Low-Cost Funds Capture Nearly All of the Market’s Gains (and Losses)

Here’s a quick snapshot that illustrates why Vanguard and other low-cost funds are taking assets from active managers. Via this Bloomberg article. The US stock market has been on a great run for nearly 9 years now, and low-cost funds have been giving investors nearly all of those gains.

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People always chase past performance. The vast majority of index fund money is in US stock funds, and those have the best recent past performance. But when the US stock market eventually stumbles, those low-cost index funds will also be great at passing along all of those losses.

What will happen then? While it hasn’t been very helpful recently, I still agree with those recommending have diversified exposure into other areas like developed international stocks, emerging markets stocks, and high-quality bonds.

Chart: Hours of Work Required To Buy S&P 500

As the US stock market keeps going up, it feels like everyone is whispering the same thing: We are near a top. It’s easiest to do this with numbers. Here’s a valuation metric that divides the price of the S&P 500 stock index by the median US hourly wage. In other words, how many hours of work does it take to buy a unit of the S&P 500?

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Answer: More hours of work than even at the top of the 2000 tech bubble. Found via WSJ Daily Shot newsletter and @ReutersJamie. Original source appears to be BAML (Bank America/Merrill Lynch).

This concerns me of course, but I’m still a buy-hold-and-rebalance investor at roughly 2/3rd stocks and 1/3rd bonds. Sure, we might be at the top. But we could be at new top next week. There are two only possible states: all-time high or drawdown. Here’s a wise observation by @ClementsMoney:

The good news is, many investors are prepared for a stock market decline. The bad news is, they’ve been prepared since 2011.

How Badly Underfunded is Your State’s Retirement Pension Fund? (Infographic)

The state of Illinois narrowly avoided having their S&P credit rating dropped to “Junk” status, but their current rating is already the lowest ever for any state. Their pension promises now total over $200 billion, but they are a bit short… $120 billion short. That’s only 40 cents saved for every $1 owed. Unfortunately, your state might not be doing that much better. Here is a Bloomberg graphic America’s Pension Bomb which shows the funding ratio for every state available:

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This reminds me of a car wreck in slow-motion. Politicians get to make financial promises that can last 30-50 years, but they are only interested in being elected for the next 2-4 years. How will it end? Will states accept the pain now to fix things and get back on track? Or will they just keep kicking the can down the road until faced with huge tax hikes or maybe even a federal bailout?

If you are a municipal bond investor, Vanguard says not to worry: Despite Illinois’s financial troubles, muni market looks strong. Well, it’s good to see that Illinois is only about 1% of their national, investment-grade muni bond funds. I’m not worried about a crisis in the next few years either, but I also don’t see any evidence that things are getting better. I was planning to diversify my muni bond holdings anyway as my income drops in early retirement. Perhaps it’s time to speed up that timetable.

Portfolio Visualizer: Asset Allocation Backtesting and Monte Carlo Simulation Tool

portpie_blank200Here’s another neat (and free!) portfolio analysis tool – PortfolioVisualizer.com. You can upload a custom asset allocation and get all sorts of backtest data and Monte Carlo simulation results from it. If you register for an account, it will remember your model portfolios for future use.

I created a custom portfolio “MMB Default” similar to my current portfolio asset allocation and below are selected charts that were produced. Here’s the summary:

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Historical portfolio growth and annual returns. (Note that the time period shown was limited because the available data for Emerging Markets only went from 1995-2017. Apparently there are some ongoing issues with data licensing.)

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Historical drawdowns during the same period. This provides a good feel of how “painful” it was to hold this portfolio. 2009 was certainly a stressful year when both our portfolio and future job prospects were being questioned.

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Monte Carlo simulation of 4% withdrawal rate over a 30-year retirement period. I used my custom portfolio and had it simulate a withdrawal rate of $40,000 from a $1,000,000 portfolio (4%), adjusted annually for inflation, for a 30-year period. You can alter nearly all of these variables (withdrawal rate, inflation adjustments, period length, etc). Monte Carlo basically looks at many possible trajectories based on historical asset return characteristics. If things turn out well, you end up with a “runaway” portfolio, but if they don’t you can hit zero pretty fast.

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The success rate looks at the percentage of simulated scenarios that end up with a positive value at the end of the period. At a 4% withdrawal rate for 30 years, it was 95%. At a 5% withdrawal rate for 30 years, it was only 84%. At a 5% withdrawal rate for 50 years, it was only 69%.

Here’s where I warn you that Monte Carlo simulations are not the end-all of portfolio safety. You can’t predict the next 50 years when you can barely look back 50 years. Living off a portfolio for decades involves not just a reasonable rate of withdrawal but planning as to how you could cut expenses or create additional income if conditions go sour for an extended time period. I’d rather have 90% theoretical safety and a flexible backup plan over 99% theoretical safety and no backup plan.

Portfolio Visualizer has several additional features that I may never use, but even the above is enough to make it a very interesting tool for the DIY investor. I hope they get their data source issues sorted out eventually. You can find all of my posts about portfolio tools in the Tools & Calculators category.

Jack Bogle Full Interviews with CNN and Business Insider

boglecnn2If you haven’t gotten a dose of Jack Bogle wisdom recently, check out this full Business Insider interview transcript and this 16-minute CNN video interview. There is a lot of ground covered between them. Here are my selected notes:

S&P 500 dividend income reliability. Bogle seems to support the idea of relying on S&P 500 stock dividends to supplement Social Security:

The basic idea of retirement income is, to me, to get a check, two checks every month, one from your fixed income and one from equity account. And you want them to grow over time. Social Security is a cost-of-living hedge, and in the equity account dividends grow over time.

The record of the S&P 500 dividends is almost a complete up trend with only two big declines going back into the ’20s. One would be in 1930s — ’33 or ’34 — and the other is when the banks stocks eliminated their dividends, back in 2009. Those are really the only significant declines in the dividends.

Investors make a big mistake by thinking too much of the value of the account and not enough about the monthly income they want to get. We could have a significant decline in the market with dividends unchanged.

Here’s a chart of the S&P 500 dividend history via Multpl.com:

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Helping investors improve their behavior. For example, 401(k) plans were not designed to be your primary retirement vehicle, and thus have a lot of flexibility built into them. However, this flexibility means a lot of people take money out of their 401(k) when they switch jobs or for loans that never get paid back. A similar thing when people chase performance:

With actively managed funds, people have big behavior problems. With funds that have done well, they put their money in, and when it has done bad, they want to take it out. The index fund always gives you the market return. It may be bad sometimes — it will be bad sometimes — but there’s just no evidence that active managers can win [long term].

Why you don’t see performance-based incentive fees for fund managers. I didn’t know about the SEC symmetrical rule:

The active managers have their work cut out for them. One thing they could do is put in an incentive fee. Get 10 basis points or five [0.10% or 0.05%], unless they beat the market. We’re paying people to beat the market when they aren’t doing it, and when you think about it, that doesn’t make sense.

They can put their expense ratio at 5 [basis points, 0.05%] and get another 1% if they beat the market by X. But they have to, under the SEC rules, be symmetrical. So if they lost to the market by 1%, they would be out of pocket. Managers, at least in this context, are not stupid. They know perfectly well they are going to lose that bet.

What happens if index funds continue to grow in popularity:

Right now I believe indexing to be about 22% to 25% of the marketplace. It’s not disturbing anything. Could it go to 50% and not disturb anything? I believe it could. All you’re doing is immobilizing X percentage of the shares in the market. The remaining 50% can trade away to their hearts’ content.

Could it handle 90%? I think it could, but we’re so far away from that, I don’t spend a lot of time thinking about it. The reality here, however, is that even if the market would reach a level of inefficiency, which everyone says then the active managers can win because then they can find underpriced stocks. [Laughs] It’s such a ridiculous argument it hardly bears refuting. The fact is, if the market is more inefficient, it would be easier for half of the managers to win and by definition easier for half of the managers to lose. Because every purchase is a sale and every sale is a purchase.

This is not a problem that I worry about very much. Markets stay relatively efficient because there continues to be big rewards for those that can figure out any small inefficiency, even for a short period of time. Those rewards aren’t going aways, so markets will stay efficient, and low costs will continue to matter.

Research Affiliates Custom Portfolio Expected Returns Tool

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Investment advisory firm Research Affiliates has updated their interactive Asset Allocation tool, which now provides estimates of expected returns for more than 130 asset classes and model portfolios. There are two expected return models, “valuation-dependent” and “yield-plus-growth”. In addition, you can input your own custom asset allocation.

My initial reaction is that while the tool got new bells and whistles, it also became more confusing to navigate and harder on the eyes. Here’s a screenshot of their scatter plot showing the expected risk and return for several asset classes under their valuation-dependent model.

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I created a custom portfolio “CustomMMB” using my current portfolio asset allocation and it is charted below on their risk/return map. In a separate window (not shown) you can see how each individual asset class contributes to the total expected return.

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As you can see, my portfolio did not offer the maximum expected return for its risk level. The RA efficient model portfolio that did includes an exotic mix of asset classes, including Emerging Markets bonds (non-local currency), Bank Loans, US Private Equity, European Private Equity, and direct investments into US Commercial Real Estate (not through REITs). Unfortunately, I’m not even sure how to access many of those asset classes.

I appreciate that they freely share their research methodology and results, specifically covering the valuation perspective. US Equities have historically high valuations, but interest rates are also at historically lows. The next 10 years should be interesting…

Another portfolio analysis tool that lets you input your specific asset allocation is PortfolioCharts.com Safe Withdrawal Rate calculator. This Research Affiliates tool says my expected 10-year real return is only 2.4% (equates to a nominal expected return of 4.6%). The PortfolioCharts.com tool says the same personal asset allocation has a historical perpetual withdrawal rate of over 4% over a 40-year timeframe.

PortfolioCharts.com Safe Withdrawal Rate Tool (Updated)

eggosI just noticed that PortfolioCharts.com has updated their Withdrawal Rate Calculator. It has improved visualizations and as a personal finance geek I even found it fun. You can enter your specific asset allocation slices down to 1% and see customized results.

The Withdrawal Rates calculator shows the safe withdrawal rate for any asset allocation over a variety of retirement durations based on real-life sequence of returns. Those looking to retire early or leave money to heirs can also see the perpetual withdrawal rate that protected the original inflation-adjusted principal.

You can read about the specifics behind these improvements here. You should also read all the assumptions here. For example:

The withdrawal rate is the percentage of the original portfolio value used for one year of retirement expenses. Each year, expenses are adjusted for inflation (not for portfolio size) to maintain constant purchasing power.

Briefly, a “safe” withdrawal rate (orange) allowed a portfolio to go as low as $1 but never hit zero at the end of the timeframe. In other words, the ride could have still gotten quite hairy for a while. A “perpetual” withdrawal rate (green) never ended up less than the initial principal, even adjusted for inflation. The author Tyler recommends the perpetual WR for early retirees or for people who desire to leave an inheritance for heirs.

Here is the specific chart for my current portfolio asset allocation:

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I would be quite happy with being able to confidently withdraw over 4% (+ inflation adjustments) of my portfolio for the next 40 years. The short-term drawdown paths can still be scary though. The usual caveats with using backtested data also apply.

Playing around, I noticed that the simplest way to change things up was by adding a healthy chunk (~20%) of gold instead of stocks. This seemed to significantly improve the perpetual withdrawal rates in the short-term (0 to 15 years). It’s too bad I still don’t have a firm fundamental understanding of gold. If you can’t maintain faith in it when things are scary, then you shouldn’t own it in your portfolio.

New Low-Cost Broad Commodity ETFs from GraniteShares

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Commodities are an asset class that some investors include in their portfolio for diversification purposes. Depending on the specific index, you might track the futures market for aluminum, coffee, copper, corn, cotton, crude oil, gold, diesel, lean hogs, live cattle, natural gas, nickel, silver, soybean meal, soybean oil, soybeans, sugar, unleaded gas, wheat, and zinc (image source).

In my experience, when commodities prices have been hot, you see them in a lot of portfolios. When commodities prices have been cold (as they have been recently), you don’t read about them as much. Via ETF.com, there are now a new wave of commodity ETFs that hope to gather assets as the next up-cycle begins.

Here are some of the reasons why people didn’t like commodity ETFs in the past (besides the volatility and poor past performance):

  • Higher costs. Expense ratios for most commodity ETFs were above 0.50% annually, with many closer to 1%
  • Late K-1 tax forms. Most commodities ETFs issued Schedule K-1 forms at tax time, which not only were an extra form to file but they also tended to come very late in the year. You might have all your 1099s by the end of January, but your K-1 might not trickle in until March or even April.
  • Some were actually exchange-traded notes (ETNs), which carried credit risk as they were technically unsecured debt obligations of the issuer. In contrast, ETFs hold securities separately in trust with a custodian. If an ETF issuer fails, you still own the underlying assets.

Here are two new ETFs that address the issues above with (1) have lower costs and (2) a new structure that doesn’t issue K-1 forms:

  • GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF (COMB) – This ETF is technically actively-managed, but is benchmarked against the Bloomberg Commodity Index (BCOM). It is structured as a 1940 Act funds and thus does not issue K-1s. The expense ratio is 0.25%. Fact sheet.
  • GraniteShares S&P GSCI Commodity Broad Strategy No K-1 ETF (COMG) – This ETF is technically actively-managed, but is benchmarked against the S&P GSCI commodity Index. It is structured as a 1940 Act fund and thus does not issue K-1s. The expense ratio is 0.35%. Fact sheet.

The 0.25% expense ratio of COMB makes it the cheapest broad commodity ETF available today. (The ETFS Bloomberg All Commodity Strategy K-1 Free ETF (BCI) has an expense ratio of 0.29%.) Now, the following bit from this ETFTrends article brings up the worry that this “no K-1 structure” might produce tracking error against the index.

In an attempt to help investors avoid K-1s, the ETFs do not invest directly in commodity futures but rather gains exposure to these investments by investing a portion of its assets in the GraniteShares BCOM Cayman Limited, a wholly-owned subsidiary of the Fund organized under the laws of the Cayman Islands. The subsidiary is not an investment company registered under the Investment Company Act of 1940 and has the same investment objective and will follow the same general investment policies and restrictions as the funds.

If you don’t buy the futures directly, what are you buying? Are you saying that you are buying a subsidiary that does buy the futures directly? How does that indirect structure change your investment performance? I don’t know and I don’t plan on buying either ETF, but I thought I’d point it out. ETF.com doesn’t seem to be worried:

Technically, both COMB and COMG are actively managed, but in practice, they are mostly passive funds. The futures portion of the portfolio, up to 25%, is held in a subsidiary based in the Cayman Islands and generally reflects the index, while the collateral is held in a cash portfolio holding fixed-income securities that is managed stateside.

The GraniteShares ETFs above only launched 5/22/17 and the last time I checked ETFdb.com only had about $2.5 million in assets so it is too early to make any judgments. The CEO of GraniteShares is William Rhind, who formerly worked at Blackrock/iShares and as the CEO of the popular SPDR Gold Shares ETF (GLD).

If you like low-cost access to the commodities asset class, this looks to be a positive development. I personally choose not to invest in this asset class as I think the long-term returns will be lower than that of equities. (Lower costs should improve the return outlook, however.) Commodities funds may offer the draw of being a diversification “hedge”, but I don’t want to pay the price of lower returns, high volatility, and higher complexity. There are many smart minds that disagree, so do your own research as well.

Don’t Switch Between Cheap Index Funds To Save Money (Try Cheap Milk Instead)

I’ve seen this Schwab commercial multiple times recently, where Schwab touts that one of its index funds costs “3X less than Fidelity” and “4X less than Vanguard”:

I already knew why it bugged me every time I saw it, but I finally ran the numbers. Never mind that this is one cherry-picked fund. Let’s play their game. The index fund in question is the Schwab S&P 500 Index fund at a 0.03% expense ratio. The comparison is the Vanguard 500 Index Fund Investor Shares (VFINX) with an expense ratio of 0.14%. On an investment of $5,000, this works out to $1.50 a year vs. $7 a year. That’s a difference of $5.50 a year, or under 50 cents a month.

But wait, there’s more. Once you reach a $10,000 balance, the Vanguard 500 Index Fund Admiral Shares (VFIAX) will automatically decrease to an expense ratio of 0.04%. Now the difference is $1 per year. That’s 8 cents a month. Schwab funds have been far more expensive than Vanguard for decades, and now that they are bragging about saving you less than 50 cents a month?

Finally, the only way that Schwab can do this is in the first place is that these index funds are a loss-leader. Here’s an excerpt from the Morningstar article Penny-Pinching Index Fund Investors May Pay a Price, which also warns fundholders before switching index fund providers as the tax hit could take decades to overcome.

Existing shareholders in these funds are clear winners in the fee war. But as this race to the bottom nears its inevitable ending (free beta), these investors’ savings will increasingly be measured in dollars and cents. In my mind, these latest exchanges will likely do more to move the needle for fund firms and brokerages like Schwab. In many settings, these low-cost building blocks are simply loss leaders, a cheap gallon of milk meant to entice consumers into the store in hopes that they’ll grab some Cheetos and a pack of gum before they get to the counter.

I think that Schwab has many positive attributes to point out overall, but this commercial was deceptive. I’m happy that low-priced, broadly-diversified index funds are more readily available, but the idea that Schwab is significantly cheaper than Fidelity or Vanguard is laughable. The real numbers show that you could save more money by regularly buying discounted milk than by switching $100,000 from Vanguard to Schwab.

If you haven’t started investing yet, you will most likely be fine with any low-cost provider – iShares, Vanguard, Fidelity, Schwab. If you’ve already started, the absolute cost difference is too small to warrant a change.

Real-World Example of Why High-Cost Index Funds Are The Worst

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Here’s another reminder that in the world of investing, having low costs is more important than owning “passive” index funds. Why? The simplest argument is that index funds can have high expense ratios.

Anyone can open an account at Vanguard, Schwab, Fidelity, or TD Ameritrade and purchase an S&P 500 index fund with expenses of about 0.05% a year. That works out to $50 a year on a $100,000 balance.

Meanwhile, the following companies have the most expensive S&P 500 index funds on the market. These happily charge you $1,000 to $2,300 a year on a $100,000 balance while investing in the same companies in the same amounts. Credit to Meb Faber for compiling this list.

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These could be considered the worst mutual funds out there. Why? If you buy an actively-managed stock-picker fund, at least you have the possibility of outperformance (for a little while at least). You bet on red in roulette even though there is zero and double-zero. With an expensive index fund, you have zero upside. You can’t win. You didn’t even bet on double-zero. Instead, you essentially lit 1% of your money on fire.

Let’s look at the real-world performance of Rydex S&P 500 Fund (RYSYX) and the Vanguard 500 Index Fund (VFINX). Here’s a Morningstar chart showing the relative performance of the Rydex S&P 500 Fund (RYSYX) and the Vanguard 500 Index Fund (VFINX) from the inception of the Rydex fund in mid-2006. This is a “Growth of $10,000” chart, and you can see how the gap just keeps widening over time.

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Here’s a quick takeaway from this chart:

  • Someone who invested $100,000 in the Rydex S&P 500 Fund (RYSYX) from 5/31/06 to 5/21/17 (~11 years ago) would now have $185,183.
  • Someone who invested $100,000 in the Vanguard 500 Index Fund (VFINX) from 5/31/06 to 5/21/17 (~11 years ago) would now have $235,948.
  • That is a difference of over $50,000 with no luck involved as both are passive funds that that legally promise in their prospectus to track the S&P 500 index.
  • Let me repeat: That’s a difference of $50,000 on a $100,000 starting balance over only 11 years! That is real money; actual dollars that someone will not have to spend in retirement. Imagine what that number could grow into over 30 years of saving.

Isn’t that horrible? Now, consider that the reason why someone would buy these funds in the first place was probably due to a human advisor putting their client in such a fund. Therefore, there is the possibility of another layer of advisor fees on top of the fund expense ratios. (Or they could be options in a bad 401(k) plan. It would be really scary if these were the best options on a plan menu.)

I can’t understand how these companies can get away with charging so much for doing so little. According to Morningstar, the State Farm S&P Index fund (SNPBX) currently has $1.4 billion in assets and the Invesco S&P 500 Index fund (SPICX) has $1 billion in assets. Billions of dollars? Why are so many people buying this stuff?!

Real-World Example of Sequence of Returns Risk

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The standard investment advice is the older you get, the more bonds you should hold in your portfolio. There are various rules of thumb like “Age in Bonds” or “Age minus 20 in Bonds”, and so on. On the other hand, stocks have higher historical long-term returns, so shouldn’t we keep as much in stocks as we can?

It’s not just about the long-term average return, you also have to worry about the sequence of returns. I’ve shared a hypothetical example of sequence of returns risk before, but Will Street Project has a great post called Why Drawdowns Matter that illustrates this effect using real-world numbers.

From 2000 to 2016, the overall total return of the S&P 500 Index (large US stocks) and the Barclays US Aggregate Bond Index (broad US bonds) was roughly the same. The sequence for stocks was bad then good. The sequence for bonds was basically a slow, gradual line upwards. Stocks thus lagged bonds for most of the period but caught up and even surpassed bonds a bit by the end.

Here’s what would have happened if you started with $100,000 in either the S&P 500 or the US Aggregate Bond Index and kept on buying $500 per month:

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Here’s what would have happened if you started with $100,000 in either the S&P 500 or the US Aggregate Bond Index and kept on selling $500 per month.

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The difference is that in the top chart you are adding money (and thus buying stocks at a lower price during the bear markets), while in the bottom chart you are taking out money (and thus selling stocks at a lower price during the bear markets).

It is important to note that things would look different if stocks shot up initially and then tapered off, as opposed to stocks struggling initially but then going back up at then end of the period. However, we can’t control the sequence of returns in our own retirements, so we have to be prepared.

One solution is to hold more bonds (or single-premium immediate annuities). Another solution is to use a dynamic withdrawal strategy so that you’re taking out less money during a down market.

If someone promises to pay you back, they probably won’t pay you back.

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Back in the stone age of P2P lending (aka 2006), I used to read through Prosper loan listings one-by-one. Borrowers would outline their monthly budgets showing how they could afford their loan payments, along with explanations of why they needed the money (credit card debt, home improvement, etc.) and why they would pay you back (steady job, good credit history, etc). I’m not sure if this is even an option anymore, but in any case, I wasn’t very good at it.

The New York Magazine article How to Predict If a Borrower Will Pay You Back (excerpted from the new book Everybody Lies) discusses an academic paper that actually analyzed keywords within past Prosper listings against their default history. Consider the following 10 phrases:

  • God
  • promise
  • debt-free
  • minimum payment
  • lower interest rate
  • will pay
  • graduate
  • thank you
  • after-tax
  • hospital

Half of them are used by people most likely to pay back the loan. The other half are used by people who are least likely to pay back the loan. Care to venture a guess which are which?

Generally, if someone tells you he will pay you back, he will not pay you back. The more assertive the promise, the more likely he will break it. If someone writes “I promise I will pay back, so help me God,” he is among the least likely to pay you back. Appealing to your mercy—explaining that he needs the money because he has a relative in the “hospital”—also means he is unlikely to pay you back. In fact, mentioning any family member—a husband, wife, son, daughter, mother or father—is a sign someone will not be paying back. Another word that indicates default is “explain,” meaning if people are trying to explain why they are going to be able to pay back a loan, they likely won’t.

The phrases used by folks who are most likely NOT to pay back their loans are God, promise, will pay, thank you, and hospital. If someone promises that they will pay you back, they probably won’t pay you back. The more emotions are involved, the less likely they are to pay you back.

This is an interesting wrinkle as lending is such a huge part of the investing world – mortgages, bonds, insurance, and so on.