The Best Months for Stock Market Gains
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The Best Months for Stock Market Gains

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The Best Months for Stock Market Gains

Many investors believe that equity markets perform better during certain times of the year.

Is there any truth to these claims, or is it superstitious nonsense? This infographic uses data gathered by Schroders, a British asset management firm, to investigate.

What the Data Says

This analysis is based on 31 years of performance across four major stock indexes:

  • FTSE 100: An index of the top 100 companies on the London Stock Exchange (LSE)
  • MSCI World: An index of over 1,000 large and mid-cap companies within developed markets
  • S&P 500: An index of the 500 largest companies that trade on U.S. stock exchanges
  • Eurostoxx 50: An index of the top 50 blue-chip stocks within the Eurozone region

The percentages in the following table represent the historical frequency of these indexes rising in a given month, between the years 1987 and 2018. Months are ordered from best to worst, in descending order.

RankMonth of Year Frequency of Growth (%)Difference from Mean (p.p.)
#1December79.0%+19.9
#2April74.3%+15.2
#3October68.6%+9.5
#4July61.7%+2.6
#5May58.6%-0.5
#6November58.4%-0.7
#7January57.8%-1.3
#8February57.0%-2.1
#9March56.3%-2.8
#10September51.6%-7.5
#11August49.3%-9.8
#12June36.7%-22.4
Average59.1%n/a

There are some outliers in this dataset that we’ll focus on below.

The Strong Months

In terms of frequency of growth, December has historically been the best month to own stocks. This lines up with a phenomenon known as the “Santa Claus Rally”, which suggests that equity markets rally over Christmas.

One theory is that the holiday season has a psychological effect on investors, driving them to buy rather than sell. We can also hypothesize that many institutional investors are on vacation during this time. This could give bullish retail investors more sway over the direction of the market.

The second best month was April, which is commonly regarded as a strong month for the stock market. One theory is that many investors receive their tax refunds in April, which they then use to buy stocks. The resulting influx of cash pushes prices higher.

Speaking of higher prices, we can also look at this trend from the perspective of returns. Focusing on the S&P 500, and looking back to 1928, April has generated an average return of 0.88%. This is well above the all-month average of 0.47%.

The Weak Months

The three worst months to own stocks, according to this analysis, are June, August, and September. Is it a coincidence that they’re all in the summer?

One theory for the season’s relative weakness is that institutional traders are on vacation, similar to December. Without the holiday cheer, however, the market is less frothy and the reduced liquidity leads to increased risk.

Whether you believe this or not, the data does show a convincing pattern. It’s for this reason that the phrase “sell in May and go away” has become popularized.

Key Takeaways

Investors should remember that this data is based on historical results, and should not be used to make forward-looking decisions in the stock market.

Anomalies like the COVID-19 pandemic in 2020 can have a profound impact on the world, and the market as a whole. Stock market performance during these times may deviate greatly from their historical averages seen above.

Regardless, this analysis can still be useful to investors who are trying to understand market movements. For example, if stocks rise in December without any clear catalyst, it could be the famed Santa Claus Rally at work.

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Technology

Thematic Investing: 3 Key Trends in Cybersecurity

Cyberattacks are becoming more frequent and sophisticated. Here’s what investors need to know about the future of cybersecurity.

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The following content is sponsored by Global X ETFs
Global X BUG ETF Global X BUG ETF Holdings

Thematic Investing: 3 Key Trends in Cybersecurity

In 2020, the global cost of cybercrime was estimated to be around $945 billion, according to McAfee.

It’s likely even higher today, as multiple sources have recorded an increase in the frequency and sophistication of cyberattacks during the pandemic.

In this infographic from Global X ETFs, we highlight three major trends that are shaping the future of the cybersecurity industry that investors need to know.

Trend 1: Increasing Costs

Research from IBM determined that the average data breach cost businesses $4.2 million in 2021, up from $3.6 million in 2017. The following table breaks this figure into four components:

Cost ComponentValue ($)
Cost of lost business$1.6M
Detection and escalation$1.2M
Post breach response$1.1M
Notification$0.3M
Total$4.2M

The greatest cost of a data breach is lost business, which results from system downtimes, reputational losses, and lost customers. Second is detection and escalation, including investigative activities, audit services, and communications to stakeholders.

Post breach response includes costs such as legal expenditures, issuing new accounts or credit cards (in the case of financial institutions), and other monitoring services. Lastly, notification refers to the cost of notifying regulators, stakeholders, and other third parties.

To stay ahead of these rising costs, businesses are placing more emphasis on cybersecurity. For example, Microsoft announced in September 2021 that it would quadruple its cybersecurity investments to $20 billion over the next five years.

Trend 2: Remote Work Opens New Vulnerabilities

According to IBM, companies that rely more on remote work experience greater losses from data breaches. For companies where 81 to 100% of employees were remote, the average cost of a data breach was $5.5 million (2021). This dropped to $3.7 million for companies that had under 10% of employees working from home.

A major reason for this gap is that work-from-home setups are typically less secure. Phishing attacks surged in 2021, taking advantage of the fact that many employees access corporate systems through their personal devices.

Type of AttackNumber of attacks in 2020Number of attacks in 2021Growth (%)
Spam phishing1.5M10.1M+573%
Credential phishing5.5M6.2M+13%

As detected by Trend Micro’s Cloud App Security.

Spam phishing refers to “fake” emails that trick users by impersonating company management. They can include malicious links that download ransomware onto the users device. Credential phishing is similar in concept, though the goal is to steal a person’s account credentials.

A tactic you may have seen before is the Amazon scam, where senders impersonate Amazon and convince users to update their payment methods. This strategy could also be used to gain access to a company’s internal systems.

Trend 3: AI Can Reduce the Cost of a Data Breach

AI-based cybersecurity can detect and respond to cyberattacks without any human intervention. When fully deployed, IBM measured a 20% reduction in the time it takes to identify and contain a breach. It also resulted in cost savings upwards of 60%.

A prominent user of AI-based cybersecurity is Google, which uses machine learning to detect phishing attacks within Gmail.

Machine learning helps Gmail block spam and phishing messages from showing up in your inbox with over 99.9% accuracy. This is huge, given that 50-70% of messages that Gmail receives are spam.
– Andy Wen, Google

As cybercrime escalates, Acumen Research and Consulting believes the market for AI-based security solutions will reach $134 billion by 2030, up from $15 billion in 2021.

Introducing the Global X Cybersecurity ETF

The Global X Cybersecurity ETF (Ticker: BUG) seeks to provide investment results that correspond generally to the price and yield performance, before fees and expenses, of the Indxx Cybersecurity Index. See below for industry and country-level breakdowns, as of June 2022.

Sector (By security type)Weight
Cloud28.0%
Network25.1%
Identity17.7%
Internet15.0%
Endpoint12.8%
CountryWeight
🇺🇸 U.S.71.6%
🇮🇱 Israel13.2%
🇬🇧 UK8.2%
🇯🇵 Japan5.5%
🇰🇷 South Korea0.9%
🇨🇦 Canada0.6%

Totals may not equal 100% due to rounding.

Investors can use this passively managed solution to gain exposure to the rising adoption of cybersecurity technologies.

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