How Algorithms Have Changed the Face of Wall Street
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How Algorithms Have Changed the Face of Wall Street

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Wall Street High Frequency Trading HFT

How Algorithms Have Changed the Face of Wall Street

In these modern times, it feels as if everything (and sometimes, everyone) is being replaced by electronics and computers. The financial industry is no exception. Algorithms have changed the way investors are trading on the stock market and it has made the process incredibly efficient. However, in addition to the benefits of technology in trading, there have been many problems that have come to light.

Through the increased capabilities of advanced computers and algorithms, high frequency trading (HFT) is made possible. High frequency trading is the rapid trade of stock and securities through use of advanced computer tools and algorithms.

While proponents of HFT would argue that they provide liquidity to the market and decrease overall costs, it has also arguably put mom and pop investors at a disadvantage when competing with investment banks and hedge funds. Quite simply, individual investors do not have the technological resources or the proximity to keep up with the speed their larger counterparts trade at.

Financial journalist, Michael Lewis, recently released an expose book, Flash Boys, which focuses on HFT in the American equity market. Mr. Lewis’ book suggests that “the market is rigged” and that stock fraud is rampant through the illegal practice of insider trading.

In the wake of the media storm surrounding the release of the book, the FBI, US Department of Justice, and the New York Attorney General’s office have all launched investigations into HFT practices. The New York Stock Exchange was even fined $4.5 million for charges related to Lewis’ book.

In one famous case of Virtu Financial, the HFT firm lost money on only one day of 1,238 days of trading. With instances like this, retail investors have to ask themselves who is really making the big bucks in the market.

Original infographic from: QuantConnect.com

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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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