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Clean price, dirty price and accrued interest

ਅੱਪਡੇਟ 4 ਅਗਸਤ 2026 · 4 ਮਿੰਟ ਪੜ੍ਹਨ ਦਾ ਸਮਾਂ · 16 ਵਿਸ਼ਾ-ਸੂਚੀ

ਸਰਲ ਭਾਸ਼ਾ ਵਿੱਚ ਅਰਥ

Clean price, dirty price and accrued interest means examining contractual debt cash flows, prices, yields, interest-rate sensitivity, credit evidence and deposit terms 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 clean price, dirty price and accrued interest, 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 “Current yield, yield to maturity and reinvestment assumptions” 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 #

Dirty price equals clean price plus accrued interest under a stated day count. Preserve raw facts separately from interpretation, and retain the denominator, time window, classification rule and provenance that make the evidence reproducible.

Method #

For clean price, dirty price and accrued interest, first identify the exact evidence named in this chapter: Dirty price equals clean price plus accrued interest under a stated day count. 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 fixed-income research and source documents. Some instruments lack reliable current pricing, so the concept may be educational-only when licensed evidence is absent. 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 #

Clean 980 plus accrued 12.50 gives dirty consideration 992.50 CU before fees. Module context: Illustrative bond has face value CU 1,000, 5% annual coupon paid semi-annually, 31-Dec-2030 maturity, Actual/Actual day count and 4% annual yield compounded semi-annually; each CU 25 coupon is contractual subject to issuer payment. 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 #

Comparing a clean quote with a dirty transaction value. Yield is not a promised return: default, calls, reinvestment, taxes, accrued interest, illiquidity and model assumptions can change the realized result. A precise calculation can still mislead when the source is stale, the denominator changed, or a classification hides important detail.

Unavailable evidence #

If evidence needed for this chapter’s focus is missing—Dirty price equals clean price plus accrued interest under a stated day count.—the result is unavailable (—). Do not resolve the gap by comparing a clean quote with a dirty transaction value. It is not zero, neutral, low risk, a failed condition or permission to substitute a different listing. Retain the last verified observation only with its original date and stale label.

Market and jurisdiction differences #

Government and corporate conventions, day counts, settlement, clean/dirty quoting, rating scales and deposit guarantees differ by market and instrument. 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 clean price, dirty price and accrued interest, remember this boundary: Comparing a clean quote with a dirty transaction value. 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: Clean 980 plus accrued 12.50 gives dirty consideration 992.50 CU before fees. 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 #

ਜਵਾਬ ਅਤੇ ਵਿਆਖਿਆ ਦਿਖਾਓ

Question: which mistake would invalidate a review of clean price, dirty price and accrued interest? Answer: Comparing a clean quote with a dirty transaction value. Explanation: the chapter requires the stated identity, period, unit and compatible evidence; a missing required input remains — rather than 0.

Related next steps #

Continue with “Duration, convexity and rate sensitivity”. Follow the previous/next chapter links and related glossary terms for canonical definitions. Re-run the checklist whenever the source, period, instrument identity or methodology changes.

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.

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