This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

We generalize the refinement ordering for well calibrated probability forecasters to the case were the debtors under consideration are not necessarily identical. This ordering is consistent with many well known skill scores used in practice. We also add an illustration using default predictions...

Much of the literature on the economics of mortgage markets has studied the FRM-ARM choice made by individual borrowers. However, to decide if the outcome of such a choice is efficient or approximately so, it is necessary to explore the question of optimal risk-sharing in mortgage contracts. But...

This paper studies loan activity in a context where banks must follow Basel Accord-type rules and acquire financing from households. Loan activity typically decreases when entrepreneurs' investment returns decline, and we study which type of policy could revigorate an economy in a trough. We...

Why do banks remain passive? In a model of bank-firm relationship we study the trade-off a bank faces when having defaulting firms declared bankrupt. First, the bank receives a payoff if a firm is liquidated. Second, it provides information about a firm's type to its competitors. Thereby,...

We study a competitive model in which market incompleteness implies that debt-financed firms may default in some states of nature and default may lead to the sale of the firms' assets at fire sale prices when markets are illiquid. This incompleteness is the only friction in the model and the...

This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate direct forecasts when estimation error is a...

This paper considers forecast averaging when the same model is used but estimation is carried out over different estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or more structural breaks. It is shown that compared to...

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The model generates the hallmark features of two-sided markets: potentially below cost or even negative prices to one side of the market, and the “see-saw” or “waterbed” effect...

Globalization has led to huge increases in import volumes, but the literature on import forecasting is still in its infancy. We introduce the first leading indicator especially constructed for total import growth, the so-called Import Climate. It builds on the idea that the import demand of the...