Chapter 3 of 4
Research methods and historical case studies without hindsight
Combine fundamental, technical, quantitative and behavioural work while preserving what was knowable at the time.
In this chapter
Use each method for a defined decision #
Fundamental work estimates economics and value; technical work describes executable price conditions; quantitative work tests repeatable definitions; behavioural work identifies decision errors. More methods do not automatically mean more independent evidence.
If moving averages, momentum and a price breakout all use the same price history, they can repeat information. Ask what new fact each adds, and compare an unfiltered baseline with the more complicated version.
Freeze the historical information set #
A case study should begin with the documents available before the decision. A revised annual report, later acquisition or future index membership cannot be treated as information known earlier.
Choose the event date, instrument, benchmark and evaluation window before selecting the story. Include adverse and inconclusive cases, not just the winner everyone remembers. Delisted or failed companies can disappear from convenient datasets, creating survivorship bias.
Distinguish mechanism from coincidence #
A stock rising after a commodity rally does not prove that commodity inflation benefited it. The business might sell the commodity, consume it, hedge it or pass the cost to customers with a lag.
Check volume, realised price, input costs, inventory accounting, currency and financing. A metal producer and a consumer-goods manufacturer can face opposite effects from the same raw-material shock. The direction can change when demand weakens.
Keep the original memo intact #
After the outcome, separate forecast error, model error, execution error and luck. A profitable position can still have relied on an incorrect explanation. A losing position does not prove all the original facts were false.
Record what changed and what your process would do differently. Do not rewrite the original thesis into the explanation that now looks obvious. A study that can be reproduced is more useful than a hindsight story with perfect timing.
Hypothetical worked example
A fictional oil-to-business bridge
A packaging firm sells ₹100 crore and spends ₹40 crore on oil-linked inputs. If input cost rises 10% before any pass-through, additional cost is ₹4 crore. Raising revenue by ₹4 crore is a 4% increase only if volume and mix are unchanged.
A refiner or oil producer has a different model. The headline oil up cannot supply a common profit forecast for all three businesses.
Common mistakes
- Selecting only famous winning case studies.
- Applying future revisions to an earlier decision.
- Counting several price-derived indicators as independent proof.
What should a historical case study preserve first?
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
Build a dated case file with the original information set, a countercase, benchmark, costs and a review separating process from outcome.
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) ↗
- NSE: company integrated financial filings ↗
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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