomposing the time series into trend, seasonal, and random components. Six forecasting methods are proposed and their forecast accuracy is evaluated by predicting 2016 values and calculating errors. The best performing methods are identified based on error metrics. The time series decomposition provides insights into the growth patterns and characteristics of the FMCG sector.
Detailed Information
| Author: | ['Ram Kumar'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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