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||
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.
Ranking Asset Classes by Historical Returns (1985-2020)
What are the best-performing investments in 2020, and how do previous years compare? This graphic shows historical returns by asset class.
Historical Returns by Asset Class (1985-2020)
Mirror, mirror, on the wall, is there one asset class to rule them all?
From stocks to bonds to alternatives, investors can choose from a wide variety of investment types. The choices can be overwhelming—leaving people to wonder if there’s one investment that consistently outperforms, or if there’s a predictable pattern of performance.
This graphic, which is inspired by and uses data from The Measure of a Plan, shows historical returns by asset class for the last 36 years.
Asset Class Returns by Year
This analysis includes assets of various types, geographies, and risk levels. It uses real total returns, meaning that they account for inflation and the reinvestment of dividends.
Here’s how the data breaks down, this time organized by asset class rather than year:
|U.S. Large Cap Stocks||U.S. Small Cap Stocks||Int'l Dev Stocks||Emerging Stocks||All U.S. Bonds||High-Yield U.S. Bonds||Int'l Bonds||Cash (T-Bill)||REIT||Gold|
*Data for 2020 is as of October 31
The top-performing asset class so far in 2020 is gold, with a return more than four times that of second-place U.S. bonds. On the other hand, real estate investment trusts (REITs) have been the worst-performing investments. Needless to say, economic shutdowns due to COVID-19 have had a devastating effect on commercial real estate.
Over time, the order is fairly random with asset classes moving up and down the ranks. For example, emerging market stocks plummeted to last place amid the global financial crisis in 2008, only to rise to the top the following year. International bonds were near the bottom of the barrel in 2017, but rose to the top during the 2018 market selloff.
There are also large swings in the returns investors can expect in any given year. While the best-performing asset class returned just 1% in 2018, it returned a whopping 71.5% in 2009.
Variation Within Asset Classes
Within individual asset classes, the range in returns can also be quite large. Here’s the minimum, maximum, and average returns for each asset class. We’ve also shown each investment’s standard deviation, which is a measure of volatility or risk.
Although emerging market stocks have seen the highest average return, they have also seen the highest standard deviation. On the flip side, T-bills have seen returns lower than inflation since 2009, but have come with the lowest risk.
Investors should factor in risk when they are looking at the return potential of an asset class.
Variety is the Spice of Portfolios
Upon reviewing the historical returns by asset class, there’s no particular investment that has consistently outperformed. Rankings have changed over time depending on a number of economic variables.
However, having a variety of asset classes can ensure you are best positioned to take advantage of tailwinds in any particular year. For instance, bonds have a low correlation with stocks and can cushion against losses during market downturns.
If your mirror could talk, it would tell you there’s no one asset class to rule them all—but a mix of asset classes may be your best chance at success.
How to Avoid Common Mistakes With Mining Stocks (Part 4: Project Quality)
Mining is a technical field that manages complex factors from geology to engineering. These details can make or break a project.
Mining is a technical field and requires a comprehension of many complex factors.
This includes everything from the characteristics of an orebody to the actual extraction method envisioned and used—and the devil is often found in these technical details.
Part 4: Evaluating Technical Risks and Project Quality
We’ve partnered with Eclipse Gold Mining on an infographic series to show you how to avoid common mistakes when evaluating and investing in mining exploration stocks.
Here is a basic introduction to some technical and project quality characteristics to consider when looking at your next mining investment.
View the three other parts of this series so far:
- Mistakes made when choosing a team
- Mistakes made with the business plan
- Mistakes with project jurisdiction
Part 4: Technical Risks and Project Quality
So what must investors evaluate when it comes to technical risks and project quality?
Let’s take a look at four different factors.
1. Grade: Reliable Hen Vs. Golden Goose
Once mining starts, studies have to be adapted to reality. A mine needs to have the flexibility and robustness to adjust pre-mine plans to the reality of execution.
A “Golden Goose” will just blunder ahead and result in failure after failure due to lack of flexibility and hoping it will one day produce a golden egg.
Many mining projects can come into operation quickly based on complex and detailed studies of a mineral deposit. However, it requires actual mining to prove these studies.
Some mining projects fail to achieve nameplate tonnes and grade once production begins. However, a team response to varying grades and conditions can still make a mine into a profitable mine or a “Reliable Hen.”
2. Money: Piggy Bank vs. Money Pit
The degree of insight into a mineral deposit and the appropriate density of data to support the understanding is what leads to a piggy bank or money pit.
Making a project decision on poor understanding of the geology and limited information leads to the money pit of just making things work.
Just like compound interest, success across many technical aspects increases revenue exponentially, but it can easily go the other way if not enough data is used to make a decision to put a project into production.
3. Environment: Responsible vs. Reckless
Not all projects are situated in an ideal landscape for mining. There are environmental and social factors to consider. A mining company that takes into account these facts has a higher chance of going into production.
Mineral deposits do not occur in convenient locations and require the disruption of the natural environment. Understanding how a mining project will impact its surroundings goes a long way to see whether the project is viable.
4. Team: Orchestra vs. One-Man Band
Mining is a complex and technical industry that relies on many skilled professionals with clear leadership, not just one person doing all the work.
Geologists, accountants, laborers, engineers, and investor relations officers are just some of the roles that a CEO or management team needs to deliver a profitable mine. A good leader will be the conductor of the varying technical teams allowing each to play their best at the right time.
Mining 101: Mining Valuation and Methods
In order to further consider a mining project’s quality, it is important to understand how the company is valued and how it plans to mine a mineral resource.
There are two ways to look at the value of a mining project:
- The Discounted Cash Flow method estimates the present value of the cash that will come from a mining project over its life.
- In-situ Resource Value is a metric that values all the metal in the ground to give an estimate of the dollar value of those resources.
The location of the ore deposit and the quantity of its grade will determine what mining method a company will choose to extract the valuable ore.
- Open-pit mining removes valuable ore that is relatively near the surface of the Earth’s crust using power trucks and shovels to move large volumes of rock. Typically, it is a lower cost mining method, meaning lower grades of ore are economic to mine.
- Underground mining occurs when the ore body is too deep to mine profitably by open-pit. In other words, the quality of the orebody is high enough to cover the costs of complex engineering underneath the Earth’s crust.
When Technicals and Quality Align
This is a brief overview of where to begin a technical look at a mining project, but typically helps to form some questions for the average investor to consider.
Everything from the characteristics of an orebody to the actual extraction method will determine whether a project can deliver a healthy return to the investor.
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