Historical Results and Commentary
February 11, 2004
Holdings
|
|
Feb-04 |
|
1 |
F |
|
2 |
NBG |
|
3 |
YHOO |
|
4 |
NKE |
|
5 |
BA |
|
6 |
VRSN |
|
7 |
JDSU |
|
8 |
CAT |
|
9 |
JNJ |
|
10 |
NSM |
|
11 |
CA |
|
12 |
FNF |
|
13 |
MSFT |
|
14 |
TKC |
|
15 |
HMC |
|
16 |
CRYP |
|
17 |
X |
|
18 |
AAPL |
|
19 |
COP |
|
20 |
WB |
Performance of Individual Stocks For last 3 months
|
Feb-04 |
|
|
FNF |
36.27% |
|
COP |
20.22% |
|
CAT |
10.21% |
|
NKE |
18.59% |
|
BA |
17.06% |
|
VRSN |
14.30% |
|
JDSU |
46.09% |
|
YHOO |
17.82% |
|
JNJ |
11.90% |
|
NSM |
-6.45% |
|
CA |
16.04% |
|
F |
19.66% |
|
MSFT |
5.22% |
|
TKC |
40.51% |
|
HMC |
8.12% |
|
CRYP |
13.97% |
|
X |
50.67% |
|
AAPL |
10.49% |
|
NBG |
33.87% |
|
WB |
5.51% |
Total Increase (Decrease) since last quarter: 19.50%
Additions: None
Subtractions: None
Commentary:
My
commentary this quarter is on asset bubbles.
Now, it is quite clear that the tech boom in the late 1990s fostered a
bubble that would make even a Dutch tulip salesman sigh with how ridiculous it
was. Furthermore, the period immediately
following the tech crash was marked by incredible bargains in many tech stocks. I did foresee that the tech bubble would be
followed by a period of value creation, and my purchase of several stocks such
as YHOO, NSM,
So, I want to know how bubbles form, what characterizes them, and how do they normalize (a.k.a. pop or deflate).
My general feel is that bubbles form for two reasons. The first is an imbalance of supply and demand, where there is either excess of demand (perhaps caused by surplus liquidity), or as shortage of supply. However, I feel that in these cases markets are generally fairly good at reacting to changes in supply or demand, as often times these can be foreseen ahead of time and occur in a cyclical process.
The second reason bubbles form is that sometimes there are a range of justifiable projections that can be made about certain factors when there is considerable uncertainty or ignorance surrounding them. The tech bubble was a good example of this. No one knew exactly how quickly technology would reshape our society (and I still don’t think we know yet). Since the bulk of the pricing of tech stocks was determined by projecting future growth and profits, and since such growth was inherently unpredictable, then almost any number could be justified. My sense is probably that the investment banking community didn’t mind accepting and actively promoting exuberant growth projections for tech companies, since this process was also fueling a lucrative IPO and financing business. Also, once a bubble like this starts, there is a dangerous positive feedback loop, as short-term results lay the groundwork for fantastic exponential projections out into the future.
The following are some of the characteristics of asset bubbles:
Characteristics of
Asset Bubbles
Asset bubbles fall into three basic categories. There are market-wide bubbles, sector-specific bubbles, and individual stock bubbles (overvaluations).
When a market moves into an asset bubble, the following characteristics often hold true1
When a sector moves into an asset bubble, the following characteristics often hold true:
When a stock moves into a bubble phase, the following characteristics often hold true:
As the three headings above show, I am much better at recognizing market-wide bubbles than sector or individual stock bubbles.
I also am bad at spotting the end of bubbles objectively. I would love to be able to spot the end of a bubble event and the subsequent overcorrection so I can pounce on the market at its low point. Does anyone else out there have any thoughts on the topic or know of resources I can access to deepen my investigation into this question? Thanks.
1Much of this comes from The Intellignet Investor by Ben Graham, pg. 193.
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