MOCA 2016-1 follows on the heels of S-BOLT 2016-1 with Consumer 'Marketplace' AB

A couple of years ago, I was approached by one of my former students on whether I knew of any Excel shortcuts for aggregating defaults arising from multiple originations cycles. This is how the student framed the problem:

Assume that we have a portfolio of €100m of assets that is originated in period one (cell B3). We wish to apply a cumulative default rate of 10% over the following 4 periods. Let’s assume 12% of the cumulative default rate in first period following origination, 24% in the second period, 36% in the third period and 28% in the final period (a default vector 12%/24%/36%/28%) – or in dollar terms, defaults of €1.2m, €2.4m, €3.6m and €2.8m spread between periods one to four (see row 8 below).

Now further assume that in period two we originate a second tranche of assets, say €80m (cell C4), and we wish to apply the same default vector (12%/24%/36%/28%). In other words, we wish to see defaults of €0.96m, €1.92m, €2.88m and €2.24m spread between periods two to five (see row 9 below) .

And to complicate the situation further, we not only wish to model similar default patterns for further originations cycles in period three (see row 10), but also do the same for periods four through, say, 36 – and to calculate the respective defaults for each tranche accordingly.

Question: is there any way of modelling this behaviour in a single row?

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SBOLT 2016-1 Europe's First Peer-to-Peer SMS ABS

I recently wrote an article for the 'marketplace platform' publication 'Alt Fi News'. It concerned the first European P2P ABS which was rated by Moody's and S&P. In essence one of the institutional investors, KLS Diversified Master Fund, in the Funding Circle platform securitised £130 million of P2P SME loans. Coming on the heels of recent downgrades of similar asset classes in the US, the deal was relatively expensive to place, moreover the Aa3/BBB Class A notes were placed with the benefit of a EIF Guarantee.