Last week we spoke about "business cycles." One of the results of the existence of business cycles is technical trading. We have spoken at length on our web site in the past about technicals and in particular the stochastic.
If you listen to radio or TV reports of what the market is doing they sometimes say things like "technical selling caused the Dow to drop 50 points". We sometimes make similar comments about the bond market. If you want to understand fully why interest rates have some of those strange days, it would help to read this discussion of technical trading and keep it in the back or your mind. (Way in the back of your mind.) If you stay informed about the technical picture of the 30-year bond you can know when technical trading is likely to have an effect of the market and mortgage rates and also become assessed of longer (month-to-month) trends.
Macroeconomics
Shortly after the Great Depression of 1929 people sought answers to the questions "why" and "how can we avoid this in the future". This human tragedy was blamed on lack of understanding of the economy.
John Maynard Keynes published in 1936 The General Theory of Employment, Interest and Money. The General Theory, as it is known, started modern macroeconomics Keynes was to economics what Freud was to psychology. You could agree or disagree with him but he "wrote the book".
Keynes described "business cycles" and we still talk in those terms. Keynes' thinking was that economic fluctuations were caused by changes in savings and investments. Savings and Investments getting "out of whack" are where the troubles begin. While the GT is a great attempt to explain the movement of the economy I think that the foremost reality about economics is that it involves the quasi-rational decisions of large numbers of people. While it does not always "make sense", there is a method to its madness.
People's decisions in regard to buying and selling commodities (such as wheat or bonds) are based not only on external circumstances, such as weather or strikes but also on the "poker game" interplay of greed and the desire to anticipate the actions of the other players. The timing of many investment decisions is therefore based not on educated guesses as to what the economy is going to do but on guessing what other people are going to guess the economy is going to do. This last statement is to be taken literally not figuratively. The collapse of LTCM was, in part, the result of educated but inaccurate guesses about what other investors were going to do.
The movement of commodity prices is the result of the collective decisions of a large number of people. Some working together and some at odds. The movement of prices resembles the "random walk" of a drunk. When you first look at a drunk walking you might conclude that he is not walking toward any particular goal. If you follow him for a bit you will conclude that he is headed is some general direction, say, home, you can actually draw some conclusion about how many steps the drunk will take in any one direction on the way home. Our statistical conclusions about the "path" of the drunk maybe seriously affected by external circumstances. He may run into some friends and head to a new bar. He may be stopped by the police and have his path very seriously altered. But when he is moving there is a measurable pattern to his unpredictable steps.
Bond prices and thus, interest rates, move in a similar manner. They have (usually) a particular long-term goal but get there by a circuitous part, Instead of running into other drunken friends they run into hard economic data and press releases. Instead of getting picked up by the police they get deterred by the Federal Reserve.
The variations in the prices of commodities thus resemble statistical processes. Various mathematical models have been
developed to predict the price of commodities such as treasury bonds.
One of the reasons that Treasury bonds are, in a technical sense, more predictable than other commodities is the sheer "thickness" of the market. The Hunt brothers could never have done to the Treasury market what they did to the silver market.
Technical Trading
It is these mathematical models that constitute the basis of "technical trading". Technical trading is based on the analysis of certain data and the commitment to making decisions to buy or sell based on what the data is doing rather than listening to what analysts are saying.
The "old school" Keynesian concept of the cyclic nature of markets coupled with late 20th century computer technology providing "real-time" decision making tools make technical trading popular.
I think that it is interesting that technical trading is self-actualizing. Even if is not inherently correct, the fact that people believe in it and practice it is inclined to make it so. It is a psychosomatic economic dynamic.
Technical traders make their decisions on one or a combination of several technical indicators. The technical indicators are derived from a constant charting of certain data, if one looks at the data as graphs, the technical indicators say things like "sell when this line cross that line".
We use a technical analysis of 30-year Treasury bond futures as a forecast as our primary tool in forecasting cash Treasury prices and thus mortgage rates. We are implicitly assuming that 1) the cash price moves in harmony with the future and 2) that the 10-year moves in harmony with the 30-year. The first assumption is more or less always accurate. The second assumption is only true as long as the yield curve keeps its shape.
While most folks do not ever trade Treasury futures many of you are familiar with stock option trading and the mathematics which go with option trading. For example, I use Charles Schwab. I can pull up my trading window, enter a stock such as Google and select an option. Looking at the $600 January 2007 call (ZPXAT) I see a last trade of $13.30. In Schwab's tool I can right click on the option and pull down "hypothetical pricing for ZPXAT." This is where you can see the technicals for this option. The numbers of interest are volatility (the more volative a stock is the greater is the chance of a large enough movement so that the option finishes "in the money") and "delta." Delta is the amount that the option price should change with a $1 change in the price of the equity. The other number of interest is "theta" which is the daily decay that the option should be experiencing as time is running out.
While these same techs pertain to Treasuries I have found over the years the best technical analysis of Treasuries to be the stochastic. In part this is becuase of the details provided by Jim Garuer who comments on this each day at http://www.stomaster.com/stopdfdc.pdf. The StoMaster site looks at two numbers %K and %D (defined below). %K tells where the price closed relative to the high and low for the day. %D is a moving average of %K. The stochastic is based on reading the implications of the time graph of the %K line crossing the %D line.
Following are some of the technical data that people watch regarding Treasuries.
Stochastic
When the price of a commodity is rising, its closing price is close to the top of the range for the day. When the price is falling it is close to the bottom of the range for the day. A quantification of this is called the Stochastic Process.
The calculated stochastic variable is called %K
%K = 100[(C-L)/(H-L)] where,
C= Close, H = High, L = Low for the period in question
%K may vary from 0 to 100%, measuring the closing price as a percentage of the total range. Depending on the time frame desired, %K may represent this relationship for a Selected number of minutes, hours, days, weeks, months, years, or any other interval.
One on-line technical Treasury bond analyzer StoMaster presents this data as cycles of 60 minutes, 100 minutes, daily, weekly and monthly.
The Stochastic variable %D is simply a moving average of %K and will, therefore, describe the movements of %K on a smooth lagged basis. A buy/sell Stochastic indicator occurs when the graph of %K crosses the graph of %D Moving Average.
The moving average is the average of the previous n-days closing price. For example, a 10-day simple moving average is the average of the closing prices for the last 10 days. The effect of a moving average is to slow down the price movement so that the longer term trend becomes smoother and therefore more obvious. The longer the period of the moving average, the smoother the price movement.
The technical indicator derived from moving average is Price Cross. When a line tracking prices crosses the line of the
Moving Average a "cross" occurs and there is an indication to buy or sell.
Momentum
Momentum is simply the difference in closing price over a period of time. Momentum is defined as the current closing price minus the closing price of n days ago. Momentum describes how fast the market has been moving. (If you studied Physics you might prefer the term "velocity" but someone got this one wrong.) Momentum is plotted above and below a "zero line" and a technical indication occurs when it crosses the axis.
Directional Indicators
The +DI is the difference between the high of today and the highest high of the past n-days. The -DI is the difference between the low of today and the lowest low of the past n-days. ADX is the directional movement divided by the range over the period.
The +DI attempts to define the strength of an issue's positive price movement while the -DI, or Minus Directional Index tries to determine the strength of the issue's downward movement. I think of it as indication "just how bullish are the bulls"? vs. "just how bearish are the bears"? Generally, if the +DI is greater than -DI and ADX is equal to or greater than 25, then the trend is considered bullish. Conversely, if the +DI is less than -DI and ADX is equal to or greater than 25, then the trend is considered bearish.
Relative Strength Index
The Relative Strength Index (RSI) is a popular overbought/oversold indicator. RSI is an internal strength index that is adjusted on a daily basis by the amount by which the market rose or fell. A high RSI occurs when the market has been rallying sharply and a low RSI occurs when the market has been selling off sharply. The RSI is expressed as a percentage, and ranges from zero to 100%.
One characteristic of the RSI is that it moves slower when it as the extremes of very overbought or oversold. RSI treats price
as if it were a rubber band. It can be stretched so far and then it snaps back very quickly when the market reverses and returns to a "neutral level" relatively quickly and starts a new trend. It "freshens" quickly.
An RSI of about 75 indicates "sell" an RSI of about 25 indicates "buy".