Book

Description

This book presents an in-depth research on the development of a risk management framework that encompasses five fundamental variables and two technical variables, both in normal and crisis conditions, using panel data regression analysis. The research involves all companies operating in the construction infrastructure sector listed on the Indonesia Stock Exchange. The method employed in this research is a mixed method, where quantitative approaches are used to measure and statistically analyze data through panel data regression in both normal and crisis situations. This includes descriptive data analysis, difference testing, Chow test, Hausman test, normality test, heteroscedasticity test, multicollinearity test, F-test, t-test, and determination coefficient. Meanwhile, the risk management framework is developed qualitatively through surveys, interviews, literature analysis, and other qualitative methods. The variables used in this research are those commonly applied and observed by investors and companies in their analyses (return on assets, return on equity, net profit margin, debt to equity ratio, operating profit margin, trading volume, and individual stock price index). With strong empirical data support and in-depth analysis, this book becomes an invaluable source of information for companies operating in the construction infrastructure sector, policymakers, investors, and the general public interested in analyzing companies in that sector. This research provides a clear insight into risk management steps in both normal and crisis conditions, serving as a guide for the future. By focusing on fundamental and technical variables, this research contributes to a better understanding of risk management in the construction infrastructure industry. As a result, this book becomes a critical reference for those seeking to optimize their investment decisions and develop more effective risk management strategies in diverse situations.