Tag Archives: income

Can You Trust A Roboadvisor With Your Money?

The definition of robo-advisor still isn’t fully set in stone, but roughly speaking it’s a software tool which manages your portfolio and gives financial advice and action items without the need to consult (often) an outside human advisor. Because there are so many Americans with similar financial goals, responsibilities and amounts saved it makes sense to offload some of the advisor burden onto an algorithm; unlike in business, often the best move with your finances is just to do exactly what others are doing and have done before. Can You Trust a Roboadvisor? Survey Says… Gallup set out to answer that very question, asking Americans if they would want a single human financial advisor, a roboadvisor, a combination of the two, access to on-call financial advisors… or other/none/not sure. The plurality went to the human advisors: 49% saying they wanted the individual attention of a single advisor, and 18% opted for the stable of on-call advisors. There was a follow-up question as well which really underscored how wary of roboadvisors we still are: 62% of respondents wanted only human help or a majority of human help, while 27% preferred to trust a roboadvisor with a majority of decisions… with humans on call. Only 9% of respondents wanted only digital advice… surely an important datapoint for the large number of Financial Technology companies currently targeting the space! Robots Don’t Have Good Bedside Manner The survey is worth reading in full, but it leads us to bring up a lot of interesting, recurring themes with human experience and automation. Although we’re warming up… at least in part… to the idea of some of our financial advice and investing tips coming from an algorithm, humans still prefer the emotional check of another human to the cold, calculating rationality of a machine. Can you Trust a Roboadvisor? “Take me to your bank account routing number!” (And this comes up over and over again in various fields!) We alluded to the bedside manner of doctors in this section’s heading, which has long been an important field of study , and can certainly help patient outcome . It came up in elevators – where humans resisted user-operated elevators when elevator operators once were supreme – which has echoes today in state laws and policy. And, perhaps at the forefront of public discussion – it comes up in automated cars (ironically, automated automobiles ), where the safety record of robot-operated vehicles is superb compared to our fallible human peers. Perhaps, like so many other things in life, our reluctance to trust a robo-advisor comes at least in part because of psychology. There is a concept where things that look real but not exactly real (a concept known as the uncanny valley ) cause the greatest reactions of disgust amongst humans (So, FinTech… careful about how friendly you make your robo-advisors). A psychological explanation might mean we are wary of robo-advisors for the same reason we’re wary of zombies – we don’t want something to try to be human, we want there to be some human with responsibility at the end of the day. (Even if we lose a few basis points with the human.) What Benefits Will Come if We Trust our Roboadvisors? There are many great theoretical effects that would come to us if we can convince enough of our peers to trust a robo-advisor. First, the cost benefit is incredible . Like all software, the marginal cost of spinning up another instance of a roboadvisor is just-about non-existant. Just as the marginal cost of you reading this webpage is immeasurable (we serve up 100s of thousands of pageviews a month for < $10), automating common financial advice could go a long way to expanding access for those in most need of help. In other words, it can go a long way towards solving that paradox of financial advice – often those who need it the most are the least able to pay. Second, it can automate a lot of the incredible value-adds that are tough to do today. Tax-loss harvesting is the first thing that comes to mind. If you’re unfamiliar, the IRS allows you to write down your income when you sell stocks at a loss, so long as you don’t buy the exact (or substantially similar) asset within a fixed time frame. It’s incredibly tedious work to always be shifting in and out of funds to capture tax benefits and computing the breakeven for when it is worth making the switch – not to mention the reporting requirements for your tax returns. On top of tax-loss harvesting, robo-advisors and algorithmic management can help you find opportunities in account types, tracking eligibility to the dollar in real time as you earn throughout the year. It can help recognize shortfalls and surpluses in checking accounts, automatically moving money to long term savings. With a little advancement, it can even help you plan purchases – finding the best combination of savings vehicle, and maybe even one day the best rewards when you go to pay for whatever you are buying. And that’s just off the top of my head. Surely you can think of some more. Third, it opens up the best financial advisors to more people. Humans are always going to be better at the human element, no matter how much we end up trusting our robo-advisors. However, a move to majority automatic financial advice would mean our best advisors would have more throughput and be able to see more ‘patients’ – either for periodic checks on a long term plan, or to address those corner cases which software wasn’t built to handle. What Will We See Next? Just like the aforementioned driverless cars, expect to see a lot more innovation in the robo-advisor field. As people appear to not mind at least some of their advice coming automatically, expect to see a lot of financial technology firms moving to advisor-guided robo-advisement sessions, or more human staff on call while people have their robo-advisement sessions. The future is undoubtedly bright in the field, and the momentum towards automation is clearly there. Clearly we’re going to see big changes – even innovation that we had no idea was possible or probable – before too long. The only thing we know for certain is that big changes are coming… and people will probably become more and more comfortable with the offerings out there. So, dear reader – could you trust a roboadvisor with your money today? What would it take for you to give a robot control – or at least allow it to guide you? What do you think we’ll see in the next few years?

Why We Do Not Use Active Management

Index investing or passive investing seeks to track the return of a portion of the market. The opposite is active management, which seeks to beat the return of the markets by using market timing and individual stock selection. Ironically, active managers do worse than the market on average. Active management costs more than passive management. While index investors trade infrequently, active management requires more persistent buying and selling stocks in an attempt to time the markets. These additional trades add costs to the fund. Furthermore, there are a lot of employees involved who get paid. Researchers review company financials, managers make decisions, traders implement these decisions, marketers push the products into the hands of a sales force, and the commission-based sales force takes their promised share. Every buy or sell experiences a spread between the bid and ask price. Buying a stock pushes the share price up as you buy. Selling a stock pushes the share price down as you sell shares. The larger the fund, the more the fund’s own buys and sells pushes the market in the wrong direction. To beat the index, fund managers need to pick the best time to buy and the best time to sell. If fund managers are not pushing the stock in the wrong direction, then for every active manager who is selling a particular stock there is another active manager who must be buying that stock. With active managers on each side of the trade and their higher than normal fees and expenses and they cannot as a group do better than index investing. In 1991, Nobel Prize winning economist William F. Sharpe wrote ” The Arithmetic of Active Management .” In that article, he demonstrated that after costs, the return of the average actively-managed dollar will be less than the return of the average passively-managed dollar. His reasoning is simple mathematics. Actively-managed funds need to return more on average than they cost extra in fees in order to beat the return of passive management. However, on average, there are as many actively-managed funds underperforming the index as outperforming the index. As a result, on average, actively-managed funds have a lower return than passive index funds. The idea of active management is that you should be able to anticipate movements in the market before or at least while they are moving. The idea sounds good in theory, but when put into practice, all you can say with certainty is the movements which have already happened. Our minds want to use the present tense and say “the markets are going” in a certain direction when in fact the markets have gone in a certain direction in the past and we have little or no idea of where they are heading from here. Our own studies have shown that actively trading stocks adds to the fees and expenses without actually producing a better return and that increasing the number of holdings generally increases returns probably because of the additional smaller companies known to have both higher risk and higher return. This principle, that the average active manager underperforms the average passive manager, is true for every possible index not just the S&P 500. Managers expending time and money trying to opportunistically pick the best Far East funds will underperform a lower cost Far East index fund. Managers trying to pick the best small cap stocks fare no better on average than a monkey throwing darts. Active fund managers do seek to beat their respective benchmarks and there is an enormous marketing value to having a fund which has beaten its index for 3 or 5 years even if it did so by luck. When managers are not able to beat their benchmark through stock selection and market timing, they use other techniques. Many purposefully pick an index which they can beat. Fund managers, for example, often have more small and mid-cap stocks than the index would suggest they should have. Or they will include more value stocks in order to do better in down markets. You can achieve the same effect simply by adding a small cap value index fund to your asset allocation. Active managers will often have a significant cash position in the fund. This cash position allows them to do better when markets go down giving them another edge in advertising during volatile times. With index funds, your fund is fully invested, and you could intentionally keep a separate cash position in your portfolio for the same effect and avoid the higher fees and expenses. If all else fails, fund companies simply close the funds which have underperformed the market and open new funds with a blank track record to take their place. Between 2001 and 2012, around 7 percent of mutual funds were closed each year. During that same time, the number of mutual funds grew as new funds were launched to replace them. Fund companies know that investors feel the loss from a prior high water mark much more acutely than they do the gain from a prior trough. Investors regret not being entirely in the best performing asset class more than they appreciate not being entirely in the worst performing asset class. This emphasis on short-term returns rather than long-term process is one we seek to avoid. There will always be funds which have done better than even the most brilliant asset allocation over any finite time period. Instead of active management, we recommend smart portfolio construction. Perhaps the best way to explain the difference between active management and our methodology of portfolio constructions is that our investment philosophy is not dependent on finding the lucky fund manager who can beat the S&P 500 for the next decade. We look at the characteristics of each sector of the markets over long periods of time and we invest in that track record. Only after deciding how much to invest in these categories do we search for a low cost method of purchasing the index fund. At no point are we entrusting reaching our goals to the ability of an up and coming fund manager to pick stocks and time the markets. Given a dozen stellar financial planning firms, only one will have the best returns over any five or ten-year period. Yet given the right methodology, every firm could help clients ensure that they have the best chance to meet their goals and secure a safe and prosperous retirement. Only when we look backward can we see that fund managers rarely outwit bear markets and that mutual fund investors underperform the very mutual funds they are invested in because they chase returns moving out of funds after they have gone down and moving into funds after they have gone up. It is the advisor who recommends sticking to a long-term plan who, in the end, will provide the most value. The wisdom from this analysis is to have a healthy skepticism about any claims of being able to beat the market. The Wall Street Journal had an interesting article a couple of years ago in which they asked a number of experts, ” When would you recommend using active money managers over index funds? ” My favorite answer was from Scott Adams, the creator of the ” Dilbert ” comic strip: I can think of many cases in which I would recommend active money managers over index funds. For example, I might be giving the advice to someone I hate or-and this happens a lot-someone I expect to hate later. I would also recommend active money managers if I were accepting bribes to do so, if I were an active money manager myself, or if it were April Fools’ Day. And let’s also consider the possibility that I might be drunk, stupid or forced to say things at gunpoint. I’ve also heard good things about a German emotion called schadenfreude, so that could be a factor too. No matter the marketing hype, chasing the returns of supposedly lucky active managers is not a good long-term strategy. Instead, there are many index and passive funds with very low fees and expenses which can be used to craft a diversified asset allocation with appropriate risk for your situation, especially your future withdrawal rates.

Cutting Losses With Fisher’s 3 Golden Sell Rules

Returning readers to Investing Caffeine understand this is a location to cover a wide assortment of investing topics, ranging from electric cars and professional poker to taxes and globalization. Investing Caffeine is also a location that profiles great investors and their associated investment lessons. Today we are going to revisit investing giant Phil Fisher , but rather than rehashing his accomplishments and overall philosophy, we will dig deeper into his selling discipline. For most investors, selling securities is much more difficult than buying them. The average investor often lacks emotional self-control and is unable to be honest with himself. Since most investors hate being wrong, their egos prevent taking losses on positions, even if it is the proper, rational decision. Often the end result is an inability to sell deteriorating stocks until capitulating near price bottoms. Selling may be more difficult for most, but Fisher actually has a simpler and crisper number of sell rules as compared to his buy rules (3 vs. 15). Here are Fisher’s three sell rules: 1) Wrong Facts : There are times after a security is purchased that the investor realizes the facts do not support the supposed rosy reasons of the original purchase. If the purchase thesis was initially built on a shaky foundation, then the shares should be sold. 2) Changing Facts : The facts of the original purchase may have been deemed correct, but facts can change negatively over the passage of time. Management deterioration and/or the exhaustion of growth opportunities are a few reasons why a security should be sold according to Fisher. 3) Scarcity of Cash : If there is a shortage of cash available, and if a unique opportunity presents itself, then Fisher advises the sale of other securities to fund the purchase. Reasons Not to Sell Prognostications or gut feelings about a potential market decline are not reasons to sell in Fisher’s eyes. Selling out of fear generally is a poor and costly idea. Fisher explains: “When a bear market has come, I have not seen one time in ten when the investor actually got back into the same shares before they had gone up above his selling price.” In Fisher’s mind, another reason not to sell stocks is solely based on valuation. Longer-term earnings power and comparable company ratios should be considered before spontaneous sales. What appears expensive today may look cheap tomorrow. There are many reasons to buy and sell a stock, but like most good long -term investors, Fisher has managed to explain his three-point sale plan in simplistic terms the masses can understand. If you are committed to cutting investment losses, I advise you to follow investment legend Phil Fisher – cutting losses will actually help prevent your portfolio from splitting apart. DISCLOSURE : Sidoxia Capital Management (SCM) and some of its clients own certain exchange traded funds, but at the time of publishing SCM had no direct position in any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on IC “Contact” page.