Direct answer: the inputs you need
To assess yen crosses without guessing, you need four groups of data: (1) the cross-definition inputs, (2) data provenance (where the numbers come from), (3) timeliness (when they were observed), and (4) quality checks that confirm the data is internally consistent. A “yen cross” is a currency pair whose pricing involves JPY as one leg, but is quoted versus a different non-JPY currency; the key task is to make the two legs comparable in the same quoting convention and time context.
Mechanism or definition: what “assessing” means
Assessment usually means forming a well-defined way to relate yen to another currency, then checking whether the relationships you use are coherent given your assumptions.
1) Cross definition and quote convention
- Identify the two legs and how the cross is expressed (e.g., which currency is base vs quote, and whether the pair is quoted as “JPY per unit” or the inverse).
- Record the data convention used by each source (some vendors quote in one direction, and some compute derived crosses).
2) Rate inputs (for an example, not live pricing)
- You typically need a JPY reference rate for Currency A and a JPY reference rate for Currency B, plus the rule used to convert them into the cross rate.
- If you do any example calculation, state assumptions explicitly: which direction you use, which day/time you sample, and whether rates are indicative mid, executable, or adjusted.
3) Cost and frictions (to separate mechanics from execution) Even when your goal is conceptual, you should separate stable mechanics from variable conditions:
- Trading costs: bid/ask spread and commissions (these change expected realizable outcomes).
- Financing effects: differences tied to interest rate and settlement conventions can affect comparisons over time.
- Execution details: whether quotes are firm, indicative, or subject to delays.
Evidence or example: a practical checklist
Use this control-checklist approach to decide whether the data you have is assessable.
A) Provenance (afvinkpunten)
- Source identity: confirm whether data comes from a regulator/central bank feed, an official statistics page, or a provider’s pricing methodology documentation.
- Quote type: note whether values are indicative, mid-market, or intended to represent tradable prices.
B) Timeliness (klaarcriterium)
- Timestamps: record the observation time and time zone.
- Horizon consistency: use the same horizon for both legs (for example, if you use end-of-day references, don’t mix them with intraday snapshots).
C) Quality checks (bewijs of document)
- Unit and direction consistency: verify you are not mixing “per 1 unit” with “per 1 JPY” conventions.
- Re-computation check: if the cross is derived from two legs, recompute it from your stored inputs and confirm it matches your reference (within an acceptable tolerance you define upfront).
- Missing/odd values: flag stale prints, unusually large jumps, or quotes that fail basic sanity ranges.
D) Rode vlaggen (failure modes to watch)
- Stale data: timestamps that drift beyond your intended analysis window.
- Convention mismatch: inversions or different quote directions used for different legs.
- Illiquidity or abnormal spreads: results that look “stable” only because you used a mid price rather than executable prices.
- Regime changes: relationships that held historically do not ensure future behavior.
Limitations and risks: what you cannot conclude from the data
- The same mechanics can produce different outcomes under different costs, execution, and jurisdictional rules.
- Historical relationships between currencies do not establish future results.
- Without real-time market data, any “assessment” must be understood as descriptive and assumption-driven rather than predictive.
Verification or next question: how to validate your understanding
To verify independently, you should be able to (1) reproduce the cross from the stored legs using the same formula and quote convention, (2) explain where each input came from and whether it was indicative or tradable, and (3) state the exact assumptions behind any calculation. A useful next question is whether the data source you plan to rely on publishes its quoting conventions and timestamping method; if not, your assessment should treat the relationship as less verifiable.