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:
|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.
The World’s Biggest Real Estate Bubbles in 2021
According to UBS, there are nine real estate markets that are in bubble territory with prices rising to unsustainable levels.
Ranked: The World’s Biggest Real Estate Bubbles in 2021
Identifying real estate bubbles is a tricky business. After all, even though many of us “know a bubble when we see it”, we don’t have tangible proof of a bubble until it actually bursts.
And by then, it’s too late.
The map above, based on data from the Real Estate Bubble Index by UBS, serves as an early warning system, evaluating 25 global cities and scoring them based on their bubble risk.
Reading the Signs
Bubbles are hard to distinguish in real-time as investors must judge whether a market’s pricing accurately reflects what will happen in the future. Even so, there are some signs to watch out for.
As one example, a decoupling of prices from local incomes and rents is a common red flag. As well, imbalances in the real economy, such as excessive construction activity and lending can signal a bubble in the making.
With this in mind, which global markets are exhibiting the most bubble risk?
The Geography of Real Estate Bubbles
Europe is home to a number of cities that have extreme bubble risk, with Frankfurt topping the list this year. Germany’s financial hub has seen real home prices rise by 10% per year on average since 2016—the highest rate of all cities evaluated.
Two Canadian cities also find themselves in bubble territory: Toronto and Vancouver. In the former, nearly 30% of purchases in 2021 went to buyers with multiple properties, showing that real estate investment is alive and well. Despite efforts to cool down these hot urban markets, Canadian markets have rebounded and continued their march upward. In fact, over the past three decades, residential home prices in Canada grew at the fastest rates in the G7.
Despite civil unrest and unease over new policies, Hong Kong still has the second highest score in this index. Meanwhile, Dubai is listed as “undervalued” and is the only city in the index with a negative score. Residential prices have trended down for the past six years and are now down nearly 40% from 2014 levels.
Note: The Real Estate Bubble Index does not currently include cities in Mainland China.
Trending Ever Upward
Overheated markets are nothing new, though the COVID-19 pandemic has changed the dynamic of real estate markets.
For years, house price appreciation in city centers was all but guaranteed as construction boomed and people were eager to live an urban lifestyle. Remote work options and office downsizing is changing the value equation for many, and as a result, housing prices in non-urban areas increased faster than in cities for the first time since the 1990s.
Even so, these changing priorities haven’t deflated the real estate market in the world’s global cities. Below are growth rates for 2021 so far, and how that compares to the last five years.
Overall, prices have been trending upward almost everywhere. All but four of the cities above—Milan, Paris, New York, and San Francisco—have had positive growth year-on-year.
Even as real estate bubbles continue to grow, there is an element of uncertainty. Debt-to-income ratios continue to rise, and lending standards, which were relaxed during the pandemic, are tightening once again. Add in the societal shifts occurring right now, and predicting the future of these markets becomes more difficult.
In the short term, we may see what UBS calls “the era of urban outperformance” come to an end.
Mapped: Distribution of Global GDP by Region
Where does the world’s economic activity take place? This cartogram shows the $94 trillion global economy divided into 1,000 hexagons.
Mapped: The Distribution of Global GDP by Region
Gross domestic product (GDP) measures the value of goods and services that an economy produces in a given year, but in a global context, it is typically shown using country-level data.
As a result, we don’t often get to see the nuances of the global economy, such as how much specific regions and metro areas contribute to global GDP.
In these cartograms, global GDP has been normalized to a base number of 1,000 in order to show a more regional breakdown of economic activity. Created by Reddit user /BerryBlue_Blueberry, the two maps show the distribution in different ways: by nominal GDP and by GDP adjusted for purchasing power parity (PPP).
Before diving in, let us give you some context on how these maps were designed. Each hexagon on the two maps represents 0.1% of the world’s overall GDP.
The number below each region, country or metropolitan area represents the number of hexagons covered by that entity. So in the nominal GDP map, the state of New York represents 20 hexagons (i.e. 2.0% of global GDP), while Munich’s metro area is 3 hexagons (0.3%).
Countries are further broken down based on size. Countries that make up more than 0.95% of global GDP are broken down into subdivisions, while countries that are smaller than 0.1% of GDP are grouped together. Metro areas that account for over 0.25% of global GDP are featured.
Finally, it should be noted that to account for some outdated subdivision participation data, the map creator calculated 2021 estimates for this using the formula: national GDP (2021) x % of subdivision participation (2017-2020).
Nominal vs. PPP
The above map is using nominal data, while the below map accounts for differences in purchasing power (PPP).
Adjusting for PPP takes into account the relative value of currencies and purchasing power in countries around the world. For example, $100 (or its exchange equivalent in Indian rupees) is generally going to be able to buy more in India than it is in the United States.
This is because goods and services are cheaper in India, meaning you can actually purchase more there for the same amount of money.
Anomalies in Global GDP Distribution
Breaking down global GDP distribution into cartograms highlights some interesting anomalies worth considering:
- North America, Europe, and East Asia, with a combined GDP of nearly $75 trillion, make up 80% of the world’s GDP in nominal terms.
- The U.S. State of California accounts for 3.7% of the world’s GDP by itself, which ranks higher than the United Kingdom’s total contribution of 3.3%.
- Canada as a country accounts for 2% of the world’s GDP, which is comparable to the GDP contribution of the Greater Tokyo Area at 2.2%.
- With a GDP of $3 trillion, India’s contribution overshadows the GDP of the whole African continent ($2.6 trillion).
- This visualization highlights the economic might of cities better than a conventional map. One standout example of this is in Ontario, Canada. The Greater Toronto Area completely eclipses the economy of the rest of the province.
Inequality of GDP Distribution
The fact that certain countries generate most of the world’s economic output is reflected in the above cartograms, which resize countries or regions accordingly.
Compared to wealthier nations, emerging economies still account for just a tiny sliver of the pie.
India, for example, accounts for 3.2% of global GDP in nominal terms, even though it contains 17.8% of the world’s population.
That’s why on the nominal map, India is about the same size as France, the United Kingdom, or Japan’s two largest metro areas (Tokyo and Osaka-Kobe)—but of course, these wealthier places have a far higher GDP per capita.
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