Baselight

Treasury Yields & Money Data- United States

for analysis of correlation between money supply and expected interest rates

@kaggle.rishabhab_treasury_yields_money_data_united_states

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About this Dataset

Treasury Yields & Money Data- United States

Context

Quantitative Easing (QE) is, in simple parlance, creation of money for stabilising the economy going through a shock. It intends to increase the flow of money through the economy in order to keep up the demand.

But how much is too much? What could happen when the money supply goes out of control? As sound economic theory suggests, scarcity is the mother of choice. Economics is all about making choices. Those choices are not increasing at the same rate the money supply has. As an anecdote, 40% of US$ in circulation were 'printed' in 2020.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

All data sourced from stlouisfed.org
Cover image from gettyimages

Inspiration

Questions:

  1. Can the trends monetary base be linked to yields on government securities?
  2. Can any implication of future inflation be made using this time series data?

Tables

N 10 Year Treasury Yields Data

@kaggle.rishabhab_treasury_yields_money_data_united_states.n_10_year_treasury_yields_data
  • 165.29 KB
  • 15430 rows
  • 2 columns
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CREATE TABLE n_10_year_treasury_yields_data (
  "date" TIMESTAMP,
  "dgs10" VARCHAR
);

Monetary Base

@kaggle.rishabhab_treasury_yields_money_data_united_states.monetary_base
  • 13.26 KB
  • 745 rows
  • 2 columns
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CREATE TABLE monetary_base (
  "date" TIMESTAMP,
  "bogmbase" DOUBLE
);

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