Financial Principles > Credit >Sovereign Risk

Country Sovereign Event Risk

Sovereign risk includes many dimensions of Risk. The result s usually called a transfer or convertibility risk since the government, under political or economic pressure, will not be able to make foreign exchange available to meet foreign currency obligations (usually through foreign exchange controls).

The Country Sovereign Event Risk is designed as a general framework to simulate how exposure to a country will evolve when this country is subject to a shock. This model applies especially well to foreign exchange control or currency devaluation, but it can apply to any event-based change.


The Country Sovereign Event Risk native to Risksvr™ includes two components:

Horizon Country Exposure Limit Excess
1 US 636907.004057 1000000.000000 0.000000
14 US 4194241.405910 1000000.000000 3194241.405910
30 US 4266027.320129 1000000.000000 3266027.320129
92 US 4461932.653652 1000000.000000 3461932.653652
365 US 5401307.681182 1000000.000000 4401307.681182
720 US 3017820.344407 1000000.000000 2017820.344407
Horizon Country Exposure Limit Excess
1 CN 784037.006547 100000.000000 684037.006547
14 CN 613036.449873 100000.000000 513036.449873
30 CN 605528.082043 100000.000000 505528.082043
92 CN 555606.888130 100000.000000 455606.888130
365 CN -401373.973408 100000.000000 0.000000
720 CN 0.000000 100000.000000 0.000000


Country Sovereign Event Risk makes use of both Credit Exposure and Default Loss methodologies to quantify risk.
This is why you will need to ensure both Credit Exposures and Default Losses are configured during Country risk, even if you do not expect to compute Credit Exposures or Default Losses.

Country Exposure and Credit Exposures

For each simulation horizon and for each non-local trade in every account pertaining to the party domiciled in the country Risksvr™ computes the country exposure by applying a Growth/Contraction-Revaluation/Devaluation Rate (the impact) to the Account's Credit Exposure.(see Risksvr™ Exposure Calculations).

Configuration Note You can control Account country and rating directly in the Account DataSource.

with:
C = Country
h = Horizon
t = Simulation horizon
G = Revaluation / Devaluation Annual Rate
Party Exposure (..,C) = Counterparty Exposure (Receivables) domiciled in Country C

This exposure can be measured on an overall basis or against a predefined limit.

If you assigned a country limit,  the Excess will appear as the difference between the limit assigned and the total exposures in that country.

When a limit is defined, the Excess is displayed whenever the limit is broken.

If limits are disabled, excess is always equal to exposure.

Note: Country exposure is actually subtler than what one might think.
It computes the total aggregated exposure of all accounts that belong to counterparties that  are domiciled in the country. These positions might have netting agreements, are net of collateral.

 

Country Default Events and Credit Default Curves


To measure country sovereign event risk, the country's rating is used to read from a credit event curve. The simulation horizon  is then used to fetch the probability of occurrence at this point in time from the credit curve.

Rating Step:1 Step:2 Step:3 Step:4 Step:5 Step:6
AAA 0.00056000 0.00099200 0.00146200 0.00201200 0.00261900 0.00328200
AA 0.00100000 0.00391500 0.00855500 0.01479600 0.02251900 0.03159400
A 0.01700000 0.04267600 0.07433700 0.11000800 0.14825501 0.18803900
BBB 0.00170000 0.00669500 0.01367400 0.02177500 0.03044200 0.03932300
HY 0.08392500 0.14675499 0.19413400 0.23017199 0.25786901 0.27941400

The Country Sovereign Event Risk framework supports two models

The Independent Model

The likelihood of devaluation follows a "default Mode" to compute the probability of occurrence of the event described in the "event" Curve. The independent model draws uniform random values. If the value falls within the percentile that corresponds to the occurrence of the event, a default is observed  with a loss equal to the Exposure amount computed for the country at the given time step.

Z=U[0,1]
Z<=P(t,Cr)
with
Z=Random variate drawn from a Uniform distribution between 0 and 1 i.e. 0 and 100%
C[r]=Country Rating Rank
t=simulation horizon
P(t,C[r])=Probability of event of rank r at time t.

The univariate framework draws a uniform random variables between 0 and 1 (i.e. 0%-100%]. If the draw falls in the default probability quantile, then a default state is observed.

If default is observed, the account exposure of the parties that are domiciled in the country under analysis are aggregated to compute statistics.

The Correlated Copula Model

The Multivariate model is similar to the Time-To-Default Copula. In this respect, the country acts as the obligor and the correlation matrix between countries is akin to obligor correlation.
The correlated country model generates a standardized multivariate Normal or Normal mixture Student T distribution coupled to the Credit Event curve through marginal probabilities.

From standard inverse probability densities, this methodology infers the time when the event occurs from the credit event curve.

Checking results

Once default states for each country at each time step have been computed, we can proceed to compute the default Frequency and T-statistic to verify consistency:



Horizon Country Rating Default States Number of Trials Default Frequency Default Probability T-Statistic
1 US 1 70 110000 0.000636 0.000560 1.070559
14 US 1 102 110000 0.000927 0.000992 0.681936
30 US 1 160 110000 0.001455 0.001462 0.064709
92 US 1 223 110000 0.002027 0.002012 0.157685
365 US 1 298 110000 0.002709 0.002619 0.584627
720 US 1 364 110000 0.003309 0.003282 0.157096
Horizon Country Rating Default States Number of Trials Default Frequency Default Probability T-Statistic
1 EU 3 1848 110000 0.016800 0.017000 0.513127
14 EU 3 4670 110000 0.042455 0.042676 0.363379
30 EU 3 8106 110000 0.073691 0.074337 0.816885
92 EU 3 12231 110000 0.111191 0.110008 1.253841
365 EU 3 16416 110000 0.149236 0.148255 0.915940
720 EU 3 20817 110000 0.189245 0.188039 1.024037
Horizon Country Rating Default States Number of Trials Default Frequency Default Probability T-Statistic
1 CN 4 169 110000 0.001536 0.001700 1.317411
14 CN 4 735 110000 0.006682 0.006695 0.053611
30 CN 4 1558 110000 0.014164 0.013674 1.398337
92 CN 4 2430 110000 0.022091 0.021775 0.717893
365 CN 4 3455 110000 0.031409 0.030442 1.866982
720 CN 4 4355 110000 0.039591 0.039323 0.457164
Horizon Country Rating Default States Number of Trials Default Frequency Default Probability T-Statistic
1 VE 1 67 110000 0.000609 0.000560 0.688216
14 VE 1 116 110000 0.001055 0.000992 0.658949
30 VE 1 153 110000 0.001391 0.001462 0.617098
92 VE 1 212 110000 0.001927 0.002012 0.583569
365 VE 1 283 110000 0.002573 0.002619 0.300278
720 VE 1 342 110000 0.003109 0.003282 1.002672

The Country Sovereign Event model provides a general framework to measure the impact from a shock. Although initially designed to cover foreign exchange controls it lends itself equally well to any event based scenario with an impact on Exposure.

Country Sovereign Event Risk is a byproduct of Credit Risk. As such it comes almost for free once Credit Exposures and Default Lossess have been configured.



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