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An article in the May issue of the Business Review surveyed Philadelphia’s status as a center for
corporate headquarters. For years the region has ranked high among metropolitan areas as a head­
quarters complex. The article, however, pointed to a number of signs that the area’s headquarters
leadership was beginning to wane. Given many possible reasons for a home-office decline, we have
taken a closer look at one of the suspected causes.

PHILADELPHIA’S
DESIRE TO ACQUIRE
by Elizabeth R. Deutermann

Headquarters of corporations are an economic

CHART 1

asset to a community. Every sign of decline in

PHILADELPHIA’S ACQUISITIONS EXCEED
ITS LOSSES, 1955-1966

these nerve centers of corporate control is of
great concern to a region’s business fraternity.
Philadelphia’s fraternity is no exception.
Recently,

indications

have

emerged which

show Philadelphia is slipping behind its com­
petitors as a center of corporate headquarters.1
The obvious question is why. If one were to sur­
vey local business leaders, a single factor would

1966
1965
1964
1963
1962
1961
1960
1959
1958

carry considerable weight; that is, headquarters

1957

are vanishing as corporations sell themselves to

1956

companies headquartered outside of the region.2
And, it is said, the selling exceeds buying by
local headquarters of companies outside of the
region. The result is a loss of headquarters. In
other words, local acquisitions of firms outside
the region are not keeping pace with outside
acquisitions of firms in the Delaware Valley. So

1955
0
50
100
150
200
250
300
Number of Acquisitions, Cumulated
Sources: Federal Trade Commission, Federal Reserve Bank of Philadelphia.

to find that Philadelphia is a net gainer in this
era of merger fever. During the past 12 years
(1955-1966) firms headquartered in Philadelphia

goes local thinking.

acquired more corporations from outside of the
region than they lost to the rest of the nation.3

The balance sheet

Philadelphia headquarters acquired 306 corpo­
rations from cities and towns outside of the Dela­

It may therefore come as somewhat of a surprise
15ee “ H eadquarters: Centers o f Corporate Control,”
Business Review, Federal R eserve Bank o f Philadelphia,
M a y, 1967.
2 Philadelphia, throughout this article, refers to the
eight-county Philadelphia Standard M etropolitan Area.
It includes the counties o f B ucks, Chester, Delaware,
M ontgom ery, and Philadelphia in P ennsylvania; and the
counties of Burlington, Camden, and G loucester in N ew
Jersey.

B U S IN E S S

R E V IE W

ware Valley. Over the same time span 233 Phila­
delphia-based headquarters were acquired by
companies outside of the region.' In terms of
sheer numbers, Philadelphia’s desire to acquire
resulted in 73 net acquisitions. (See Chart 1 ).
3
Full acquisitions only, as opposed to partial, are in­
cluded in these comparisons.

is produced in the Department of Research. Evan B. Alderfer is Editorial Consultant. Donald R.


Hulmes prepared the layout and artwork. The authors will be glad to receive comments on their articles.
Requests for
http://fraser.stlouisfed.org/ additional copies should be addressed to Bank and Public Relations, Federal Reserve Bank of Philadelphia,
Philadelphia, Pennsylvania
Federal Reserve Bank of St. Louis 19101.

business review

At the source

CHART 3

Industries, nationally or locally, are convention­

ACQUISITION GAINS AND LOSSES IN
MANUFACTURING, 1955-1966

ally grouped into the four sectors shown in
Chart 2. From the chart we see which sectors

Major Contributors to
the Loss

were responsible for the net gain in acquisitions,

(Net Change in Firms)
— 15 — 10 — 5

and to what degree. Of these four major sectors,

Major Contributors to the Gain
10

(Net Change in Firms)
15
20
25
30

I

I------1
CHEMICALS

ELECTRICAL MACHINERY

only wholesale and retail trade combined chalked
up a net loss. Manufacturing corporations of the

INSTRUMENTS
TRANSPORTATION EQUIPMENT
PETROLEUM

region were primarily responsible for the total

PRINTING

net gain in acquisitions.

APPAREL

Chart 2 also points to the relative importance
of manufacturing in the region’s merger activity.
Of all local acquisitions over the past 12 years,
three-fourths of the acquirers and of the ac­
quirees were manufacturing corporations.
While manufacturing is responsible for this
region’s net acquisition success, a few important

TOBACCO
MACHINERY |
PAPER

|

MISCELLANEOUS

|

PRIMARY METALS
STONE, CLAY, GLASS
ORDNANCE
FOOD
TEXTILES
LUMBER

manufacturing industries have provided the real
strength. Within the manufacturing sector, over

RUBBER, PLASTICS

half of the major industries experienced a net

FURNITURE

loss to the region through the acquisition route.
On the other hand, as can be seen in Chart 3,
eight other industries more than compensated for

FABRICATED METALS
LEATHER

Sources: Federal Trade Commission, Federal Reserve Bank of Philadelphia.

the larger loss group. The net gain in acquisi­
tions by the chemical industry alone almost off­
CHART 2

set the total impact of the losers. Along with

MANUFACTURING LEADS IN ACQUISITION
ACTIVITY, 1955-1966
Net Change in Acquisitions

Who Acquired?

Who Was Acquired?

Percentage Distribution

chemicals, the electrical machinery and instru­
ment industries stand out as the area’s acquisition
activists.

What’s it worth?
Merger head-counting has documented a total
net gain in acquisitions to the Philadelphia
metropolitan area. Similarly, such head-counting
has demonstrated a net gain in manufacturing
acquisitions. But we beg an important question.
What is this regional gain worth in dollars and
cents?
For all sectors of the economy, we just don’t
— 20 L
Sources: Federal Trade Commission, Federal Reserve Bank of Philadelphia.




know. But for the most important one, manu­
facturing, we do. And unfortunately the numer-

3

business review

ical gain in manufacturing acquisitions has re­

of manufacturing companies in this region were

sulted in a monetary loss. (See Chart 4.)

being purchased by headquarters outside of the

Historically, manufacturing has provided the

Delaware Valley. But the smaller number of

base for the region’s economy. It supports the

firms this region lost was worth more in terms

area’s service industries. In Philadelphia it gen­

of production. Net numbers of acquisitions ran

erates more jobs than any other sector. And now

counter to their net value.

we see that it is responsible for over three-fourths

Through the merger process, Philadelphia-

of the region’s acquisition activity. These factors
give added significance to a net acquisition gain

headquartered firms lost 18 per cent more than
they gained in control over manufacturing, as

in manufacturing which produced a dollars-andcents loss to the region.

measured by value added. This region’s head­
quarters acquired manufacturing headquarters
from outside of the area whose firms generated
$392 million worth of new production. But now

Over the past 12 years, headquarters of manu­
facturers in Philadelphia acquired companies
outside of the region which, through their pro­

look at the other side of the ledger, as shown in

new control over that production— measured as

Chart 4. During the same time period, local man­
ufacturing headquarters which had been respon­
sible for $461 million worth of new production

value added. At the same time, a fewer number

merged into companies outside of the region.4

duction, added to the nation’s gross national
product. This gave Philadelphia headquarters

As a result of the acquisition process, Phila­
delphia was a net loser of corporate control over
productive activity to the tune of $70 million in

CHART A

THE GAIN IN ACQUISITIONS RESULTED IN
A DOLLARS AND CENTS LOSS
Value Added by Manufacturing Headquarters, 1955 to 1966
Gain

Loss

value added. This is the value of the 18 per cent
net loss experienced by Philadelphia home offices
in control over manufacturing activity since
1955.

Letting in some air
To this point, we have been considering Phila­
delphia’s acquisition and merger experience in
a relative vacuum. Unfortunately, comparable
information on other metropolitan areas does not
exist. However, using the national experience as
a backdrop may shed some light on Philadel­
phia’s acquisitive economy.
For example, of all acquisitions in the United
States and in Philadelphia over the past dozen
years, the same four sectors of the economy were
relatively important. That is, for both the nation
* In the vernacular, if a com pany buys, it “ acquires” ;
if it was bought, it “ m erged” !

4




business review

and the region, manufacturing corporations were
the leading acquirers. They were followed, in
order, by services, trade, and mining.

The United States in microcosm? Philadelphia
has frequently been referred to as a “ miniature
United States” with respect to its industrial struc­

CHART 5

PERCENTAGE DISTRIBUTION OF ACQUIRED
MANUFACTURING AND MINING FIRMS BY
INDUSTRY OF ACQUIRING MANUFACTURING
FIRM, 1955-1966
Percentage

ture— and rightly so. But is this also true in terms
of its acquisitive industries?
For the bulk of this region’s manufacturing in­
dustries the answer is yes, as can be seen in
Chart 5. For most of the 20 major manufactur­
ing industries there is very little difference in the
preeminence of Philadelphia acquirers and the
nation’s as a whole. There are, however, a few
very important exceptions.
In spite of the similarities in the industrial
make-up of the region and the nation, the food,
nonelectrical

machinery,

and

transportation

equipment industries are much more merger-

Sources: Federal Trade Commission, Federal Reserve Bank of Philadelphia.

minded nationally than locally. But on the other
hand, chemical, electrical machinery, and in­
strument corporations in Philadelphia have

“ smelling like a rose.” Yet, recalling the net

been more aggressive
national counterparts.

Part of the answer to this paradox may be
found in the size of regional firms which have
been most merger-minded. Size, in general, is

acquisitors than their

The fact that Philadelphia corporations have
had the highest acquisition rates in the three
industries noted above should lend considerable
strength to the economy. This can be seen by

value lost, the rose looks a bit wilted.

a very important factor in who acquires whom.
The larger corporation seeking growth through
acquisitions usually buys out a smaller firm. Of

again comparing the nation’s experience with

course there are occasions in which an ant swal­

the region’s. The manufacturing firms acquired

lows an anteater. But the incidence is rare.

by local headquarters over the past 12 years are

Chart 6 graphically depicts this size bias of

in industries which are expected to be rapid-

acquiring firms. During the past 12 years, both

growth industries in the future. On the average,

nationally and regionally, the great majority of

United States corporations are buying up com­

manufacturing firms acquired were bought by

panies in industries with slower growth expecta­

companies with assets of $10 million or more.

tions. The logical conclusion is that our past
acquisition activity (1955-1966) has been head­
ing in the right direction— heading for growth.

But as the chart shows, a higher proportion of
manufacturing firms in the nation were acquired

Value revisited. Both in terms of numbers of

more than was the case in Philadelphia. This

net acquisitions and the industrial composition of

fact gains added significance in light of Phila­
delphia’s high concentration of corporations of

what was acquired, the region should come off




by corporations with assets of $100 million or

5

business review

this size relative to the nation as a whole. The

the firms they acquired from outside of the region

data suggest that the region’s corporations in the

were smaller than their Philadelphia buyers.

top bracket are not quite so actively acquisitive

Merger myopia

as their counterparts elsewhere.
Firms acquired by Philadelphia corporations

Why has the Philadelphia business community,

with assets in the $10 million to $50 million

along with similar groups in other major metro­

range were also less heavily concentrated than

politan areas, been so quick to blame the loss of

was the case nationally. However, local corpora­
tions between these two top groups exhibited a

headquarters on acquisitions? More specifically,

greater acquisition tendency than did their na­

why has it assumed that a gain in net acquisi­
tions would improve the region’s headquarters’

tional counterparts. (See Chart 6 ). In summary,

position?

it is at the top of the scale— from $10 million
in assets upward— where the big firms are more
actively acquiring the smaller ones. And it is here
that the nation’s acquisition rate exceeds that of

Probably because of some confusion about the
relationship between acquisitions and head­
quarters. Suppose we see a bold newspaper head­
line noting that a Dallas-headquartered firm has

the Philadelphia region.
Since the general tendency is for the larger

acquired

firm to acquire the smaller, the lower half of

about the expected damage to the local economy

Chart 6 suggests one possible reason for the

— in the loss of local decision-making, services

region’s gain in numbers and loss in value. Small
corporations in this region are the most acquisi­

purchased, plant and equipment put in place, and

tive relative to the national trend. Our het is that

a

large

Philadelphia-headquartered

firm. From past experience we may generalize

employment.4 Therefore fear of a net loss in
acquisitions generates fear of a net loss in head­
quarters. Shouldn’t the same process work in
reverse ?

CHART 6

Unfortunately for Philadelphia it does not.

DISTRIBUTION OF ACQUIRED MANUFACTURING
AND MINING FIRMS BY ASSET SIZE
OF ACQUIRING FIRMS, 1955-1966

The net gain in acquisitions experienced here
over the past 12 years does not imply a net gain
in headquarters. For example, if this region’s

Assets of Acquiring Corporations (Millions of Dollars)

headquarters made 30 acquisitions and in the
same year only one corporation in the region
was purchased by a company headquartered in,
say, New York, the area would have a net
acquisition figure of 29. Nevertheless, it would
have lost a headquarters. The 29 acquisitions
would have enlarged this area’s existing homebased corporations, but the acquisitions would
not have added any new headquarters to Phila­
delphia’s economy.,
Relating headquarters to acquisitions can lead
0
10
20
30
Percentage of Acquired Firms
Sources: Federal Trade Commission, Federal Reserve Bank of Philadelphia.

6



40

4S ee footn ote 1.

business review

to other points of confusion if we are not cau­

the Old Philadelphia Development Corporation,

tious. For instance, a net loss through acquisi­

for example, to create a prestige headquarters

tions could be indicative of a prospering econ­

center around Independence Mall is a move in
the right direction. In addition, personal contacts

omy. Firms seeking acquisitions usually are not
looking for “ dogs.” In general, they want to buy

can be one of the most valuable means of at­

companies with good products, customers, growth

traction not now fully utilized. Presidents and

potential, and talented management— or what­

board members of Philadelphia corporations are

ever may be needed to aid their present corporate

often the first to know, through their private

structures to become more profitable.

pipelines, when a headquarters is seeking a new

To take another important example, the loss of

site. The sales talents of these men can be put to

corporate headquarters may be confused with
the health of the regional economy in general.

good use in selling the region as the right one for
headquarters’ relocation.

There is no proof that a company acquired in a

And finally there is a basic job to be done in

region will make any less contribution to the

educating existing Philadelphia-headquartered
firms on the acquisition process. Of course,

local economy after the merger than before it.

whether the acquisition route is the best one for

Corrective lenses

expansion is a decision each corporation has to

Nevertheless, business and civic leaders in Phila­

make in light of its own situation. However, a

delphia, and other major metropolitan areas,

growth company with an active acquisition policy

know headquarters are a special kind of asset to
their communities. In the Philadelphia area, one

and program will probably grow still faster
than one relying on internal growth alone. Con­

goal of such leaders is to increase the region’s
stature as a corporate headquarters center. This

summated acquisitions will not create a new

means adding new headquarters to the economy

stem out-migration of headquarters.

and holding on to those the area already has.

headquarters are acquisition-minded and see tan­

To accomplish this, community encouragement
of the generation of new firms in the region is
essential. Each new company born in the area is

gible results in growing control over corporate

headquarters in the region but they may well
If local

wealth, they are less apt to be merger-minded.
They will be seeking sellers, not buyers.

automatically a headquarters. If the community

A locally headquartered company which is

lends support to the company’s initial internal

not in such a mood might mull over Chart 5.

growth, the firm may well find its next step

Is its own industry a vigorously acquiring one

to speed growth is through acquisitions. Never­

nationally? If so, how does its corporate acquisi­

theless, as the “ urge to merge” moves yearly to

tion program compare? Or does it even have

new peaks, some headquarters inevitably will

such a program? Does it need one at its par­

be lost. But to minimize this loss, each new com­

ticular stage of development? Only the individ­

pany should consider including in its manage­

ual company can answer. But it is folly to avoid

ment tool kit the skills of acquiring, as a hedge

the questions.

against being acquired.

In stemming the tide of headquarters out­

Second, the community can work to attract re­

migration by way of acquisitions, two groups of

locating corporate headquarters. Endeavors of

Philadelphia home offices, in particular, might




7

business review

assess their acquisitive attitudes relative to their

terms of financial strength, which are not pulling

growth

their weight as acquirers.

requirements.

They

are corporations

which have assets either between $10 million
and $50 million or over $100 million.

(See

Chart 6.) They are companies which can best
afford to be in the acquisition game. Because of
size they can bring greater control over cor­
porate wealth into the region. And they are the
most important groups of local headquarters, in

Acquisitions do not bring corporate head­
quarters to a region. But they do add to local
control over corporate decision-making and na­
tional wealth. In contrast, acquisitions by “ out­
siders” reduce the number of home offices in
a region. One prerequisite in preventing the loss
of corporate headquarters from Philadelphia is
a powerful desire to acquire.

APPENDIX
We are indebted to the Bureau of Economics of
the Federal Trade Commission (FTC) for pro­

was recorded by the FTC, one of the most diffi­
cult tasks was determining the headquarters lo­

viding the basic data for this article. The Com­

cation by metropolitan area. Another problem in­

mission maintains records on acquisitions which

volved measuring the value of acquisitions. While

it obtains primarily from Moody s Industrials

asset data were virtually complete for acquiring

(semi-weekly), Standard Corporation Records

firms, both asset and sales data from the FTC

(daily), the Wall Street journal, the Journal of

were sketchy for corporations acquired. There­

Commerce, the New York Times, and Dun and

fore, in order to estimate value added for each

Bradstreet. Corporations recorded in the FTC

corporation

merger file include all manufacturing and min­

the manufacturing file, the average value added

ing industries, wholesale and retail trade, and

by United States corporations in each four-digit

contract construction but only selected services,
transportation, and financial, real-estate and in­

Standard Industrial Classification Manual for

surance companies.

(as opposed to establishment)

in

industry was computed, as classified by the
the years 1958 and 1963 (the most recent Cen­

Detailed data on acquisitions by acquiring and

sus years). Data for 1958 were used for acqui­

acquired companies are unpublished. They were

sitions during the period 1955 to 1959, and

made available to us by the Commission, with

data for 1963 for the years 1960 to 1966. The

the stipulation that there would he no corpora­

basic information may be obtained from the U. S.

tion disclosure.
The information was first recorded by us on a

Department of Commerce, Bureau of the Census,
Census of Manufactures, 1963, Vol. III.

company basis from the Commission’s I.B.M.

The FTC merger data include both consum­

cards. Data not available on the cards were

mated and pending or proposed acquisitions.

obtained from numerous industry sources, in­

The Bank staff chose only verified consummated

cluding FTC files, by the staff of the Federal

acquisitions for analysis. The staff also used only

Reserve Bank of Philadelphia.

“ full” as opposed to “ partial” acquisitions in
preparing data for this article. Full acquisitions

Although the home state of the corporation

8




business review

include those for which more than 50 per cent

Statistics of Output, Employment, and Produc­

of the assets or stock of a company was acquired.

tivity: U. S. Economy and Selected Industries,

References in the article to projected growth

1947-1985, National Economic Projection Series,

rates of industries are based on studies of the

Report No. 65-1, N.P.A., Washington, D. C.,

National Planning Association.

(See Revised

1965.)

DEPOSIT VARIABILITY:
A BANKER’S HEADACHE
by Hugh Chairnoff

Deposit management is a complicated affair.
Bankers know there is nothing in the world to

THE VARIABILITY INDEX

assure them that deposit inflows will match de­

Bankers measure variability in terms of dollars
and cents. However, in order to show that some
bankers face more of a variability problem than
other banks, we need to abstract from dollars
and cents. In this way, the factors determining
variability can be examined.
The variability index compares the average
fluctuation of deposits to the average level of
deposits during a given period of time. Because
of some mathematical quirks, computation of the
variability index is somewhat complicated.
If we were to average only the actual fluctua­
tions of deposits (both positive and negative),
the result would be zero— falsely implying no
variability. Therefore, we must square each of
the fluctuations from the average. The sum of
the squared fluctuations divided by the number
of fluctuations during the period is the average
squared fluctuation. This number has little mean­
ing for us because variability then would be
measured in terms of squared dollars. So, we
take the square root of the average squared fluc­
tuation— the average fluctuation.
The average fluctuation is not a completely
fair measure of variability. Larger banks will have
a higher average fluctuation simply because they
are larger banks. A $1 million fluctuation to a $1
billion bank is likely to be less worrisome than a
$750,000 fluctuation to a $500 million bank. Yet,
the average fluctuation will be higher at the
larger bank— indicating relatively more variability

posit outflows. The more frequent or the larger
the fluctuations of deposits around their average
level, the higher the variability of deposits and
the bigger the headache for bankers.
If bankers know the nature and extent of de­
posit variability, they can gauge the time for
lending and investing, the period for which funds
can be committed, and the limitations variability
place on their choices among different types of
assets. Consequently, bankers will be better able
to

resolve

the

ever-present

conflict

between

profitability and safety. Thus, the more bankers
know about their deposit variability, the better
they are able to serve their communities, their
depositors, and their stockholders.
We found that deposits do not fluctuate to the
same extent for all banks. In this article we
examine some of the factors that cause some
banks to experience less deposit variability than
others.1
l This article is based on an analysis of bi-w eekly d e­
posit data o f a sample of 122 m em ber banks in the Third
Federal R eserve D istrict for 1965.




9

business review

at the larger bank.
Thus, we must take one more step to arrive at
the index of variability. It is to compare the aver­
age fluctuation to average deposits. The ratio of
the average fluctuation to average deposits dur­
ing a given period of time is our index of vari­
ability.*
* For th e m a th e m a tic a lly in clin e d , th e fo llo w in g n o ta ­
tion s m ay be helpful:

X
Xi

n

*1
Sx,
Z ( x t)2/n

A verage d e p o s its fo r the period
A c tu a l d ep osits, i = 1......... n
N u m b e r o f o b s e rv a tio n s in th e period
F lu ctu a tio n of a ctu a l fro m average d e p o s its
(Xi - X)
Sum o f th e in d iv id u a l flu c tu a tio n s fro m
average d e p o s its — e q u a l to zero
Ave rage sq u a re d flu c tu a tio n

V2(x,)*/n

The average flu c tu a tio n

V Z (x ,) * / n

T h e index o f v a ria b ility

DEPOSIT VARIABILITY: A
CROSS-SECTIONAL VIEW

Variability is not turnover
The more familiar concept of deposit turnover
should not be confused with deposit variability.
There are no inherent reasons for the two con­
cepts to be related. Demand deposit turnover
measures deposit activity and sometimes it is
used as a proxy for economic activity. Turnover
expresses the relationship between total debits
and average deposits for a given time period.
Deposit variability, on the other hand, measures
the extent of fluctuations of deposits from their
average during a given period of time.
Fragmentary evidence in the Third Federal
Reserve District suggests the lack of any rela­
tionship between deposit turnover and variability.
The evidence indicates that high or low deposit
turnover can be associated with the same degree
of deposit variability.

does tend to be greater for smaller banks than
for larger banks. A 1 per cent increase in average

For all 122 banks in the study, the average bi­
weekly fluctuation of deposits amounted to 2.2
per cent of the average level of deposits.2 But
as Chart 1 shows, larger banks generally ex­
perienced less deposit variability than smaller
banks. For example, banks with deposits of less

In 1965, larger banks generally experienced less deposit vari­
ability than smaller banks . . .

CHART 1

INDEX OF TOTAL DEPOSIT VARIABILITY
RELATED TO BANK SIZE
Variability Index

than $5 million had an average deposit fluctua­
tion of 2.4 per cent; banks with deposits of $20
million or more had an average fluctuation of
only 1.9 per cent of the average level of deposits.
Deposit variability does not change much
when the average level of total deposits changes.
Thus, if the ratio of time deposits to total de­
posits does not change, a 1 per cent increase in
average deposits would reduce deposit variability
by less than 1 per cent.3 The impact, however,

Less than 5

5 10

10-20
20-100
Over 100
Bank Size (Millions of Dollars)

122 Banks

2 These data have been adjusted for trend.
! The sensitivity o f the index of total deposit variability was estimated at the mean values o f the independent
variables of the follow ing linear regression :
Std. D ev. — Total D eposits = $804.97 -|- $13.34 (A v g . Total D eposits) — $11.95 (T im e D eposit P rop ortion ).
($522.46)
($ 4 7 .1 1 )
($ 0 .5 5 )
($ 3 .4 6 )
A d ju sted R " — 0.85. The regression is significant at the 1 % level.
The figures in parentheses are the standard errors.

10




business review

deposits at a $1 million bank seems to have a

and local governments, and nonbank financial

greater impact on deposit variability than the

institutions (with an average fluctuation of about

same percentage increase at a $10 million or $20

6 per cent of the average level of this type of

million bank, though the impact still is relatively

deposit). Accounts of different types of indi­

small. For banks with about $80 million in de­

viduals, businesses, state and local governments,

posits or more, increases in the average deposit

and nonbank financial institutions also are not

level virtually have no impact on deposit vari­

equally variable. How stable a banker’s deposit

ability.

structure will be very much depends on the

All this suggests that deposit variability can

character of the accounts in this category as

be reduced, though not much, simply by increas­

well. Thus, variability cannot be reduced merely

ing the level of deposits. But there is another

by increasing deposits indiscriminately.

major consideration.

Some types of deposits

are much less stable than others. For example,
Chart 2 compares the variability indexes of

The anatomy of lower variability— the
case of demand deposits
As Chart 3 shows, larger banks generally ex­

Increasing the deposit level may not reduce variability be­

perience less demand deposit variability than

cause some types of deposits are more unstable than others...

do smaller banks. Lower variability is achieved

CHART 2

despite the fact that larger banks generally have

VARIABILITY OF DEMAND DEPOSITS BY TYPE

a larger proportion of more unstable types of
demand deposits such as interbank and U.S.
Government deposits. One reason is that vari­

OTHER DEMAND DEPOSITS*

ability of the important catch-all category of

U.S. GOVERNMENT DEMAND DEPOSITS

demand deposits also is lower at larger banks.

DEPOSITS DUE TO OTHER COMMERCIAL BANKS

1
--------------- 1
--------------- 1
--------------- 1
---------------I_________ I_________ I
_________
0

.10
.20
.30
.40
.50
.60
.70
Variability Index
•Includes deposits of individuals, businesses, state and local governments, and
nonbank financial institutions.

Larger banks generally experienced less demand deposit var­
iability than smaller banks. . .

three broad categories of demand deposits. De­

CHART 3

posits due to domestic commercial banks— inter­

DEMAND DEPOSIT VARIABILITY RELATED
TO BANK SIZE

bank demand

deposits— are a very

unstable

source of demand deposits (the average fluctu­

Variability Index

ation of these deposits was 64 per cent of the
average level of interbank deposits). Deposits
of the United States Government are consider­
ably more stable than interbank deposits (the
average fluctuation was about 45 per cent of the
average level of these deposits), but they are
considerably less stable than the total of all
other types of demand deposits, a catch-all cate­
Less than 5

gory that includes individuals, businesses, state




5-10

10-20
20-100
Over 100
Bank Size (Millions of Dollars)

122 Banks

11

business review

One reason for lower variability at larger banks was that
deposits of a ll types of customers except other commercial
banks and the U.S. Government tended to be more stable at
larger banks . . .

CHART 4

we computed the weighted average index of
deposit variability over the three broad cate­
gories of demand deposits— interbank, U.S. Gov­
ernment and all other— from the sample of 122
member banks. We then computed the ratio of

VARIABILITY OF OTHER DEMAND DEPOSITS
RELATED TO DEPOSIT SIZE*

the weighted average index to the actual index
for total demand deposits. Because of the likeli­

Variability Index

hood that deposit flows may offset one another
to some extent, this ratio will be equal to or
greater than unity. Thus, the higher this ratio,
the greater is the extent of offsetting flows among
deposit accounts. As shown in Chart 5, the bigger
the bank, the greater the extent of offsetting
deposit flows.5
Offsetting deposit flows— // . In addition to
the likelihood that deposit flows from different

Bank Size (Millions of Dollars)
•Includes all demand deposits except U.S. Government and interbank deposits.

parts of the accounts will be offsetting, trans­
Chart 4 bears this out.4 Another reason seems

actions among depositors of the same bank may

to be that there are more chances for deposit

tend to be greater at larger banks than at smaller

flows to offset one another at a larger hank than
at a smaller bank.
Offsetting deposit flows— /. During a given
period, a bank will experience inflows that off­
set, at least to some extent, outflows. Though
deposit

accounts,

groups,

may

individually

function

and

independently

in
of

small
one

BThese results are som ew hat biased because the pro­
portion o f interbank and U .S. Governm ent deposits tends
to be significant mainly at larger banks. H ow ever, it
would seem that similar results would have been o b ­
tained if it were possible to segregate other types of
demand deposits.
Another reason was that chances for deposit flows to offset
one another seem to be greater at larger banks . . .

another, in the aggregate they are likely to be

CHART 5

somewhat interlocking. Thus, while a bank may

RATIO OF WEIGHTED AVERAGE DEMAND
DEPOSIT VARIABILITY TO ACTUAL
DEMAND DEPOSIT VARIABILITY

be experiencing deposit outflows from one or
more segments of its accounts, it may be likely

Ratio

to experience deposit inflows from one or more
other segments. As a consequence, demand de­
1.6

posit variability actually will be less than the
average variability of each of the components.
To test for this type of offsetting deposit flow,

1.4

1.2

4Larger banks ordinarily offer a wider variety of serv­
ices than smaller banks. Because o f this, it m ay be that
greater stability o f private demand deposits at larger
banks partly results from larger idle balances maintained
by depositors as com pensation for services received.

12




Less than 5

5-10
10 20
20-100
Bank Size (Millions of Dollars)

Over 100

business review

banks. There are a number of reasons why this

Deposit variability is sensitive to changes in

may occur. For example, larger banks tend to

the proportion of time deposits in the deposit

have a much larger number of accounts. Also,

structure. In fact, deposit variability is more

they tend to cover a broader geographical area

sensitive to changes in the time deposit propor­

than smaller banks. As a result, transactions

tion than it is to changes in the average level

among depositors of larger banks may tend to

of deposits. A 1 per cent increase in the time

occur more frequently than at smaller hanks.

deposit proportion is accompanied, on average,

So, if Depositor A writes a check to Depositor B,

by a 1.28 per cent decrease in deposit variability.

and Depositor B has his account at the same bank

The same percentage increase in the average

credited for the full amount, this transaction has

level of total deposits would bring a less than 1

no effect on variability of deposits, since the com­

per cent reduction in the index of deposit vari­

bined balance of Depositors A and B has not

ability.

changed. If one can imagine a world in which

Actually, sensitivity of deposit variability to

there was only one bank, it would be a world

changes in the time deposit proportion depends

almost without deposit variability because all

on the level of the time deposit proportion. For

transactions (except for those involving currency)

example, for banks whose time deposits are less

would be among depositors of the same bank.
In summary, some hanks experience less vari­

than 50 per cent of total deposits, a 1 per cent

ability than other banks because they have proc­

companied by a less than 1 per cent reduction

esses working for them that tend to reduce the
frequency and magnitude of deposit fluctuations.

in variability. But for banks with time deposits

IMPACT OF TIME DEPOSITS
ON VARIABILITY0
Time deposits are less variable than demand
deposits. Variability of time deposits for the

increase in the time deposit proportion is ac­

in excess of 50 per cent of total deposits, the
percentage drop in variability will be greater
than the percentage change in the time deposit
proportion. Thus, the higher the time deposit
proportion, the lower the variability of total de­
posits as shown in Chart 6.

sample of Third District hanks averaged 1.5
per cent of the average level of time deposits
(after adjustment for trend). In contrast, vari­

V ariability of time deposits tends to be lower at banks with a
higher proportion of time, deposits in the deposit structure . . .

ability of demand deposits averaged 6.3 per cent

CHART 6

of the average level of demand deposits. Thus,

TOTAL DEPOSIT VARIABILITY RELATED TO
THE TIME DEPOSIT PROPORTION

the presence of time deposits has a salutary effect
on total deposit variability (also adjusted for

Variability Index

time trend). Lower variability of time deposits
is especially important to many smaller banks
since much of their growth over the last decade
has resulted from time deposits.
0 Throughout this article, time deposits include all
interest-bearing deposits from regular passbook accounts
to large-denomination certificates o f deposit.




13

business review

The impact of time deposits on total deposit
variability manifests itself in another way. Time

Time deposits had more of an impact on total deposit vari­
ability o f smaller banks . . .

deposit variability tends to decline as the time

CHART 7

deposit proportion rises. Because smaller banks

DEMAND DEPOSIT VARIABILITY COMPARED
TO TOTAL DEPOSIT VARIABILITY

tend to have a higher time deposit proportion,

Variability Index

they tend to benefit more from the presence of
time deposits. Table 1 shows that the percen­
tage of banks with a time deposit proportion of
60 per cent or more is higher for smaller banks
than it is for larger banks. As a result, the im­
pact of time deposits on total deposit variability
tends to be greater for smaller banks. On Chart
7, the number at the top of each pair of bars
is the ratio of the index of total deposit variabil­
ity to the index of demand deposit variability.
The lower this ratio the greater the impact of time
deposits on total variability. For banks with
deposits of $20 million or less, total deposit

deposits, smaller banks and larger banks would

variability is less than 35 per cent of demand

have had even greater differences in deposit

deposit variability. On the other hand, total de­

variability.7

posit variability is a higher proportion of de­
mand deposit variability for banks with deposits

DIVERSITY AND DEPOSIT VARIABILITY

of $20 million or more. Thus, the presence of

Differences in variability between banks seem

time deposits had a greater impact on total

to result mainly from differences in deposit

variability at smaller banks than at larger banks.

structure. Banks with more broadly based de­

If it were not for different proportions of time

posit structures seem to experience less deposit
variability.
Diversity of deposits is a nice thing, if you

TABLE 1

PERCENTAGE OF BANKS WITH A TIME
DEPOSIT PROPORTION OF
60 PER CENT OR MORE BY SIZE GROUP*
Size Group
(in Millions)

Percentage
of Total in Group

Total Banks
in Group

Less than $5
$5- $10
$10- $20
$20-$100
$100 or more

78%
72
77
52
33

35
32
29
20
6

From sample of 122 banks in the Third Federal
Reserve District.

14




can get it. That is why bankers suffer headaches
from managing deposits. Diversity has so many
manifestations that deposit management is com7 The benefits o f time deposits can be illusory. For e x ­
ample, bidding for time deposits m ay induce customers
holding idle demand deposits to switch. Such a process
will have no impact on variability but it will increase the
cost of the deposit structure.
It also is important to recognize that the decision to
increase the time deposit proportion should not be based
solely on its impact on variability. T hese are interestbearing deposits. Bankers must be able to em ploy these
funds profitably with due consideration for risk. The
benefits arising from reduced variability, though positive,
may not be sufficient to reward bankers for acquiring
interest-bearing deposits.

business review

plicated. Moreover, not all types of diversity may

Without knowledge of the nature of variability

produce the results desired. For example, a bank

of different types of deposits and different de­

in an area dominated by a single industry or

positors, planning by bankers always will be

firm may find it difficult to achieve diversity.

a more precarious task than it needs to be.

The behavior of a few accounts will likely domi­

Though the banker is devoting increased atten­

nate the entire deposit structure. Sometimes bank­

tion to his deposit structure, more knowledge

ers have sought to acquire a large number of

would prove equally useful since so many of his

relatively small accounts without sufficient knowl­

problems emanate from the nature of his de­

edge to compare the high costs of acquiring and

posits. A greater understanding of deposit be­

handling such accounts with the potential bene­

havior, including the factors that contribute to

fits including possible loan business. For some
banks, diversity is an oft-dreamed of, though

lower deposit variability, can contribute to better
planning and, hence, to more efficient bank oper­

impractical goal.

ation.




THIRD DISTRICT MEMBER BANKERS
If you would like to know how the variability of
your deposit structure compares to the average
for banks of similar size in the Third District,
please write to the author on your bank's letter­
head. We regret that this analysis can be made
available only to Third District member banks.

15

FOR THE R E C O R D

BILLIONS $

INDEX

Third Federal
Reserve District

Per cent change

July 1967
from

SUM M ARY

mo.
ago

CONSTRUCTION** ...........
COAL PRODUCTION .........
BANKING
(All member banks)
Deposits .........................
Loans ............................
Investments....................
U.S. Govt, securities ....
Other ............................
Check payments***........

MEMBER BANKS, 3RD F.R.D.

United States

Per cent change

MANUFACTURING
Production .....................
Electric power consumed
Man-hours, total* ........
Employment, total ..........

• • •

year
ago

7
mos.
1967
from
year
ago

July 1967
from
mo.
ago

- 2
- 1
- 1
— 1
-2 9
-1 8

+ 1
- 5
0
— l
- 8
- 5

+
+
+
+
—

2
3
1
l
5
1

7

year
ago

-

2

Manufacturing

7
mos.
1967
from
year
ago

Employment

Metropolitan
olallSllCdl
Areas*

Payrolls

Check
Payments**

Total
Deposits***

Per cent
change
July 1967
from

LO C A L
C H A N G ES

Per cent
change
July 1967
from

Per cent
change
July 1967
from

Per cent
change
July 1967
from

mo.
ago

+
+
+
+
+
+

10
9
9
3
17
7t

+
+
+
+
+

7
9
4
4
14
7t

Wilmington ....

-1 0
-1 4

+ 2
+ 8

- 4
+ 7

Trenton ..........

— 4

ot + 3t

‘ Production workers only
“ Value of contracts
“ ‘ Adjusted for seasonal variation




+ 3*

year
ago

+ 2
0
+ 4
+ 6
+ 1
+ 1

+
+
+
+
+
+

9
6
13
10
16
14

0
0

0
+ 3

mo.
ago

year
ago

0

-

3

+ 1

+25

-1 4

0

+ 8

+ 1

+ 4

+ 4

-

mo.
ago

ago
year

+
+
+
+
+
+

6
6
8
2
14
12

1

-

3

0

-

5

+11

+58

+ 5

+ 18

-

1

0

-

1

+ 3

+ 10

0

+ 5

0

+ 2

+ 5

-

9

+ 11

0

+ 10

-

5

-

-

+ 2

+ 2

+ 2

+ 6

0

+ 10

+ 2

— 5

-

4

+ 1

+ 6

2

+ 2

0

+ 2

+ 7

+ 2

+ 7

-

1

+ 1

+ 11

+ 3

+ 12

-

+ 6

+ 1

+11

0
-

Lancaster ........

+ 8

Lehigh Valley .. -

0
+ 3

115 SMSA’s
^Philadelphia

1
1

-

3

9

-

1

-

1

1

-

Reading .......... -

1

-

2

0

+ 4

Philadelphia....

1

0

Altoona ...........

9

-

1

+ 2

+ 2

+ 12

+13

+25

+ 4

+10

Wilkes-Barre .... -

3

-

4

-

2

+ 2

+ 3

+ 7

+ 2

+ 10

York ............... -

1

-

1

-

1

+ 5

+ 3

+ 1

+ 1

+ 4

Scranton .........
PRICES
Wholesale.......................
Consumer .......................

mo.
ago

Atlantic City ....

Harrisburg ......
3
2
4
6
2
5f

year
ago

+ 1

Johnstown ......
+
+
+
+
+
+

Banking

‘ Not restricted to corporate limits of cities but covers areas of one
or more counties.
“ All commercial banks. Adjusted for seasonal variation.
‘ “ Member banks only. Last Wednesday of the month.