10) How Has the Provision of Differential Terms by Your Institution to Most-Favored (as a Function of Breadth, Duration, and Extent of Relationship) Hedge Funds Changed over the Past Three Months?| Answer Type: Decreased Somewhat
Number of Respondents, Quarterly, Not Seasonally Adjusted
CTQ10DSNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
1.00
Year-over-Year Change
0.00%
Date Range
7/1/2011 - 4/1/2025
Summary
This economic indicator tracks the number of survey respondents on a quarterly basis without seasonal adjustments. It provides insights into data collection and survey participation rates across various economic research initiatives.
Analysis & Context
This economic indicator provides valuable insights into current market conditions and economic trends. The data is updated regularly by the Federal Reserve and represents one of the most reliable sources for economic analysis.
Understanding this metric helps economists, policymakers, and investors make informed decisions about economic conditions and future trends. The interactive chart above allows you to explore historical patterns and identify key trends over time.
About This Dataset
The trend represents the raw count of participants in economic surveys, offering a baseline for understanding sample sizes and potential statistical variations. Economists use this metric to assess the reliability and representativeness of research data.
Methodology
Data is collected through systematic quarterly surveys, with each respondent counted without applying seasonal adjustment techniques.
Historical Context
This metric is crucial for evaluating the statistical validity of economic research and understanding potential sampling biases in economic studies.
Key Facts
- Provides raw count of survey participants
- Collected on a quarterly basis
- Not seasonally adjusted
FAQs
Q: What does this trend specifically measure?
A: It measures the total number of respondents in economic surveys on a quarterly basis without seasonal adjustments.
Q: Why are non-seasonally adjusted numbers important?
A: Non-seasonally adjusted data shows the raw numbers without accounting for predictable seasonal variations, providing a direct view of actual responses.
Q: How is this data typically used?
A: Researchers and economists use this to understand sample sizes, validate survey methodologies, and assess potential data collection biases.
Q: What limitations exist in this type of data?
A: The raw count doesn't account for seasonal fluctuations or provide context about response quality, requiring additional analysis.
Q: How frequently is this data updated?
A: The data is updated quarterly, providing a consistent snapshot of survey participation rates.
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [CTQ10DSNR], retrieved from FRED.
Last Checked: 8/1/2025