Researchers of the HSE Graduate School of Business have presented a new The research method of forecasting bankruptcies in businesses using machine learning. The method makes it possible to fully utilize information on a company’s financial state and to make more accurate predictions than traditional statistical approaches. in the journal Expert Systems with Applications.
The ability to accurately assess The research
The financial risks of dealing with a business is finland whatsapp number data 5 million vital to both the economy and society. This is particularly true when forecasting bankruptcy? which can result in significant financial losses and hurt the national economy.
The causes of business bankruptcy have long been of interest to research economists. Their work includes empirical and theoretical studies into the processes that lead to business failure in order to identify problems at an early stage. Data on companies’ economic performance indicators is also used to develop new forecasting methods.
Currently? bankruptcy forecasting is particularly prominent in the business world. In research published in the journal Expert Systems with Applications? HSE Graduate School of Business Professor Yuri Zelenkov and student Nikita Volodarskiy have student graduation & admission information proposed a new approach that utilizes machine learning.
Predicting a company’s bankruptcy is a type of ‘classification task’? which involves determining whether a given business belongs to one of two categories: those which remain in operation and those which go bankrupt within a certain period of time.
The proposed method was develope
Using a set of historical data on successful and failed with alb directory the companies. The AI is trained using a set of business performance indicators. It then searches for complex patterns in companies’ development and their current state. After being trained on a particular company? the method can be use to predict a business’s future trajectory with some degree of accuracy.
