dharmatech

Investor purchases $100 in treasury securities

Central Banking 101 by Joseph Wang has the following example on page 26:

So an investor purchases $100 of treasury securities from the treasury. I'd like to focus on that part of the example.

I've highlighted the relevant parts of the balance sheets here:

	<!doctype html>
	<html lang="">

	<head>
	{# <script src="/static/js/htmx-1.8.0.js"></script> #}

	<script src="https://unpkg.com/[email protected]/dist/htmx.min.js"></script>
	</head>

	<body>

	import pandas as pd
	import treasury_gov_pandas

	import streamlit as st
	import plotly
	import plotly.express

	# @st.cache_data
	def get_dataframe():
	return treasury_gov_pandas.load_records('https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v1/accounting/od/auctions_query', lookback=10, update=False)

	import io
	import requests
	import pandas as pd

	def trade_quote(symbol, expiration, date):

	url = "http://127.0.0.1:25510/v2/bulk_hist/option/trade_quote"

	querystring = { "root": symbol, "exp": expiration, "start_date": date, "end_date": date, "use_csv":"true" }

	import pandas as pd
	import treasury_gov_pandas.datasets.mts.mts_table_4.load
	import streamlit as st
	import plotly.express as px
	import numpy as np

	df = treasury_gov_pandas.datasets.mts.mts_table_4.load.load()

	# convert null values to 0 in the column 'current_month_net_rcpt_amt'


	import os
	import glob
	import pandas as pd

	from bokeh.plotting import figure, show
	from bokeh.models import ColumnDataSource, HoverTool
	from bokeh.transform import linear_cmap
	from bokeh.palettes import Viridis256
	from bokeh.io import output_notebook


	from bokeh.plotting import figure, show

	import bokeh.models

	import bokeh.palettes
	import bokeh.transform

	import pandas as pd