this, current modelling underestimates the future risks of SLR to property. Direct risks posed to property include … inundation, loss of physical property and associated economic and social costs. It is also crucial to consider the risks that … financial implications for local government will be loss of rates associated with total property loss and declines in value. The …

This study aims to check market reaction to filing for bankruptcy and restructuring proceedings and to verify the short … companies according to the procedure (bankruptcy and restructuring) and market (the main market and the NewConnect market). The … share market react quickly to public information about filing an application for bankruptcy or restructuring. For all …

-entity financial aid are critical to consider when assessing bankruptcy risk. A cooperative SC member cannot just be financed from debt …, the SC members may cooperate, reducing their bankruptcy risk considerably; thus, the chance for and extent of inter … our results, bankruptcy risk is SC-specific, rather than a characteristic of an individual firm. Therefore, to finance an …

risk, probability of bankruptcy, and level of solvency. To achieve these results, 416 companies were analysed based on …-score model to predict bankruptcy, and, finally, logistic regression analysis to answer the hypotheses. The results show that the …

significant number of debtors with overdue debts permanently escape from debt collectors. Accordingly, in our sample, overdue … and society. We recommend paying more attention to smoothing credit cycles and resolving non-performing debt obligations. …

threshold regression model (DPTR). The findings show that there is a nonlinear relationship between debt and firm performance …-sized regimes. In the lower regime, the firm's value (Q) increases when debt increases; however, in the higher regime, this value … decreases when debt increases. Furthermore, in the lower regime, the performances (ROA and ROE) of small firms decrease when …

This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an … imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical … models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of …