Let {X_{t}} be a discrete multivariate Gaussian autoregressive process of order 1. The paper derives the exact finite-sample joint moment generating function (mgf) of the three quadratic forms constituting the sufficient statistic of the process. The formula is then specialized to some cases of...

We derive the relation between the biases of correlograms and of estimates of auto-regressive AR(k) representations of stationary series, and we illustrate it with a simple AR example. The new relation allows for k to vary with the sample size, which is a representation that can be used for most...

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 relationship between macroeconomic fluctuations and corporate defaults while conditioning on industry affiliation and an extensive set of firm-specific factors. By using a panel data set for virtually all incorporated Swedish businesses over 1990-2009, a period which...

We quantify the importance of trade credit chains for the propagation of corporate bankruptcies. Our results show that trade creditors (suppliers) that issue more trade credit are more exposed to trade debtor (customer) failures, both in terms of the likelihood of experiencing a debtor failure...

We study 52 million trade credit contracts, issued by 51 suppliers over 9 years to about 199,000 unique customers. The data contain information on contract size, due dates, actual time to payment, and firm characteristics. Our empirical analysis contradicts the conventional view that trade...

Using data on exogenous liquidity losses generated by the fraud and failure of a cash-intransit firm, we demonstrate a causal impact on firms' trade credit usage. We find that firms manage liquidity shortfalls by increasing the amount of drawn credit from suppliers and decreasing the amount...

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 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...