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Discussion paper No. 51
The determination of investment income in a world model
A linked approach
by
Richard Herd
Economics & Statistics Department, OECD
November 1990
Economic Research Institute
Economic Planning Agency
Tokyo, Japan
This research was done while authors were working
for Economic Research Institute, the Economic Planning
Agency in 1990. The views expressed here are author’s
and do not represent those of the Economic Planning
Agency.
The determination of investment income in a world model
A linked approach
R. Herd Economics & Statistics Department
OECD, Paris, France Page Introduction 2 An examination of the underlying investment income data 3 The reasons for the world investment income discrepancy 4 A projection of the world discrepancy from 1983 to 1988 8 Some considerations for the modelling of investment income flows 11 A model of US investment income debits 12 World investment income flows and rates of return 13 The specification of the investment income debits equations 16 The estimation results for the investment income debits equations 18 The specification of the investment income credits equations 21 The estimation results for the investment income credits equations 23 A method for removing residual fluctuations in the world discrepancy 25 Conclusions 26 Annex 28 This study was produced whilst the author was seconded to the Economic Research Institute, Tokyo - part of the Economic Planning Agency of the Japanese government. It was financed by the visiting scholar programme of the Japanese government. The author works for the OECD. The contributions of colleagues in Tokyo and Paris are gratefully acknowledged but the views expressed in this study are personal and do not necessarily reflect those of either the EPA or the OECD.
-2-
The determination of investment income in a world model:
A linked approach
R. Herd
1. A world economic model rests on the trade and financial linkages between countries
and regions. The modelling of trade linkages has been well developed. Many researchers
have studied this area using a database that is large, well-maintained and developed in great
detail. Exchange rate linkages have also been well explored. The flows of investment
income have been modelled less. The continuing imbalances in world trade have, over a
period of time, generated large imbalances in stocks of assets, increasing the significance
of investment income flows. While surpluses and deficits in trade can change quite rapidly
in response to underlying determinants, net investment income flows change much more
slowly. Changes in interest rates affect only the magnitude of net income balances. Their
sign is only changed by the longer term cumulations of stocks and so, as a result, income
imblances can perist well after the initial trade imbalances have disappeared. For this
reason, the projection of investment income has become an important element in the
medium term analysis of current accounts.
2. This study suggests a possible way of modelling investment income flows in a
consistent fashion. The proposed model should ensure that when investment income
payments change, investment income receipts change by the same amount. The paper first
looks at the quality of the underlying data and shows that it is possible both to make a
very provisional country-by-country allocation of the discrepancy and to model the way in
which the reported world discrepancy has evolved during the middle of the 1980s. The
paper then considers the linkages between world interest rates and the rates of return on
both world asset and liability portfolios. This information suggests a suitable method for
modelling investment income credits and debits in a consistent fashion. Estimates are then
-3-
presented both investment income debit and credit equations. Finally, the paper suggests
a method for allocating the remaining differences between debits and credits, so that in
simulation, a world model would not produce discrepancies in the overall balance of
investment income.
An examination of the underlying investment income data
3. In part, the lack of empirical work stems from the poor quality of the underlying
database. National authorities have found it more difficult to track financial transactions
as exchange controls have been relaxed and then, in country after country, abolished. Also,
with investment income transactions, there is a built-in incentive for one side of the
transaction not to be reported or declared. The income data for the non-bank sector tends
to be markedly under-reported in order to avoid income taxes while declaring payments on
liabilities reduces taxation. With the trade data in many countries, both an exporter and
an importer need to report their transactions. The physical movements of goods is a
further aid to obtaining trade statistics. The difference between the export and import data
for goods is less than one half percent of world trade, once allowance has been made for
the differing valuation bases of imports and exports. For investment income, the
discrepancy is much larger and amounts to almost thirteen percent of the flow of
payments. From almost being in balance the mid nineteen seventies the reported deficit
has increased rapidly, though irregularly. The negative error in world investment income
(at $65 billion) is now greater than the error for world trade in goods. The underlying
database for modelling the flows of investment income is, for this reason, poor. This may
limit the quality of the estimation results that can be obtained from a modelling exercise
and will also increase the likelihood that simulation results will be difficult to interpret.
4. One problem with the investment income data is that not all countries report
income on the same basis. Some report investment income that is not remitted to the
creditor country while other countries report only remitted profits. Such biases tend to
remain constant over time. Another important bias in the reporting of direct investment
income is that the United States has counted as profit(loss) the revaluation of its direct
-4-
Table 1
The world investment income discrepancy
Corrected for US revaluation effects
$ billion
Reported investment income United States Total
credits debits net Correction net
1980 1981 1982 1983 1984 1985 1986 1987 1988
274.4 345.1 342.7 297.4 320.0 328.1 356.4 422.8 500.3
296.0 381.9 395.3 344.0 379.5 377.9 402.4 468.2 568.8
-21.5 -36.8 -52.5 -46.6 -59.8 -49.8 -46.0 -45.4 -68.5
0.0 2.1 1.9 6.9 9.1
-7.0 -11.5 -15.8
1.0
-21.5-34.9-50.6-39.7-50.6-56.8-57.5-61.2-67.5
investments abroad when the dollar falls(rises) (Table 1). This did not conform with
standard international procedures and so the world deficit has to be corrected for this
anomaly. The US government has now changed its method of calculating investment
income and excludes capital gains. As a result, the series for the world discrepancy is
considerably smoother than the previous series (Table 1, last column).
The reasons for world investment income discrepancy
5. An understanding of the principal reasons for the large error in the world
investment income statistics may improve the prospects for modelling and should give
some basis for assessing the movement of the discrepancy in short and medium projections
of current balances. It may also give a basis for world models to correct the simulated
differences in world investment income that often occur. A joint IMF-OECD working
party reported, more generally, on the causes of the world current account discrepancy.
It focussed on the discrepancy in the world investment income accounts for the year 1983.
The report was published in 1987 ( The World current account discrepancy, IMF) and
concluded that it was possible to use data sources other than those generated by national
-5-
authorities to check the overall investment income data and to quantify the origins of the
Table 2
Estimated cross-border investment income flows
$ billion % of total
Direct investment
Bank related
Bonds
Equities
Total
38
336
39
8
421
9
80
9
2
100
Source: Report on the World Current Account Discrepancy IMF 1987,Tables 9 & 18
discrepancy.
6. Cross-border investment falls into four categories (Table 2). The working party
used data from international sources to provide estimates of the outstanding stock of cross-
border investments in the last of these three categories. International banking statistics are
collected by the BIS and the IMF while the OECD collects data for international bond
issues. No data appears to be available on the cross-border swap market. For equities,
no international data set exists but international holdings were concentrated on five markets
in 1983 (United States, Japan, UK, Germany and Switzerland) though more markets are
probably significant now than in 1983. In addition to using standard national and
international sources, the working party issued a more detailed questionnaire on investment
income and cross-border assets and liabilities to the statistical offices of member countries.
These questionnaires allowed investment income to be split into categories more detailed
than is usually the case. The categories corresponded to those of the independent stock
data. Given estimates of the interest rates on the outstanding debt, it was possible to
quantify the sources of the discrepancy both by type of income and asset and, to a limited
extent, by country (Table 3). The country-by-country estimates of the discrepancy for
-6-
Table 3
The estimated investment income discrepancy by country
Proportionate
shareAbsolute
share 1983 1988
% $b $b
United States Japan Germany
46.629 -4.322 4.822
18512.0 1720.0 1914.0
31700.0 -2946.0 3279.0
France Italy United Kingdom Canada
1.926 4.137 4.081
-2.764
764.0 1642.0 1620.0
-1097.0
1309.0 2813.0 2775.0
-1879.0
Austria Belgium Denmark Finland
0.187 4.964
-0.866 -0.191
74.0 1971.0 -344.0 -76.0
127.0 3376.0 -589.0 -130.0
Greece Ireland Netherlands Norway
1.682 -0.125 3.325
-0.272
668.0 -49.0
1320.0 -108.0
1144.0 -85.0
2261.0 -185.0
Portugal Spain Sweden Switzerland
-0.771 1.904
-0.642 10.262
-306.0 756.0
-255.0 4074.0
-524.0 1294.0 -437.0 6978.0
Australia New Zealand
-0.617 5.410
-245.0 2148.0
-419.0 3679.0
Major offshore centers Mid-East Eastern Europe Other developing countries
13.770 0.0
-17.569 25.050
5467.0 0.0
-6975.0 9945.0
9364.0 0.0
-11947.0 17034.0
income flows in the non-bank sector were made. These estimates were only partial since
a significant portion of world banking assets and liabilities are not classified by country.
In addition, it is difficult to determine which countries hold international bonds. An
approximate country-by-country breakdown of the total investment income discrepancy can
be made if it is assumed that unreported income from securities is distributed across
countries in proportion to bank deposits of the non-bank sector.
-7-
Table 4
Cross-border banking positions excluding major offshore centers
$ billion
Claims of Interbank Total non banks banks on positions on banks nonbanks claims liabilities
1979 1980 1981 1982 1983 1984 1985 1986 1987 1988
320 403 512 562 620 589 734 864
1028 1092
440 527 631 680 711 709 818 931
1115 1153
(960) 1173 1374 1446 1479 1555 1847 2348 3066 3315
(980) 1203 1359 1425 1486 1557 1856 2408 3146 3445
(2700) 3306 3876 4113 4296 4410 5255 6551 8355 9005
7. The report concluded that the principal sources of the investment income
discrepancy lay in portfolio income. It occurred because the degree of under-reporting of
the income form non-bank credits was much larger than the under-reporting of the income
form non-bank debits. More than seventy percent of non-bank deposit income was found
to be not reported. Inter-bank credits and debits were largely matched, at least for
industrial countries. For the developing countries, though, banking flows were only
reported by the major offshore banking sectors to the extent that the transactions were
linked to their domestic economies. Similarly, Switzerland did not report the income
flows from off balance sheet managed deposits taken on a trustee basis. These two
omissions accounted for over $60 billion of total income flows (17% of the total income
flow in 1983) but these flows affected almost equally both credits and debits. Income
from bonds is also under-reported but to a lesser extent than deposit income, however the
extent of the under-reporting has grown rapidly during the early 1980s.
-8-
A projection of the world discrepancy from 1983 to 1988
8. The methodology of the report can be used to provide reasonable estimates of the
evolution of the discrepancy since 1983 which was the last year fully analyzed by the
working party, despite the discrepancy having doubled since then. Three elements are
necessary for this projection. First, the movement in the outstanding stock of cross-border
assets and liabilities must be projected, then an estimate must be made of world interest
rates and finally the extent to which income is reported must be projected.
9. The first and second of these elements are relatively easy to handle. The stock of
cross-border investment portfolios can be estimated from published data and has been
growing at a faster rate than either the national income or international trade of the OECD
area: by more than twenty percent per year during the 1980s (Tables 4 and 5). The rates
of return on assets and liabilities has been estimated using the same procedures as in the
IMF-OECD report. Non-bank depositors are assumed to receive 150 basis points less than
the LIBOR while borrowers pay 100 basis points more than the LIBOR. Banks in
offshore centers are presumed to work on a spread of 60 basis points around the LIBOR.
Table 5
Cross-border asset positions Banking and bond sectors
$ billion
Excluding Offshore Offshore Bonds Total Centers Centers held by assets liabilities non-banks
1979 1980 1981 1982 1983 1984 1985 1986 1987 1988
2700 3306 3876 4113 4296 4410 5255 6551 8355 9005
293 375 482 519 546 566 622 766 973
1096
283 367 473 509 538 554 603 720 928
1024
200 220 250 310 340 408 513 738 841
1059
3476 4268 5081 5451 5720 5938 6993 8775
11097 12184
-9-
Actual banking sector interest rates are assumed to be a six month moving average of
actual interest rates. In the bond markets, new issue rates are presumed to be in line with
market rates for longer term securities while the effective rate of return on the outstanding
stock is presumed to be a seven year moving average of the rate on new issues of bonds.
This reflects the average maturity of the debt issued in this market and the fact that the
debt is cumulated at book value. Banking sector rates of return are based on a portfolio
that is ninety percent in dollars with the remainder in a spread of currencies. Bond
returns reflect the statistics for the currency of issue.
10. The projection of reporting rates is more difficult. One plausible assumption is that
reporting rates for each asset and liability have remained stable since 1983. The overall
reporting rate would then be a function of the structure of overall world asset and liability
portfolios. The reporting rates calculated by the working party for different income flows
are shown in Table 6. The bond market has expanded relative to bank deposits over the
past decade. On past performance, this should tend to reduce the world investment
income discrepancy as bond income has been better reported. However, if potential bank
deposits have been increasingly switching to bonds with the result that international bond
Table 6
Non-reported Portfolio investment income
1983
Percentage unreported
% of total income
Amount unreported
$ billion
Non-banks DepositsLoans Net
6818
32.1 13.5 18.6
Offshore Banks Assets Liabilities Net
8690
51.6 48.7 2.9
Bonds Assets Liabilities Net
4520
13.3 5.9 7.4
Equities Assets Liabilities Net
4520
3.4 1.5 1.9
-10-
holdings have become more difficult to monitor, it is possible that on the credit side, that
the reporting of income from bonds will become worse. On the liability side, though, the
increasing use of international capital markets rather than credit markets should have little
impact on measured investment income debits as the reporting rates revealed by the
working party were similar for liabilities to banks and to bond-holders.
11. For the projection two cases have been considered. In one, under-reporting of
income from internationally held bonds remains constant at 1984 rates, in the other in
under-reporting of bond income rises to the same rate as that of the income of non-banks
from bank deposits. The projection of the discrepancy based on a constant degree of
income under-reporting shows a less rapid rise in world discrepancy than the actual rise
despite the projected deficit rising more than fifty percent in five years (Table 7). The
second case (based on a rise in the under-reporting of bond income) matches the rise in
the actual discrepancy quite closely (Table 7 column 2).
Table 7
Evolution of projected investment discrepancy
Two projections compared to actual
$ billion
projected discrepancyportfolio income
total discrepancy investment income
case 1 case 2 actual
1980 1981 1982 1983 1984 1985 1986 1987 1988
-16.2 -20.0 -37.1 -30.6 -38.6 -39.1 -40.1 -44.9 -47.3
- - - - -
-41.1 -44.3 -53.2 -69.0
-21.5 -34.7 -50.6 -39.7 -50.6 -56.8 -57.5 -61.2 -67.5
-11-
Some considerations for the modelling of investment income flows
12. The analysis of the stock data and the possibility of using this stock data to
systematically model the movement of the world investment income discrepancy is
significant both for the type of investment income equation that is estimated and for the
simulation properties of the model. The IMF-OECD report illustrates that for most
international data sources, the balance sheet constraint of assets equalling liabilities does
hold. There is consequently a need to model the asset and liability side of balance sheets
simultaneously as the stock of assets should equal the stock of liabilities and the rate of
return on assets should equal the rate of return on liabilities, abstracting from the costs of
intermediation. The structure of portfolios revealed by the report, with bank deposits
dominating bond holdings, shows that short-term interest rates should predominate in the
income equations over long-term rates. The lags on the short rate of interest variable
should be small and there should only be longer lags on the bond yield. As rates of
interest fall to zero, investment income should also fall towards zero.
13. It is important for a world model that the change in the rate of return on assets
should equal the change in the rate of return on liabilities. A small difference of only 0.1
percentage points in the movement of these two rates would generate a change in the
discrepancy of $10 billion given the size of world assets and liabilities. Such a movement
would be large relative to the changes in the current accounts of any country that are
produced by typical simulations of exchange rate movements.
14. The model also needs to ensure that the growth of assets has to equal the growth
of liabilities. Normally, this would be achieved through the current account identity
provided that there is only one type of asset and liability in the model. If the model
takes into account the currency composition of world portfolios then the amounts of the
revaluations of assets and liabilities due to exchange rate movements will also have to
balance.
15. In reality, though, just as measured payments of income do not equal receipts, the
measured stock of assets does not equal the stock of liabilities. This is partially because
different countries revalue stocks on different bases and also because the capital account
of the balance of payments is measured with a considerable error. Such errors mean that
-12-
Chart 1
the change in measured assets may be different to the balance on the current account.
These factors suggest that it is unlikely that a model of investment income flows that is
modelled independently on the credit and debit side will produced balanced income flows
in simulation.
A model of United States investment income
16. The IMF-OECD report shows that reported investment income can be proxied quite
well by the product of the stock of assets and a rate of interest. An examination of
portfolio income payments of the United States confirms that a knowledge of rates of
return and stocks of labilities are sufficient to model income flows. The stock of US
portfolio liabilities can be split into six categories: bank deposits, official holdings of
government liabilities, other foreign official assets, corporate bonds, government bonds and
equities. Given a six month payment delay for interest, the appropriate stock for
calculating the income receipts of a calendar year is the stock at the end of the previous
-13-
year while the interest rates runs from the middle of the preceding year to the middle of
the year in question. Each of the six stocks can then be multiplied by the relevant rate
of return. The resulting proxy income series tracks almost exactly actual US portfolio
income debits (Chart 1).
17. A regression which uses proxy income (PROXM) to explain the movement of
actual portfolio investment income (MSIID) generates an almost unitary coefficient on
proxy income.
R**2 SEE DW
MSIID = -794 + 0.961*PROXM 0.980 3000 1.74
(1.1) (30.0)
Such a detailed approach cannot be expected to work for a world model. It would require
too much disaggregated data and would also require that countries classify asset data
according to the same criteria. Moreover, the structure of world portfolios would have to
be modelled on a consistent basis.
World investment income flows and rates of return.
18. The aggregate data for investment income debits and the stock of liabilities does
suggest, though, that there is not a need for such a detailed disaggregation. There is a
close link between average rates of returns on cross-border portfolios and world interest
rates (Chart 2). In this chart, the world rate of interest has been calculated by weighting
together the rate of interest on the liabilities of each country taking into account the
currency composition of the liabilities of each country. A regression of the rate of return
on liabilities on short and long-term interest rates shows a coefficient of about 0.85 on the
sum of the two interest rate variables (fourth column of the table below). However, free
estimation suggests a relatively high weight on long-term interest rates which conflicts with
information on the structure of international assets and liabilities. Almost all of cross-
border assets are bank related and so presumably carry interest at short rates and yet short-
term interest rates have a weight of only thirty percent in the regression shown in column
four. The regression supports the view that when rates of interest are zero, income flows
will also be zero as the constant term in the regression is zero.
-14-
Chart 2
OLS estimation of world rate of return on liabilities
Short rates Short & Long rates
Semi Annual Semi Annual
Constant 2.027 (7.7) 1.076 (2.7) 0.673 (1.9) 0.266 (0.5)
RLL . . . . 0.231 (3.8) 0.409 (3.4)
RLS 0.298 (4.7) 0.444 (7.9) 0.235 (4.6) 0.312 (5.8)
RLS(-1) 0.321 (3.4) 0.295 (5.5) 0.159 . 0.125 (2.0)
RLS(-2) 0.073 (0.8) . . . . . .
RLS(-3) 0.106 (1.7) . . . (4.8) . .
RLE(-1) . . . . 0.219 (2.4) . .
D.W./H 0.85 1.69 -0.36 2.37
SEE 0.31 0.31 0.24 0.21
R**2 0.972 0.975 0.987 0.990
-15-
where:
RLL is a world average long term interest rate constructed by a double weighting procedure. First a rate was
constructed for each country using as weights an estimate the currency structure of the external liabilities of
each country. Then the country rate of interest were weighted together using the estimates the stock of
liabilities for each country.
RLS is the same as for RLL with short rates replacing long rates
RLE is calculated as the observed rate of return on world liabilities, that is by dividing total world debits by total
word liabilities.
Chart 3
19. The rate of return on world assets and liabilities should be the same as every asset
is matched by a liability. In view of poor quality of the income data, it might be thought
that it would be extremely unlikely that such a relationship would hold for the rate of
return data. However, it would appear that the extent of under-reporting of income is
matched by the under-reporting of assets and liabilities. As a result, the world data show
that rates of return on assets and liabilities move almost exactly together (Chart 3), with
a slight difference in level in the 1970s. A regression which attempts to explain
movements in the rate of return on assets by the movements of the rate of return on
-16-
liabilities shows that the coefficient on the rate of return on liabilities is extremely close
to unity (see below for the results of a regression covering the period 1979 to 1988.
OLS estimation of the relationship between the rates
of return on world assets and liabilities 1975 - 1988 R**2 DW SEE
RAE = 0.863 + 0.934*RLE 0.972 0.58 0.303
(3.5) (29.9) 1979 - 1988
RAE = 0.196 + 0.999*RLE 0.987 1.29 0.197 ( . ) (34.5)
RAE = + 1.021*RLE 0.986 1.30 0.195
(192.5)
20. A model of world investment income flows should, then, incorporate the constraint
that world rates of return on assets and liabilities are equal. This need to ensure
consistency between investment income credits and debits means that it is necessary to
sacrifice some freedom in the specification of either the credit or the debit equations.
Either the rates of return on assets or liabilities of each country could be modelled, giving
a world rate of return on assets or liabilities. Then the world rate of return on either
assets or liabilities could be used to explain returns on liabilities or assets. As the data
for liabilities is more reliable than that for assets, it is better to model liabilities and then
to apply a constrained equation form to the credit equations. This approach does have
drawbacks. If only a world rate of return on liabilities is used to determine the rate of
return on each countries assets, then there is a failure to use all available information.
The currency composition of the assets of each country is ignored and as a result, the fit
of the regressions may be poor.
The specification of the investment income debits equations.
21. Two approaches are possible for the debit equations. Both approaches use rates of
interest weighted by the currency composition of each countries liabilities as the
explanatory variable. They differ in the way that the rate of interest enters the equation.
In the first approach, a rate of return on liabilities is calculated and then this rate of return
is made a function of rates of interest weighted according to the currency structure of
liabilities.