Investor Education
Human Insight, Computer Power: What is Quantamental Investing?
What is Quantamental Investing?
The world is awash in data like never before. From a person’s morning Uber ride and favorite coffee spot, to the emails sent from their office—all these activities create massive amounts of data, but also behavioral and investment insights.
Warren Buffett’s investment style exemplifies the fundamental approach: “Which companies offer the best returns?”
On the other hand, hedge fund manager James Simons of Renaissance Technologies is a notable example of the quantitative approach: “What is the best way to predict returns?”
Both techniques have one thing in common—they seek excess return from the marketplace, or what is known as “Alpha”.
Quantamental: Combining Quantitative & Fundamental
Today’s infographic from GoldSpot Discoveries outlines quantamental investing as the blending of these two styles, human insight with computer power.
Despite both methods seeking excess returns in the market, there are some key differences:
| Quantitative Analysis | Fundamental Analysis |
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| Cons | Cons |
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| Pro | Pro |
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The arrival of advanced sensor technology and computer processing power is creating huge opportunities for capturing the complexity of human activity on a larger scale.
Could these two distinct methods be fused together?
A New Frontier for Data: Combining Man and Machine
On a larger scale, tracking and storing data can reveal economic patterns over long periods of time. For example, satellite images of a mall’s parking lot can determine the mall’s sales volume. In the finance world, software can track sentiment in earnings call transcripts, and detect word patterns of executives.
The applications of sensor technology stretch across various cases, and could improve overall performance in different industries.
Case #1: Sabermetrics
Picking a winning baseball team is a lot like investing: with limited capital, one needs to optimize player selection and performance to beat the competition. That is why the Major League Baseball Association installed StatScan in 30 ballparks for 3 seasons (2015-2017).
These radar and camera systems captured the raw skills of players in ways that were previously available to or only understood by the baseball scouts.
Scouts are the stock pickers of the baseball. They know the ins and outs of a potential major league player, and consider health, family history, body mechanics and even personalities.
Team managers can use a scout’s insight, against the vast amounts of data collected during a baseball season, to uncover the exact metrics to predict the success of the next great home run or strike-out king.
Case #2: Mineral Exploration
Resource companies spend huge amounts of money on exploration to collect data. However, the volume of data generated is too much for one geologist, or even a team to sift through in a reasonable time.
Machine learning in mineral exploration can take in training data to help identify prospective land for a mineral deposit.
Computer Power with a Human Touch
Quantamental investing seeks to understand the depth and the breadth of the investment world. The goal is to produce superior returns in the marketplace by answering two questions.
- What are the best metrics for predicting success?
- Which are the companies performing the best on these metrics?
Quantamental investing harnesses the raw power and scale of data, coupled with human insight — increasing market returns by finding the next great investment.
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.
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 $3.6 million in 2017. The following table breaks this figure into four components:
| Cost Component | Value ($) |
|---|---|
| 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 Attack | Number of attacks in 2020 | Number of attacks in 2021 | Growth (%) |
|---|---|---|---|
| Spam phishing | 1.5M | 10.1M | +573% |
| Credential phishing | 5.5M | 6.2M | +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 |
|---|---|
| Cloud | 28.0% |
| Network | 25.1% |
| Identity | 17.7% |
| Internet | 15.0% |
| Endpoint | 12.8% |
| Country | Weight |
|---|---|
| 🇺🇸 U.S. | 71.6% |
| 🇮🇱 Israel | 13.2% |
| 🇬🇧 UK | 8.2% |
| 🇯🇵 Japan | 5.5% |
| 🇰🇷 South Korea | 0.9% |
| 🇨🇦 Canada | 0.6% |
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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Investor Education
Countries with the Highest Default Risk in 2022
In this infographic, we examine new data that ranks the top 25 countries by their default risk.
Countries with the Highest Default Risk in 2022
In May 2022, the South Asian nation of Sri Lanka defaulted on its debt for the first time. The country’s government was given a 30-day grace period to cover $78 million in unpaid interest, but ultimately failed to pay.
Not only does this impact Sri Lanka’s economic future, but it also raises an important question: which other countries are at risk of default?
To find out, we’ve used data from Bloomberg to rank the countries with the highest default risk.
The Sovereign Debt Vulnerability Ranking
Bloomberg’s Sovereign Debt Vulnerability Ranking is a composite measure of a country’s default risk. It’s based on four underlying metrics:
- Government bond yields (the weighted-average yield of the country’s dollar bonds)
- 5-year credit default swap (CDS) spread
- Interest expense as a percentage of GDP
- Government debt as a percentage of GDP
To better understand this ranking, let’s focus on Ukraine and El Salvador as examples.
| Country | Rank | Government Bond Yield (%) | 5Y CDS Spread | Interest Expense (% of GDP) | Government Debt (% of GDP) |
|---|---|---|---|---|---|
| 🇸🇻 El Salvador | 1 | 31.8% | 3,376 bps (33.76%) | 4.9% | 82.6% |
| 🇺🇦 Ukraine | 8 | 60.4% | 10,856 bps (100.85%) | 2.9% | 49% |
1 basis point (bps) = 0.01%
Why are Ukraine’s Bond Yields so High?
Ukraine has high default risk due to its ongoing conflict with Russia. To understand why, consider a scenario where Russia was to assume control of the country. If this happened, it’s possible that Ukraine’s existing debt obligations will never be repaid.
That scenario has prompted a sell-off of Ukrainian government bonds, pushing their value down to nearly 30 cents on the dollar. This means that a bond with face value of $100 could be purchased for $30.
Because yields move in the opposite direction of price, the average yield on these bonds has climbed to a very high 60.4%. As a point of comparison, the yield on a U.S. 10-year government bond is currently 2.9%.
What is a CDS Spread?
Credit default swaps (CDS) are a type of derivative (financial contract) that provides a lender with insurance in the event of a default. The seller of the CDS represents a third party between the lender (investors) and borrower (in this case, governments).
In exchange for receiving coverage, the buyer of a CDS pays a fee known as the spread, which is expressed in basis points (bps). If a CDS has a spread of 300 bps (3%), this means that to insure $100 in debt, the investor must pay $3 per year.
Applying this to Ukraine’s 5-year CDS spread of 10,856 bps (108.56%), an investor would need to pay $108.56 each year to insure $100 in debt. This suggests that the market has very little faith in Ukraine’s ability to avoid default.
Why is El Salvador Ranked Higher?
Despite having lower values in the two metrics discussed above, El Salvador ranks higher than Ukraine because of its larger interest expense and total government debt.
According to the data above, El Salvador has annual interest payments equal to 4.9% of its GDP, which is relatively high. Comparing to the U.S. once more, America’s federal interest costs amounted to 1.6% of GDP in 2020.
When totaled, El Salvador’s outstanding debts are equal to 82.6% of GDP. This is considered high by historical standards, but today it’s actually quite normal.
The next date to watch will be January 2023, as this is when the country’s $800 million sovereign bond reaches maturity. Recent research suggests that if El Salvador were to default, it would experience significant, yet temporary, negative effects.
Another Hot Topic for El Salvador: Bitcoin
In September 2021, El Salvador became the first country in the world to adopt bitcoin as legal tender. This means that Bitcoin is recognized by law as a means to settle debts and other obligations.
The International Monetary Fund (IMF) criticized this decision in early 2022, urging the country to revoke legal tender status. In hindsight, these warnings were wise, as Bitcoin’s value has fallen by 56% year-to-date.
While this isn’t directly related to El Salvador’s default risk, it does open potential avenues for relief. For instance, large players in the crypto space may be willing to assist the government to keep the concept of “nation-state bitcoin adoption” alive.
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