# Examining Yield Curve Similarity (Part 2)
Source: https://www.yieldcurve.pro/blog/examining-yield-curve-similarity-part-2  
Published: 2023-09-09  
Tags: Bear Steepener, Interest Rate Environments, Principal Component Analysis, Yield Curve

_Revisiting different interest rate regimes._

# Examining Yield Curve Similarity (Part 2)

<br />
### Recap

Last time
<a href="/blog/examining-yield-curve-similarity-part-1">(Part 1)</a>
we discussed a naive way of measuring similarity in yield curves
at two distinct points in time. Then, by association, we should
be able to identify similar interest rate environments. At
least that's the simple logic.

Our conclusion was that, while the simple distance or (dis)similarity
metric worked as intended, identifying yield curves with the same
shape (level and slope) was insufficient. In addition to these
we need to incorporate some sense of path dependency or "how did
the yield curves come to be in those configurations?" If two curves
have similar level and slope and attained those by traveling
similar paths then perhaps we can say the interest rate environments
have something in common as well.

Let's revisit our basic conclusion from last time. Namely that,
using the last 20 years or so of yield curve data, the yield curve
most similar to September 5, 2023 occurred on November 14, 2006.
This result was due to our Manhattan Distance metric which we
confirmed visually with a side-by-side comparison.

<img src="/admin/blog/image/65/blog_same_20230905.png" alt="Most similar yield curve shapes">

### Components

Performing a Principal Component Analysis
(<a href="https://en.wikipedia.org/wiki/Principal_component_analysis" target="_blank">PCA</a>)
on the time-series of yield curve data allows us to quantitatively
measure the level and slope over time.

<img src="/admin/blog/image/83/blog_pca_20230911.png" alt="Yield curve PCA decomposition">

The level and slope for September 5, 2023 was approximately
4.3% and -1.3%, respectively. On November 14, 2006 they were
4.6% and -0.5%. So far, so good. But is this enough?

Notice that in the periods leading up to each date, level and
slope travel distinct paths. Leading up to November 2006 level
is flat to slightly decreasing while leading up to September
2023 it is strongly increasing. Also, slope leading up to November
2006 is decreasing while leading up to September 2023 it
increasing.

<br />
### Bears, Bulls, Steepeners, Flatteners, Oh My!

Using the concepts discussed in
<a href="/blog/thoughts-on-bear-bull-flatteners-steepeners">Thoughts On Bear, Bull, Flatteners, Steepeners</a>
we characterize November 2006 and September 2023 as **Bull Flattener**
and **Bear Steepener**, respectively.

Recall that a bear flattener refers to a shift in the yield curve where
the difference between short-term and long-term rates narrows. This can
occur when long-term rates rise, but short-term rates rise even more.
It may suggest tightening monetary policy by the Federal Reserve.
Investors might interpret it as a sign of potential economic slowdown.

Also, a bear steepener refers to a shift in the yield curve where the
spread between short-term and long-term interest rates widens. This
often occurs when long-term rates rise more significantly than short-term
rates. It can signal expectations of higher inflation or interest rate
hikes in the future. Investors might anticipate economic growth and
potentially seek higher yields from longer-term investments.

<br/>

### Conclusion

How should we interpret this? For starters, it would suggest that,
with respect to interest rate environments, November 2006 and
September 2023 have important differences (by the way
<a href="/regimes">this tool</a>
can help identify the regime as a function of date)

Coming full circle, we can revisit something we considered in Part 1.
How do these different interest rate regimes affect return streams
for different assets? More precisely, what types of assets perform
best in the four different bear, bull, flattener, steepener regimes?

This is something we will consider in a subsequent post.
