model, which provides a quantitative basis for
corporate financial decision-making.
2.3 Research Gaps
Previous scholars have put forward relatively
systematic theories based on responses to single risks
(e.g., exchange rate risk, trade policy risk, or
geopolitical risk), but there are not many
corresponding theoretical modeling studies in the
context of anti-globalization and geopolitical
conflicts, monetary policy uncertainty, and the cross-
cutting impact of risks. Most of the previous studies
by scholars are unilateral studies on one risk
transmission channel, but there is no study on the
portrayal of the nonlinear interaction mechanism of
multiple risks (e.g., “geo-monetary-policy”) in the
cross-cutting scenario, and there is a lack of
quantitative modeling of the multiple risk
transmission channels; the proposed coping strategies
are unilateral; and the proposed coping strategies are
unilateral, and the proposed coping strategies are
unilateral. There is also a lack of quantitative models
of multi-risk transmission channels; the proposed
response strategies are single, and in the cross-cutting
scenarios, the response strategies are ineffective in
conflict with the environment, and there is a lack of a
synergistic multi-strategy “financial instruments,
supply chain, and political relations” response
framework; there is a lack of a unified cross-industry
response framework, and the quantification of the
dynamic response mechanism is still far behind the
practical requirements. The quantification of dynamic
response mechanisms is still far from being able to
keep up with the requirements of practice.
3 TYPES OF CORE RISKS AND
TYPICAL CASE STUDIES OF
MULTINATIONAL
CORPORATIONS
3.1 Exchange Rate Risk: Huawei's
Response to US-China Trade
Friction as an Example
3.1.1 Risk Characteristics
In Q1 2018, the US dollar index reached 95.5, the
Federal Reserve started the interest rate hike process,
and the elasticity of the US dollar exchange rate
against the Chinese yuan increased to more than 5%,
and 49% of Huawei's overseas sales were in the risk
zone; in Q2, changes in the exchange rate shortened
Huawei's pricing cycle for overseas sales to 10 days,
and some European users stopped their orders
because they were unable to predict the magnitude of
the price fluctuation, and the main supplier proposed
to settle their orders with the US dollar settlement,
suppliers raised prices by 5%-8% after the exchange
rate rose, which led to loss of control of the supply
chain; Q3-Q4, Huawei adopted a multi-currency
settlement portfolio strategy, in which the proportion
of US dollar settlement was reduced from 70% to
40%, with the exchange rate ratio at around 35%, and
at the same time utilized foreign exchange forwards
to hedge 60% of the expected cash flow, and the
decline in exchange losses in Q3 was 38% lower than
that of the previous quarter, Q2. The amount of
exchange loss decreased by 38%. Huawei faces the
risk of losses and profits from two-way movements in
exchange rates, and profits while being affected by
the supply chain.
3.1.2 Case Analysis
From the perspective of theoretical application,
according to the “real options theory” (Trigeorgis,
1996), Huawei's multi-currency settlement practice is
actually to retain the “right to choose to switch the
settlement currency”, when the value of the RMB
against the US dollar depreciation of more than 3% to
implement the euro settlement terms, such an option
design for the company to save about 230 million US
dollars in potential losses, which is the embodiment
of the role of real options for dynamic risk
management. When the value of the RMB depreciates
by more than 3% against the USD, the Euro
settlement clause is implemented, and such an option
design saves the company about 230 million USD in
potential losses, which is the embodiment of the role
of real options in dynamic risk management. In
addition, as mentioned in the IMF (2019) report, the
internationalization of the RMB has pushed the
proportion of RMB settlements in cross-border trade
from 2.3% in 2015 to 4.1% in 2019, and Huawei's
choice to implement the “RMB+EUR” mixed-
currency-denominated settlement method in Europe
caters to this trend, which helps to Avoid excessive
dependence on the dollar system [15]. Specific
conduction process can be understood as a result of
the appreciation of the dollar brought about by
exchange rate fluctuations make the export quotation
system failure, resulting in the price of raw materials
as the supplier of the dollar price pricing so that they
have more say in the ability to make Huawei's gross
profit from 32% to 27.5% of the proportion, thus