Asset Types

Inside the investing kitchen, part 1 Jun 24, 2025 11:30:00 AM The recipe for a better portfolio, and the science behind a safer nest egg. Jamie Lee isn’t a Top Chef, but he knows his way around the kitchen. He dabbles in sous vide with the help of a sous chef (his 6-year-old daughter). He loves smoking salmon low and slow on a pair of pellet grills. And in some ways, his day job on the Betterment Investing team resembles the culinary world as well. He and his teammates work in a test kitchen of sorts, defining and refining the recipes for our low-cost, high-performing, and globally-diversified portfolios. They size up ingredients, pair flavors, and thoughtfully assemble the courses of each “meal.” All in service of customers with varying appetites for risk. It's highly-technical work, but we wouldn't be Betterment if we didn't make our methodologies as accessible as possible. So whether you're kicking the tires on our services, or you're already a customer and simply curious about the mechanics of your money machine, come along for a three-part, behind-the-scenes look at how we cook up a better portfolio. Here in part 1, we'll explore how we allocate your investing at a high level. In part 2, we'll zoom in to our process for selecting specific funds. And in part 3, we'll show you how we handle thousands of trades each day to keep our customers’ portfolios in tip-top shape. The science behind a safer nest egg Betterment customers rely on Jamie and team to do the heavy lifting of portfolio construction. They distill handfuls of asset classes, a hundred-plus risk levels, and thousands of funds into a simple yet eclectic menu of investment options. And underpinning much of this process is something called Modern Portfolio Theory, a framework developed by the late American economist Harry Markowitz. The theory revolutionized how investors think about risk, and led to Markowitz winning the Nobel Prize in 1990. Diversification lies at the heart of Modern Portfolio Theory. The more of it your investing has, the theory goes, the less risk you're exposed to. But that barely scratches the surface. One of the meatiest parts of building a portfolio (and by extension, diversifying your investing) is how much weight to give each asset class, also known as asset allocation. Broadly speaking, you have stocks and bonds. But you can slice up the pie in several other ways. There’s large cap companies or less established ones. Government debt or the corporate variety. And even more relevant as of late: American markets or international. Jamie came of age in South Korea during the late 90s. Back here in the States, the dot-com bubble was still years away from popping. But in South Korea and Asia more broadly, a financial crisis was well underway. And it changed the trajectory of Jamie’s career. His interest in and application of math shifted from computer science to the study of markets, and ultimately led to a PhD in statistics. Jamie Lee (right) helps optimize the weights of asset classes in Betterment portfolios. For Jamie, the interplay of markets at a global level is fascinating. So it’s only fitting that when optimizing asset allocations for customers, Jamie and team start with the hypothetical "global market portfolio," an imaginary snapshot of all the investable assets in the world. The current value of U.S. stocks, for example, represents about two-thirds the value of all stocks, so it's weighted accordingly in the global market portfolio. These weights are the jumping off point for a key part of the portfolio construction process: projecting future returns. Reverse engineering expected returns “Past performance does not guarantee future results.” We include this type of language in all of our communications at Betterment, but for quantitative researchers, or “quants,” like Jamie, it’s more than a boilerplate. It’s why our forecasts for the expected returns of various asset classes largely aren't based on historical performance. They're forward-looking. "Past data is simply too unreliable," says Jamie. "Look at the biggest companies of the 90s; that list is completely different from today.” So to build our forecasts, commonly referred to in the investing world as Capital Market Assumptions, we pretend for a moment that the global market portfolio is the optimal one. Since we know roughly how each of those asset classes performs relative to one another, we can reverse engineer their expected returns. This robust math is represented by a deceivingly short equation—μ = λ Σ ωmarket—which you can read more about in our full portfolio construction methodology. From there, we simulate thousands of paths for the market, factoring in both our forecasts and those of large asset managers like BlackRock to find the optimal allocation for each path. Then we average those weights to land on a single recommendation. This “Monte Carlo" style of simulations is commonly used in environments filled with variables. Environments like, say, capital markets. The outputs are the asset allocation percentages (refreshed each year) that you see in the holdings portion of your portfolio details Hypothetical portfolio; for illustration only At this point in the journey, however, our Investing team's work is hardly finished. They still need to seek out some of the most cost-effective, and just plain effective, funds that give you the intended exposure to each relevant asset class. For this, we need to head out of the test kitchen and into the market. So don’t forget your tote bag.

Inside the investing kitchen, part 3 Jun 24, 2025 11:16:45 AM Order up! See how we handle thousands of trades each day to keep customers’ portfolios humming. When a chef plates a meal, they typically send it off, never to be seen again. But serving up an investing portfolio is an ongoing affair. Deposits come in. Withdrawals go out. Asset classes grow and shrink as the market moves. Rebalancing takes place on the regular. All of this requires daily trading. And this buying and selling of securities is among the most intricate and highly-regulated pieces of our operations. So while the first two parts of this series cover the recipes and ingredients behind our investing, our final course focuses on the team—and tech—behind every transaction. What happens when you hit "deposit" Cara Daly is an adventurer at heart. An avid surfer and the daughter of a flight attendant, she racks up air miles chasing waves and visiting family in Ireland. So naturally, she's gravitated toward one of the more thrill-seeking roles on our Investing team: Capital Markets. From the minute markets open each day, Cara and team monitor the action, making sure our customers' orders go smoothly. These trades can amount to hundreds of millions of dollars in a single day, and the system that executes them all is in many ways our secret sauce. It's custom-built (a rarity in the industry) and plays the role of Mission Control. When a customer clicks "deposit," for example, that single click gets translated into a series of purchases. These in turn get bundled up with other purchases of a like-kind and turned into orders, which are then executed at calibrated intervals as a part of our managed trading strategy. This sort of intentional trading is incredibly important because of the scale of our operations. We manage more than $56 billion of assets, making us the largest independent robo-advisor out there. We may not "make" markets, but our trading volume is big enough to potentially influence them. So we need to be mindful of how and when our trades get executed. “Say the market trades $10 million of a hypothetical security on any given day,” Cara says. “If our customers happen to want $20 million of it, meeting all that demand without minding the bigger context could drive up the price.” To navigate these executional challenges, we deploy multiple strategies as needed (see below for a few examples), evaluating and calibrating each on a continuous basis. Taken altogether, they help ensure our customers' purchases and sales get treated fairly in the market. Waiting out the first half hour after markets open before starting our trading. This helps sidestep some of the volatility that's common early in the day. Trading periodically throughout the day, and randomizing when customers’ orders are processed. It's possible that prices can loosely correlate with certain times of the day, so we don't want that to consistently affect any one customer. Briefly holding back on “system-generated” trading (proactive rebalancing, for example) for any particular fund if its trading reaches a certain threshold relative to its average daily volume. This helps make sure “user-directed” trading (when customers make deposits or withdrawals, to name a few examples) can continue regardless. Partnering with industry experts like Apex to route and execute orders across multiple firms, helping us stay at the forefront of the evolving market landscape. This access to different execution venues also helps seek out the most favorable terms for customers—whether that’s price, speed, or overall execution quality. Switching gears from execution to tax optimization, we also use both primary and secondary funds for most of our asset classes. These backup “tickers” come into play during times of heightened volatility in markets. Moments that can make or break an investing strategy. Acing the stress test of market volatility More often than not, it's business as usual on our Capital Markets team, and that's by design. But during stretches of extreme volatility, when trading volume really picks up and prices can swing wildly from hour to hour, it's all hands on deck. Cara and company monitor our trading system for signs that additional oversight may be needed. They ease emerging bottlenecks in real time and keep things running smoothly, at times enlisting the support of our Trading Engineering team. Cara Daly (left) helps make sure customers’ daily trading goes smoothly. Take April of 2025 for example. Early in the month, the Trump administration caught investors off guard by announcing a series of tariffs way higher and way earlier than expected. The announcement, and the inconsistent messaging that followed, set off a wild, weeks-long stretch of trading. Prices of some securities cratered in the morning only to recover by day's end. Our systems not only weathered this storm, but capitalized on it, taking advantage of small windows of time to harvest tens of millions of dollars in temporary losses for customers before prices recovered. This strategy of tax loss harvesting helps sprinkle tax advantages on a portion of customers' taxable investing, and it wouldn’t be possible without the help of those aforementioned secondary tickers. These funds help avoid “wash sales” while maintaining customers’ desired exposures and risk levels. Something delicious is simmering The image of a golden harvest is an apt one, considering this series looks at our Investing team's work through a culinary lens. Many of our customers come to us not necessarily for a single serving of returns, but to plant the seeds for self-sustaining, long-term wealth. A harvest that supports a more-fulfilling life. Cara and the rest of our Capital Markets experts are a big part of that lifecycle, tending to thousands of daily trades that optimize our customers’ portfolios over and over again. That's the beauty of using technology as a tool to expand our own capabilities and deliver results at scale. It's a people-led process. We became a trusted leader in automated money management not because of our tech, but because of the people who build and use it each day. Specialists like Cara, Josh, and Jamie—They're our secret ingredient, working in service of customers hungry for a better way to invest. Bon appétit.