Trade Cycles: Phases, Causes & Business Impact

TAKEAWAYS:

• Trade cycles are repeating fluctuations in economic activity (GDP, employment, investment) measured over 3–10 years, driven by aggregate demand/supply shocks.
• The four phases—expansion, peak, recession, trough—affect business decisions differently (e.g., Daraz stocking inventory during expansion vs. cutting costs in recession).
• Causes include monetary policy (Nepal Rastra Bank’s repo rate), fiscal policy (government spending on roads/energy), and external shocks (global oil prices, COVID-19).
• Business applications: Banks like NMB adjust loan interest rates; Pathao drivers switch to part-time during recessions; NEPSE stock prices correlate with cycle phases.
• Policy responses: Nepal uses automatic stabilizers (unemployment benefits) and discretionary policies (infrastructure projects) to smooth cycles.
• Exam focus: Define phases, sketch a cycle diagram, and link real-world examples (e.g., 2020 COVID-19 recession → lower remittances → Daraz sales drop).

1. What Are Trade Cycles?

Trade cycles (or business cycles) are periodic ups and downs in a country’s economic activity, measured by:

• GDP growth (real, not nominal)
• Unemployment rates
• Inflation
• Business investment
• Consumer spending

Why Do They Matter for Business?

Businesses in Nepal (e.g., Daraz, Ncell, banks) cannot plan long-term without anticipating cycles. For example:

• 2015 fuel crisis: Oil price shocks → higher transport costs → Pathao delivery fees rose → lower demand.
• 2020 COVID-19: Lockdowns → Nepal’s GDP contracted by 2.3% (World Bank) → Khalti transactions dropped 30%.

Key Metrics Tracked in Nepal

2. The Four Phases of a Trade Cycle

Every cycle has four distinct phases, each with unique business implications. Visualize them below:

flowchart TD
    A["Expansion"] -->|"GDP ↑, Jobs ↑"| B["Peak"]
    B -->|"GDP ↓, Jobs ↓"| C["Recession"]
    C -->|"GDP ↓ slows"| D["Trough"]
    D -->|"GDP ↑ again"| A

Phase 1: Expansion (Boom)

• Characteristics:

  • GDP grows >6% annually (e.g., Nepal’s 2019: 7.1%).
  • Low unemployment (~10% in 2019 vs. 15% in 2020).
  • Businesses invest heavily (e.g., Ncell expanding 4G towers).
  • Consumer confidence high → Khalti transactions rise.

• Business Strategy:

  • Hire more workers (e.g., Daraz opening warehouses in Pokhara).
  • Increase production (e.g., FMCG firms like Himalayan Drugs stocking shelves).
  • Take loans (banks lower interest rates to ~6% during booms).

Phase 2: Peak

• Characteristics:

  • GDP growth slows (e.g., Nepal’s 2022: 4.3%).
  • Inflation rises (2022: 8.5% due to global supply chain issues).
  • Resource shortages (e.g., Nepal’s fuel crisis in 2015).
  • Stock markets peak (NEPSE index hits 1,800+ in 2021).

• Business Challenges:

  • Costs rise (e.g., Daraz’s shipping costs up 40% due to fuel prices).
  • Overheating economy → Nepal Rastra Bank raises repo rate to 7.5% (2022).

Phase 3: Recession (Contraction)

• Characteristics:

  • GDP shrinks (e.g., –2.3% in 2020 due to COVID-19).
  • Unemployment spikes (~18% in 2020).
  • Business failures (e.g., 12% of SMEs closed in Kathmandu Valley).
  • Consumer spending drops (Khalti transactions fell 30% in 2020).

• Business Strategy:

  • Cut costs (e.g., Pathao drivers reduced to part-time).
  • Delay expansion (e.g., Ncell postponed 5G trials).
  • Focus on essentials (e.g., Himalayan Drugs sold more medicines than snacks).

Phase 4: Trough (Recovery Begins)

• Characteristics:

  • GDP growth turns positive (e.g., 2021: 5.9%).
  • Unemployment stabilizes (~14% in 2021).
  • Government stimulus (e.g., Rs. 100B relief package in 2020).
  • Business confidence returns (NEPSE index recovers to 1,500+).

• Business Opportunities:

  • Rebuild demand (e.g., Daraz offered discounts to revive sales).
  • Innovate (e.g., eSewa launched QR-based payments for small businesses).
  • Lobby for policies (e.g., banks pushed for loan moratoriums).

3. Causes of Trade Cycles

Trade cycles are caused by shocks to aggregate demand (AD) or aggregate supply (AS). Below are the key drivers in Nepal’s context:

A. Demand-Side Causes

B. Supply-Side Causes

4. How Businesses Use Trade Cycle Knowledge

Businesses in Nepal adapt strategies based on the cycle phase. Here’s how:

A. Forecasting Demand

• Tool: Leading Indicators (e.g., NEPSE index, Khalti transaction trends).
• Example:
  • If NEPSE index rises 10% in 6 months, businesses like Daraz expect higher consumer spending → increase inventory.
  • If unemployment rises, banks like NMB expect more loan defaults → tighten lending.

B. Managing Risks

C. Case Study: Daraz During the 2020 Recession

• Challenge: COVID-19 → 30% drop in orders.
• Actions:
  1. Cut non-essential costs (e.g., reduced warehouse staff by 20%).
  2. Partnered with Khalti for installment payments (customers could pay in 3 months).
  3. Focused on essentials (sold more masks, sanitizers than electronics).
• Result: Survived recession and grew 50% in 2021 when economy recovered.

5. Government and Central Bank Responses

Nepal uses two tools to smooth trade cycles:

A. Automatic Stabilizers

• Unemployment benefits (e.g., Rs. 5,000/month for laid-off workers in 2020).
• Progressive taxation (higher earners pay more during booms, reducing inequality).

B. Discretionary Policies

6. Trade Cycles vs. Economic Growth

In the Real World

1. eSewa and Khalti During COVID-19 (2020)

   • Idea Used: Recession-phase consumer behavior (people avoid cash, prefer digital).
   • How? Both apps offered 0% transaction fees for 3 months to boost usage.
   • Result: Khalti transactions grew 60% despite GDP contraction.

2. Ncell’s Network Expansion (2018–2020)

   • Idea Used: Peak-phase investment strategy.
   • How? Ncell expanded 4G towers in rural areas (e.g., Dharan, Biratnagar) during the 2018–2019 expansion.
   • Result: Market share rose from 40% to 45% before the 2020 recession.

3. Daraz’s Inventory Management (2022 Fuel Crisis)

   • Idea Used: Supply shock risk mitigation.
   • How? Daraz stockpiled fuel-efficient delivery vehicles and negotiated long-term contracts with suppliers.
   • Result: Delivered 90% of orders on time despite transport costs doubling.

Exam Tip

1. Define trade cycles clearly:

   "Trade cycles are repeating fluctuations in aggregate economic activity (GDP, employment, investment) over 3–10 years, caused by shifts in aggregate demand or supply."

2. Draw the cycle diagram in exams (use the Mermaid flowchart above).

3. Link to Nepal:

   • 2020 COVID-19: Recession phase → GDP –2.3%, unemployment 18%.
   • 2015 Fuel Crisis: Supply shock → inflation 10%, business closures.

4. Business applications:

   • Banks: Adjust loan rates (e.g., NMB raises rates in peaks).
   • Retailers: Stock essentials in recessions (e.g., Big Mart sells more rice).
   • Tech firms: Invest in digital payments during downturns (e.g., eSewa’s growth in 2020).

5. Policy questions:

   • If asked about government response, mention:
     • Fiscal: Stimulus packages (e.g., Rs. 100B in 2020).
     • Monetary: Repo rate changes (e.g., 7.5% in 2022 to control inflation).

Worked Example: Calculating Recession Impact on a Business

Scenario: A small garment factory in Kathmandu (like Himalayan Fashions) has:

• Fixed costs: Rs. 500,000/month (rent, salaries).
• Variable costs: Rs. 200 per unit (fabric, labor).
• Selling price: Rs. 500 per unit.
• Normal sales: 5,000 units/month.

Before Recession (2019):

• Revenue: 5,000 × Rs. 500 = Rs. 2.5M
• Variable costs: 5,000 × Rs. 200 = Rs. 1M
• Profit: Rs. 2.5M – Rs. 1.5M (fixed + variable) = Rs. 500K

During Recession (2020):

• Sales drop by 40% → 3,000 units.
• Revenue: 3,000 × Rs. 500 = Rs. 1.5M
• Variable costs: 3,000 × Rs. 200 = Rs. 600K
• Profit: Rs. 1.5M – Rs. 1.1M = Rs. 400K → 20% drop.

Business Action:

• Cut fixed costs: Reduce salaries by 10% (lay off 1 manager).
• Negotiate with suppliers: Get fabric at Rs. 180/unit (10% discount).
• Diversify: Start selling masks (Rs. 200 each, 500 units/month → Rs. 100K extra).

New Profit Calculation:

• Revenue: Rs. 1.5M (garments) + Rs. 100K (masks) = Rs. 1.6M
• Variable costs: (3,000 × Rs. 180) + (500 × Rs. 50) = Rs. 570K
• Fixed costs: Rs. 500K – Rs. 50K (salary cut) = Rs. 450K
• Profit: Rs. 1.6M – Rs. 1.02M = Rs. 580K (up from Rs. 400K).

Key Formulas for Exams

1. GDP Growth Rate: $$\text{GDP Growth}=\left(\frac{{\text{GDP}}_{\text{current}}-{\text{GDP}}_{\text{previous}}}{{\text{GDP}}_{\text{previous}}}\right)\times 100$$ Example: Nepal’s GDP in 2020 = Rs. 1.6T, 2019 = Rs. 1.7T. $$\text{Growth}=\left(\frac{1.6-1.7}{1.7}\right)\times 100=-5.9\%(\text{Recession})$$

2. Unemployment Rate: $$\text{Unemployment Rate}=\left(\frac{\text{Unemployed}}{\text{Labor Force}}\right)\times 100$$ Example: 2020 Nepal → Unemployed = 1.8M, Labor Force = 12M. $$\text{Rate}=\left(\frac{1.8}{12}\right)\times 100=15\%$$

3. Inflation Rate (CPI): $$\text{Inflation}=\left(\frac{{\text{CPI}}_{\text{current}}-{\text{CPI}}_{\text{previous}}}{{\text{CPI}}_{\text{previous}}}\right)\times 100$$ Example: 2022 Nepal CPI = 120, 2021 CPI = 110. $$\text{Inflation}=\left(\frac{120-110}{110}\right)\times 100=9.1\%$$

Visual Summary: Nepal’s Trade Cycle (2015–2023)

Common Mistakes to Avoid

1. Confusing trade cycles with seasons:

   • ❌ "Trade cycles are like monsoons—predictable every year."
   • ✅ "Trade cycles last 3–10 years, not seasons."

2. Ignoring supply shocks:

   • ❌ "Only demand causes recessions."
   • ✅ "Supply shocks (e.g., 2015 fuel crisis) also trigger recessions."

3. Not linking to Nepal:

   • ❌ "Use US examples only."
   • ✅ "Always relate to Nepal’s 2020 COVID recession or 2015 fuel crisis."

4. Forgetting business applications:

   • ❌ "Just explain phases—don’t discuss how businesses adapt."
   • ✅ "Show how Daraz cuts costs in recessions or Ncell invests in booms."