## Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks

## Source details

**Canonical URL:** [Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks](https://www.imf.org/-/media/files/publications/wp/2026/english/wpiea2026140-source-pdf.pdf)

## Other formats

- [Markdown version](/-/media/files/publications/wp/2026/english/wpiea2026140-source-pdf.pdf.md)
- [Structured JSON version](/-/media/files/publications/wp/2026/english/wpiea2026140-source-pdf.pdf.json)

---

### Overview and motivation
- Frontier market (FM) status is described as a steppingstone on the trajectory of Low-Income Countries (LICs) graduating towards Emerging Market (EM) status.
- The concept of Frontier Markets was created "three decades ago" to recognize advanced LICs more integrated into the global economic and financial system than their LIC peers.
- FM status signals countries becoming attractive destinations for investment due to rapid growth and development, and significant exposure to international private capital flows (FDI or portfolio flows).
- Recent shocks testing FMs include: COVID-19 pandemic; energy and food price shocks from the Russia-Ukraine war; tightening global financial conditions driven by monetary policy tightening in advanced economies; major shifts in external financing to LICs with declines in remittances and official development assistance (ODA).

### Identification methodology and sample
- Initial sample: 87 countries based on 2023 vintage of PRGT-eligible countries (69) supplemented with additional countries; final sample comprises 87 countries.
- FM classification rule:
  - Compare 3-year rolling averages of five financial indicators to EMs' three-year averages.
  - A country is classified as FM if it meets at least 4 out of 5 criteria each year.
  - Four indicators (i) broad money-to-GDP (M2/GDP), (ii) cross-border loans and deposits, (iii) stock market capitalization, (iv) portfolio inflows are considered met if the country’s 3-year average surpasses the lower end of the one-standard-deviation band of the EMs’ 3-year average.
  - Fifth criterion (sovereign bond issuance) is met if a country issued external bonds in the current and past two years or has a credit rating above BB-.
- FM status assigned to 369 observations, corresponding to roughly 14.13% of the sample (1,921 observations categorized as NFLICs and 320 EMs).
- Correlations with FM indicator (Table 2): FM–Market Access 0.52; FM–Market Capitalization 0.47; FM–Issuance 0.40.

### Stylized facts and cross-group statistics
- Key cross-group means (Table 3):
  - Output Growth: NFLICs 3.55; FMs 5.35; EMs 3.14; AEs 2.45.
  - FDI flows (%GDP): NFLICs 3.21; FMs 3.76; EMs 3.28; AEs 0.55.
  - Fiscal Balance (%GDP): NFLICs -2.43; FMs -3.27; EMs -2.03; AEs -1.97.
  - Reserves (months of import): NFLICs 4.21; FMs 4.66; EMs 6.12; AEs 3.82.
  - Government Debt (%GDP): NFLICs 59.85; FMs 51.58; EMs 49.22; AEs 67.69.
  - Inflation: NFLICs 40.41; FMs 7.25; EMs 62.39; AEs 2.23.
  - WGI index average: NFLICs 0.38; FMs 0.4; EMs 0.5; AEs 0.77.
- Stylized characteristics of FMs:
  - Stronger macroeconomic fundamentals: higher output growth, lower public debt, and lower inflation relative to NFLICs and EMs.
  - Larger fiscal deficits than NFLICs and EMs, and higher FDI inflows.
  - Improved governance metrics (WGI) vs NFLICs, notably government effectiveness and regulatory quality; political stability and control of corruption show no significant differences across FMs and NFLICs.
- Dynamics around transition:
  - FMs tend to improve key indicators—especially output growth—before transitioning from NFLIC to FM.
  - Post-transition: deficits widened (post-2009) and indebtedness rose (post-2015), consistent with easier access to external financing leading to wider deficits and higher public debt.
  - Output growth among FMs is more volatile with pronounced downturns after the GFC and COVID-19.

### Determinants of transition from NFLIC to FM (empirical results)
- Econometric setup:
  - Dependent variable: Pr(FM_i,t = 1 | FM_i,t-1 = 0), using 3-year rolling averages.
  - Pull factors: lagged output growth, FDI (%GDP), fiscal balance (%GDP), current account (%GDP), reserves (months of imports), government debt (%GDP), inflation; governance (government effectiveness); IMF program dummies (GRA, PRGT).
  - Push factors: VIX and Krippner Shadow US rate (shadow rate).
  - Sample: annual unbalanced panel of 87 LICs between 1993 and 2022; estimations by linear and Probit specifications.
- Main findings (Table 4):
  - Output Growth: positive and statistically significant in several specifications (e.g., column (1) coefficient 0.003***; column (3) 0.004**).
  - Government Debt: negative association (e.g., column (1) -0.0001*; column (3) -0.0005*).
  - Government Effectiveness: positive and significant (e.g., column (1) 0.096*; column (3) 0.159***; column (4) 0.167***).
  - IMF GRA program coefficients are positive in some specifications but generally not statistically significant; PRGT program coefficients are not statistically significant.
  - Push factors (VIX and Shadow rate) do not show robust positive effects; coefficients are small and generally not significant.
- Interpretation:
  - Transition is mainly driven by pull factors: strong output growth, low public debt, and improved government effectiveness.
  - Global push factors (US monetary policy stance, VIX) matter less for the transition.

### Sensitivity of sovereign spreads to U.S. monetary policy stance
- Methodology:
  - Local projections (Jordà, 2005) with quarterly data covering 2012 Q2 to 2022 Q4 for 76 countries.
  - Dependent variable: changes in sovereign yield spreads (from the Sovereign Spread Monitor).
  - Shock variable: ∆ ShadowRate_t (Krippner shadow rate); controls include VIX, lagged spread changes, country fixed effects; country-specific controls include output growth, fiscal balance, government debt.
- Main results:
  - Sovereign spreads in FMs and EMs are similarly sensitive to changes in U.S. monetary policy stance and react positively after a tightening, consistent with the capital flow channel.
  - Difference in impulse response functions between FMs and EMs is small.
  - NFLICs show no statistically significant response, reflecting higher average risk premia and greater heterogeneity.
- Magnitude and interpretation:
  - FMs and EMs respond positively to US monetary policy tightening, implying capital outflow and spread widening.
  - Lack of significant response for NFLICs suggests limited market integration or heterogeneous risk premia.

### Role of structural characteristics in mitigating spread sensitivity
- Structural characteristics examined: Exchange rate regime (Floating vs Non-Floating); Official reserves (Large vs Low); Public debt (Low vs High); Fiscal balance (Large vs Low); Export structure (More Diversified vs Less Diversified); Oil export status (Oil Exporters vs Oil Importers).
- Key findings for FMs:
  - Floating exchange rates are associated with a more muted sovereign spread response to U.S. monetary policy shocks.
  - Large reserves buffer the response: sensitivity of local spreads is near zero when official reserves are high; low FX reserves lead to a positive and significant impulse response.
  - Low public debt and a larger fiscal balance help dampen spread responses; high public debt leads to larger and statistically significant responses.
  - More diversified export structures are associated with a dampened impact from U.S. monetary policy fluctuations.
  - Oil exporters tend to have more muted spread responses compared to oil importers (except in the initial quarter where responses are similar), possibly reflecting buffer-building from oil revenues.
- For EMs: structural factors matter as well, but effects are generally less pronounced than for FMs.

### Robustness checks
- Alternative FM identification strategies tested:
  - Excluding portfolio flows from selection criteria (country considered FM if meets 3 out of 4 criteria).
  - Market-based definition relying solely on debt issuance in international markets.
  - Excluding portfolio flows affects small and developing states; relying solely on debt issuance excludes countries without a minimum rating of BB- or market access.
- Determinants of transition:
  - Improved government effectiveness remains consistently significant across alternative FM definitions; the role of macro fundamentals (output growth, government debt) and IMF program varies with FM identification method.
- Spreads sensitivity:
  - Re-estimating spread responses using alternative FM classifications and an alternative measure of sovereign spreads (EMBIG instead of Sovereign Spread Monitor) yields impulse responses largely consistent with baseline results.

### Policy-relevant implications and conclusions
- Attaining and sustaining FM status is primarily driven by domestic pull factors: strong output growth, low public debt, and improved government effectiveness.
- Global push factors such as US monetary policy stance and VIX are less important determinants of transition to FM status.
- Once market access is achieved, FMs’ sovereign spreads respond to U.S. monetary policy changes similarly to EMs; NFLICs without market integration do not show the same sensitivity.
- Structural policies to reduce sensitivity of spreads to global shocks:
  - Maintain a floating exchange rate regime.
  - Build large official reserve buffers.
  - Keep low public indebtedness.
  - Preserve stronger fiscal balances.
  - Promote export diversification; oil exporters may leverage revenues to build buffers.
- Fiscal policy cautions:
  - Fiscal deficits and public debt tend to increase after graduation to FM status.
  - Implement prudent fiscal policies, enhance revenue mobilization, and introduce credible fiscal rules and medium-term frameworks to anchor investor confidence.

*IMF WORKING PAPER, "Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks" (Working Paper No. WP/2026/140).*

### Introduction ...........................................................................................................

### Introduction

### Overview
- Frontier market (FM) status is described as a steppingstone on the trajectory of Low-Income Countries (LICs) graduating towards Emerging Market (EM) status.
- The concept of Frontier Markets was created "three decades ago" to recognize advanced LICs that are more integrated into the global economic and financial system than their LIC peers.
- FM status signals that countries are becoming attractive destinations for investment due to rapid growth and development, and significant exposure to international private capital flows (FDI or portfolio flows).
- FMs are characterized as beacons of optimism among LICs, with FM status viewed as a milestone on the path to becoming an EM.

### Historical trend and market implications
- The number of countries considered FMs has been growing since the 1990s.
- This growth accelerated after the Global Financial Crisis (GFC), which saw increased investor interest in this subgroup of low-income developing countries (LIDCs).
- The increase in market interest led to greater access to international capital and heightened external debt issuance, with "23 LIDCs tapping international financial markets between the GFC and" (text ends).

### Framing within the paper (structure indicated)
- The paper contains sections including: Related Literature; Frontier Markets: Identification and Stylized Facts; Identifying Frontier Markets; Descriptive Analysis; Empirical Analysis; Factors Influencing the Transition to Frontier Market Status; The Sensitivity of FMs to US Monetary Policy Stance, Compared with NFLICs and EMs; Role of Structural Factors in Mitigating Exposure to US Monetary Policy; Robustness; Conclusion; Annexes and References.
- Figures listed include: Tracking the shifts in countries status: A heatmap view (1993-2022); Dynamics of key variables: Comparison between NFLICs and FMs (1993-2022); several figures analyzing spreads response to U.S. monetary policy and the role of domestic and external buffers.
- Tables listed include: Description of FM identification criteria; Correlation matrix of the baseline FM identification and different definition criteria; Descriptive analysis; Factors driving the transition from NFLIC to FM status.

*Source: wpiea2026140-source-pdf - Introduction*

### 2022. Investment banks and corporations supported this new interest by launching indices like the J.P. Morgan

### Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks

### Summary of context and motivation
- Investment banks and corporations launched indices such as the J.P. Morgan NexGen, S&P Frontier BMI, and FTSE Frontier Index to support renewed investor interest in frontier markets. Inclusion of LICs since 2009 and investor interest also helped promote the J.P. Morgan EMBI Global Diversified Index.
- Recent adverse global shocks testing frontier markets (FMs) include: the COVID-19 pandemic; energy and food price shocks from the Russia-Ukraine war; tightening global financial conditions driven by monetary policy tightening in advanced economies; and major shifts in external financing to LICs with declines in remittances and official development assistance (ODA).
- Some FMs experienced capital outflows, currency depreciations, widening spreads and difficulties issuing new bonds after COVID-19; pressures have somewhat unwound recently, with several FMs regaining market access.

### Objectives and approach
- Analysis proceeds in three steps:
  - Refine and extend the FM definition from the 2014 LIDC report and create a time-varying sample of FMs.
  - Compare macroeconomic and structural characteristics of FMs versus non-frontier LICs (NFLICs) and emerging markets (EMs).
  - Estimate drivers of transitions from NFLIC to FM status and evaluate relative importance of country-specific fundamentals versus global conditions.
  - Estimate sensitivity of FM sovereign spreads to changes in global financial conditions, proxied by the shadow U.S. short term interest rate, and examine how structural characteristics affect this sensitivity.

### Identification of Frontier Markets: methodology and sample
- Initial sample: 87 countries based on 2023 vintage of PRGT-eligible countries (69) supplemented with additional countries that were part of the LIDC classification in the past or included in FM financial indices; final sample comprises 87 countries.
- FM classification rule:
  - Compare 3-year rolling averages of five financial indicators to EMs' three-year averages.
  - A country is classified as FM if it meets at least 4 out of 5 criteria each year.
  - Four indicators (i) broad money-to-GDP (M2/GDP), (ii) cross-border loans and deposits, (iii) stock market capitalization, (iv) portfolio inflows are considered met if the country’s 3-year average surpasses the lower end of the one-standard-deviation band of the EMs’ 3-year average.
  - Fifth criterion (sovereign bond issuance) is met if a country issued external bonds in the current and past two years or has a credit rating above BB-.
- FM status assigned to 369 observations, corresponding to roughly 14.13% of the sample (1,921 observations categorized as NFLICs and 320 EMs).
- Market capitalization and market access show the strongest correlations with the FM indicator (Table 2 correlations: FM–Market Access 0.52; FM–Market Capitalization 0.47; FM–Issuance 0.40).

### Stylized facts and descriptive statistics (comparison of NFLICs, FMs, EMs, AEs)
- Key cross-group means (Table 3):
  - Output Growth: NFLICs 3.55; FMs 5.35; EMs 3.14; AEs 2.45.
  - FDI flows (%GDP): NFLICs 3.21; FMs 3.76; EMs 3.28; AEs 0.55.
  - Fiscal Balance (%GDP): NFLICs -2.43; FMs -3.27; EMs -2.03; AEs -1.97.
  - Reserves (months of import): NFLICs 4.21; FMs 4.66; EMs 6.12; AEs 3.82.
  - Government Debt (%GDP): NFLICs 59.85; FMs 51.58; EMs 49.22; AEs 67.69.
  - Inflation: NFLICs 40.41; FMs 7.25; EMs 62.39; AEs 2.23.
  - WGI index average: NFLICs 0.38; FMs 0.4; EMs 0.5; AEs 0.77.
- Stylized characteristics of FMs:
  - FMs display stronger macroeconomic fundamentals: higher output growth, lower public debt, and lower inflation compared to NFLICs and EMs.
  - FMs have larger fiscal deficits than NFLICs and EMs, and higher FDI inflows.
  - FMs show improved governance metrics (WGI) vs NFLICs, particularly government effectiveness and regulatory quality; political stability and control of corruption show no significant differences across FMs and NFLICs.
- Dynamic patterns:
  - FMs tend to improve key indicators—especially output growth—before transitioning from NFLIC to FM.
  - Post-transition, deficits widened (post-2009) and indebtedness rose (post-2015), suggesting easier access to external financing can lead to wider deficits and higher public debt after transition.
  - Output growth among FMs is more volatile with pronounced downturns after the GFC and COVID-19, indicating vulnerability to global shocks.

### Determinants of transition from NFLIC to FM (empirical results)
- Econometric setup:
  - Dependent variable: Pr(FM_i,t = 1 | FM_i,t-1 = 0), using 3-year rolling averages for country-specific variables.
  - Pull factors included: lagged output growth, FDI (%GDP), fiscal balance (%GDP), current account (%GDP), reserves (months of imports), government debt (%GDP), inflation; governance (government effectiveness); IMF program dummies (GRA, PRGT).
  - Push factors included: VIX and Krippner Shadow US rate (shadow rate).
  - Sample: annual unbalanced panel of 87 LICs between 1993 and 2022; regressions estimated by linear and Probit specifications.
- Main findings (Table 4):
  - Output Growth: positive and statistically significant in several specifications (e.g., column (1) coefficient 0.003***; column (3) 0.004**; significance indicated by *p<0.1; **p<0.05; ***p<0.01).
  - Government Debt: negative association (e.g., column (1) -0.0001*; column (3) -0.0005*), indicating lower government debt increases probability of transition.
  - Government Effectiveness: positive and significant in multiple specifications (e.g., column (1) 0.096*; column (3) 0.159***; column (4) 0.167***).
  - IMF GRA program coefficients are positive in some specifications but generally not statistically significant; PRGT program coefficients are not statistically significant.
  - Push factors (VIX and Shadow rate) do not show robust positive effects on the transition to FM; their coefficients are small and generally not significant.
- Interpretation:
  - Transition to FM status is mainly driven by pull factors: strong output growth, low public debt, and improved government effectiveness.
  - Global push factors (US monetary policy stance, VIX) matter less for the transition from NFLIC to FM status.

### Sensitivity of sovereign spreads to U.S. monetary policy stance
- Methodology:
  - Local projections (Jorda, 2005) with quarterly data covering 2012 Q2 to 2022 Q4 for 76 countries.
  - Dependent variable: changes in sovereign yield spreads (from the Sovereign Spread Monitor).
  - Shock variable: ∆ ShadowRate_t (Krippner shadow rate); control for VIX, lagged spread changes, and country fixed effects; country-specific controls include output growth, fiscal balance, government debt.
- Main results (Figure 3 and accompanying text):
  - Sovereign spreads in FMs and EMs are similarly sensitive to changes in U.S. monetary policy stance and react positively after a tightening, consistent with the capital flow channel.
  - Difference in impulse response functions between FMs and EMs is small.
  - NFLICs show no statistically significant response, reflecting higher average risk premia and greater heterogeneity.
- Magnitude and interpretation:
  - FMs and EMs respond positively to US monetary policy tightening, implying capital outflow and spread widening via the capital flow channel.
  - The lack of significant response for NFLICs suggests limited market integration or heterogeneous risk premia.

### Role of structural characteristics in mitigating spread sensitivity
- Structural characteristics examined:
  - Exchange rate regime (Floating vs Non-Floating).
  - Official reserves (Large vs Low).
  - Public debt (Low vs High).
  - Fiscal balance (Large vs Low).
  - Export structure: Diversification (More Diversified vs Less Diversified) and Oil export status (Oil Exporters vs Oil Importers).
- Key findings (Figures 4–7):
  - For FMs:
    - Floating exchange rates are associated with a more muted response of sovereign spreads to U.S. monetary policy shocks.
    - Large reserves buffer the response: sensitivity of local spreads is near zero when official reserves are high; low FX reserves lead to a positive and significant impulse response.
    - Low public debt and a larger fiscal balance help dampen spread responses; high public debt leads to larger and statistically significant responses.
    - More diversified export structures are associated with a dampened impact from U.S. monetary policy fluctuations.
    - Oil exporters tend to have more muted spread responses compared to oil importers (except in the initial quarter where responses are similar), possibly reflecting buffer-building ability from oil revenues.
  - For EMs:
    - Structural factors matter as well, but effects are generally less pronounced than for FMs, underlining the greater importance of strong fundamentals and buffers for FMs to cushion external shocks.

### Robustness checks
- Alternative FM identification strategies tested:
  - Excluding portfolio flows from selection criteria (country considered FM if meets 3 out of 4 criteria).
  - Market-based definition relying solely on debt issuance in international markets.
  - Excluding portfolio flows affects small and developing states; relying solely on debt issuance excludes countries without a minimum rating of BB- or market access.
- Determinants of transition:
  - Robustness exercises show the role of improved government effectiveness remains consistent across alternative FM definitions; the role of macroeconomic fundamentals (output growth, government debt) and IMF program varies with FM identification method.
- Spreads sensitivity:
  - Robustness checks re-estimating spread responses using alternative FM classifications and an alternative measure of sovereign spreads (EMBIG instead of Sovereign Spread Monitor) yield impulse responses largely consistent with baseline results.

### Policy-relevant implications and conclusions
- Attaining and sustaining FM status is primarily driven by domestic pull factors: strong output growth, low public debt, and improved government effectiveness.
- Global push factors such as US monetary policy stance and VIX are less important determinants of transition to FM status.
- Once market access is achieved, FMs’ sovereign spreads respond to U.S. monetary policy changes similarly to EMs; NFLICs without market integration do not show the same sensitivity.
- Structural policies that reduce sensitivity of spreads to global shocks include:
  - Maintaining a floating exchange rate regime to absorb shocks.
  - Building large official reserve buffers.
  - Keeping low public indebtedness.
  - Preserving stronger fiscal balances.
  - Promoting export diversification; oil exporters may leverage revenues to build buffers.
- Policy takeaway: For LICs aiming to reach or sustain FM status, improving macroeconomic fundamentals and governance and building fiscal and external buffers are critical to attract and stabilize market access and to dampen the costs of external macroeconomic fluctuations.

*Italic: IMF WORKING PAPER, "Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks" (content unit provided).*

### Conclusion

### Conclusion

### Key findings on attaining Frontier Market (FM) status
- Achieving FM status is a major milestone for LICs, offering more reliable access to external funding sources—and, in particular, international private capital, which can accelerate economic growth and development.
- Attaining FM status is closely tied to a country’s economic fundamentals, particularly robust output growth, significant foreign direct investment, and sound fiscal management.
- The quality of institutions and economic governance stand out as a critical determinant: countries with higher institutional effectiveness and transparency are more likely to achieve FM status, because these qualities foster investor confidence.
- External push factors play a less important role for accession to the group.

### Risks and sensitivity after accession
- Retaining FM status depends on countries’ ability to weather external shocks.
- FM sovereign spreads demonstrate significant sensitivity to changes in U.S. monetary policy, on a level that is similar to that observed in EMs. This showcases the fragility of their market access.
- The persistence of FM status cannot be taken for granted; several FMs have taken recourse to IMF programs in efforts to stabilize their economies in the aftermath of the COVID-19 pandemic and subsequent shocks.

### Role of buffers and macroeconomic settings
- To mitigate sensitivity to external shocks, maintaining flexible exchange rates, adequate foreign reserves, and prudent debt levels is highlighted.
- Building buffers and continuous progress on prudent fiscal and other macroeconomic policies are emphasized.
- Structural reforms and continuous upgrading of economic institutions are necessary for sustained investor confidence.

### Fiscal implications and policy priorities after FM graduation
- Fiscal deficits and public debt tend to increase after graduation to FM status.
- Implementing prudent fiscal policies, enhancing revenue mobilization, and introducing credible fiscal rules and medium-term frameworks is of particular importance for anchoring investors’ confidence.

### Robustness and supporting evidence (annex material summary)
- Annex I and Annex II document additional stylized facts and robustness checks, including:
  - Dynamics of government spending & investment and governance sub-indices (1993-2022) comparing NFLICs and FMs.
  - Alternative FM definitions and heatmap tracking of status shifts (1993-2022).
  - Multiple regression tables (Tables 5–9) assessing factors driving the transition from LIC to FM status, with alternative governance metrics, alternative FM identifications, and various specifications (Pooling: Yes/No; Country FE: Yes/No; Country RE: Yes/No; Linear/Probit).
  - Econometric results indicate consistently significant roles for government effectiveness and other governance metrics in the probability of transition to FM status, with significance levels reported as *p<0.1; **p<0.05; ***p<0.01.
  - Comparative regime-switching and impulse-response style figures (Figures 12–20) showing FMs’ spreads response to U.S. monetary policy stance changes relative to NFLICs and EMs, and the moderating roles of floating exchange rates, reserves, public debt, fiscal balance, external position diversification, and commodity (oil) exporter/importer status. Note: shaded areas in figures represent 90% confidence intervals.

*IMF Working Paper — Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks (Conclusion).*

### 2025. Washington, DC: International Monetary Fund.

### Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks

### Publication and document identification
- Working Paper No. WP/2026/140
- 2025. Washington, DC: International Monetary Fund.

### Bibliographic references cited in this content unit
- Jordà,  Ò.  (2005).  Estimation  and  inference  of  impulse  responses  by  local  projections.  American  Economic Review, 95(1), 161-182.
- Nellor, D. C. L. (2008). The rise of Africa’s “frontier” markets. Finance and Development, 45(3), 30-33.
- Ngene,  G.,  Post,  J.  A.,  &  Mungai,  A.  N.  (2018).  Volatility  and  shock  interactions  and  risk  management implications: Evidence from the US and frontier markets. Emerging Markets Review, 37, 181-198.
- Presbitero, A., Ghura, M. D., Adedeji, M. O., & Njie, L. (2015). International sovereign bonds by emerging markets and developing economies: Drivers of issuance and spreads (IMF Working Paper WP/15/275). International Monetary Fund.
- Quisenberry, C. (2010). Exploring the frontier emerging equity markets. CFA Institute.
- Samarakoon, L. P. (2011). Stock market interdependence, contagion, and the US financial crisis: The case of emerging and frontier markets. Journal of International Financial Markets, Institutions and Money, 21(5), 724-742.
- Seth, N., & Singhania, M. (2019). Volatility in frontier markets: A multivariate GARCH analysis. Journal of Advances in Management Research, 16(3), 294-312.
- Speidell, L. S., & Krohne, A. (2007). The case for frontier equity markets. The Journal of Investing, 16(3), 12-22.

### Role of this content unit within the working paper
- Provides cited literature and references relevant to analysis of frontier market growth, volatility, shock transmission, sovereign bond issuance, and equity market characteristics.
- Supports methodological and empirical approaches referenced elsewhere in the Working Paper No. WP/2026/140.

*International Monetary Fund — Frontier Markets: Analyzing Drivers of Market Growth and Sovereign Risks (Working Paper No. WP/2026/140).*

---


_Source: https://www.imf.org/-/media/files/publications/wp/2026/english/wpiea2026140-source-pdf.pdf_