36) Over the Past Three Months, How Has Your Use of Nonprice Terms (for Example, Haircuts, Maximum Maturity, Covenants, Cure Periods, Cross-Default Provisions or Other Documentation Features) with Respect to Nonfinancial Corporations Across the Entire Spectrum of Securities Financing and Otc Derivatives Transaction Types Changed, Regardless of Price Terms?| Answer Type: Eased Considerably
Number of Respondents, Quarterly, Not Seasonally Adjusted
CTQ36ECNR • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
0.00
Year-over-Year Change
N/A%
Date Range
10/1/2011 - 4/1/2025
Summary
This economic indicator tracks the number of survey respondents on a quarterly basis without seasonal adjustments. The metric 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
Economists use this trend to understand survey response dynamics and potential sampling variations in economic research. The unseasonally adjusted quarterly count helps validate the representativeness and reliability of economic data collection efforts.
Methodology
Data is collected through systematic quarterly surveys, aggregating the total number of participants who responded to specific economic research questionnaires.
Historical Context
This trend is utilized in assessing survey methodology, research validity, and potential sampling bias in economic and statistical studies.
Key Facts
- Provides quarterly count of survey participants
- Not seasonally adjusted, reflecting raw response numbers
- Helps validate research sampling techniques
FAQs
Q: What does this trend measure?
A: It tracks the total number of survey respondents in a given quarter without seasonal adjustments. This provides a raw count of participant engagement in economic research.
Q: Why are unseasonally adjusted numbers important?
A: Unseasonally adjusted data shows the actual response count without statistical smoothing, revealing potential variations in survey participation.
Q: How is this data collected?
A: The data is gathered through systematic quarterly surveys across various economic research initiatives. Participants are counted directly from survey responses.
Q: What can researchers learn from this trend?
A: Researchers can assess survey participation rates, identify potential sampling biases, and validate the representativeness of their economic studies.
Q: How frequently is this data updated?
A: The trend is updated quarterly, providing a consistent snapshot of survey participation throughout the year.
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31) To the Extent That the Price or Nonprice Terms Applied to Separately Managed Accounts Established with Investment Advisers Have Tightened or Eased Over the Past Three Months (as Reflected in Your Responses to Questions 29 and 30), What Are the Most Important Reasons for the Change?| A. Possible Reasons for Tightening | 3. Adoption of More-Stringent Market Conventions (That Is, Collateral Terms and Agreements, ISDA Protocols). | Answer Type: 2nd Most Important
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Citation
U.S. Federal Reserve, Number of Respondents, Quarterly, Not Seasonally Adjusted [CTQ36ECNR], retrieved from FRED.
Last Checked: 8/1/2025