Structured finance transactions in nascent markets have a variety of challenging aspects, but the most fundamental difficulty for deal analytics is finding data and applying it appropriately. Asset-backed transactions in emerging markets often suffer from a scarcity of data, disorderly records when they exist, and occasionally imprecise methodologies to analyze and employ such information. The transactions that have been executed thus far have attempted an array of market standard methodologies to tackle these problems, a number of them successful, however many come up short due to calculation misunderstandings and the inapplicability of conventional analyses to unique emerging market products and cultures. Organizing the data that exists, correctly applying standard techniques, and exploring alternative methodologies are critical to increasing deal flow and accurately assessing risk in the emerging markets.
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