Federal Reserve Economic Data

The FRED® Blog

Move along. Nothing to see here. (Seriously.)

Searching for financial stress

You may be relaxing over the holidays, but Team FRED Blog feels a little contrarian, like that uncle you can never agree with. So let’s talk about stress.

FRED offers three series from different regional Federal Reserve Banks that are intended to alert us to financial stress. All three indices use available data from the financial sector to try to establish an aggregate that highlights the level of risk in that sector, with higher values showing more stress.

The good news? Today, things are looking pretty steady. You could even say that there’s nothing to see here. At least as far as financial stress goes.

But the data overall show a couple of things quite clearly: The Great Recession was definitely financial in nature, with great financial stress, whereas the preceding recession was not. And all three indices show the same course: As early as July 2007, conditions were getting worrisome. Still, it’s good to be careful when reading indicators like these, as increasing stress doesn’t always signal an impending recession.

How this graph was created: Search FRED for “stress,” check the two series, and click “Add to Graph.” From the “Edit Graph” panel, use the “Add Line” tab to search for “Chicago Financial Conditions” and add that line to the graph.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: KCFSI, NFCI, STLFSI

Shop till your drop…your credit score

Credit card delinquency rates

You may be out buying last-minute presents, but the elves here at the FRED Blog are still at work contemplating credit card delinquency rates. It’s not the most festive topic, but there are at least a few interesting observations.

The graph above shows delinquency rates that range from slightly below 2% to slightly below 7%. This range could seem high, given these are unsecured loans: that is, without any collateral, such as a house to back up a mortgage loan. Or this range could seem low, given the relatively high interest rates that credit cards typically carry.

Beyond the obvious increase in delinquencies during recessions, we notice that smaller banks now have noticeably higher delinquency rates than the largest 100 banks. This is a new development. Have the smaller banks become significantly worse at selecting their credit card customers? Or has the composition of the pool of smaller banks changed in some other way?

Finally, we don’t detect any seasonal aspects in these rates. So, your last-minute December shopping may not have an immediate impact on your ability to repay your credit card. So, happy holidays!

How this graph was created: Search for “delinquency rate,” check the relevant series, and click “Add to Graph.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: DRCCLOBN, DRCCLT100N

How has the U.K. stock market fared lo these past 300 years?

An historical data literacy lesson on U.K. stock prices

FRED offers some historical time series that the Bank of England has compiled, including the series shown above that tracks the price of stock market shares. The series starts way back in 1709 with the shares of the South Sea Company and the British East India Company. Other companies have been added and subtracted as they’ve entered and left the U.K. stock market. Just glancing at the graph reveals two things: First, the series is close to zero most of the time and then explodes. Second, there are wild fluctuations in recent decades.

For both these “observations,” though, there’s a mirage at work. Don’t worry: This optical illusion is common in very long time series. But let’s clear it up. Back in the 18th century, all prices, including share prices, were much lower  And when a long time series includes regular growth, recent changes are amplified while initial changes aren’t readily visible.

One way to sidestep these visual pitfalls is to use logarithms. Their big advantage is that any change you can measure on a graph, such as those mentioned above, is a change in percentages: Anywhere in the graph, one inch corresponds to the same percentage change. In this graph, the share price doesn’t look explosive at all; actually, it seems quite stable except for growth periods in the mid 19th century and second half of the 20th century. Also, the recent wild fluctuations have been tamed. (But note the blip in 1720, due to the South Sea Bubble.)

An even better way to represent the data is to remove the growth of the general price level so the growth of stock prices themselves is better captured. A tip of the hat to the Bank of England for offering a time series on the consumer price index that, remarkably, begins in 1206. By dividing share prices by this series (shown in the graph below), we can see that there are longer periods where the real share price has actually declined.

That concludes our historical data literacy lesson for today. Your homework? Convert the units in the graph below to logarithms.

How these graphs were created: For the first graph, search for “share price UK.” For the second, take the first, click on “Edit Graph,” and select units “natural logarithm.” For the third, take the first, click on “Edit Graph,” add a series by searching for “CPI UK” (selecting the one with the earliest start date), and then apply formula a/b.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CPIUKA, SPPUKQ


Back to Top