Markets
Most Banks Are Screwing Up On Their Stock Picks
Let’s say that a bank such as Goldman Sachs publishes a recommendation to “Buy Stock X”.
It’s hard to ignore a bet by a powerful investment bank such as Goldman. We are mere mortals in the pecking order, and they are supposed to be the all-knowing smart money from Wall Street.
Do we buy the stock, or is it simply wiser to pass?
Bank Performance Overall
The folks at InterTrader have done considerable legwork to dive deep into the data on investment bank recommendations made in 2015. They looked at every bet made by the 16 top banks throughout the year to assess both potential returns and accuracy.
The results are pretty underwhelming.
If you bought every stock recommended and held until the end of the year, here’s what your performance would look like:
Overall, when holding the stock picks for the year, banks were only 43% accurate with their predictions.
That’s right – flipping a coin would have been potentially more effective than buying bank stock picks, which ended up down -4.79% on the year. The S&P 500 finished down only -0.69%, but simply just making any interest in a savings account would have been more effective as well.
A Closer Look at Individual Banks
While banks as a whole struggled with picks in 2015, it’s also important to look at banks on a more micro level to see how they performed.
Here’s a look at the recommendations by Deutsche Bank, and how they did:
Deutsche Bank nailed 41% of their predictions, and had a -8.93% return if picks were held throughout the year.
As you can see, some of their picks such as Microsoft and Wix.com gained double digits. On the other hand, recommendations such as Whiting Petroleum got absolutely crushed throughout the year, dropping -70.1%.
Overall, Deutsche Bank’s performance here definitely didn’t do much to help the struggling company get out of its rut.
Which Banks Were Most Accurate?
Here are the banks, from best to worst, based on accuracy of their calls:
Nomura, Credit Suisse, BAML, and Barclays all batted above .500 if stocks were held throughout the year, while 10 banks all did worse than a coin flip.
Citigroup had an off year, only nailing 14% of its picks.
Which Banks Had the Best Returns?
Here are the banks, from best to worst, based on the performance of these recommendations:
Just two banks, Credit Suisse and Nomura, had positive returns if stocks were held through the year. Meanwhile, Canaccord Genuity’s picks were knocked down -16% over the course of 2015.
An Important Caveat
Throughout the above article, we are showing the results if stock picks were held from when they were made until the end of the year.
However, it is worth noting that the investment banks actually did slightly better if picks were held for shorter durations of time:
Time | Accuracy | Gains % |
---|---|---|
30 Days | 55% | 0.80% |
90 Days | 49% | -1.48% |
180 Days | 42% | -3.66% |
End of Year | 43% | -4.79% |
In other words – if you sold all stock recommendations exactly 30 days after buying, you would have actually made a 0.8% return throughout the year. This is still a lower return than a savings account, but it is an improvement on losing -4.79%!
For a more in-depth dive into the data, we highly recommend checking out InterTrader’s interactive version of the results.
Markets
3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble
Valuations are much lower than they were during the dot-com bubble, but what else sets the current AI enthusiasm apart?

3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble
Artificial intelligence, like the internet during the dot-com bubble, is getting a lot of attention these days. In the second quarter of 2023, 177 S&P 500 companies mentioned “AI” during their earnings call, nearly triple the five-year average.
Not only that, companies that mentioned “AI” saw their stock price rise 13.3% from December 2022 to September 2023, compared to 1.5% for those that didn’t.
In this graphic from New York Life Investments, we look at current market conditions to find out if AI could be the next dot-com bubble.
Comparing the Dot-Com Bubble to Today
In the late 1990s, frenzied optimism for internet-related stocks led to a rapid rise in valuations and an eventual market crash in the early 2000s. By the time the market hit rock bottom, the tech-heavy Nasdaq 100 Index had dropped 82% from its peak.
The growing enthusiasm for AI has some concerned that it could be the next dot-com bubble. But here are three reasons that the current environment is different.
1. Valuations Are Lower
Stock valuations are much lower than they were at the peak of the dot-com bubble. For example, the forward price-to-earnings ratio of the Nasdaq 100 is significantly lower than it was in 2000.
Date | Forward P/E Ratio |
---|---|
March 2000 | 60.1x |
November 2023 | 26.4x |
Lower valuations are an indication that investors are putting more emphasis on earnings and stocks are less at risk of being overvalued.
2. Investors Are More Hesitant
During the dot-com bubble, flows to equity funds increased by 76% from 1999 to 2000.
Year | Combined ETF and Mutual Fund Flows to Equity Funds |
---|---|
1997 | $231B |
1998 | $163B |
1999 | $200B |
2000 | $352B |
2001 | $63B |
2002 | $14B |
Source: Investment Company Institute
In contrast, equity fund flows have been negative in 2022 and 2023.
Year | Combined ETF and Mutual Fund Flows to Equity Funds |
---|---|
2021 | $295B |
2022 | -$54B |
2023* | -$137B |
Source: Investment Company Institute
*2023 data is from January to September.
Based on fund flows, investors appear hesitant of stocks, rather than overly exuberant.
3. Companies Are More Established
Leading up to the internet bubble, the number of technology IPOs increased substantially.
Year | Number of Technology IPOs | Median Age |
---|---|---|
1997 | 174 | 8 |
1998 | 113 | 7 |
1999 | 370 | 4 |
2000 | 261 | 5 |
2001 | 24 | 9 |
2002 | 20 | 9 |
Many of these companies were relatively new and, at the peak of the bubble in 2000, only 14% of them were profitable.
In recent years, there have been far fewer tech IPOs as companies wait for more positive market conditions. And those that have gone public, the median age is much higher.
Year | Number of Technology IPOs | Median Age |
---|---|---|
2020 | 48 | 12 |
2021 | 126 | 12 |
2022 | 6 | 15 |
Ultimately, many of the companies benefitting from AI are established companies that are already publicly traded. New, unproven companies are much less common in public markets.
Navigating Modern Tech Amid Dot-Com Bubble Worries
Valuations, equity flows, and the shortage of tech IPOs all suggest that AI isn’t shaping up to be the next dot-com bubble.
However, risk is still present in the market. For instance, only 33% of tech companies that went public in 2022 were profitable. Investors can help manage their risk by keeping a diversified portfolio rather than choosing individual stocks.

Explore more insights from New York Life Investments.

-
Markets2 days ago
Recession Risk: Which Sectors are Least Vulnerable?
We show the sectors with the lowest exposure to recession risk—and the factors that drive their performance.
-
GDP3 days ago
Visualizing U.S. GDP by Industry in 2023
Services-producing industries account for the majority of U.S. GDP in 2023, followed by other private industries and the government.
-
Markets3 days ago
Charted: The Industries Where Asian Companies are the Strongest
We look at the share of Asian companies in the top 3,000 global firms—measured by market capitalization in 2020—broken down by industry.
-
Globalization7 days ago
The Top 50 Largest Importers in the World
The value of global imports hit $25.6 trillion in 2022. Here are the world’s largest import countries, and their share of the global total.
-
Markets1 week ago
Ranked: The Biggest Retailers in the U.S. by Revenue
From Best Buy to Costco: we list out the biggest retailers in the U.S., and how much they earned from their stores in 2022.
-
Markets1 week ago
Visualizing 30 Years of Imports from U.S. Trading Partners
Nearly 60% of U.S. imports came from just four trade entities in 2023. We rank the top U.S. trading partners and show their growth over time.
-
Education5 days ago
Ranked: America’s Best Universities
-
Technology1 week ago
Ranked: Largest Semiconductor Foundry Companies by Revenue
-
Misc1 week ago
Visualized: EV Market Share in the U.S.
-
Maps1 week ago
Interactive Map: The World as 1,000 People
-
Brands1 week ago
Ranked: Average Black Friday Discounts for Major Retailers
-
Brands1 week ago
Ranked: Fast Food Brands with the Most U.S. Locations
-
Markets1 week ago
Visualizing 30 Years of Imports from U.S. Trading Partners
-
Markets1 week ago
Ranked: The Biggest Retailers in the U.S. by Revenue