Mechanism and definition
USD/MXN is a currency pair comparing the US dollar (USD) to the Mexican peso (MXN). To assess it, you need data that describes the exchange rate and the way that rate is quoted (for example, which currency is base and which is quote). A practical definition is: a USD/MXN quote tells you how many MXN correspond to one USD at a specific time under a specific market convention.
When you move beyond a single quote, “assessment” usually means producing derived quantities such as changes over time (returns), volatility measures, or comparisons versus other currency pairs. Those derived figures depend on the exact input series and on consistent assumptions about timing and quote direction.
Direct answer: what data you need
To accurately explain USD/MXN and independently verify relevant facts, collect four categories of data.
- Quote inputs (the raw rate series)
- Exchange-rate observations for USD/MXN (at the same cadence you plan to analyze).
- The quote convention: the direction (USD per MXN vs MXN per USD) and whether the data represents mid-price, last trade, or another benchmark.
- Provenance (where the numbers come from)
- Source identity: which data provider, exchange, platform, or regulator publication produced the rate.
- Method description: how the provider defines and constructs its USD/MXN time series.
- For any derived measures, the exact calculation method used (or your own method).
- Timeliness (when the numbers apply)
- Timestamps with time zone or explicit session definitions.
- Market-state alignment: if you compare USD/MXN across sources, ensure each source’s “observation time” refers to the same clock time.
- Treatment of weekends, holidays, or missing ticks so that “gaps” do not masquerade as market moves.
- Quality checks (whether the data is usable)
- Continuity checks: detect duplicates, outliers, and sudden step-changes that may indicate data errors.
- Consistency checks: confirm the quote direction and convention remain stable across the sample.
- Missing-data handling: decide how you will treat missing observations (for example, exclude periods, carry forward, or interpolate), and document that assumption.
A simple “afvinkpunten” checklist you can apply before analyzing USD/MXN:
- You can state the quote convention unambiguously.
- You can identify the source and the construction method.
- Every data point has a timestamp you can interpret.
- You can reproduce each derived calculation from the raw inputs.
- You have noted at least one material limitation.
Evidence or example: how data choices affect computed results
Example (illustrative, not a prediction): suppose you compute a percentage change from one date to the next. Your result depends on both the rate inputs and the time alignment. If one dataset timestamps observations in local market time and another uses a different time zone, the “next date” may not refer to the same moment, creating a discrepancy.
Another common issue is quote convention. If you accidentally treat MXN per USD data as if it were USD per MXN (or swap base/quote), derived changes will flip sign and scale, making any comparison wrong.
Assumptions you should state explicitly for any calculation or example:
- Quote direction and unit (MXN per 1 USD, for instance).
- Sampling cadence (daily close, hourly mid, etc.).
- How you handle missing observations and outliers.
Limitations and risks (material failure modes)
- Data staleness or misalignment: historical comparisons can be distorted if timestamps, time zones, or trading sessions are not consistent.
- Convention errors: mixing mid/last/settlement definitions can change computed volatility and changes.
- Hidden costs or frictions: if you compare USD/MXN analytics with any real execution context, you may be missing spreads, commissions, or conversion constraints. Even though you can assess the exchange rate series, you cannot assume it equals a realized transaction outcome.
- Overgeneralizing history: historical relationships between USD/MXN and other variables do not establish future results.
Verification and next question
To “prove” what your assessment is based on, you should be able to answer a “klaarcriterium” question: if another person downloads the same stated data (same source, same convention, same time range), can they reproduce your computed quantities?
A good next question to clarify before any deeper analysis is: which exact data feed and quote definition will you use for USD/MXN (including timestamps and quote convention), and what derived metrics will you compute from it?