Abstract: A strategic default score is determined for an entity that characterizes a likelihood of the entity voluntarily electing to default on a loan. Data characterizing credit data and valuation data of an asset owned by the entity is received. Using the received data, the strategic default score is generated which characterizes a likelihood of the entity to voluntarily elect to default on the loan when the entity is capable of paying-off the loan. Provision (e.g., display, transmission, storage, etc.) of the strategic default score is then initiated. Related apparatus, systems, techniques and articles are also described.

Abstract: A strategic default score is determined for an entity that characterizes a likelihood of the entity voluntarily electing to default on a loan. Data characterizing credit data and valuation data of an asset owned by the entity is received. Using the received data, the strategic default score is generated which characterizes a likelihood of the entity to voluntarily elect to default on the loan when the entity is capable of paying-off the loan. Provision (e.g., display, transmission, storage, etc.) of the strategic default score is then initiated. Related apparatus, systems, techniques and articles are also described.

Abstract: A cross-sectional model is provided that determines the relationship between macroeconomic factors and the odds to score relationship of a scoring model. The cross-sectional model takes economic data from various economic regions, as opposed to time periods, as input, and produces, as output, a prediction of the curve-of-best fit that relates a score to a probability (i.e., the probability of the outcome in question such as paying back a loan or filing an insurance claim, etc.). Related systems, methods and articles are also described.