Video summary
Country Risk: Determinants, Measures and Implications - The 2026 Edition
Main summary
Key takeaways
Core message
- Country risk varies materially across countries and cannot be diversified away in modern global markets (correlations rise, especially during crises).
- Therefore, country risk should be incorporated into discount rates/hurdle rates and company valuations rather than relying on country of incorporation or assuming that “global diversification fixes it.”
When/How the updates are made (coverage and timing)
- Data/topic updates are performed annually:
- March (since 2009): paper update on equity risk premiums
- July (every year): update on country risk
- Regular datasets are updated on the first five days of every year.
- The “2026 edition” refers to the latest country risk update available, with timing references including:
- start of July 2026
- mid-2025
Why country risk matters (and why earlier assumptions fail)
Assumption 1: “If you analyze US companies, you avoid country risk”
- Rebuttal: even “developed-market” companies can have large revenue exposure to risky markets.
- Examples mentioned: Coca-Cola, Nestlé.
Assumption 2: “Country risk can be diversified away”
- Rebuttal: correlations across countries increased with globalization; during crises markets move together.
- Conclusion: country risk is not diversifiable.
Main determinants of country risk (4 factors)
The speaker attributes differences in country risk to four core country-level drivers:
-
Political structure
- Whether regimes are democratic vs authoritarian
- Trend cited:
- Only ~7% of the global population (end of 2025) lived in purely democratic parts of the world; ~93% lived under some authoritarian variation.
- Business trade-off:
- Democracies: risk tends to be continuous (policy/regulation changes as governments change).
- Authoritarian regimes: risk is more discrete, but when it hits it is more likely catastrophic.
-
Corruption
- Measured via Transparency International corruption scoring.
- Treated as an implicit tax on operating costs (including possible inability to deduct “corruption costs”).
- The speaker argues corruption is driven more by:
- how well bureaucrats are paid
- perceived rule-following by leadership
-
Exposure to violence
- Measured via a “Vision of Humanity” peace/violence index.
- Business impact:
- increased insurance/security spending
- reduced margins/profitability
-
Legal systems (property rights + contract enforcement)
- Emphasis on timeliness of enforcement.
- Example: a court taking ~35 years to rule is almost as damaging as an arbitrary/capricious court.
Climate risk (explicit treatment)
- Climate change is not front and center in the country risk framework because:
- exposure appears broad across countries (index suggests most places are exposed)
- it hasn’t yet shown up in company profitability in a tangible enough way to materially change country risk
- The speaker plans to track annually and incorporate it later if it becomes financially material.
How country risk gets “priced” (sovereign default risk)
- Country risk shows up most directly in sovereign bond/debt markets, because lenders focus on default risk.
Sovereign default dynamics
- Default frequency:
- defaults soared in the 1980s/1990s
- declined in the 2000s onward but remains substantial
- Default type:
- the share of defaults on sovereign bonds is higher now than on loans (loans are more bank-like)
Local-currency debt is not “default-free”
- Even in government own currency, defaults can occur due to:
- choosing between printing money → inflation soars
- or defaulting to avoid hyperinflation
- Therefore, local-currency nominal rates do not eliminate sovereign default risk.
Geographic pattern (example timing: end of 2023)
- Historically, Latin America has been described as the epicenter of sovereign default.
- By end of 2023, defaults appear across:
- Asia
- parts of Europe, including eastern Europe and Russia
Measures of sovereign default risk (and related instruments)
1) Sovereign credit ratings (S&P / Moody’s / Fitch)
- Pros: widely accessible.
- Concern: potential delay (not necessarily large systematic bias).
- Coverage limitations:
- “Frontier markets” sometimes have no ratings (examples: Syria, Afghanistan, North Korea).
- Russia sovereign rating was withdrawn.
2) Market-based sovereign CDS spreads (default insurance)
- Uses sovereign CDS as a market-implied default spread.
- CDS availability:
- only about ~80 countries
- “about half the world” lacks sovereign CDS spreads
- Intended role: a second cross-check against ratings.
- CDS-based sovereign spreads are reported as of start of July 2026.
Disclosure/caution implied: ratings are often distrusted, but the speaker argues they’re “pretty good in aggregate,” with delay being the bigger issue.
Composite country risk scores (PRS vs. Economist) — why hard to use directly
- Referenced composite risk services:
- PRS (Political Risk Services)
- The Economist country risk service
- Major problem: idiosyncratic construction and directionality
- Economist: low = safe, high = risky
- PRS: opposite direction
- Different factor weightings can yield contradictory outputs for the same country.
Example: with PRS, the US is described as “riskier than it used to be,” potentially even riskier than Ghana—illustrating that “numbers you can pick and choose.”
Step-by-step framework: building equity risk premiums by country
A) Start with a “mature market” equity risk premium (S&P 500 implied return)
- The speaker estimates an implied equity risk premium for the S&P 500 using a cash-flow/discounting approach:
- S&P 500 level at close of trading on June 30, 2026: ~7500
- Cash flows: dividends + buybacks
- Forecast horizon: next five years
- Terminal growth (year 6): grows at the economy’s nominal growth rate, proxied by the T-bond rate
- Solve discount rate so PV(expected cash flows) = index level
- Result:
- implied investor-required return / discount rate: IRR ~ 8.65%
B) Convert to an equity risk premium (adjusting “risk-free” for US default risk)
- Use US Treasury nominal rate proxy, but adjust because:
- Moody’s downgraded the US from AAA to Double-A1 in mid-2025
- Default spread cited:
- for Double-A1: “~2%” (contextually)
- Resulting “risk-free” rate (US dollars, adjusted):
- 4.23%
- Implied equity risk premium:
- ~4.2% using unadjusted T-bond
- ~4.42% using risk-adjusted risk-free rate
- Decision rule:
- Mature market premium = 4.2%
- US equity risk premium = 4.42%
C) Add country-specific risk premium using sovereign default spreads
- For rated countries:
- If country is AAA rated:
- equity risk premium assigned: 4.2%
- If not AAA:
- use sovereign default spread by rating
- adjust for equity vs bond volatility/risk:
- equity risk is higher than bond risk
- estimate ratio from 5 years of data:
- stdev(emerging equities) / stdev(emerging sovereign bonds) = 1.55
- Convert default spread to equity add-on:
- Country equity add-on = default spread × 1.55
- If country is AAA rated:
- Total country equity risk premium:
- 4.2% + (default spread × 1.55)
Example (explicit):
- If default spread = 2%:
- equity add-on = 2% × 1.55 = 3.1%
- equity risk premium = 4.2% + 3.1%
D) For unrated countries: extrapolate using PRS scores
- For ~20 countries with no ratings:
- use PRS
- find similarly scored rated countries
- extrapolate an equity risk range (explicitly acknowledged as stretching)
E) Timeline/correction disclaimer
- Two weeks earlier, an earlier version had different numbers.
- Reason: not fully corrected default spreads at that time.
- Presented as “final numbers” until next update:
- next update: January 2027
Key output numbers (as stated)
- S&P 500 implied discount/required return: ~8.65%
- US equity risk premium: 4.42%
- Mature market premium: 4.2%
- AAA countries’ assigned equity risk premium: 4.2%
- Equity-vs-bond scaling factor:
- 1.55
- US adjusted risk-free component:
- adjusted “risk-free” rate: 4.23% (after accounting for default spread)
How country risk affects company valuation (recommendation/caution)
1) Use a country “life cycle” narrative (how much emphasis matters)
- Framework: countries progress through growth → maturity → decline
- Valuation narrative implication:
- riskier/declining countries should dominate the company story
- mature countries fade into the background
- Examples:
- Venezuela: country story dominates.
- Even large emerging markets like Brazil/India: embed country story.
- Germany example:
- German company valuations often need less emphasis on a “Germany” narrative.
2) Don’t default to country of incorporation for equity risk
- Speaker calls this practice “amazing” and “shocked” by how common it is.
- Reason: risk exposure comes from revenues/operations.
- Examples used:
- Coca-Cola: may have ~60% revenues outside US
- Infosys: may have ~90% revenues outside India
- Evidence cited across indices/fund/investment universes:
- FTSE, Nikkei, S&P index/funds, Sensex (revenue often comes from outside the domestic market)
3) Weight risk by where operations come from (depends on business type)
- Suggested mapping:
- Consumer products: weight by revenues
- Natural resources: weight by production/source location
- Manufacturing/mixed: use a mix of revenues and production
4) Hurdle rates must vary by country and business unit
- Example structure:
- Project in India:
- risk-free rate tied to currency
- beta tied to business type
- equity risk premium tied to India equity risk
- Project in Hungary:
- use Hungarian equity risk premium
- plus the appropriate asset/business beta (example referenced: “G aircraft project in Hungary”)
- Project in India:
- Result: multinationals require more complex hurdle-rate construction, but it’s more realistic.
Currency: a measurement device, not the driver
- Currency is treated as reflecting underlying country risk, not causing it.
- Risk-free rates are currency-specific; the speaker builds them by:
- taking local-currency government bond yields
- subtracting the default spread
- Explicit numeric example (Turkey):
- Turkish lira “risk-free” cited around ~20%, leading to hurdle rates around 28–30%
- If valued in euros, risk-free starts around ~3% (German euro bond rate)
- With consistent currency treatment, NPV/value should be invariant to currency choice.
- Currency consistency principle:
- discount rate currency must match cash flow currency
- high-inflation currencies raise both:
- discount rates
- cash flow growth rates
- therefore, NPV/value stays consistent under consistent assumptions.
- Currency pegs:
- can be trusted only if expected inflation is similar between peg currency and base currency.
Disclosures / cautions mentioned
- The speaker states the work is a work in progress and that he may “get things wrong” and invite correction.
- No explicit “not financial advice” line appears in the provided subtitles.
Instruments / entities mentioned
Financial benchmarks and market inputs
- S&P 500
- T-bond / US Treasury bond rate proxy
- Sovereign CDS (credit default swaps for sovereigns)
Ratings agencies
- S&P
- Moody’s
- Fitch
Examples (countries/markets/indices)
- Countries referenced: Nigeria, Germany, Afghanistan, Russia, Latin America, Egypt (mention of Egyptian pounds), Turkey, Kenya (Kenyan shilling), Switzerland, US, Brazil, India (and others as context)
- Indices/families referenced: FTSE, Nikkei, Sensex
- Companies referenced: Coca-Cola, Nestlé, Zomato, Infosys (no tickers provided)
Presenters / sources referenced
- Presenter/author: the primary speaker (unnamed in the subtitles), who publishes annual equity risk premium and country risk updates.
- Referenced external sources/indices:
- The Economist (democracy/autocracy measures; also political risk composite service)
- Transparency International (corruption)
- Vision of Humanity (peace/violence)
- Property Rights Alliance (property rights protection)
- PRS (Political Risk Services)
- S&P / Moody’s / Fitch (sovereign ratings)
- Sovereign CDS market pricing (market-based default spread input)
- Indices: S&P 500, FTSE, Nikkei, Sensex