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Transcript
10
Chapter
Measuring Exposure To
Exchange Rate Fluctuations
South-Western/Thomson Learning © 2006
Chapter Objectives

To discuss the relevance of an
MNC’s exposure to exchange rate risk;

To explain how transaction exposure can
be measured;

To explain how economic exposure can be
measured; and

To explain how translation exposure can
be measured.
10 - 2
Types of Exposure
• Although exchange rates cannot be
forecasted with perfect accuracy, firms
can at least measure their exposure to
exchange rate fluctuations.
• Exposure to exchange rate fluctuations
comes in three forms:
¤ Transaction exposure
¤ Economic exposure
¤ Translation exposure
10 - 3
Transaction Exposure
• The degree to which the value of future
cash transactions can be affected by
exchange rate fluctuations is referred to
as transaction exposure.
• To measure transaction exposure:
 estimate the net cash inflows or outflows
in each currency, and
 measure the potential impact of the
exposure to those currencies.
10 - 4
Estimating Net Currency Flows
• MNCs can usually anticipate foreign cash
flows for an upcoming short-term period
with reasonable accuracy.
• After the consolidated net currency flows
for the entire MNC has been determined,
each net flow is converted into a point
estimate (or range) of a chosen currency.
• The exposure for each currency can then
be assessed using the same measure.
10 - 5
Measuring the Potential Impact
• The standard deviation statistic measures
currency variability.
• Correlation coefficients indicate the degree
to which two currencies move in relation to
each other.
Coefficient
Perfect positive correlation
No correlation
Perfect negative correlation
1.00
0.00
–1.00
• Both variability and correlations vary
among currencies and over time.
10 - 6
Transaction Exposure
• The value-at-risk (VAR) method makes use
of currency volatility and correlations to
determine the potential maximum one-day
loss on the value of an MNC’s positions.
• For foreign currency x, the maximum oneday loss = E( ex ) – z[P]   x
E(ex) = expected % in x for the next day
z[P] = if u ~ N(0,1), Prob (u < z[P] ) = P
for 95% confidence level, z[.95] = 1.65
 x = standard deviation of the daily % in x
10 - 7
Transaction Exposure
• The VAR method can also be used to
assess exposure to multiple currencies
and over longer time horizons.
• Maximum one-month loss of currency
portfolio p = E( ep ) – z[P]   p
E(ep) = expected % in p over the next month
z[P] = if u ~ N(0,1), Prob (u < z[P] ) = P
for 95% confidence level, z[.95] = 1.65
 p = standard deviation of the monthly %
in portfolio p
10 - 8
Economic Exposure
• Economic exposure refers to the degree to
which a firm’s present value of future cash
flows can be influenced by exchange rate
fluctuations.
• Some of these affected cash flows do not
require currency conversion.
• Even a purely domestic firm may be
affected by economic exposure if it faces
foreign competition in its local markets.
10 - 9
Economic Exposure to Exchange Rate Fluctuations
Transactions that Influence
the Firm’s Cash Inflows
Local sales (relative to foreign
competition in local markets)
Firm’s exports denominated
in local currency
 Firm’s exports denominated
in foreign currency
 Interest received from foreign
investments
Transactions that Influence
the Firm’s Cash Inflows
Firm’s imported supplies
denominated in local currency
 Firm’s imported supplies
denominated in foreign currency
 Interest owed on foreign funds
borrowed
Local Currency Local Currency
Appreciates
Depreciates
Decrease
Increase
Decrease
Increase
Decrease
Increase
Decrease
Increase
No change
No change
Decrease
Increase
Decrease
Increase
Transactions that reflect transaction exposure
10 - 10
Economic Exposure
• Economic exposure can be measured by
assessing the sensitivity of the firm’s
earnings to exchange rates.
¤ This involves reviewing how the earnings
forecast in the firm’s income statement
changes in response to alternative
exchange rate scenarios.
• In general, firms with more foreign costs
than revenues tend to be unfavorably
affected by stronger foreign currencies.
10 - 11
Economic Exposure
• Economic exposure can also be measured
by assessing the sensitivity of the firm’s
cash flows to exchange rates through
regression analysis.
• For a single foreign currency:
PCFt = a0 + a1et + t
PCFt = %  in inflation-adjusted cash flows
measured in the firm’s home currency
over period t
et = %  in the exchange rate over period t
10 - 12
Economic Exposure
• The model may be revised to handle
additional currencies by including them as
additional independent variables.
• By replacing the dependent variable (cash
flows), the impact of exchange rates on
the firm’s value (as measured by its stock
price), earnings, exports, sales, etc. may
also be assessed.
10 - 13
Translation Exposure
• The exposure of an MNC’s consolidated
financial statements to exchange rate
fluctuations is known as translation
exposure.
• In particular, subsidiary earnings
translated into the reporting currency on
the consolidated income statement are
subject to changing exchange rates.
10 - 14
Does Translation Exposure Matter?
Cash Flow Perspective
 The translation of financial statements for
consolidated reporting purposes does not by
itself affect an MNC’s cash flows.
 However, a weak spot rate today may result
in a weak exchange rate forecast (and hence
a weak expected cash flow) for the point in
the future when subsidiary earnings are to be
remitted.
10 - 15
Does Translation Exposure Matter?
Stock Price Perspective
 Since an MNC’s translation exposure affects
its consolidated earnings and many investors
tend to use earnings when valuing firms, the
MNC’s valuation may be affected.
10 - 16
Translation Exposure
• An MNC’s degree of translation exposure
is dependent on:
 the proportion of its business conducted by
foreign subsidiaries,
 the locations of its foreign subsidiaries,
and
 the accounting methods that it uses.
10 - 17
Translation Exposure
• In the 2000–2001 period, the weakness of
the euro caused several U.S.-based MNCs
to report lower earnings than what they
had expected.
• In 2002 and 2003, however, the euro
strengthened, and the consolidated
income statements of these U.S.-based
MNCs improved.
10 - 18