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On the relationship between stock prices and the quantity of money

The old Quantity Theory of the Value of Money can be expressed
as the "Equation of Exchange," MV=PT, in which M is the quantity of
money, V is the velocity of circulation of money, P is the price level,
and T is the total number of transactions during the period under consideration.
The major shortcoming of the old Quantity Theory was that
velocity (V) was taken to be numerically constant, which it is not.
The new Quantity Theory is a theory of the demand for money as
an asset, productive capital yielding a stream of income in the form
of convenience, security, and so on. According to this theory, people
hold portfolios containing money, bonds, equities, and other assets,
and they adjust their portfolios so that they obtain the maximum returns
therefrom. The demand for money can be expressed in terms of the demand
for other assets (in real terms), the behaviour of the general price
level, people's utility preferences, and their total wealth. Given a
function describing total income, an equation describing the velocity
of circulation of money can be written as the quotient of the income
function divided by the demand for money function. This is the difference
between the new and old Quantity Theories: under the old, the
velocity of money was considered to be a numerical constant; under the
new it is described as a function of income and the demand for money.
In accordance with the above theory, when a monetary disturbance
is introduced by the central bank, people will want to adjust their portfolios in such a way as to compensate for the disturbance. The
initial impact of the monetary disturbance is in the markets for the
most liquid assets: the financial markets. This idea was tested by
correlation analysis on Canadian data of money supply and stock prices
and variants thereof for the years 1924-1967.
Even after the influence of trend had been removed from the
data, statistical support was found for the above theory, but only
after the influence of random variation had been reduced by six-month
moving averaging. However, the evidence—a significant correlation of
.259 between percent change in money and percent change in stock
prices—suggests that monetary change accounts for only about 6.7 percent
of the variation in stock prices. But this conclusion must be tempered
by the realisation that variable lags of the same nature as those that
exist between monetary change and change in the level of business
activity can be expected to exist between monetary change and change in
the level of stock prices. Thus it can be argued that the results of
correlation analysis tend to understate the actual impact of monetary
change on stock prices. / Business, Sauder School of / Graduate

Identiferoai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/41880
Date January 1970
CreatorsMartinoff, Michael
PublisherUniversity of British Columbia
Source SetsUniversity of British Columbia
LanguageEnglish
Detected LanguageEnglish
TypeText, Thesis/Dissertation
RightsFor non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.

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