If you want to understand an election, watch the rallies. If you want to understand what it might cost, watch ‘Broad Money’ (M3).
Broad money is the most comprehensive measure of an economy’s total money supply, including highly liquid cash. It typically includes currency in people’s pockets plus repurchase agreements, money market fund shares/units, and debt securities.
In practice, it’s the money ordinary transactions and loans are built on; the liquidity that helps businesses pay suppliers, households pay rent, and governments pay bills.
When broad money grows steadily alongside production, it can support credit and growth. When it surges faster than the economy’s ability to supply goods and services, it can translate into inflation, exchange-rate pressure, and a political economy where the people closest to power are best positioned to benefit first.
Uganda’s monetary story has a familiar rhythm: liquidity accelerates as elections approach, then authorities spend the next year trying to drain it back out.
The pattern doesn’t ‘prove’ corruption; money growth is not a courtroom exhibit. But it is a warning light: persistent pre-election monetary expansion is consistent with a system that leans on patronage, off-budget commitments, and a central bank that can be pulled into financing the political calendar.
Here’s the short timeline the IMF numbers allow: Ahead of the 2001 election, broad money grew by 18 percent in the year to December 2000, with a 14 percent expansion projected for 2000/2001.
Likewise, ahead of (and into) the 2011 election, M2 expanded at 21.2 percent in FY 2009/10 and 19.3 percent in FY 2010/11 before dropping to 13.7 percent in FY 2011/12; around the 2016 election, broad money (M3) is shown at 17.5 percent in FY 2014/15 and 16.3 percent in FY 2015/16, with a later dip to 12.6 percent in FY 2017/18.
Looking toward 2026, projections show 11.2 percent in FY 2024/25, jumping to 17.0 percent in FY 2025/26, and easing to 14.2 percent in FY2026/27-while the attached IMF documents do not present a clear broad-money growth figure for the 1995-96, 2005-06, or 2020-21 cycles.
The hinge in this story is a letter dated March 9, 2001 (yes, the election was on March 12 2001), right in the heat of an election year: the ‘Uganda Letter of Intent’ signed by Finance Minister Gerald M Ssendaula to Horst Köhler, the Managing Director at the International Monetary Fund. It read like a technocratic memo with a political pulse.
The government reported that it met almost all quantitative benchmarks, ‘except for the accumulation of unfunded outstanding commitments’ on recurrent spending. And then it gets specific: the ‘failure of two ministries (State House and the Judiciary) to control commitments.’
That’s not a random accounting glitch. It’s a glimpse of how election pressures show up in a budget: promises made, contracts implied, obligations piling up; sometimes faster than Parliament, cash management, or procurement safeguards can contain.
This is where fiscal dominance enters: when the government’s financing needs start dictating monetary conditions. So what does broad money expansion suggest about corruption risk? Think of it as a smoke detector.
Persistent election-linked liquidity growth is consistent with channels that warrant investigation: off-budget commitments, arrears used as shadow spending, procurement shortcuts, campaign-season ‘projects,’ and weak disclosure on supplementary budgets.
Where does the excess broad money go? Some of it gets sterilised into government paper when authorities sell bills and bonds to absorb liquidity. Some leaks into FX deposits and dollarisation, exactly the kind of hedging the 2001 letter flags when foreign-currency deposits jump. Some show up as import demand and pressure on the external balance.
Some find a home in real estate and land, assets that store value when people don’t trust prices. And some sit on bank balance sheets, trapped between political risk and attractive government yields.
None of that is automatic proof. But if every election season coincides with a monetary bulge, the burden shifts to institutions to explain why. In this case, you have your answer.