This paper studies the relation between macroeconomic fluctuations and corporate defaults while conditioning on industry affiliation and an extensive set of firm-specific factors. Using a logit approach on a panel data set for all incorporated Swedish businesses over 1990-2002, we find strong...

The primary purpose of this paper is to investigate whether companies can use acquisition as a strategy to reduce their probability of takeover. A subsidiary issue is whether such a strategy has any impact on their subsequent probability of bankruptcy. The determinants of making an acquisition,...

Using a local adaptive Forward Intensities Approach (FIA) we investigate multiperiod corporate defaults and other delisting schemes. The proposed approach is fully datadriven and is based on local adaptive estimation and the selection of optimal estimation windows. Time-dependent model...

We demonstrate improvements in predictive power when introducing spline functions to take account of highly non-linear relationships between firm failure and earnings, leverage, and liquidity in a logistic bankruptcy model. Our results show that modeling excessive non-linearities yields...

This paper studies the effects of systematic distress and sectoral distress in the context of default/bankruptcy prediction using a large sample of U.S. public company default data from 1991 to 2009. I construct measures to proxy for economy-wide systematic distress and sectoral distress based...

We demonstrate improvements in predictive power when introducing spline functions to take account of highly non-linear relationships between firm failure and earnings, leverage, and liquidity in a logistic bankruptcy model. Our results show that modeling excessive non-linearities yields...

Short-term financing, e.g., asset-backed commercial paper (ABCP) or repurchase agreements (repo), was prevalent prior to the 2007-2008 financial crises. Banks funded by short-term debts, however, are exposed to rollover risk as the banks are unable to raise sufficient funds to finance their...

A forward intensity model for the prediction of corporate defaults over different future periods is proposed. Maximum pseudo-likelihood analysis is then conducted on a large sample of the US industrial and financial firms spanning the period 1991-2011 on a monthly basis. Several commonly used...

In this paper I investigate the relation between accounting based variables and bankruptcy risk, using information available for non-listed firms. I use a large sample of firms and find that many of the variables suggested earlier in the literature seem to provide little explanatory power....

The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy....