Systemic Contagion from a Mass Specialized Deposit-Taking Institutions (SDI) Cleanup

A technical assessment of systemic risks following large-scale license revocations of specialized deposit-taking and non-bank financial institutions — implications for inflation, the cedi, lending spreads and employment, with evidence-based budgetary remediation measures.

Between 2017–2024 Ghana implemented a large-scale regulatory “clean-up” that culminated in the revocation or suspension of hundreds of specialized deposit-taking and non-bank licenses (most prominently: 347 microfinance firms, dozens of microcredit firms, multiple savings & loans and finance houses and earlier revocations among universal banks). The sub-sector (SDIs + S&Ls + finance houses + RCBs + MFIs) accounts for a non-trivial share of financial intermediation (end-2024 assets of the SDI sector ≈ GH¢33.64 billion; S&Ls/FHs/LFCs ≈ GH¢12.54 billion; major banks ≈ GH¢367.81 billion). The closure of a large number of these institutions therefore creates measurable market-access gaps (liquidity and credit for households, SMEs and rural clients), with second-order effects on inflationary dynamics, the exchange rate, lending rates and employment. This paper quantifies the gap using central-bank and multilateral data, identifies transmission channels and proposes budgetary and BoG/MoF measures to restore intermediation and limit macroeconomic fallout.

1. What happened — scale and immediate market gap

Regulatory actions taken. The Bank of Ghana (BoG) publicly revoked licenses in waves: most visibly, the 2019 revocation that affected 347 microfinance companies and 39 microcredit firms and a separate revocation of 23 savings & loans / finance-house licences; the BoG has also revoked and suspended licences of other SDIs and non-bank actors in subsequent clean-ups as it enforces Act 930 and related rules. These actions were undertaken on solvency/compliance grounds (insolvency, under-capitalisation, weak corporate governance and prudential breaches).

Size of the financial intermediation gap. The BoG’s 2024 Annual Report provides the best readily-available balance-sheet snapshot of the sector:

• Depository banks (DMBs): total assets ≈ GH¢367,805.09 million (≈ GH¢367.8 billion) at end-2024.
• The broader SDI sector (microfinance, S&Ls, RCBs, finance houses) combined: assets ≈ GH¢33.64 billion (8.38% of total industry assets). Within that: S&Ls/FHs & LFCs combined posted GH¢12.54 billion in assets (≈3.12% of industry assets) as of Dec-2024. These figures show that while universal banks dominate intermediation, SDIs are material for financial access — particularly for micro, small and rural clients.

Interpreting the “gap.” License revocations do not instantly remove system-wide assets (receivership, liquidation and deposit reimbursement processes exist), but they do:

1. Remove local distribution outlets for deposits and small loans (branch presence, client relationships).
2. Force customers to re-home deposits or remain unbanked while receivership proceeds — increasing liquidity frictions.
3. Cut credit supply to micro and small enterprises that rely on SDIs (short-tenor working-capital, microcredit).

The quantitative immediate gap is therefore not simply the GH¢12.5–33.6 billion of SDI assets (some of which are in receivership) but a liquidity-access and credit-flow gap concentrated on segments that account for a disproportionately large share of employment (micro and small enterprises, informal sector). The BoG data show SDIs account for >8% of the banking industry’s assets, a sizeable channel for lower-income, SME and rural clients.

2. Transmission channels to macro variables

Below I lay out the principal channels by which mass closures affect inflation, the exchange rate, lending rates, and unemployment, then quantify likely directions and magnitudes using available data and economic logic.

A. Credit supply → real activity → unemployment

• Channel: SDIs are important lenders to micro/small firms and households. Their exits reduce credit availability to these borrowers, forcing working-capital constraints, cutbacks, business closures or delayed expansion. Micro and small businesses account for a large share of employment in Ghana (informal sector prominence). The GSS labour reports indicate persistent vulnerabilities in employment and elevated unemployment segments even after 2023–24, highlighting sensitivity to shocks.
• Likely effect: Short-run rise in layoffs among borrowers who default or cannot roll short-term working-capital lines; growth in informality and temporary unemployment spells. Magnitude: Given SDIs comprise ~8% of assets and disproportionately serve micro firms, a closure shock could increase unemployment in vulnerable cohorts by a multiple of the sector’s asset share. This effect is mitigated if large banks and digital lenders rapidly absorb customers — yet distributional frictions (know-your-customer, branch footprints) limit rapid substitution.

B. Liquidity substitution & lending rates

• Channel: Reduced competition for retail deposits concentrates funding in larger banks and increases the scarcity of short-term retail deposits. Banks facing higher marginal funding costs pass this to borrowers via higher lending spreads. BoG data show average lending rates were ~30.25% in Dec-2024; the Monetary Policy Committee’s actions in 2025 show volatility in policy rates responding to inflation — closures can amplify pass-through.
• Likely effect: Upward pressure on lending rates for micro/SME loans (already high) and widening spreads. If SDI closures reduce deposit supply materially or force banks to shift to more expensive wholesale funding, lending rates could rise several hundred basis points for high-risk micro loans.

C. Inflation

• Channels: (i) Supply-side: constrained credit reduces production/seasonal supply (esp. small farmers, traders) leading to higher food prices; (ii) indirect: closures raise risk premia and can weaken confidence, prompting currency outflows; (iii) fiscal: the government may need to expand contingency spending to support depositors/receivership, worsening fiscal deficits and monetary financing risks. BoG data show headline inflation at 23.8% at end-2024, driven largely by food and exchange-rate pass-through.
• Likely effect: Net upward pressure on inflation (especially food/non-food prices sensitive to microcredit for input purchases and trade financing). The degree depends on the speed of credit reallocation and fiscal buffers.

D. Exchange rate (GH¢)

• Channels: Confidence and external flows: closures that knock confidence or require government guarantees/contingent fiscal outflows can widen risk premia and pressure the cedi. Conversely, a well-managed resolution and credible fiscal/monetary stance will limit depreciation. The BoG’s stress testing indicates large exchange-rate shocks can be material but were assessed as having “minimal” immediate impact on solvency in some scenarios; still, the cedi has been historically sensitive to confidence and external debt developments.
• Likely effect: If receivership costs or depositor worries trigger capital flight or reduced remittances, expect cedi depreciation and exchange-rate pass-through into inflation. The 2024 data show energy and external uncertainties were already key drivers of exchange-pressures.

3. Empirical markers and evidence
Key authoritative data points to anchor the argument:

1. BoG (2024 Annual Report): Industry asset totals — Banks GH¢367.81bn; SDIs GH¢33.64bn; S&Ls/FHs & LFCs GH¢12.54bn (Dec-2024). Industry NPLs rose to 21.8% end-2024. Aggregate lending rates averaged 30.25% (Dec-2024). These figures show the SDI sector is material and the system had elevated credit stress going into the clean-up period.
2. Regulatory revocation scale: BoG’s clean-up revoked licences of 347 microfinance firms and 39 microcredit firms in 2019 and revoked 23 savings & loans/finance houses in August 2019 (and additional revocations followed in subsequent enforcement rounds). These actions removed a large share (up to ~72%) of microfinance actors at that time.
3. Macro environment: Headline inflation was 23.8% at end-Dec-2024; policy volatility persisted (BoG changed MPR multiple times in 2024–25). IMF Article IV and subsequent reviews document Ghana’s macro-financial vulnerabilities through 2024 and the importance of structural measures and recapitalization to restore confidence.
4. Labour indicators: Ghana Statistical Service releases and labour bulletins show vulnerability in employment, with sections of the labour force concentrated in micro and informal sectors that rely on SDIs for credit and payments, increasing the social cost of SDI exits.

These sources together justify that (a) the SDI clean-up was substantial; (b) the SDI sector is material for micro/SMS intermediation; and (c) Ghana was already experiencing elevated inflation and NPLs, making the system sensitive to further supply-side shocks.

4. Practical, budget-centric recovery and mitigation measures (for subsequent budgets)

Below are actionable budget provisions and design principles the Ministry of Finance (MoF) and Parliament can adopt to restore intermediation, protect depositors, and limit macro spillovers. Each measure notes fiscal cost profiles and implementation notes.

Proposed Policy Brief
Mitigating the Systemic Risks of Financial Sector Clean-up in Ghana (2025 Perspective)

Between 2017 and 2020, Ghana’s financial sector underwent a clean-up exercise that led to the closure of over 420 financial institutions, including banks, savings and loans companies, microfinance institutions, and other Specialized Deposit-taking Institutions (SDIs). The intervention, while necessary to restore financial stability, left systemic gaps: reduced access to credit, loss of investor confidence, increased unemployment, and pressures on inflation and exchange rates.

By 2025, under the new government, these effects are still reverberating through the economy. SMEs, which form more than 70% of Ghana’s private sector employment (GSS, 2024), continue to face credit rationing as commercial banks remain risk-averse. SDIs, which traditionally serve low-income households, traders, and rural economies, remain undercapitalized, leaving many Ghanaians financially excluded.

Key Systemic Risks

1. Credit Access Gap
   • Collapse of microfinance and SDIs reduced financial penetration, especially in rural and peri-urban communities.
   • Lending rates remain above 30% (BoG MPC Report, June 2025), crowding out small businesses.
2. Unemployment and Social Impact
   • An estimated 20,000 direct jobs lost in the financial sector, with indirect job losses across SMEs.
   • Contributes to urban underemployment and rural poverty.
3. Macroeconomic Pressures
   • Exchange rate depreciation remains persistent, with the Ghana cedi trading around GH¢15.20 per US$1 (BoG FX Market Report, Sept 2025).
   • Inflation, though down from 54% in 2023 to 27% in mid-2025 (GSS, 2025), is still being fueled by high cost of credit and weak private sector recovery.
4. Trust Deficit in Financial System
   • Public mistrust of non-bank financial institutions lingers, affecting deposit mobilization.
   • Investors remain cautious in long-term capital commitments.

Policy Options and Budget Provisions (2025–2026)

Total Proposed Allocation: GH¢ 3.88 billion

Role of Key Institutions

• Bank of Ghana (BoG):
  • Strengthen regulatory oversight without overburdening SDIs.
  • Expand credit reporting systems to reduce default risks.
  • Maintain monetary policy balance between inflation control and credit availability.
• Ministry of Finance:
  • Provide fiscal space for recapitalization through budgetary allocations and sovereign guarantees.
  • Drive SME-supportive tax policies to ease cost of doing business.
  • Work with Parliament to ensure special funds for SDIs are protected from political interference.

Conclusion
The financial sector clean-up restored stability but left deep market scars. In 2025, Ghana must shift from damage control to market rebuilding, focusing on SME credit, rural financial inclusion, and confidence restoration. Budgetary allocations must balance fiscal discipline with strategic investments in SDIs and SME financing.

Failing to address these gaps will prolong unemployment, worsen exchange rate volatility, and stall inclusive growth, while timely interventions can re-anchor Ghana’s financial system as a growth driver under the new government.

References
Bank of Ghana. (2025). Annual Report and Financial Statements 2024. Bank of Ghana. https://www.bog.gov.gh/wp-content/uploads/2025/07/2024-Annual-Report-and-Financial-Statements.pdf Bank of Ghana

Bank of Ghana. (16 August 2019). Notice of Revocation of Licences of Insolvent Savings and Loans Companies and Finance Houses, and Appointment of a Receiver (Revocation Notice). Bank of Ghana. https://www.bog.gov.gh/wp-content/uploads/2019/08/Revocation-of-Licenses-of-SDIs-16.8.19.pdf Bank of Ghana

Bank of Ghana. (31 May 2019). Notice: Revocation of licences of 347 microfinance companies (press release). Bank of Ghana; Receiver materials. (See BoG and receivership notices summarised by BoG and receivership portals).

International Monetary Fund. (2024). Ghana: 2023 Article IV Consultation, First Review Under the Extended Credit Facility — Staff Report (IMF Country Report). IMF eLibrary.

World Bank. (2025). Ghana — Country overview and Financial Stability Project materials. World Bank. https://www.worldbank.org/en/country/ghana/overview and project documents on financial sector support.

Ghana Statistical Service. (2025). Labour Statistics Bulletins / AHIES releases (2023–2024 releases). Ghana Statistical Service.

About the Author
Dr. Philip Takyi, a seasoned Financial Security Expert and SBS Swiss Business School -Switzerland graduate, with over 20 years of experience in safeguarding financial assets, corporate governance, and risk management. An EMBA graduate in Cybersecurity at Ottawa University (USA). A Fellow of several prestigious institutions, including the Chartered Institute of Leadership and Governance (USA), Forum for Democratic and Accountable Governance, and the Chartered Institute of Financial and Investment Analysts (Ghana), he is a recognized authority on financial security, fraud prevention, and digital transformation. Dr. Takyi is also a skilled C-level executive across Africa, Europe, Latin America and The United States, and Trainer of Trainers in financial security awareness. Dr Takyi currently manages a consultancy firm targeted at Community Development Financial Institutions that embrace innovative strategies and cyber-driven technologies to address complex business challenges mainly in the United States.