portfolio models


the photo shows a wooden desk with a keyboard, notepad, pen, and balled up pieces of paper

We’re contrarians. We are not satisfied with conventional thinking that portfolio management requires plugging in the right numbers and then following the formula.

It’s not that simple—and it can actually lead investors astray.

Here’s the deal. Modern portfolio theory—one version of the conventional wisdom—uses rigorous statistical models that attempt to quantify volatility and risk in their many forms. The idea is that if you can measure and predict volatility then you can construct a portfolio that has only as much volatility as you desire.

We believe there are a lot of problems with this approach. These models all rely on the assumption that the market will continue to behave rationally. So when the market experiences irrational exuberance, statistical models quickly lose their meaning and begin producing nonsense.

For example, one measure of a stock’s volatility is called its “beta.” The more correlated a stock’s movement is to the broader market, the higher the beta. A high beta stock tends to be a big winner or big loser based on what the market is doing, while a low beta stock generally moves less than the market. A stock can even have a negative beta, where it tends to move the opposite way from the rest of the market!

Under normal circumstances, volatile stocks tend to have a high beta. But when a hot stock gets caught up in a speculative bubble, it can take on a life of its own. A stock on a hot streak that goes up even on days when the market is down will show a lower beta than stocks that follow the market but may still be volatile.

In cases like this, investment managers that are chasing “low beta” may end up with some very volatile holdings in a portfolio that claims to prioritize stability and low market correlation. And investors that are looking to avoid the roller coaster of the stock market may find themselves on an even bigger ride without realizing it.

We believe statistical analysis can be useful, but it cannot compete with timeless investment principles. Trying to quantify volatility exposure can lead to ugly surprises when the underlying models break down.

We think there’s another way. Instead of trying to mathematically capture and avoid it, we believe in living with volatility. If you are investing for the long haul and you know where your cash flow is coming from, you do not need to fret about day-to-day price action.

Clients, if you have questions about this or anything else, please give us a call.

Content in this material is for general information only and not intended to provide specific advice or recommendations for any individual. All investing involves risk including loss of principal. No strategy assures success or protects against loss.

The Model Prisoner

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Model students do all their homework and get top grades. A role model is someone to look up to. Model prisoners earn time off for good behavior.

Model portfolios are a whole different thing.

Model portfolios are the predominant method of managing wealth these days. There is an understandable reason: they can be profitable for the financial firm. Simple to operate, standardized, easy to talk about–and the pie charts look great on paper.

Out in the real world, models have a glaring flaw. Typically, every client in the model owns the same thing—no differences. But there are valid reasons why people with the same investment objective might have portfolios that vary one from another.

For example, our midwestern clients often want to follow the “Oracle of Omaha.” People everywhere would like to own a piece of the hometown company that does well.

A larger source of variation arises from investment ‘holds.’ Think of shares in a leading, well-run company that was trading at an attractive low price years ago. Once purchased, it may make sense to be a percentage owner for the long haul. But after it goes up in value, it is not the bargain it once was, and new clients find better bargains elsewhere.

Or clients may come to us with long-held stocks purchased at low cost many years before. Income taxes would be a problem if they were all sold at once.

These factors and more create valid, useful variations in client portfolios. When we began to build our systems and processes to tailor portfolios to each client, we quickly realized that model portfolios would only be good for us, not you (our opinion). That isn’t how we conduct business.

At 228 Main our research drives the development of rules-based trading protocols that we can effectively apply across client portfolios. Our systems accommodate the concept of the investment ‘hold,’ and your specific instructions about specific holdings. Our rules-based trading helps us aim for the efficiency of models without the drawback of mass standardization, regardless of your circumstances.

Two things help us immensely. You and we seem to be on the same page with how we think about investing—we are a tight group. And the mutual trust is key: you trust us to make the most of whatever is going on; we trust you to persevere.

Clients, if you would like to discuss this or any other pertinent topic in more detail, please email us or call.

The opinions voiced in this material are for general information only and are not intended to provide specific advice or recommendations for any individual. All performance referenced is historical and is no guarantee of future results.

Stock investing involves risk including loss of principal.

All investing involves risk including loss of principal. No strategy assures success or protects against loss.