Explore nominal vs. real exchange rates, the Balassa-Samuelson effect, terms of trade, measurement challenges, and more, with practical vignettes and examples.
So, let me tell you a quick story. I was traveling abroad for the first time—let’s call it a few years back, fresh out of college. I was thrilled to see that my home currency exchanged for quite a lot of the local currency. “Wow,” I thought, “everything is going to be so cheap!” But then came the embarrassing moment: after buying some stuff at the local market, I realized that prices for basic items like groceries were actually not as cheap as the raw “exchange rate” made me think. Why was that? Well, I learned the hard way that what I was looking at was the nominal exchange rate—an incomplete picture because it doesn’t factor in how prices (inflation levels) differ across countries. The real story, as many budding economists quickly discover, hinges on the real exchange rate.
Below, we’ll dig deeper into how we measure real exchange rates, why they matter for a country’s trade competitiveness, and how different economic factors can push them around over the long haul. We’ll also explore some typical challenges in building real exchange rate indices and provide application-based vignettes that reflect typical exam and real-world scenarios. If you occasionally pause to say, “Um, so how does that concept apply to real-world trade deals?”—that is totally normal. The real exchange rate is a cornerstone concept for interpreting a country’s external competitiveness over time.
The nominal exchange rate is simply the quoted market price—how many units of one currency you need to buy one unit of another. For instance, if you see that one US dollar (USD) trades for 1.35 Canadian dollars (CAD), that’s your nominal USD/CAD exchange rate, or 1.35 CAD per 1 USD. It’s what you see posted on financial websites or currency exchange kiosks. But this nominal rate doesn’t look under the hood at what’s happening with relative inflation or price levels.
The real exchange rate, on the other hand, tries to capture how many units of a foreign basket of goods and services you can buy for one domestic basket, factoring in inflation or price-level changes in each country. Mathematically, you might say:
where
• \( E \) is the nominal exchange rate (often expressed in units of local currency per 1 unit of foreign currency),
• \( P^* \) is the price level abroad, and
• \( P \) is the price level at home.
If the real exchange rate is rising, it implies that foreign goods and services are becoming relatively cheaper for domestic residents—or that the domestic currency’s purchasing power is going up relative to foreign goods. Conversely, if it’s falling, foreign goods become relatively more expensive. So, from an economic competitiveness perspective, an appreciating real exchange rate can indicate that exports could start losing an edge, while a depreciating real exchange rate might boost export competitiveness (but can weigh on your ability to import cheaply).
Here’s a quick visual representation of how the real exchange rate factors in nominal rates and relative price levels:
flowchart LR A["Nominal Exchange <br/> Rate (E)"] B["Relative Price <br/> Levels (P*, P)"] C["Real Exchange Rate <br/> (RER = E × (P*/P))"] A --> C B --> C
From the perspective of a CFA® Level II candidate (and, frankly, any economist, policy maker, or multinational CFO), the real exchange rate can be a powerful gauge. It helps answer questions like: Are we losing competitiveness in global markets? Are our exports pricing themselves out of demand? Are foreign products suddenly too attractive, causing domestic businesses to struggle?
• Investment Decisions: Multinationals watch real exchange rates to decide where to build factories or source inputs.
• Portfolio Management: Currency-hedged returns often depend on real exchange rate shifts.
• Policy Analysis: Central banks and finance ministries monitor real exchange rates when they decide on interest rates, interventions, or capital controls.
So, while the nominal exchange rate might grab headlines, the real exchange rate is the subtle “truth teller” for cross-border competitiveness over the medium to long run.
Economists Balassa and Samuelson popularized the notion that countries with higher productivity growth, especially in the tradable goods sector, will see their real exchange rates appreciate over time. The logic is:
• Rapid productivity gains typically mean rising wages in the tradable sector without an equivalent rise in costs.
• Higher wages seep into the non-tradable sector too (people spend their higher income on domestic services).
• The overall price level for goods and services at home can increase faster than abroad.
• Hence, you get an appreciation of the real exchange rate.
This might initially sound contradictory if you think that higher productivity should mean cheaper exports. But the key is that wages across the board move up, lifting prices in sectors that are not export-competing. Over the long run, the real exchange rate ends up appreciating.
Terms of trade (ToT) measure the price of a country’s exports relative to its imports. Formally,
If a country experiences a favorable shift in its terms of trade—say, a rise in the price of its major export commodities relative to its imports—it gains purchasing power internationally. This can manifest as an appreciation of the real exchange rate because the country can afford more imports for every unit of export it sells. Conversely, a decline in terms of trade can pressure the real exchange rate downward.
You might see this dynamic in resource-rich countries: when commodity prices surge, their currencies often strengthen in real terms. However, if the commodity busts, the real exchange rate may tumble as export revenues fall.
Tariffs, quotas, and other frictions can artificially affect the real exchange rate. If a country erects high tariffs, for instance, it might temporarily protect domestic producers from import competition, potentially boosting domestic prices relative to world prices. That could lead to an overvalued real exchange rate. However, the long-run effects can be complicated: a sustained mismatch between the nominal exchange rate and the underlying competitive fundamentals can ultimately correct through inflation or changes in the nominal rate.
Another sneaky factor: non-tradable goods (like haircuts, local transportation, many domestic services). Because they’re predominantly consumed within the country and aren’t typically subject to global competition, their prices can be out of sync with global prices. Changes in wages or input costs in non-traded sectors can cause the domestic price level to shift. If the non-traded sector’s prices balloon relative to those abroad, the real exchange rate can appreciate—making it more expensive in real terms for foreigners to buy domestic goods and services overall.
One pressing question when constructing a real exchange rate index is: which price measure do we use? Common candidates include:
• Consumer Price Index (CPI),
• Producer Price Index (PPI),
• GDP deflator,
• Unit labor costs.
Each has pros and cons. CPI covers a broad basket of consumer goods, but might include more non-traded items than is ideal. PPI focuses on prices at the factory gate, which can better reflect external competitiveness but excludes many consumer services. The GDP deflator is more comprehensive, but it’s usually released less frequently. Meanwhile, unit labor costs capture labor-related productivity changes but may omit other cost components. The choice depends on your analytical objective—there’s no universal “best” measure.
It’s possible that country A reports inflation data monthly while country B does so quarterly. Or each country’s inflation measure has definitional quirks. Factor in occasional major revisions to inflation data, and you realize that building a consistent real exchange rate index across multiple countries can be quite the homework assignment. For exam purposes, understanding the trade-offs and sources of data inconsistency is vital.
Even when you gather consistent data, you may want to apply filters (like the Hodrick-Prescott filter) or seasonal adjustments to isolate longer-term trends. But each filter or smoothing technique might create new artifacts in the data. In advanced settings, economists build sophisticated time-series models to track underlying real exchange rate trends. On the exam, though, you’re more likely asked about the conceptual pitfalls or how changes in the underlying data might distort standard measures.
Let’s bridge the concept to practice with two short scenarios that highlight the interplay between nominal and real exchange rates.
Imagine Country X sees a major leap in manufacturing productivity thanks to adopting cutting-edge robotics. In theory, you’d expect goods from Country X to become cheaper in global markets—so maybe you expect the nominal exchange rate to adjust downward as foreign investors pile into the country’s newly competitive manufacturing sector. But at the same time, wages for these high-skilled robotics engineers surge, pulling up wages across the board as everything from local restaurants to real estate sees higher demand. Domestic prices, especially for services, increase. Despite the nominal exchange rate drifting slightly lower, the real exchange rate can remain stable or even appreciate because the higher domestic price level (fueled by wage growth) offsets any nominal exchange rate movements.
Country Y is a big oil exporter. Global crude prices skyrocket. Almost overnight, Country Y sees more money flow in from exports, improving its terms of trade. Foreign and local investors push up demand for Country Y’s currency, appreciating its nominal exchange rate. At the same time, local retailers might raise prices on imported goods since domestic demand is booming. The result? A strong appreciation in the real exchange rate. That can later hamper industries outside of the resource sector because their goods become more expensive relative to global competitors—a phenomenon sometimes referred to as “Dutch Disease.”
Below is a simple snippet showing how you might calculate and compare real exchange rates given different inflation (price) data, purely to give a sense of how you’d implement a quick model in practice. (In an exam context, obviously, you won’t bust out Python, but understanding logic behind the calculations is key.)
1# plus monthly CPI data for both domestic and foreign countries.
2
3import pandas as pd
4
5data = {
6 'Nominal_Exchange_Rate': [1.30, 1.32, 1.29, 1.31],
7 'CPI_Domestic': [100.0, 102.0, 102.5, 103.0],
8 'CPI_Foreign': [98.0, 98.2, 98.0, 97.5]
9}
10
11df = pd.DataFrame(data)
12
13# RER = E * (Price_foreign / Price_domestic)
14
15df['Real_Exchange_Rate'] = df['Nominal_Exchange_Rate'] * (df['CPI_Foreign'] / df['CPI_Domestic'])
16
17print(df)
You’d then be able to see how changes in nominal rates and price levels shape the real exchange rate over time.
• Always check if an exchange rate quote is direct or indirect (i.e., domestic currency per foreign currency vs. foreign currency per domestic currency). Mislabeling can throw off your entire real exchange calculation.
• When analyzing the impact of real exchange rate changes on trade, watch for time lags. Real trade flows don’t adjust overnight; they respond to persistent changes.
• Avoid oversimplifying. Changes in real exchange rates stem from multiple drivers—productivity, global commodity swings, monetary policy, you name it.
• Watch out for policy distortions. Large-scale government interventions (such as pegged exchange rates or capital controls) can cause short-term divergences between measured real exchange rates and fundamental competitiveness.
• Nominal Exchange Rate: The observed exchange rate quoted in the market, not adjusted for inflation differentials.
• Real Exchange Rate: The nominal rate adjusted for relative price levels; a measure of a currency’s purchasing power to buy foreign goods relative to domestic goods.
• Balassa-Samuelson Effect: The principle that higher productivity growth, especially in tradable sectors, leads to real exchange rate appreciation over time.
• Terms of Trade: The ratio of export prices to import prices, indicating how many imports a country can afford per unit of exports.
• Non-Tradeable Goods: Goods and services not typically exchanged internationally (due to transport costs, cultural factors, or regulations).
• Purchasing Power: The quantity or value of goods/services that a currency can buy.
• Krugman, P., & Obstfeld, M. (2021). International Economics: Theory and Policy (12th ed.). Pearson.
• Rogoff, K. (1996). “The Purchasing Power Parity Puzzle,” Journal of Economic Literature, 34(2), pp. 647–668.
• Clarify the currency quote format: On exams, item sets often provide the nominal exchange rate in either “domestic currency per foreign unit” or “foreign currency per domestic unit.” Make sure you’re consistent when applying the real exchange rate formula.
• Use the appropriate price index: If the vignette references CPI or PPI, align your formula accordingly.
• Watch time frames: Sometimes short-term data can be noisy or misrepresent the trend in real exchange rates.
• Link it to parity conditions: Real exchange rate analysis often intersects with purchasing power parity (PPP). Show how deviations from PPP can persist for extended periods.
• Manage your time: Real exchange rate questions can be loaded with data. Practice reading quickly but accurately, focusing on the key variables (nominal exchange rate, domestic price index, foreign price index).
Remember that you may have to integrate monetary policy, inflation forecasts, or trade policy changes into your interpretation of real exchange rates—this broader perspective is what Level II demands in the item set format.
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