Thursday, July 30, 2015

Markets are Interconnected



There are four major markets or asset classes: Stocks, Bonds, Commodities and Currencies.

When it comes to stocks, the US is the largest and most liquid stock market in the world. In the bonds arena, US Treasury Bonds are very important. In commodities, gold, oil and copper are key products. And in the currency space, the US Dollar Index and Euro are kings. I will be doing a series of posts later discussing each asset class in detail.

I feel it’s highly important for investors to understand how these asset classes are one big interconnected web. It is really satisfyingly elegant. As we take a look at the major relationships, there may be a few that will surprise you.


1. Inverse relationship between Bonds and Yields

This is the strongest relationship there is. When a bond matures, you get paid a fixed amount. So the cheaper the bond is to purchase, the more yield you will get. Hence the relationship.


By the way, you can think of the term “yield” as meaning “interest rate.”


2. Inverse relationship between US Dollar Index and Euro

This is the second strongest relationship there is. The US Dollar Index ("USD") is referenced against a weighted sum of foreign currencies. The Euro represents the largest weight at almost 60%. 


Note: The US Dollar is also inversely correlated with the Yen, British Pound and Canadian Dollar, but not nearly as tightly as with the Euro. 


3. Inverse relationship between USD and Commodities

Since commodities are priced in USD, it makes sense that these two would have an inverse correlation. 

I have plotted below USD with Gold. A similar relationship exists between USD and oil & copper. This isn’t the tightest correlation, but nonetheless there is one.



4. Direct relationship between US to non-US stocks ratio and USD

This relationship basically says that the relative performance of US stocks to non-US stocks is mainly driven by changes in USD. This makes sense, since when US stocks are doing better than the rest of the world, foreign investors want to invest in the US. This drives up demand for USD.



5. Direct relationship between Real Bonds and Gold

This one might seem very abstract at first, but let’s think about it. 

First, the term “real” just means “adjusted for inflation.” Second, since bonds are the opposite of yields, we can say that real bond yields are inversely related to gold. 

Now, gold doesn't pay any interest or dividends, but it does cost money to store. So you have to pay up in the hope that it will pay off by going up in price. That usually makes it a pretty lousy investment. That changes, though, when you're being paid to borrow— ie. When real interest rates are negative. Hence the relationship.


6. Direct relationship between Foreign-to-US-stocks Ratio and Mining Stocks

This one may surprise you. But the biggest reason this relationship holds is that compared to the US, foreign markets have a much larger percentage of their GDP coming from the resource sector. The chart below shows how the performance of emerging markets relative to US markets is heavily tied to the gold miners index:



Similarly, the Canadian stock market is heavily commodities-based (40% of the Canada’s TSX Index is based in the resource sector compared to only 20% for the S&P 500). As one would expect, the Canada-to-US-stocks Ratio is also highly correlated with the gold miner's index. 



NOTE: I picked gold miners to compare against here. But I could have used Steel producers or Coal miners as well, as the following chart shows:



7. Direct relationship between Currencies of Resource-Based Countries and Commodities

Similar to relationship #6, the currencies of resource-based countries are highly correlated with commodities such as oil and copper. This makes sense, since when commodities are booming, the GDP of resource-based countries is strong and so foreign investors want to invest in those countries. This increases demand for those countries’ currencies. 



8. Direct relationship between Relative Interest Rates and Currency Exchange Rate

When the interest rates for a country rise, it attracts foreign investors. This causes an increase in demand for that country's currency, which then appreciates in value. The chart below shows the the 2-year Relative Yield (Germany minus US) and how it tracks the Euro.

Source: Jeroen Blokland, Bloomberg

9. Varying relationship between Stocks and Bonds

There is a popular misconception out there that US stocks have a direct relationship with US Treasury yields (and so inverse relationship with bonds). I myself was guilty of believing this for a long time during my market education.

The chart below is from Pimco and shows the annual correlation between US stocks and 10-year Treasury Bonds. From 1927-2012, the correlation between stocks and bonds has ranged from -93% to 86%, changing sign 29 times! It's safe to say there's no reliable relationship here.

 Source: Pimco

Now, that doesn't mean there's no link between stocks and bonds. The Pimco article I linked explains that there are four economic variables that affect the stock-bond relationship: policy rate*, inflation, unemployment and growth. Policy rate refers to monetary policy - when the Central Bank buys/sells bonds to change interest rates (raise rates when economy is strong to curb inflation; lower rates when economy is weak to stimulate it).

Stocks and bonds react in the same direction to policy rate and inflation (eg. if policy rate is dropped, both stocks and bonds go up). But they react in opposite directions to unemployment and growth (eg. when growth is slowing and unemployment is rising, stocks weaken and money flows into bonds as a "flight to safety"). This tug of war between the first two economic variables and second two is why the stock-bond relationship has varied so much.


10. Matrix summary

Here is a handy little matrix I put together to summarize everything I've written about above. Hopefully this shows what I meant about markets being interconnected and elegant.



All the correlations that I've shown so far are true correlations. This means that they can be backed with logical explanations, hold across different periods in time and can be expected to continue holding into the future.

You can use the above matrix to derive new relationships but they won't be as pure. For example: The Yen is inversely related to USD, which is inversely related to gold. That means the Yen is directly related to gold. But we know that gold is also directly related to bonds. Therefore the Yen is directly related to bonds. Now, because we did a lot of conversions, the resulting correlation won’t be very strong as the chart below shows. Furthermore, I cannot give a logical explanation for this one. 



11. How is any of this relevant to Dual Momentum?

This post really dove into the deep end and may leave you scratching your head wondering what any of this has to do with the dual momentum strategy. There are several ways the charts above help Global Equities Momentum (GEM):

  • GEM uses relative momentum to switch between US and non-US stocks. According to relationship #4, we see that GEM therefore protects against, and profits from, fluctuations in the US Dollar. More on this in a future post.
  • If GEM is benefiting from trends in the US dollar, this in turn means GEM exploits commodity cycles to some degree due to relationship #3. For example: from late 2003 to early 2008, GEM was in foreign stocks (during the commodity boom). Then from 2010 to now, it's been in US stocks (during the commodity bust). This concept is further reinforced by relationship #6, which also shows how the performance of foreign stocks relative to US stocks is tied to commodities. 
  • This helps answer the question in my previous blog post: "Should the split of GEM be between developed vs. emerging markets instead of the current US vs. non-US stocks?" The current split means GEM exploits US dollar and commodity cycles. If we changed the split to being developed vs. emerging, then we wouldn't be benefiting as much.
  • GEM uses absolute momentum to switch to bonds when stocks are weak. While stocks and bonds don't have a strong static correlation, we do know that during recessions, stocks often suffer from large drawdowns and there is a flight to bonds during that period (see notes in relationship #9). This is how GEM limits downside risk.

The information in this post is meant to just be another wrench in our toolbox. I also wanted you to get a sense of appreciation for how asset classes are linked together in one way or another. On the surface, markets can seem very noisy and chaotic but the more you study them, the more order you observe.


Sunday, July 19, 2015

What If Emerging Markets Eat Our Lunch?

Source: Stocks for the Long Run by Jeremy Siegel (5th Edition), Page 65

If you are unfamiliar with the term “GEM” please refer to the performance tab of this website for more information.

I was reading Jeremy Siegel's classic book Stocks for the Long Run in greater detail today. In it, there's a chart for projected share of world GDP by country (above) that has me thinking. This chart suggests that emerging markets may produce a larger % of world GDP: from 45% currently, to possibly 70% in under 3 decades.

I have no doubt stocks should be the core of GEM (I'll explain this in a separate post), but the question is whether US vs. non-US stocks is the right split for GEM. Based on the chart above, wouldn't it be better if GEM’s split is developed vs. emerging market stocks?

First, GEM’s creator Gary Antonacci points out the problems with emerging markets as a core holding:
  1. Very high and unusual volatility
  2. Low liquidity/high transaction costs
  3. Accounting unreliability
  4. High fund expense ratios
  5. Limited market history

Second, I want to show how the current GEM setup (which uses a US vs. non-US stocks split) would be able to take care of the economic scenario shown in the above chart. Here’s three reasons how:

  • If emerging markets grow faster than developed countries, then the country holdings of ACWX (the ETF representing non-US stocks in GEM) would shift accordingly. This is the beauty of the GEM strategy as momentum is even working on the ETF level: Strong countries gain a larger share of ACWX while allocation to weak countries shrinks.
  • Developed countries are increasingly generating revenues from emerging markets, so this helps partially offset risk of growth slowing in the developed world. 
  • Siegel points out that as an increasing number of people in developed countries retire, their assets would be bought by increasingly wealthier investors in emerging markets. Yes, I know, this is a shocking realization. But it would keep the assets of developed markets in demand over the long-term.

To summarize, it would be wrong to replace ACWX with EEM (the ETF for Emerging Markets) today in anticipation that China and India may dominate world GDP in the future.  You should never fine-tune your strategy based on one specific economic scenario. Instead, you should ensure that your strategy is robust enough to handle a wide range of scenarios, one of which is the one shown in the above chart.

In a future post, I will show how GEM is robust in different currency environments as well. More to come, stay tuned!

Sunday, July 5, 2015

Never Override Your System



In the previous post, I gave an analogy showing that investors shouldn’t follow a passive (buy-and-hold) strategy. That instead, they should have an active strategy that changes their portfolio to prevent severe bear market drawdowns. This strategy must be systematic, simple and thoroughly researched. In this post, I want to give another analogy to show the importance of not trying to outsmart your system.

Let’s begin.

This weekend, I went to Manning Provincial Park in BC. This is about a 2.5 hour drive from Vancouver and travels mostly along our Trans-Canada Highway #1. As we were driving back home, we were hit by a big traffic jam.

We had three options:
  1. Stay on Highway #1 no matter what because it’s the highway 
  2. Use Google Maps to try and bypass the traffic
  3. Use our own intuition to try and bypass the traffic

Option 1 is analogous to a passive (buy-and-hold) investment strategy. Options 2 and 3 are analogous to active strategies, with 2 being systematic and 3 being discretionary. Just like Google Maps successfully uses traffic data from local drivers to help you dodge traffic jams, a proven systematic investment strategy can help you dodge bear markets.

Immediately, I pulled out my phone and checked Maps for the best way to bypass the traffic. However, the route that Maps was displaying looked strange to me so I used my gut feel to override it. I told my friend who was driving to exit off the highway and get onto this small road that traveled in parallel with the highway.

Initially, we were thrilled to be zipping past all the highway cars. But it wasn’t long before our road ended at a canal. After wasting time searching for a way to get back on the highway, we were significantly behind both method 1 (staying on the highway) and 2 (Google Maps).

From my investing experience, I can tell you that when I first started using a systematic approach, my lizard brain often got in the way and tempted me to override my system. I thought that somehow, my intuition was much more intelligent than an unconscious mechanical model. Whether it was a new fancy indicator that I found or a news headline screaming financial crises after just a small pullback, I would be tempted to go against my plan.

And sure enough, anytime I bypassed my system it was often followed by disastrous results. Just like when I bypassed Google Maps this weekend. There is simply no place in investing for intuition, gut feel and predictions. You must be an unwavering slave to your system.