How To Make Money in Stocks Part 7: Pick Low-Hanging Fruit 165 comments
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Allied to this theme is: don't try to understand the whole world! (actually that was the original title, but I thought the low-hanging fruit thing sounds more professional)
Actually in my view, investing is a very simple process compared to most other forms of work in the world. Not making money from investing, mind you, but the process in itself. All the talk and academic theories about structuring portfolios, optimising risk-return etc, does it really do anything but add two or three percentage points of return over the market (if one is lucky)? But people actually make a good living out of this, not just fund managers, but also service providers like financial consultants, market forecasters, systems providers, and a myriad of financial-related cottage industries. I look at engineers and the gargantuan structures they come up with: aeroplanes, software, building systems .... and I wonder .... it's incredible that the financial industry is paid so much for coming up with so little! (albeit they have the uncanny ability to blow these little achievements up into monumental state-of-the-art triumphs).
The point to all the above rambling is that we are all exposed to, and have generally accepted, a certain line of thinking: that to achieve good market returns, we have to accumulate as much knowledge as possible about as many industries and countries as possible, so that we can find and take advantage of potential misvaluations. That is how the output of the broking industry has been structured: daily market research, continuous company reseach reports, economic strategy reports, etc.
While there is nothing wrong with building a competitive advantage based on superior knowledge, it makes more sense to identify a few key trends, what I call inevitabilities, that have a higher-than-average probability of materialising, and then focusing on them.
The alternatives are what many people tend to do: (1) try to read as many analyst reports as possible, end up being overwhelmed with the info and betting on the popular themes/sectors of the day; (2) try to enter or exit based on different analyst interpretations of the market outlook ie. market timing; (3) buying and holding stocks based on analyst recommendations of their potential. For (1), the investor tends to be late into the buying process, while passive buying into recommended themes based on day-to-day reports will tend to lead to a bloated and overly diversified portfolio. For (2) market timing based on reports has historically led to being whip-sawed by Mr Market. For (3) the buy-and-hold approach is fine but one must think deeply about the stock and be comfortable with holding it for a couple of years (or else you will end up in the value trap, like Temasek with Merrill Leech/ Bank of Assholes).
One can be inundated with all the information in the world, but there is no point if it cannot be converted into useful knowledge. Different economists, for example, can utilise the same facts and come up with diametrically opposite and yet equally plausible conclusions. Who to believe?
Investors should recognise that economic outcomes, like investing, is really a game of probabilities. There is nothing definite that will happen in the future, it not only depends on the structural issues, but also responses such as governmental reactions, corporate maneouvres and that most elusive of all --- public sentiment. Who knows what would have happened if Lehman had not been allowed to fail last year, for example? A different governmental response would have generated a different outcome.
Perhaps it is best to visualise things in this way: at every point in time, there is a range of possible outcomes that could develop in the future, but with different probabilities of happening. The investor's responsibility is not to understand all these possible outcomes, because it will tire him out trying to monitor all of them. Rather, the optimal approach is to pick out the outcome that has the highest probability of happening, and then invest according to that outcome.
All this sounds very mathematical, so let's illustrate with an example. At the start of 2009, the whole world was very nervous with the possibility of economic breakdown, with reports of problems surfacing in the US, the UK, Russia, emerging markets. Contrarians, however, noted that given the depressed valuations, potential returns could be very good should the situation clear up. So, invest or not to invest? Rather than leave the decision to a matter of faith, a better approach would have been to avoid trying to forecast how the entire world economy would pan out, but rather to identify who the strong players were and the actions they were likely to do. Who were the strong players? Only governments were able to borrow at low rates, so they were the strongest. What were they likely to do? They were under popular pressure to save the world, so obviously they had to apply stimulus in large enough quantities to replace dwindling export demand. The remaining research to be done would then have consisted of identifying which governments were in the best fiscal position to apply aggressive stimulus, and then identifying which industries would have been chief beneficiaries of such stimulus packages.
Half a year down, those who had been invested in China infrastructure builders, like China Communication Construction, China Railway, China National Building Materials etc, would have seen their money double or more. The infrastructure builders of China were the low-hanging fruit in January 2009, because China was in a strong fiscal position to finance a stimulus package, and was under strong political pressure to replace weak export demand with a domestic stimulus to keep its target growth rate up. Injection through infrastructure construction was a natural choice because China had a need for it, and traditionally this had one of the best multiplier effects.
I want to bring the issue of market timing into the discussion. Readers of my blog will know my long-standing philosophy: returns from stocks are typically driven by the market/sector/company in general 40/30/30 proportion (this is a philosophy because I have no statistics to prove this, it is more a belief/rule-of-thumb based on experience and logic), but rather than focus on the market, my approach has always been to focus my attention to deriving useful returns from the balance 60% based on sector and company. That's because I have always felt it's impossible to decipher a system of 1000 moving parts ie. the economy.
Well, the belief on the difficulties of deciphering a complex creature like the economy still remains, but I have modified my approach after watching the sychronised selldown in all asset classes (except Treasuries) in late-2008. The "pick low-hanging fruit" approach also works for the economy. Indeed one of the most inevitable outcomes of 2008's subprime crisis, in retrospect, was the danger of collapse facing the financial system. Hence, not only banking stocks, but indeed a risky asset class like stocks, should have been avoided studiously if one identified this macroeconomic inevitability. It was the "low-hanging fruit" of 2008.
What low-hanging fruit are available as of now? Maybe we could start with thinking about what is inevitable based on trends so far. I can think of two. For one, with low interest rates it is becoming difficult to implement monetary policy stimulus further except to print money, and that implies currency devaluation. Two, governments will continue to apply stimulus but they will have to find ways to finance it. That implies they will have to increasingly borrow from capital markets. This has implications on currency and bond markets. The above two will eventually happen, there're no two ways about it; governments have to take measures along these lines in order to reverse the potentially destructive effects of deleveraging. The low-hanging fruit will probably be found in these two markets.
165 Comments:
Fine, as long as you acknowledge the source when you use the article. :-)
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I like your underlying thesis, i.e. it is all about the low-hanging fruit. However, frankly, I was a bit led down by the example and the illustration. What you are saying, is basically front running the rest of the momentum seekers by smart trading on world event unfolding or is about to unfold. While it certainly is one way to make money, I would argue that this is quite difficult. Not only fair amount of experience and clarity of mind is warranted, the statistical or causal effects that worked in the past may ceise to work due to new context. For instance, one can use the same line of argument and use into AIG or Citibank on the way down, citing that government will pump enough money to salvage it, or legendary investor who made big bucks shoring up Citibank in the 90's. Salvage or not, I would not like to ride the roller coaster as its shareholder... Some fruit may seem low hanging only post event.
I have long enjoyed and respected your viewpoint in the blog. And I do understand that reasonable people will differ. But when I think about low hanging fruit, goes back to the old preaching by Buffett, is when sustainable franchise were sold off due to one-off troubles or better still pure market panic (to your point about 40% of determinant of the price), like AE in the salad oil scandal, or KO post 1987 market crash. I am keep my fingers crossed to have yet another turmoil for me to pick up some real gems at a much better price than today.
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Hello Isiah thanks for your support. To me, picking low-hanging fruit is different from the contrarian approach which your examples are illustrating. Picking low-hanging fruit is basically surveying all the likely trends and assuming they will continue (fundamental momentum), but rather than spreading the bets across all these trends, better to pick a few of the higher probability ones (the low-hanging fruit). It's not going against the grain, but rather, selecting the themes with the best tailwinds.
Point well taken.
By that token, you may be thinking to add GOLD and/or short USD under current circumstances I guess? Fundametal + momentum both seem to be right here...
Again, I could see how that MIGHT work. Yet personally, I still could not get over the following issues:
- No instrinsic value based comfort, no matter how rough the estimate maybe, to quantify the potential upside. More precisely, hard to quantify the margin of safety
- Accordingly, hard to hold on in case of any short term price volatility due to lack of conviction
- Typically these macro event driven momentum are targeting things that are affected by multiple driving forces, often offsetting in nature. So it might be right or it might not - too many things can go wrong here so it is easy to "kill the idea" as a no-brainer, or low-hanging fruit
- You are essentially betting that (1) the momentum is backed by right fundamental, which will continue to move the price to the right direction,
and (2) the price, already rising (along in the "right" trend) due to the momentum, has not fully priced in the fundametals.
It is usually difficult to get comfortable on both but I guess it is particularly hard on the second issue. In absense of reasonable estimate of intrinsic value, one can only rely on "get in before it's hot", which then argues against a well-established pricing trend, e.g. gold in the first place.
Shooting fish in a barrel is always nice. But often times it is only clear in hindsight. What seems to be a cinch at the time may well turn out to be a "fundamental momentum trap". To me, this is why Buffett steer clear of the "fundamental momentum" if the price is largely dictated by the voting machine while the intrinsic value is elusive. These opportunties, goodlooking as they may, will not satisfy the "simple and knowable" filter and shall find themselves in "too hard" tray of yours truly.
BTW, the discussion is getting more interesting. Can I re-phase our discussion a bit and put it my on my obscure blog http://blog.sina.com.cn/u/1280079097
Of course, sources and attribution will be duly noted.
isiah
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I have a web site where I cover stocks under 5 dollars. I have been following stocks under 5 dollars for a very long time. I would like to comment about how to make money in stocks part 7 I am a buy and hold investor to a point not buy and hold forever. their are many stocks today that once traded under 5 dollars a share. here are a few examples. ford motors shares traded at 2 dollars just two years ago today they trade at 19 dollars. pricemarts shares traded at 5 dollars a share seven years ago today they trade at 39 dollars. and laboratory corporation of americas shares traded at just 3 dollars in 1998 today they trade at 91 dollars.so you can still be well rewarded if you are a buy and hold investor
I think your philosophy, in general, makes a lot of sense: Buy undervalued assets in sectors showing a secular trend. Currently, there appears to be long term trends in technologies (mobile/cloud) and emerging markets. Additionally, there may be a window soon to pick up some cheap foreign credit, as you pointed out.
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Masterfully navigating the complexities of investing, this article advocates a pragmatic 'low-hanging fruit' approach, challenging the notion that exhaustive industry and country knowledge is essential for success. The author's insights on identifying key trends or 'inevitabilities' and focusing on high-probability outcomes offer a refreshing perspective. The example of capitalizing on China's infrastructure boom post-2009 illustrates the effectiveness of this approach. A compelling read that simplifies the intricate world of investing with practical wisdom.
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Just as investing involves identifying key trends and focusing on the "low-hanging fruit" with the highest probability of success, pursuing education in data science can be a strategic move in today’s data-driven world. Data science courses like those offered by IIM SKILLS in Kansas equip learners with the skills to analyze trends, identify opportunities, and make informed decisions—similar to how an investor seeks out promising sectors and companies. Both investing and data science require the ability to sift through complexity and focus on what matters most.Data Science Courses in Kansas
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