Prediction of financial distress for multinational corporations: Panel estimations across countries

This research predicts ex-ante financial distress and analyses the link between financial distress, performance, employment, `and research and development (R&D) investment in the case of multinational companies (MNCs). The conditional logit and hazard models are employed to predict financial distress, while a conditional mixed process model is employed to obtain consistent and efficient estimates. Financial distress generates contractions in performance, employment, and R&D investment. Hedging against risk mitigates the effect of financial distress on R&D. Our findings vary across countries, for example, we find MNCs in Canada, Israel and the U.S. benefit from hedging against risk. The findings also indicate that ex-ante financial distress is detrimental to employment for Canada, the U.K., the Netherlands and the U.S. The findings indicate the MNCs play different roles across countries in contributing jobs, investment in R&D during the distress period.     

The brighter side of being socially responsible: CSR ratings and financial distress among Chinese state and non-state owned firms

We examine the effect of corporate social responsibility (CSR) quality ratings on the financial distress levels of Chinese enterprises by using the previously unexplored new China-specific Altman ‘Z_China Score’ in the context of CSR and data from 749 firms over the 2009–2014 period. First, we find that CSR quality ratings significantly reduce Chinese firms’ distress levels. Second, we find that the ability of CSR to reduce distress levels in non-state-owned Chinese firms is higher than state-owned ones. Finally, we find similar results when we divide the data into high-low CSR ratings and levels of distress. Our results are robust to potential endogeneities.