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Volatility, drawdown and downside statistics
Updated 4 August 2026 · 4 min read · 16 Contents
Plain-language meaning
Volatility, drawdown and downside statistics means examining exact mutual-fund plans, share classes and ETF listings with their mandates, NAV evidence, costs, holdings and benchmarks with the identity, period, unit, source and limitations kept visible. It is a disciplined way to describe evidence, not a shortcut to an investment conclusion.
Learning objectives #
After this chapter you should be able to define volatility, drawdown and downside statistics, identify the evidence needed to use it, distinguish a reported zero from unavailable evidence, and explain why unlike instruments or periods may not be comparable.
Prerequisites #
Read “Trailing returns and CAGR” first. Be comfortable checking an exact listing or instrument, its source, observation date, native currency and unit. When any one of those is unknown, pause the comparison and record the gap.
Core concept #
Current risk statistics require one ordered Growth-series NAV history; IDCW and segregated/side-pocket downside metrics are unavailable. Preserve raw facts separately from interpretation, and retain the denominator, time window, classification rule and provenance that make the evidence reproducible.
Method #
For volatility, drawdown and downside statistics, first identify the exact evidence named in this chapter: Current risk statistics require one ordered Growth-series NAV history; IDCW and segregated/side-pocket downside metrics are unavailable. Then freeze identity and period, collect source-backed inputs with units, calculate or classify only compatible evidence, and record contrary facts and unavailable fields.
Where it appears in XMarketRadar #
Use Fund Details, mutual-fund tools and screener, ETF scanner, documents and calculators while retaining the exact plan/class identity. A displayed field is useful only with its source and as-of context. If XMarketRadar does not calculate this chapter’s concept directly, use the chapter as an educational checklist and retain the supporting primary document or screen URL in the research workspace.
Worked example #
Growth NAV 100→110→88 has a -20% peak drawdown; the same field stays — for an IDCW or side-pocket series under current support. Module context: Illustrative Direct Growth plan has NAV INR 25.00 on 31-Jul-2025 and INR 27.50 on 31-Jul-2026, a 10% point-to-point trailing change for that Growth series; XMarketRadar withholds IDCW/distribution and segregated/side-pocket return metrics. This is an illustrative audit trail, not live data, a target or an expected outcome.
Interpretation #
Interpret the result in the direction defined by the field, not by an assumed desirable outcome. Higher, lower, positive and negative can each have different meanings by context. Compare the observation with its own history or a compatible benchmark, and label conclusions as observations, interpretations or user decisions.
Limitations and common mistakes #
Treating withheld IDCW/segregated statistics as zero risk or silently joining incompatible NAV identities. Survivorship, category changes, stale holdings, assumed calculator returns, cash distributions and mismatched plan classes can invalidate comparisons. A precise calculation can still mislead when the source is stale, the denominator changed, or a classification hides important detail.
Market and jurisdiction differences #
India uses scheme/plan/option identities such as Direct and Regular; other markets use share classes and accumulation/distribution labels. ETF venue, currency and trading session remain exact. Exchange rules, accounting conventions, calendars, taxes, disclosure timing, quote scale and licensed coverage can differ. Verify the current primary source for the relevant venue; registry support alone does not prove that every field is available.
Key takeaways #
For volatility, drawdown and downside statistics, remember this boundary: Treating withheld IDCW/segregated statistics as zero risk or silently joining incompatible NAV identities. Keep the evidence exact, dated and source-backed; publish missing information as unavailable rather than manufacturing a value.
Practice #
Reproduce this historical scenario from source-labelled inputs: Growth NAV 100→110→88 has a -20% peak drawdown; the same field stays — for an IDCW or side-pocket series under current support. Then change one input, preserve the original period and unit, and explain whether the result changes or becomes unavailable. Write the identity, source, date, unit and failure condition, then state exactly what would display as —.
Knowledge check #
Reveal answer and explanation
Question: which mistake would invalidate a review of volatility, drawdown and downside statistics? Answer: Treating withheld IDCW/segregated statistics as zero risk or silently joining incompatible NAV identities. Explanation: the chapter requires the stated identity, period, unit and compatible evidence; a missing required input remains — rather than 0.
Educational use only #
This chapter is descriptive education, not investment advice, a forecast, a recommendation, a suitability assessment or an instruction to buy, sell, rebalance, trade or place an order. XMarketRadar’s broker connections remain read-only.