The Italian economy has stagnated over the last two years. Since the end of 2017, GDP growth has barely budged (0.2% increase) while industrial production has contracted by 5.2%. According to analysts surveyed by FactSet, government debt is projected to jump to 136% of GDP for 2019 and to continue rising. However, while the FTSE MIB—the benchmark stock market index for the Borsa Italiana—saw a negative total return of -13.22% in 2018, the index rebounded in 2019 with a total return of 33.8%. Is the riskiness of investing in Italy being adequately reflected in market returns?
This brings us to a discussion about the equity risk premium (ERP). The equity risk premium is usually defined as the excess return compensating investors for taking on the relatively higher risk of equity investing. According to Aswath Damodaran, who is considered one of the most important theorists of the ERP, there are three main methods to estimate the ERP: historical approach, survey approach, and implied premium approach.
In this analysis, I used the implied premium approach to create a table of the current ERPs for key countries and areas around the world, analyzing trends and detecting eventual patterns. The implied equity risk premium seems the most appropriate model as it is more reactive to new information collected by the market. In fact, research has shown the implied equity risk premium at the end of the prior period was the best predictor of the implied equity risk premium in the next period, whereas historical risk premiums performed the worst.
Variables required for implied premium approach:
I focused my analysis on the G7 countries (Canada, France, Germany, Italy, Japan, UK, and U.S.) plus China and two country aggregates—the Eurozone and emerging markets. Using 2006-2019 data from the FactSet Market Indices database, I pulled monthly market capitalization from each index’s constituents as well as rolling estimates for dividend and buyback yields for the first, second, and third year not reported. This allowed me to calculate the estimated three-year average yield.
For the long-term growth rate, I used the 120-month moving average of year-over-year GDP growth. This approach overcomes the bias of negative interest rates on sovereigns and ensures stability over time. However, Japan’s negative GDP growth rates conflict with this model; therefore, I used Japan’s 30-year sovereign bond yield as a proxy for the long-term growth rate.
Country / Area |
Avg Yield Next 3 Yrs |
Growth |
Risk-free rate |
Implied Cost of Equity |
Equity Risk Premium 2019 |
Equity Risk Premium 2018 |
Canada |
3.31 |
3.91 |
1.70 |
7.21 |
5.51 |
4.73 |
China |
2.00 |
6.65 |
1.28 |
8.63 |
7.35 |
8.99 |
France |
3.07 |
2.24 |
-0.19 |
5.35 |
5.54 |
5.23 |
Germany |
2.97 |
1.97 |
-0.19 |
5.03 |
5.22 |
5.04 |
Italy |
4.22 |
1.42 |
-0.19 |
5.71 |
5.90 |
9.56 |
Japan |
2.39 |
0.41 |
-0.02 |
2.90 |
2.92 |
3.48 |
UK |
4.11 |
3.65 |
0.82 |
7.57 |
6.75 |
6.34 |
United States |
3.78 |
4.00 |
1.92 |
7.51 |
5.60 |
5.32 |
Emerging Markets |
2.98 |
6.72 |
2.20 |
9.61 |
7.40 |
7.23 |
Eurozone |
3.27 |
2.42 |
0.83 |
5.71 |
4.88 |
4.84 |
Source: FactSet
My main finding was the dramatic fall of the ERP on the Italian market; between December 2018 and December 2019, the ERP fell from 9.56% to 5.90%. This is the largest movement in either direction across the countries and areas analyzed. Some geographies showed little change compared to one year ago (Germany, France, Eurozone, and emerging markets). The ERPs for China and Japan are considerably lower than 12 months ago, while those of the U.S. and Canada increased in 2019.
2019, the Italian Case
2019 may be remembered as the umpteenth salvation year for the Italian markets (after 2008, 2011, and 2016 in the last 15 years). As of December 31, 2018, the Italian ERP stood at 9.56%, the spread of the 10-year treasury bond vs. Germany was 250bps, the FTSE MIB closed 2018 with a disappointing performance of -13.22% (underperforming most European countries), and Moody’s downgraded Italy from Baa2 to Baa3. The scenario was depressing.
Twelve months later, the situation had changed substantially. At the end of 2019, the Italian ERP stood at 5.90%, below its 14-year average (6.38%), the 10-year spread over German bond yields has fallen below 200bps, the FTSE MIB increased by nearly 30% (its best performance since 1998), and CDS have stabilized. However, Italy’s key macro indicators do not justify this reversal. GDP growth is nonexistent, industrial production is falling, the manufacturing sector is contracting, and government debt continues to increase.
So, where is the truth? Is Italy a patient that has been cured by the European Central Bank’s “therapy” or was 2019 the year of the big illusion? There is no easy answer.
The ERP suggests a growing dichotomy between financial markets and the macroeconomic data. On one hand, Italy largely benefited from the 2019 “risk-on” environment affecting the ERP determinants. On the other hand, Italy’s historically high ERP volatility appears to provide a warning, as indicated by the macroeconomic data. Looking at the ERP over time, the current value is closer to the historical average than the value observed one year ago, but the real question is, how long until the next turmoil?
Sara B. Potter, CFA, also contributed to this article.