Musings on Markets is the personal blog of Aswath Damodaran, professor of finance at NYU Stern and widely known as the "Dean of Valuation." Running since 2008, it publishes hands-on intrinsic-value teardowns of headline companies (SpaceX, Tesla, Nvidia) using his narrative-and-numbers DCF framework, plus periodic market-wide reviews.
This article explains that country risk—like political instability or economic crisis—can no longer be avoided by diversifying across countries, because markets crash together in bad times. Valuation expert Damodaran offers a practical method: turn a country's credit rating into a 'country equity risk premium' and add it to your required return. For example, when valuing a company with factories in India, you must factor in India's risk. It's worth a read because it gives a concrete formula, not just theory.
The author, Aswath Damodaran, emphasizes that country risk can no longer be eliminated through diversification, because global market correlations rise significantly during crises. He points out that, due to globalization, both the revenue side (e.g., technology companies with high overseas revenue
Country risk can no longer be diversified away. Investors and corporations must confront it, not ignore it.
The author argues that the conventional view—that country risk can be diversified through global investing—has been disproven by reality. This is especially evident during the global financial crisis, when correlations among global equity markets rose sharply, causing risks to erupt in a concentrated manner. The key divergence from market consensus is that many still view overseas investment as a "diversification tool," but the author contends that its true nature is "greed chasing higher returns," and that risk exposure has permeated the revenue and cost sides of virtually all enterprises under globalization.
The author uses global index data and the revenue structures of multinational corporations to demonstrate that country risk is ubiquitous.
Theme: Analysis of country risk drivers; Companies: No specific companies are named, but industry classifications are used as examples.
Investors must incorporate country risk as a core variable into valuation and investment decisions, rather than treating it as a diversifiable external factor.
Country risk (especially sovereign default risk) lacks a unified, quantifiable analytical framework, yet it is an unavoidable key variable in corporate valuation (particularly for multinational corporations and emerging market companies).
The author, Aswath Damodaran, argues that existing rating agencies, political risk scores, and the CDS market all have flaws—whether lagging reactions, limited coverage, or difficulty translating directly into input parameters in financial models. He advocates using the "Country Equity Risk Premium" method to convert sovereign ratings into a standardized adjustment factor for the cost of equity, thereby incorporating country risk directly into valuation.
The author builds the evidence chain through four dimensions: historical data, rating coverage, market instrument coverage, and his own methodology. Key data are as follows:
1. Historical trend of sovereign defaults: Default rates surged in the 1980s-1990s, declined overall after the 21st century, but shifted from loan defaults to bond defaults. Notably, a significant portion of sovereign defaults each year are "local currency defaults," indicating that some countries consider the cost of default lower than the cost of inflation.
2. Sovereign ratings and CDS market coverage:
3. Prominent issues with political risk scores: Taking PRS (Political Risk Services Group) and EIU (Economist Intelligence Unit) as examples, their scoring systems have three fundamental flaws:
| Risk Measurement Tool | Coverage | Core Flaw | Author's Assessment |
|---|---|---|---|
| Sovereign Ratings | Nearly all countries | Slow to react to changes | "Does a good job, but moves too slowly" |
| Sovereign CDS Spreads | 84 countries | No data for lagging/frontier markets | Market-based alternative |
| Political Risk Scores | Multiple countries | Inconsistent scoring systems, contradictory results, difficult to financialize | Three fundamental problems |
| Country Equity Risk Premium | All countries (estimated via ratings or scores) | Dependent on rating and score quality | Practical alternative |
4. Key data from the author's core methodology (as of July 1, 2026):
This article does not directly name specific companies but focuses on the investment theme of "country risk," analyzing its impact on companies at different stages.
Excerpt from the original text (the sentence that best represents the author's core judgment on "company exposure"):
> "When looking at an individual company, I believe that country risk exposure comes less from where the company is incorporated and more from where it operates."
The actionable implication of this viewpoint for investors is: when making cross-border investments or valuing emerging markets, one should not simply rely on sovereign ratings or political risk scores. Instead, the author's proposed "Country Equity Risk Premium" method should be used to quantify country risk into a specific adjustment to the cost of equity.
Country risk cannot be diversified away, and all companies (whether domestic or multinational) must incorporate it into their valuations.
The article's core judgment is that globalization has led to nearly all companies exposing their revenues or production to non-domestic markets, making country risk universal. The author emphasizes that this risk cannot be hedged by holding a global portfolio because market correlations rise significantly during crises. This argument differs from market consensus: many analysts still treat country risk as an "emerging market-specific issue" or attempt to avoid it through diversification (e.g., investing in multinationals), while the author believes this risk is unavoidable for any analyst analyzing global companies and must be quantified into valuation models.
The author systematically demonstrates the universality and quantification methods of country risk through three levels: revenue source distribution, project decision cases, and currency mechanisms.
1. Global exposure of revenue sources: The author points out that in all indices, the constituent companies have a significant portion of revenue from outside their home markets. For technology companies, overseas revenue often exceeds half. The author suggests that a company's equity risk premium should reflect its overseas exposure, but the weighting of exposure should be adjusted by industry:
2. Country risk in capital budgeting decisions: Using Siemens as an example, the author illustrates that when a multinational company invests in projects in different countries, the project cost of equity must reflect both the beta of that business (e.g., home appliances vs. power tools) and the country risk of that country. For example:
3. Relationship between currency and risk-free rate: The author clearly distinguishes between country risk and currency risk. He believes that currency is merely a measurement tool and should not itself require a risk premium. The risk-free rate varies by currency (e.g., the risk-free rate for the Turkish lira exceeds 20%, while for the euro it is close to 3%), but by consistently using the same currency to estimate cash flows and discount rates, the conclusions should be consistent. The author also provides a method for estimating the risk-free rate: Risk-free rate = Base currency risk-free rate + (Local currency expected inflation - Base currency expected inflation). For example, if the USD risk-free rate is 4%, expected inflation is 2.5%, and Brazil's expected inflation is 10.5%, then the Brazilian real risk-free rate is approximately 12%.
The article specifically names Siemens as an analysis case and discusses multinational enterprises, technology companies, and emerging markets as core topics.
| Company/Topic | Role | Key Data | Author's Attitude |
|---|---|---|---|
| Siemens | Case study, used to illustrate how multinationals apply country risk when making project decisions in different countries. | India project (home appliance business), Hungary project (power tool project) | Neutral observation, used to demonstrate the application of the methodology. |
| Multinational Enterprises | Core analysis object, referring to companies whose revenues and production are exposed to global markets. | All index companies have significant overseas revenue. | Emphasizes that their country risk exposure cannot be ignored and must be quantified. |
| Technology Companies | Typical industry, due to their high proportion of overseas revenue. | Technology companies' overseas revenue typically exceeds half. | Warns of risk, believes their equity risk premium should reflect overseas exposure. |
| Emerging Markets (Turkey, India, Brazil) | Typical countries with high risk exposure. | Turkish lira risk-free rate >20%; Brazil expected inflation 10.5%. | Emphasizes that their country risk should be reflected separately in project or company valuations. |
Original excerpt (for Siemens case):
> “For a multinational operating in many businesses, the project cost of equity will have to then also reflect the business the project is in, in addition to country risk. Thus, the cost of equity for a Siemens Appliances for a project in India should reflect the beta for the appliance business, in addition to the country risk for India.”
Investors should stop treating country risk as a "diversifiable" factor and adopt a pragmatic approach to incorporate it into valuations and capital budgeting decisions.
1. Actionable direction: When analyzing any company, especially when evaluating its overseas revenue or production exposure, investors need to incorporate country risk (via sovereign credit ratings or equity risk premiums) into the cost of equity calculation. Specifically, first determine the main countries to which the company is exposed (revenue location or production location), then adjust the discount rate based on the country's risk. For cross-border projects, the country risk should be flexibly chosen based on the source of risk (production location or revenue location), rather than a one-size-fits-all approach.
2. Institutional perspective bias: The author Aswath Damodaran is an independent scholar. His methodology leans toward academic rigor, emphasizing "pragmatism" and "best guesses." His perspective may naturally favor quantitative models, believing that all risks can be calculated and priced. This stance may lead to limitations in quantifying qualitative factors (such as political stability, governance structure mutations), and his method relies on subjective judgments of macro variables like inflation expectations, which carries the risk of being used by institutions to justify "home bias" (i.e., adjusting parameters to rationalize existing investment decisions).