CORPORATE MORTALITY MODELING: MANUFACTURING SECTOR ANALYSIS

Corporate mortality modeling refers to the process of predicting the likelihood of a company in a specific sector going out of business or experiencing financial distress. In the manufacturing sector, understanding and accurately predicting corporate mortality is highly important due to the complex and volatile nature of the industry. This work focuses on the analysis of corporate mortality in the manufacturing sector. The manufacturing sector plays a vital role in the global economy, employing a significant number of individuals and contributing to GDP. However, it also faces numerous challenges, such as intense competition, technological advancements, changing consumer demands, and economic fluctuations. The objective of this study is to develop a robust corporate mortality model specifically designed for the manufacturing sector. The model will incorporate various financial and non-financial factors that may influence the likelihood of a company going out of business. Financial factors such as profitability, liquidity, leverage, and solvency will be considered, along with non-financial factors such as industry dynamics, management quality, and market conditions. Data will be collected from a sample of manufacturing companies over a specific period of observation. This data will be used to build a predictive model using advanced statistical techniques such as logistic regression, survival analysis, and machine learning algorithms. The model will be validated using historical data and tested for its predictive accuracy. The results of this study will provide valuable insights into the factors that contribute to corporate mortality