Ryerson Model Predicts Water-Sector Company Success
The United Nations estimates that more than half of the world’s population will experience severe shortages of fresh water by 2025. In light of these fresh water forecasts and challenges, several Ryerson University (Canada) researchers worked together to develop a financial evaluation process to identify which water-sector companies are likely to stay afloat and which ones are likely to sink in a worldwide financial crisis.
“The supply and distribution of water is vital everywhere. As a result it’s important to identify in advance which water companies might experience financial trouble so that governments and industry can hopefully help salvage them in time” said Lyubomir Halachev, a recent graduate of the Ted Rogers School of Business Management and winner of the prize for best student paper at the International Congress on Environmental Modeling and Software in Ottawa.
Halachev based his research on the “triple bottom line” premise: companies should focus on people and the planet, as well as profits. The idea implies that changes in a company’s economic viability may also affect social and environmental stability in the region where the company operates.
Halachev analyzed 140 publicly listed companies around the world. His goal was to determine which companies were likely to remain active in the sector and which ones were likely to “die” out (i.e. be delisted from the stock exchange). The study included a broad range of companies in the water industry including, water-treatment, distribution and bottling, as well as those that operate in, or offer services to, the water industry such as information technology, engineering solutions, financing, and piping and irrigation equipment.
The research was conducted in three stages: first, Halachev used stock market databases to identify the companies and collect their stock data over the past 25 years. His co-author Yashodhan Athavale, an electrical and computer engineering graduate student from Ryerson’s Faculty of Engineering, Architecture and Science, expanded upon a set of mathematical approaches initially developed at Ryerson’s Research Lab for Advanced System Modeling, and then wrote a computer program to apply them. When Halachev applied these approaches to the stock market data from the water sector and used them to further classify the companies, the resulting information showed a definite visual and quantifiable distinction between the active companies and those likely to “die.”
Professor Aziz Guergachi, founding director of the advanced system modeling lab at the Ted Rogers School of Information Technology Management, and Halachev’s co-author and supervisor said the results of this research illustrate the importance of conducting interdisciplinary research.
Halachev’s co-authors were graduate student Yashodhan Athavale, Guergachi and co-supervisor Sri Krishnan, a professor of electrical and computer engineering at Ryerson’s Faculty of Engineering, Architecture and Science and a Canada Research Chair in Biomedical Signal Analysis.