This paper provides a thorough review of the liquidity measures that are used in the
empirical literature to measure liquidity. A wide range of papers have emphasized its role …

This study opens the black boxes and fills the literature gap by showing how it is possible to
fit a very precise Machine Learning model that is highly interpretable, by using a novel ML …

This study investigates the impacts of intellectual capital on the liquidity of assets and stocks
and the bankruptcy likelihood. Multivariate regression models with combined data used to …

Default prediction identifies the probability of a firm to default by establishing a prediction
model. It reveals the functional relation between the features' data at time tm and default …

The accuracy of economic decisions depends on the quality of financial information, mainly
derived from financial statements prepared by business entities and other units. Thus, there …

While stock liquidity has long been a vital consideration in stock markets, environmental,
social and governance (ESG) performance has become a growing consideration due to its …

Financial distress forecasting models allow to assess the future ability of companies to meet
their obligations and to assess the credit risk of companies. Given the limitations of the …

This study aims to examine the effect of intellectual capital (IC) on liquidity and the possibility
of bankruptcy in Indonesian companies. The population of this study are companies listed …

To fill the equity gap, several international bodies suggest developing stepping-stone
markets. These stock markets aim to nurture the most profitable emerging firms until they get …

Zombie companies have a negative connotation, since they affect the markets where they
operate. In order to have a better understanding, an internal approach is used to study their …