This week’s featured new resource:
Flat vs Declining Balance Interest Rates: What is the Difference?

I just returned from a two-week field trip to Argentina to meet up with local financial institutions and provide technical assistance in the data collection process. During this trip I gained some new insights on the importance of contextualizing microloan prices.
by Jordan Filko
A new version of MFTransparency’s “Calculating Transparent Prices Tool” is now available. MFTransparency’s most popular resource, this Excel-based tool allows users to input loan terms to analyze the cost of a particular loan product, learn how various factors influence the cost of a loan and view borrower cash flow through graphs and repayment schedules.
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Le financement est généralement le talon d’Achille des IMFs particulièrement en Afrique de l’ouest, c’est un des éléments les plus déterminants du fonctionnement de l’IMF.
Tenant compte de la simple formule du taux d’intérêt
ou I représente le taux d’intérêt, FG les frais de gestion, CI les créances irrécouvrables, CR le coût de ressources, K le taux de capitalisation, PP le produit de placement (Etude Spéciale CGAP, 1997).
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by Tim Langeman
When we receive loan data from microfinance institutions that wish to become transparent, they enter the information about their loans into our Data Collection Tool. In addition, we always ask for real repayment schedules for active loans given to real borrowers. We use these repayment schedules to verify the information the MFI has entered into our Data Collection Tool, but they also serve another purpose.
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by Jordan Filko
Microfinance Africa recently published a blog post on The Need for Financial Literacy in Microfinance and its Impact. This post outlines five different arguments for the importance of financial literacy campaigns. Among these, MFTransparency is highlighted for the case we have made for the importance of pricing transparency.
Recently David Roodman posted an interesting discussion on his blog. You can read what he wrote here: “Quick: What’s the Grameen Bank’s Interest Rate?”
There are some very interesting points in his posting, to which I wrote the following reply. You’ll find it best to read his posting first, but even without that context, the following points are relevant. (more…)
The most recent addition to our new Resources library is Session 1 of our independent study course on transparent pricing. This series of training sessions will provide you with the tools you need to demystify transparent pricing. Featuring practical examples, screenshots from the Calculating Transparent Prices Tool and practice exercises, this educational resource provides you with classroom-quality lessons for a solid foundation in the concepts of transparent pricing.
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Just how difficult is it to calculate the true cost of a loan? For many clients of MFIs, it is nearly impossible. Despite the public image of microfinance lenders as being altruistic and philanthropic, some are as predatory as the moneylenders they are supposed replace as a better alternative for their clients. With clients with a low level of financial literacy and a market lacking standardized pricing, many MFIs, including winners of responsible business awards, issue loans with actual costs orders of magnitude higher than advertised costs.
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Often when we talk about reporting the “true cost” of loans we are asked why it isn’t enough to simply tell borrowers the “total cost” of their loan—in other words, the total amount of interest they will pay over the life of the loan. At first glance this can seem like an obvious solution, but in reality it’s a deceptive way of thinking about loan price.
To see why, consider the following loans, all for the same amount:
by Tim Langeman
In a previous blog post, I described how to use a spreadsheet like Microsoft Excel to calculate interest rates. Again, interest rate calculations are at the core of MFTransparency‘s ability to provide accurate data that can be compared across various products offered by numerous MFIs. In the last post we looked at Excel’s IRR and XIRR functions and concluded that XIRR is more accurate because it takes into account the actual payment dates of the loan and thus allows us to calculate annualized interest rates even with irregular repayment schedules.
But for the more technical among us, I realize that even this may not be sufficient. Today I’m going to demonstrate how to write a computer program that is as accurate as Excel 2007′s XIRR function. This article is likely to be of less broad interest, but it provides transparency into how we will calculate interest rates for future data collection trips; and it may be useful for MFIs that wish to automate interest rate calculations for a larger data set than can be handled with Excel.
by Tim Langeman
Chuck Waterfield and Alexandra Fiorillo, MFTransparency‘s CEO and VP respectively, have been doing many presentations about how interest rates can be calculated using our excel tool, but we haven’t yet featured a story on our blog about our data collection process and our corresponding excel tool. Although technical, interest rate calculations are really at the heart of MFTransparency‘s mission and calculating accurate interest rates is vital to providing transparent pricing data. So today, I would like to give you a brief demonstration of the IRR and XIRR Excel functions, as a way to provide background for the techniques we’ve used to automate interest rate calculations on our web site.
For those of you less familiar with excel, this spreadsheet software offers numerous formulas allowing quick and easy calculations within each spreadsheet. As it is particularly geared towards financial use, there are ready made formulas specifically meant for calculating interest rates. The most basic (but still powerful) calculation is the internal rate of return. (more…)