Chapter 6 of 6
Microeconomics for a stock researcher: demand, costs and policy transmission
Connect customer behaviour, cost structure and the wider Indian economy to a company forecast.
In this chapter
Demand and supply are conditional relationships #
Demand describes willingness and ability to buy at different prices under stated conditions; supply describes what producers offer. A movement along a curve differs from a shift caused by income, technology or input cost.
A price rise accompanied by higher sales does not prove demand ignores price; another factor may have shifted demand. Separate observed association from an estimated response, and avoid applying an aggregate rule to every company.
Elasticity helps frame a pricing question #
Price elasticity compares percentage quantity change with percentage price change under a chosen estimation method. A business may face different sensitivity by customer, product and horizon.
An essential product category can still contain substitutable brands. A firm’s pricing power depends on customer alternatives and distribution as well as broad category demand. Keep estimates conditional and test whether mix changes explain the observation.
Costs change with scale and constraints #
Fixed and variable cost labels depend on the time horizon and capacity range. A factory can absorb fixed costs as output rises until a new capacity step requires investment.
Marginal economics, average cost and accounting profit are different measures. Evaluate whether incremental sales cover incremental costs and whether the expansion earns a sufficient return on capital, not only a better-looking margin percentage.
Connect GDP, policy and currency through the business #
Nominal and real growth differ; monetary policy changes financing conditions while fiscal policy affects spending, taxes and borrowing. Trade and exchange rates influence import costs and export realisations.
These channels are hypotheses to map to customers, prices, costs and financing. Do not assume a GDP percentage becomes the same revenue growth for every listed firm. Use official release dates and keep the original data vintage.
Hypothetical worked example
A fictional elasticity illustration
A firm’s unit price rises 5% and quantity falls 10%, with all other influences artificially held fixed. A simple percentage-change elasticity estimate is −10%/5% = −2.
Revenue changes by 1.05×0.90−1 = −5.5%. Real observations rarely hold everything else fixed, so this is a calculation exercise, not a causal estimate from two uncontrolled data points.
Common mistakes
- Treating two uncontrolled observations as a causal elasticity.
- Assuming sector revenue must equal GDP growth.
- Using fixed costs as fixed forever at any scale.
What is the revenue change for price +5% and quantity −10% under the example?
Make this chapter useful
Can you defend the reasoning?
Before moving on, answer the self-check in your own words and write why each alternative fails. Use the worked example to test that explanation. Then apply it in the module research task; keep the assumptions and the evidence that could change your answer.
Desk assignment
What to submit
Map one fictional company’s customers, substitutes, cost curve and policy/FX transmission, with a clearly labelled sensitivity calculation.
Use the research ledger for dated evidence, or the module workbooks for calculations. Separate observations, assumptions and interpretation.
Sources and further reading
- NISM: Research Analyst learning topics (scope reference; independent lessons) ↗
- Reserve Bank of India: official publications and monetary policy ↗
Further-reading references from the curriculum source list. Contract sizes, expiry calendars, settlement references, margin parameters and tax treatment can change; verify the current operative documents for the actual product. Worked figures are illustrative, not current quotes.
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