Insurance risk scoring based on credit utilization ratio

A computerized method comprising:

• determining a time series for a set of applicant credit utilization data comprising a structured time series that is scaled based on a standard interval range;
• determining a frequency domain power spectrum based on the time series;
• determining rank-ordered values for a spectrum likelihood measure based at least in part on the frequency domain power spectrum the values determined using at least one of a wavelet transform, a discrete cosine transform, a discrete Fourier transform, a periodogram method, a Bartlett method, a Welsh method, or an autoregressive moving average estimate;
• scaling the values of the spectrum likelihood measure to produce a power spectrum weight value for an applicant;
• generating a composite risk score for the applicant by combining the power spectrum weight values with an actuarial model basis characteristic;
• determining a resultant insurance risk category based at least in part on the composite risk score;
• and
• storing the resultant insurance risk category in an operational data store.

A system comprising:

• at least one computer processor;
• computer memory coupled to the at least one processor comprising computer-executable instructions that when executed by the at least one processor perform operations comprising:
• determining a time series for a set of applicant credit utilization data comprising a structured time series that is scaled based on a standard interval range;
• determining a frequency domain power spectrum based on the time series;
• determining values for a spectrum likelihood measure based at least in part on the frequency domain power spectrum, the values determined using at least one of a wavelet transform, a discrete cosine transform, a discrete Fourier transform, a periodogram method, a Bartlett method, a Welsh method, or an autoregressive moving average estimate;
• scaling the values of the spectrum likelihood measure to produce a power spectrum weight value for an applicant;
• generating a composite risk score for the applicant by combining the power spectrum weight values with an actuarial model basis characteristic;
• determining a resultant insurance risk category based at least in part on the composite risk score;
• and
• providing an incentive to the applicant based at least in part on the resultant insurance risk category.