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Terminology: Basic
kinds of stock market investors Investors
ranging from the non-informed to the highly informed characterize the demand
side of the stock market. The following describes four kinds of investor
types: 1) The non-informed investors.
2) The medium informed investors.
3) The highly informed investors.
4) The perfectly informed
investors. The first three investor types are present everyday in actual
stock markets whereas the perfectly informed investor is a hypothetical
construct that functions only as a point of reference. The terminology is used in the following exhibitions about stock price
theory
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There are two kinds of non-informed investors: 1)
Professional investors that have perfectly diversified portfolios. 2) Amateur
investors that have non-diversified investments. Non-informed investors make
no efforts at all to gather and analyze information about the fundamental
value of the stock. Instead they rely exclusively on other and informed
investors preventing the prices from diverting too much from the fundamental
value. In other words, the non-informed investors free ride on the information about fundamental value that
informed investors produces and indirectly make publicly available through
their price determining market interactions. It is interesting that stock prices
function not only to equilibrate demand and supply, but also to convey
information about corporate value / long-term performance. When information
is costless (as it is in perfect markets), prices function only to
equilibrate demand and supply, because everybody knows the value of the goods
they are buying. Non-informed investors typically prefer small stock holdings
to large ones because minor holdings are more liquid.[1] |
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The medium informed investor analyze historical price or
return information. Such analyses are also called technical analyses because
investors use statistical- and econometric techniques to find out whether the
historical price pattern exhibits any regularity. These regularities can be
used to develop trading filter rules that may outperform an ordinary
buy-and-hold strategy in terms of return before trading
fees and salaries to the analysts. The finance literature typically
refers to technical analyses in connection with the weak-form market
efficiency hypothesis indicating that such analyses use only historical price
information.[2] [3]
Unfortunately, this indication is somewhat misleading. Principally, any
information adding predictiveness to a technical model of the stock price may
be used. However, typically technical analyses satisfy with the historical
price information plus a limited set of publicly available statistics.[4]
From a theoretical point of view it is interesting to note that if everybody
in the stock market used only historical price information, the stock price
would contain no information at all about fundamental value, and it would be
completely random! |
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Highly informed investors analyze all publicly
available information in order to estimate fundamental corporate value. This
kind of analysis is called fundamental value analysis. As the name hints, the
analysis tries to determine stock value by investigating the fundamental
value drivers of the firm, such as quality of management, firm operations,
organizational structure, industry specifics, and national regulation, more info here. Such analyses
are conducted by using dividend models, equity models, cash flow models or
some kind of combination of these models. In principal fundamental analysis
may also include the use of insider information. Insider information is
relevant information that is not publicly available.[5]
Fundamental value analysis produces more certain stock price estimates than
technical analysis but it also requires more time by the analysts. Another
issue is that better-informed investors should be expected to have larger
stock holdings than non-informed investors because this increases the return
from being better informed. However, there are limits to this argument. For
example, large holdings are less liquid and it is more difficult to trade
without being discovered by other traders who try to mimic the trade of the
informed traders in order to free ride on their information. Furthermore,
some of the better informed investors are institutional investors, and the
law probates that they own controlling stakes in the firms they invest in. |
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The perfectly informed investors invest 'as if' the cost
of gathering and analyzing information were zero. This is a hypothetical situation, because it is very reasonably to
believe that beyond a certain point the marginal cost of gathering and
processing further information will simply be too high to justify the extra
profit to be made from more certain estimates of fundamental corporate value.
Fundamental value analysts are always able to improve their analysis by
gathering more information and by examining it further. However, it does not
pay because where as the costs principally may go indefinitely high, the
gains are definite. |
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- Copyright 1997-2008, ViamInvest. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Legal notice. |
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[1] The more likely it is to sell and buy stocks in a market without affecting the market price the more liquid the market is said to be. Naturally, the larger the quantity of stocks sold or bought, the less likely is it that the market price is unaffected. Confer Copeland and Weston [1988, page 370] for further information on the liquidity concept.
[2] According to the weak-form (capital) market efficiency hypothesis, the market is weak-form efficient if the market price fully reflects historical price information. The information is fully reflected when no investor can earn any excess return by devising an investment strategy that is based exclusively on historical price information.
[3] This indication may be seen at Malkiel [1987, page 120] or at Milgrom and Roberts [1992, page 467].
[4] For instance, Copeland and Weston [1988, page 385] report that a large American investment advisory service, The Value Line Investor Survey, uses four criteria in a filter rule ranking stocks according to what they predict is the most promising buy. The criteria are: 1) earnings and price rank, 2) a price momentum factor, 3) year-to-year relative change in quarterly earnings, and 4) an earnings ‘surprise’ factor. This is an example of a technical analysis using a limited set of public information.
[5] In finance theory, inside information is normally discussed in connection with the strong-form efficiency hypothesis. The argument is that if it is possible to make money on inside information the strong-form hypothesis is rejected. This is true, but it should not lead one to believe that inside information represents all relevant information. An insider typically only has a fraction of all the relevant information. However, that fraction may be just enough to determine the direction of the market price reaction at the time of publication although it may not be enough to determine the level of the impact.