Visualising the Optimistic, Realistic, and Pessimistic Financial Distress Outlooks for Airport Operations in Malaysia

This paper aims to visualise three financial distress outlooks using computer simulations. The exposure for airport operations in Malaysia between 1991 and 2021 is given by Altman Z”-score modelled the multivariate generalized linear model (MGLM). Seven determinants contributing from literature are examined. determinant series fitted individually with time components autoregressive integrated moving average models forecast values next 10 years. Future short- long-term memory effects following COVID-19 apparent plots. In simulations, MGLM procedure utilised Gaussian, gamma, Cauchy probability distributions associated expectations challenges of doing business as well uncertainties economy. underlying trends realistic, optimistic, pessimistic insinuate that increasing risk expected continue decade.