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Most Banks Are Screwing Up On Their Stock Picks

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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:

Total performance of investment banks

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 performance

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:

Most accurate investment banks

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:

Best returns by investment banks

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:

TimeAccuracyGains %
30 Days55%0.80%
90 Days49%-1.48%
180 Days42%-3.66%
End of Year43%-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.

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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?

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Two bubbles sized according to the forward p/e ratio of the Nasdaq 100 Index during the dot-com bubble (60.1X) and the current AI Enthusiasm (26.4x).

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The following content is sponsored by New York Life Investments

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.

DateForward P/E Ratio
March 200060.1x
November 202326.4x

Source: CNBC, Barron’s

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.

YearCombined ETF and Mutual Fund Flows to Equity Funds
1997$231B
1998$163B
1999$200B
2000$352B
2001$63B
2002$14B

In contrast, equity fund flows have been negative in 2022 and 2023.

YearCombined 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.

YearNumber of Technology IPOsMedian Age
19971748
19981137
19993704
20002615
2001249
2002209

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.

YearNumber of Technology IPOsMedian Age
20204812
202112612
2022615

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.

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