Quantification of the cost anomalies of PJSC «Aeroplane» shares by scenario-dynamic modeling and machine learning methods during the transformation of the mortgage market and high volatility of the key interest rate
This paper is devoted to determining the target value of shares of PJSC Aeroplane for 2026-2027 in conditions of high macroeconomic uncertainty and structural changes in the housing construction market. The relevance of the study is due to the critical situation of the company, which is characterized by a record debt b...