Chapter 3 of 4
Diversification, liquidity and the loss-capacity test
Build a portfolio view that recognises common drivers, exit costs and cash needs.
In this chapter
Count economic exposures, not ticker symbols #
Ten holdings can depend on the same property cycle, funding source, commodity price or promoter group. Funds can overlap in underlying securities.
Map the drivers and claims before declaring diversification. Correlations are estimated relationships and can change in stress. A portfolio that looks diversified in normal conditions can concentrate when liquidity disappears.
Measure the combined scenario #
For simple unleveraged weights, portfolio return is the weighted sum of component returns over the same period, with cash flows and rebalancing handled explicitly. Derivatives require exposure and path analysis beyond a cash weight.
Consider simultaneous shocks to related positions. A gold holding, silver future and mining stock do not automatically hedge one another. Their currency, basis, financing and business risks can differ.
Liquidity is a price-and-size question #
Bid–ask spread, available depth, turnover, market impact and trading interruptions affect execution. Last-traded price may not be available for your quantity. A stop order is not insurance against a gap or absent buyer.
Compare the intended order with realistic depth and activity, then model staged exits and wider spreads. Do not interpret market capitalisation as cash that can be withdrawn from the market on demand.
Match capital with liabilities and funding #
Keep foreseeable cash needs separate from a thesis that may require years to work. Leveraged positions can need collateral during an adverse move even if the final hedge looks sensible.
A position-size limit should reflect loss capacity and cash availability, not merely broker buying power. Use adverse scenarios and account for correlated positions. A smaller size reduces some losses but does not fix an incoherent instrument choice.
Hypothetical worked example
A fictional portfolio stress
A ₹10 lakh unleveraged portfolio has 60% in an equity basket and 40% in a bond basket. In a declared scenario, equity falls 20% and bonds fall 5%. Portfolio return is 0.60×(−20%)+0.40×(−5%) = −14%, or ₹1.4 lakh.
This is a scenario, not a measured probability or a forecast. If cash is needed during the decline, exit spread and timing can worsen the realised result.
Common mistakes
- Counting holdings rather than common exposures.
- Assuming correlations are permanent.
- Sizing from buying power instead of loss and cash capacity.
What is the stated portfolio loss for 60% at −20% and 40% at −5%?
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 a fictional portfolio’s common drivers, overlapping holdings, liquidation assumptions and liability/funding stress.
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.
Progress is stored only on this browser.
Back to Returns, portfolios and decision quality · Learning library · Calculators
General financial education. No securities recommendation, assured outcome or personal advice. Read the risk disclosures.