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MF Analytics is headquartered on the campus of the Massachusetts Institute of Technology (MIT) in Cambridge, MA, a global center of innovation and knowledge. The company was founded to introduce innovative financial products to governments, development institutions and financial institutions through sophisticated data mining techniques and advanced structuring.
MF Analytics focuses on the following asset classes:
- Microcredit: Securitizing microcredit loans can often be the most efficient liquidity option for microcredit financial institutions (MFIs). By extending the durations through a conduit structure, MFIs can access sources of liquidity previously unavailable and often at lower costs of capital.
- Financial Institutions securities: MF Analytics has experience with a number of assets a bank may have on its balance sheets. Small and medium enterprise loans are particularly conducive to a securitization structure. Car loans, credit card loans and consumer loans are also very viable asset types.
- Infrastructure bonds: These broadly fall into two categories: 1) underwriting government debt for the purposes of major infrastructure projects (damns, roads, etc.) in local or euro/dollar currencies 2) local infrastructure projects, such as securitization of water receivables to finance water treamtment facility, or securitization of toll road receivables for road infrastructure development.
- Government revenue securitization: This would include securitizing tax revenues, and the stream of royalty interest from mineral and oil interests.
Whenever possible, MFA will also invest alongside the buyers of our structured securities. Often this means purchasing a piece of the first-loss portion of the securitization, but can also include purchases further up the capital curve. Not only does aligning compensation with end results ensure quality of structure, it effectively eliminates any chance of divergent interests between the structurer and the investors, as can often happen with securitizations.
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