The Devil Lies in the Details. Can the Yield Curve be a Market Predictor?

Posted on May 7, 2022

Data Science Background

Data has helped us with this research at the first place. The Treasury yield is the return on investment, as a percentage, on the U.S. government's debt obligations. It is the effective interest rate that the U.S. government pays to borrow money. Treasury yields also influence the interest rates that individuals and businesses pay to borrow money to buy real estate, vehicles, etc, and they essentially tell us how investors feel about the economy.

On March 29th, 2022, the 2-year Treasury Yield topped the 10-year Treasury Yield for the first time since 2019. Soon, a flurry of articles from multiple news outlets headline a "recession warning." Historically, when the term spread - the difference between long-term and short-term interest rates - turns negative, a recession follows. If this is the case, as a retail investor, what does this mean for the market (S&P500)? Is there some investment strategy that can be applied when the term spread FIRST inverts?

What is a yield curve?

The Yield Curve plots the yields (interest rate) of bonds having equal credit quality, but differing maturity dates. There are three types of yield curve shapes: Normal (upward sloping), flat, and inverted (downward sloping).

In a normal yield curve, short-term bonds have a lower yield than long-term bonds. These long-term bonds are subject to higher risk (greater probability that interest rates will rise within a longer term period and they are more sensitive to interest rate change), so the market expects a higher yield in return. This is the most common yield curve, and implies stable economic conditions.

What is normal and what is not?

If we take a look back, we can see that at the end of March 2021 (Q1), the Yield Curve was normal. At this point in time, the Federal Reserve (the Fed) was still describing inflation as "transitory." Fast forward 9 months later, and we see that short-term bond yields are starting to increase. It was also around this time that the Fed retired the word "transitory" to describe inflation, hinting that there may be future problems.

However, the Fed didn't come out and say they were increasing rates officially. After the FOMC meeting in March of 2022, the Fed decided to increase federal fund rates by 0.25% or 25 basis points (bp) with projections of six further increases up to the end of 2023. The differences in each line in the chart below showcases the market's outlook. In the most recent timeframe (red line), we see that the 2-year yield has jumped up tremendously, accounting for these possible six rate hikes.

Although we are not at an "inverted" yield curve, we are starting to see a flattening curve, implying uncertain economic conditions. Usually these flat yield curves can happen at the end of a high economic growth period that is leading to inflation and fears of a slowdown or when the Fed is expected to increase interest rates. Seems like what's going on right now.

Data Analysis

1. What Spread Term should we focus on?

Of course, we must take a look at this ourselves; perhaps we will find something that these news articles didn't mention. First and foremost, we must decide which spread to look at. Most traders watch the 10-year/2-year spread, whereas the Fed and academic studies pay attention to the 10-year/3-month spread.

 

After plotting both, it's clear to see that the spreads move very closely together. I decided to go with the 10-year/3-month spread to explore as that is the one the Fed watches, but it is worth noting the divergence that happened in March 2022.

2. Does an inversion happen before every recession?

After highlighting the recession years (found from the Fed), we can see that besides the inversion in 1998, the 10-year and 3-month spread has gone negative before each recession. For this project, we are ignoring the recession in the early 90's since the Treasury Yield data starts in 1990, so I cannot confirm if an inversion happened prior.

So, out of the four most recent inversions, three recessions have followed. Remember, we are looking at this through the eyes of an investor. We want to know if there is something we can do as soon as the spread turns negative. At a quick glance, it does look like the S&P500 (SPY) ends up falling during the recession. Does that mean we should sell and buy in later?

 

3. SPY returns

After further examination, one thing that I found was the spread actually goes negative multiple times prior to a recession. I will go over this at the end, but for now, I decided to group up these inversions by six months i.e. if the spread inverts multiple times in a six month period, I count it as one inversion. So, let's see how the market performs 6 months, 1 year, and 2 years after each inversion.

a. 6 months

Out of 7 inversion, SPY returns in 6 months were positive for only 3 of them.

b.Β  1 Year

Out of 7 inversions, SPY returns in 1 year were positive for only 3 of them, but notice that 1 year from the inversion in January of 2006, SPY returns were positive, whereas 6 months prior, they were not. On the other hand, 6 months from the inversion in March of 2019, SPY returns were positive, but a year later they were not.

c. 2 Years

Out of 7 inversions, SPY returns were positive for 4 of them in 2 years.

d. For each inversion

For our "false positive" inversion in 1998, we notice that SPY continued to go up. Considering there was no recession that followed, this makes sense. However, for the others, we see that there is no pattern at all.

4. Data Conclusion

Takeaways:

  • Timing the market is hard.
    • There are a plethora of factors that are at work.
  • Multiple inversions happened prior to a recession.
  • Recessions don't happen very often, so it is very hard to say if there is statistical significance.
    • We cannot conclusively say that spread inversion is a good predictor for the market.
    • We also cannot say that it is not useful.

For the Future:

There were a few things I noticed that CNBC or these other news outlets did not mention in their articles. First, the number of inversions. We can see that there were 7 inversions for the last 3 recessions. In my project, I aggregated multiple inversions together based on a 6-month period. Had I not, there were even more inversions (21).

This then leads into the next question: are all inversions the same? Again, I focused on if there is something an investor/trader can do when the spreadΒ FIRST goes negative. However, not all inversions last the same amount of time. Perhaps, inversions of 5-10 days are not that big of a deal, and we should only being paying attention to ones that last over 3 months.

 

Resources:

Title Image: https://www.thebalance.com/bouncing-back-after-a-big-trading-loss-4005884

Datasets:

Treasury Yield Data: https://home.treasury.gov/resource-center/data-chart-center/interest-rates/TextView?type=daily_treasury_yield_curve&field_tdr_date_value=all

S&P500 Data: https://www.wsj.com/market-data/quotes/index/SPX/historical-prices

Recession Years: https://fred.stlouisfed.org/series/JHDUSRGDPBR

The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

 

About Author

Leave a Comment

No comments found.

View Posts by Categories


Our Recent Popular Posts


View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI