Current Commentary

Coming Next

 

TV Series Theory

LA in the 1970s:

Experimental Finance

 

Part I: The Long Goodbye

Comes of Age

 

 

 

 

March 11, 2013

 


Home
Commentaries
Mutual Funds
Risk Management
Experimental Finance
Online Articles
Books and Articles
Finance Notes
Rigged Online
Links
About Us
Contact Info


Google November

by

Ross M. Miller
Miller Risk Advisors
www.millerrisk.com
November 1, 2004


Regular readers of this swatch of cyberspace know that my MBA students have been charged with predicting what the price of Google will settle at the end of the month of November. They also have to create a "hedge" for Google over this period and justify their choices in 1,000 words of less. This week's commentary can be viewed as my submission.

This assignment is devious because Google defies not only logic but also the direct application of textbook financial theory. The method behind this deviousness is simple—no one really understands a theory until they understand its limitations.

If Google were a nice company like GE, one could use the Capital Asset Pricing Model (CAPM) to get both a reasonably future price and could hedge out most of the "market risk" by shorting SPDRs against it. CAPM uses GE's beta, which is conveniently the slope of the line created by fitting a straight line through a graph of GE's returns plotted against the index's, to project future returns. For GE, beta is around one.

Traditional data vendors use five years of monthly returns to generate their beta—I find that a few years of weekly returns gives a more useful number. Because this estimate is biased, an appropriate adjustment factor must be applied to it, making the entire procedure seem like voodoo. (My more "clever" students have already learned the CFO's old trick of figuring out what you want the answer to be and working backwards from there.)

To add to the voodoo, a risk-free rate of return and a market rate must be fed into the CAPM formula. The bottom line is that an average large-cap stock can be expected to increase at a rate of almost 1% a month, a typical tech stock can be expected to increase at a rate of 1.5% a month, and a thrilling tech stock can top 2% a month. The added returns are not free money, they are compensation for bearing market risk according to the CAPM and its many variants. The "error bands" around these estimates tend to be rather wide, so one can follow the cookbook (oops, textbook) and yet be totally wrong—a common occurrence in the financial world that textbooks never address.

No one publishes a beta for Google and there is barely enough daily data to rough out an estimate. (Beta mavens tend to eschew daily returns because they are noisy.) Even with the liberal exclusion of outliers, Google appears to have little regard for what the rest of the market, with the possible exception of Yahoo!, is doing. Any kind of reasonable estimate for beta leads to the conclusion that Google will end November in the ballpark of 195. When one takes into account the current implied volatility of Google (about 17% a month), however, one find that a two standard deviation ballpark has a range of 134 points, from 128 to 262. Darts anyone?

There are two good reasons to believe that Google's price has nothing to do with textbook finance theory. First, Google could be caught in a speculative bubble and textbooks do not like to talk about bubbles. Second, given that the majority owners of Google's stock are in the position to dribble out their shares, they have an ongoing interest to prop up the price of the stock. Google will see some shares emerge from lock-up in November, but several times as many shares are waiting in the wings. The best state of affairs for the Google insiders is for the stock to rise at a steady, but sustainable, clip.

Even though I lack complete confidence in the ability of the Googlers to manage their stock price, I have to go with the sustained bubble for the next month. Predicting where a bubble will be in one month is not easy, but the number is certainly over 200. (Technical analysts must be pleased to see that Google bumped up against "resistance" at 200 on Friday. So what?) Based on a log-linear trend line (which the stock is currently well above) and the use of the MBA's best friend, the Excel FORECAST function, I come up with a November 30 price of 221.24.

Creating the hedge is more difficult. During its rise into the stratosphere, Google has dragged Yahoo! (YHOO) with it. Google is only tenuously linked to the Nasdaq 100 (as represented by QQQ) and seems to move without regard to the S&P Index (SPY). The students who listen to me spout the conventional financial wisdom tend to find that based on Google's brief history, YHOO is the only hedge that stands the test of statistics. The main problem with using YHOO as the sole hedging instrument is that it introduces unnecessary noise into the hedge, something that has troubled some of my more sensitive students.

My best guess is that Google will begin to link up with Nasdaq, most likely because Google will drag the rest of the tech market up with it. My unscientific hedge is to short 3 shares of YHOO and 5 shares of QQQ against each long share of GOOG. Sometimes gut feelings must triumph over statistics (and reason).

If the presidential election is resolved in short order, my next commentary will give my post-election stock market outlook; otherwise, I'll write about grocery stores.

Copyright 2004 by Miller Risk Advisors. Permission granted to forward by electronic means and to excerpt or broadcast 250 words or less provided a citation is made to www.millerrisk.com.