Understanding Business Cycles: Explains The Phases of the Business Cycle and Typical Characteristics of Each Phase with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
Business cycles move in four main phases: expansion, peak, contraction (or recession), and trough. Let’s look at each one in more detail.
To visualize these phases, let’s use a simple diagram:
graph LR
A["Expansion"] --> B["Peak"]
B["Peak"] --> C["Contraction"]
C["Contraction"] --> D["Trough"]
D["Trough"] --> A["Expansion"]
Credit cycles often run alongside (but not always in perfect lockstep with) business cycles. Credit conditions refer to how easy or hard it is to borrow money. When credit is cheap and accessible—like low interest rates and broad lending—consumers and businesses can borrow more freely, fueling expansion. You might hear phrases like “credit boom,” during which new loans help drive up spending on homes, cars, business equipment, and more.
Of course, central banks and financial institutions can tighten credit when they see overheating in the economy or rising inflation threats. Higher interest rates and stricter lending conditions can slow things down, making borrowing more expensive. The result: a downward pressure on spending and, in some cases, a deeper or faster move from expansion to contraction.
Sometimes people forget that credit conditions can influence how strong or weak each phase of the business cycle turns out to be. A short story: a friend of mine was itching to buy a new house right at the end of a big credit boom. Rates started creeping upward, and banks got picky about who they’d lend to. By the time my friend was ready, he discovered that his mortgage interest rate was higher than it would have been just a few months earlier, effectively shrinking his budget. That’s the credit cycle in action.
One of the trickier things about business cycles is figuring out where we are right now and where we might be heading. That’s where economic indicators come into play. While no one has a perfect crystal ball, data can guide us.
Leading Indicators: These stats tend to change before the broader economy does. Examples include building permits, new orders for manufacturing, stock market indices, and some forms of consumer sentiment. If new building permits plummet, that might signal a future downturn in the construction sector.
Coincident Indicators: These indicators move roughly in step with the economy’s current health. Real GDP, employment figures, and personal income are common coincident measures. If GDP is going up, you can guess that the economy is generally doing well at that moment.
Lagging Indicators: These lag behind the overall economic changes. Think of the unemployment rate—often, it continues to go up several months into an expansion because businesses remain cautious about hiring until they’re sure the recovery is stable. Other lagging indicators might include corporate profits relative to previous capital expenditures.
To see how these indicators can help identify each phase, let’s imagine your local economy. Suppose you notice that local businesses have begun ordering fewer supplies and cutting back hours. These signs may appear before an actual dip in quarterly GDP data arrives. By the time official GDP stats confirm a contraction (coincident indicator), it’s already happening. Later, you might see an uptick in unemployment (a lagging indicator) that confirms the recession is truly under way or has been for a while.
Throughout each business cycle phase, the use of resources—like labor, manufacturing capacity, and inventories—ebbs and flows.
Labor Utilization: During expansions, businesses hire more workers, which can push unemployment lower. In a contraction, firms often cut hours or lay people off. At the trough, unemployment can peak just before the next expansion starts.
Capacity Utilization: This measures how fully firms are using their resources. If factories are operating at near-full capacity, that typically indicates strong demand (often seen toward the latter part of an expansion, right near the peak). During a contraction, many facilities run below capacity.
Inventory Management: If businesses expect future demand to be high, they might build up inventories in anticipation. But if those demand forecasts prove overly optimistic, managers get stuck with excess stock, which they have to discount or reduce, further contributing to a slowdown in production.
Throughout the business cycle, certain sectors show more dramatic swings than others. Consumer spending, for instance, often remains somewhat resilient in mild recessions—especially for necessities—but can still be affected if job losses mount. Big-ticket goods that rely on financing, like cars or appliances, might drop off quickly if borrowing conditions worsen.
Business investment can be quite sensitive to the economic environment. When the economy’s humming and credit is cheap, companies ramp up capital expenditures. But when a slowdown looms, CFOs get cautious, cut back on new projects, and wait to see clearer signs of recovery.
The housing sector is famously cyclical. In expansions (especially with low interest rates and easy mortgage access), housing booms can occur. Prices climb, new construction flourishes, and real estate agents are busy. Then, as the cycle shifts and credit conditions tighten, demand cools off, prices may plateau (or fall), and new construction slows. This was particularly evident in the global financial crisis of 2008–2009, when a major housing bubble burst, triggering a widespread downturn.
Economic activity typically doesn’t happen in a vacuum—most nations are tied together through trade. Expansions can mean increased imports because households and businesses have more disposable income for foreign goods. This can widen a trade deficit if exports don’t keep pace. On the flip side, during contraction phases, imports may shrink as domestic demand weakens, potentially improving the trade balance if exports remain steady.
In some cases, a booming economy can lead to stronger local currency valuations, making exports less competitive abroad. Conversely, in recessions, the local currency might depreciate, which can spur export growth. None of these effects guarantees a particular outcome, but trade balances do tend to shift in tandem with domestic demand and currency movements.
Let’s piece it all together with a hypothetical scenario that maybe some of us can relate to:
That’s the cyclical nature of business in action—expansion, peak, contraction, trough, and then the cycle restarts.
Be Flexible With Forecasts: It’s crucial to remember that business cycle timing is notoriously tricky. No set length or uniform pattern exists. Relying on a single indicator can be misleading.
Keep an Eye on Credit Markets: Rapid changes in interest rates or credit standards might accelerate a downturn or fuel an overextended expansion. Don’t overlook them.
Diversify Risk: Whether running a business or managing a portfolio, cycle shifts can catch you off guard. Diversifying across different regions, industries, and asset classes can help.
Avoid Emotional Traps: In a peak environment, people tend to get overconfident. In a trough, despair can take over. Maintaining a balanced perspective can help you avoid poor decisions driven by herd behavior.
Below is a simple illustration of how different indicators might align with each stage of the cycle:
flowchart TB
A["Leading Indicators <br/> (e.g., New Orders, Building Permits)"] --> B["Coincident Indicators <br/> (e.g., Real GDP, Employment)"]
B --> C["Lagging Indicators <br/> (e.g., Unemployment Rate, Corporate Profits)"]
Even if these categories often overlap in the real world, the chart might remind you that some data points give us a clue early, some right on time, and others only after we’ve already progressed to the next phase.
Business cycles matter to everyone—entrepreneurs, employees, investors, and policy makers alike. The cycle’s ups and downs shape everything from whether you get that house loan to how soon your favorite coffee shop expands. By staying tuned to credit conditions, analyzing leading/coincident/lagging indicators, and paying attention to broader patterns in resources and trade, we can gain valuable insights into where the economy is headed and how to act accordingly.
Remember that each cycle is distinct, shaped by factors like innovation, global events, policy decisions, and psychological swings in consumer and business sentiment. In my opinion, maintaining a healthy dose of skepticism—without getting too pessimistic—helps you navigate these cycles with a clear head.
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