Inconsistencies in Time Series Data

Requirements Clarification & Assessment

1. Understanding the Context:

   • Purpose of Analysis: Determine if the analysis aims for modeling future prices, reporting trends, or detecting anomalies.
   • Nature of the Asset: Identify the type of asset (e.g., stocks, commodities) to understand market behaviors and external influences.
   • Data History: Clarify if the dataset has consistently been noisy or if recent events have contributed to increased volatility.

2. Data Characteristics:

   • Time Span: Confirm the duration of the dataset (e.g., daily prices over five years) to ensure a comprehensive analysis.
   • Data Source Integrity: Investigate potential causes of inaccuracies, such as manual errors or technical glitches.

3. Clarifying Questions:

   • How is the price determined, and what external factors might influence it?
   • What level of accuracy is acceptable for this analysis?

4. Assumptions:

   • Assume that the data will be used for modeling purposes and has a history of noise.
   • Assume the dataset is sufficiently long to allow meaningful analysis.