Does Profit Paradigm Shift? A Comparative Analysis of the Impact of Divestment on Financial Performance Using Non-Parametric and Artificial Neural Network Model

The study investigates the impact of social divestment on foreign brands profitability as an aftermath of the ongoing Israel-Gaza conflict. A comparative analysis of profitability metrics for foreign brands before and after divestment initiatives, leveraging traditional financial ratios alongside advanced artificial neural network (ANN) models is used to assess the repercussions. The study utilizes data from Bloomberg, focusing on stocks listed in maj or indices (Dow Jones, FTSE 100, ASX 200, and E500) and analyses financial performance through financial and market measures proxies viz. Return on Assets (ROA), Price-Earnings Ratio (PE), and Tobin's Q. Findings from both the analytical techniques reveal a significant positive impact on financial performance, with profitability metrics showing notable positive changes post-divestment. The combination of statistical evidence with the ANN analysis confirms the authenticity of results, indicating that divestments need not lead to irreparable losses, as corporates find competitive strategies to enhance brand reputation and market performance.

Authors

Institutions

Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/ismsit63511.2024.10757285
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does Profit Paradigm Shift? A Comparative Analysis of the Impact of Divestment on Financial Performance Using Non-Parametric and Artificial Neural Network Model

Rekha Pillai, Manar Alkhatib
Stock Market Forecasting Methods
article

Does Profit Paradigm Shift? A Comparative Analysis of the Impact of Divestment on Financial Performance Using Non-Parametric and Artificial Neural Network Model

Rekha Pillai, Manar Alkhatib
article en

Abstract

The study investigates the impact of social divestment on foreign brands profitability as an aftermath of the ongoing Israel-Gaza conflict. A comparative analysis of profitability metrics for foreign brands before and after divestment initiatives, leveraging traditional financial ratios alongside advanced artificial neural network (ANN) models is used to assess the repercussions. The study utilizes data from Bloomberg, focusing on stocks listed in maj or indices (Dow Jones, FTSE 100, ASX 200, and E500) and analyses financial performance through financial and market measures proxies viz. Return on Assets (ROA), Price-Earnings Ratio (PE), and Tobin's Q. Findings from both the analytical techniques reveal a significant positive impact on financial performance, with profitability metrics showing notable positive changes post-divestment. The combination of statistical evidence with the ANN analysis confirms the authenticity of results, indicating that divestments need not lead to irreparable losses, as corporates find competitive strategies to enhance brand reputation and market performance.

British University in Dubai (AE)
Decent work and economic growth
Openalex Percentile: Top 70%
Stock Market Forecasting Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Does Profit Paradigm Shift? A Comparative Analysis of the Impact of Divestment on Financial Performance Using Non-Parametric and Artificial Neural Network Model — Rekha Pillai, Manar Alkhatib · (2024) | TGRS Research Map | TGRS