XML 60 R33.htm IDEA: XBRL DOCUMENT v3.21.1
RISK MANAGEMENT POLICIES
12 Months Ended
Dec. 31, 2020
RISK MANAGEMENT POLICIES  
RISK MANAGEMENT POLICIES

27.    RISK MANAGEMENT POLICIES

Comprehensive Risk Management is a key discipline for financial institutions. The Group intends to create, through its subsidiaries, a solid and efficient organization in risk management, the framework for an optimal use of its capital and to identify business opportunities in the markets and geographic regions in which it operates, seeking the best risk-reward balance for its shareholders. The risk management framework is communicated to the entire organization and strives to strike a balance between a strong risk culture and being an innovative company, focused on its customers and recognized for its agile, easy and friendly operating style.

The Company’s Board of Directors considers that its criteria and guidelines regarding risk management are a key part of its Corporate Governance. The risks to which the Group is exposed are inherent to the financial industry, such as credit, the market, interest rate, liquidity, operational risk, reputation and strategic risk. In addition, the Group is exposed to the risk of securitization, given its leadership role on this issue.

Financial risk factors

Credit risk

The Integral Risk Committee approves credit risk strategies and policies submitted in accordance with recommendations provided by the Integral Risk Corporate Department, the Credit Corporate Department and commercial sectors and in compliance with regulations set by the Argentine Central Bank. The credit strategy and policy is aimed at the development of commercial opportunities within the framework and conditions of the Group´s business plan, while keeping suitable caution levels in face of the risk.

Policies and procedures enable the definition of accurate aspects aimed at the deployment of the Group´s Strategy related to the administration of credit risk; among them, the Group´s criteria to grant loans, credit benefits and powers, types of products and the way in which the structure is organized, among other aspects. Likewise, the Group relies on an integral risk policy where aspects related to general key risk governance as well as specific manuals and procedures that include, among others, all relevant regulations issued by the Argentine Central Bank.

The Group´s credit risk management policies are applied to corporate and individuals. To such ends, a customer segmentation has been defined for Corporate Banking and Personal and Business Banking.

The Group focuses on supporting companies belonging to sectors with potential, and successful in their activity. Within the range of credit products offered for the business segment, the Group aims to develop and lead the factoring and leasing market, as well as to be a benchmark in foreign trade.

Within Corporate Banking, we seek a solid proposal for medium and large companies' market, seeking to maintain proximity with clients through service centers, agreements with clients throughout their value chain, and providing agile responses through existing credit processes.

Regarding Personal and Business Banking, in addition to payroll and senior citizens segments, special focus is placed on Entrepreneurs and SMEs, SMEs as well as the Banks´s Identité segment.

In the case of CCF, the focus is consumer finance, fundamentally in granting personal loans, credit cards and car loans.

The area of Capital Markets and Structuring targets the trust business segment; placement of assets in the capital market through financial trusts and debt securities, own and of third parties; and for its part, the area of Treasury and Finance has the Trading Desk within its scope. Among traded products are: interbank call, REPO transactions, corporate call, securities from public sector and monetary policy instruments of the Central Bank, acquisition of consumer portfolios, third-party financial trusts, negotiation of financial derivatives (futures, rate swaps, etc.), among others.

The Group is willing to carry out a strategy that enable it to address its contractual commitments, both under normal market conditions and adverse situations. Therefore, the Group relies on scoring and rating models to estimate probability of default (PD) for the different client portfolios. As for risk appetite framework, the Group relies on cut-offs for each risk-based segment that express the maximum risk to be assumed in terms of probability of default.

In addition to PD parameters, the Group relies on estimates of exposure at default (EAD)  and loss given default (LGD) parameters with the purpose of estimating Group’s allowance for loan losses and the necessary economic capital to face unexpected losses that may arise due to credit risk.

The Group is aimed at keeping a diversified and atomized portfolio, in order to minimize risk concentration. To such ends, loan originationand client portfolio profiles are adjusted to each different circumstance.

To this end, the entity has an indicators dashboard linked to the appetite for credit and concentration risk. The evolution of the NPL, Coverage and Cost of Risk indicators is monitored in relation to target limits established according to risk appetite and the strategy determined in the entity's business plan. Likewise, there is a portfolio limits scheme that measures balance concentration by debtor or economic group, the concentration of the main debtors, concentration by value chain, economic activities, portfolio by risk level based on the facility risk rating. and the exposure in foreign currency both at a total level and by product type.

Credit Risk Measurement Models

The Entity relies on models aimed at estimating the distribution of potential credit losses in its credit portfolio, which depend on defaults by the counterparties (PD – Probability of Default), as well as the assumed exposure to such defaults (EAD –Exposure At Default) and the recoveries of each defaulted loan (LGD – Loss Given Default).

Based on the aforementioned, the Group has developed a Risk-Adjusted Return on Capital (RAROC) model.

Regarding CCF, it also has estimates of the aforementioned parameters related to credit risk and a monitoring model of the RAROC Measurement metric.

The Group has deepened its work on the expected loss methodologies under IFRS 9, focusing on methodological improvements in the estimation of parameters (PD, EAD and LGD), aligning the definition of the parameters to the credit process. The forward looking model has been redesigned including more variables and openings. Likewise, effects resulting from the pandemic have been evaluated and incorporated into the expected loss calculation.

Allowances for loan losses calculation

Based on the results of the PD (probability of default), EAD (exposure at the time of default) and LGD (loss in the event of default) estimates, the associated statistical forecast is calculated.

Allowances for loan losses calculation is based on models that analyzes the Group’s own portfolio information to estimate, in global terms, the average value of the loss distribution function over an annual term (expected credit loss). The expected credit loss is determined based on PD, EAD, and LGD loss factors.

Economic Capital Calculation

The economic capital for credit risk is the difference between the portfolio’s value at risk (according to the confidence level for individuals of 99.9% and for companies of 99%) and the expected credit losses.

The Group relies on economic capital models for credit risk (one for individuals and another for companies). Such quantitative models include the exacerbation of capital by concentration risk and Securitization Risk. In the economic capital calculation models a one year holding period is used, except from factoring exposures where a six month holding period is used.

Counterparty Risk Management

The Group relies on a Counterparty’s Risk Map approved by the Credit Committee where the following limits are defined for each counterparty according to the Group’s risk appetite: credit exposure and settlement limits, foreign exchange settlement risk, securities settlement risk and Repo transactions settlement risk, among other.

Regarding the economic capital for the counterparty’s risk, it is included in the Economic Capital Quantitative Model for Credit Risk.

Impairment of Financial Instruments

The Group tests for impairment the financial assets measured at amortized cost, debt instruments measured at fair value through other comprehensive income, finance lease and financial guarantee contracts and loan commitments granted that are not measured at fair value.

As a rule, the expected credit loss is estimated as the difference between the contractual cash flows to be recovered and the expected cash flows discounted using the original effective interest rate. In the case of purchased or originated credit-impaired assets, this difference is discounted using the effective interest rate adjusted by credit rating.

The movements in the allowance for loan losses as of December 31, 2020 are detailed in note 26.

Write-Off

The Group reduce the gross carrying amount of a financial asset when it has no reasonable expectations of recovering a financial asset in its entirety of a portion thereof. A write-off constitues a derecognition event.

Maximum Credit Risk Exposure

Financial Instruments to which the impairment requirements in IFRS 9 are applied:

 

 

 

 

 

 

 

 

 

 

 

    

December 31, 2020

 

 

ECL Staging

 

 

 

 

Stage 1

 

Stage 2

 

Stage 3

 

 

Loan Type

    

12-month ECL

    

Lifetime ECL

    

Lifetime ECL

    

Total

Overdrafts

 

18,228,303

 

610,850

 

146,257

 

18,985,410

Promissory Notes

 

12,407,922

 

793,555

 

2,359,458

 

15,560,935

Unsecured Corporate Loans

 

12,516,187

 

285,078

 

302,868

 

13,104,133

Mortgage Loans

 

7,894,984

 

2,118,357

 

1,044,497

 

11,057,838

Automobile and other secured loans

 

1,227,511

 

312,404

 

352,278

 

1,892,193

Personal Loans

 

19,046,521

 

1,452,586

 

624,011

 

21,123,118

Retail

 

15,535,247

 

1,425,146

 

510,209

 

17,470,602

Consumer Finance

 

3,511,274

 

27,440

 

113,802

 

3,652,516

Credit Card Loans

 

43,673,047

 

3,118,508

 

389,148

 

47,180,703

Retail

 

38,301,754

 

2,633,285

 

243,466

 

41,178,505

Consumer Finance

 

5,371,293

 

485,223

 

145,682

 

6,002,198

Receivables from Financial Leases

 

2,817,385

 

217,321

 

152,820

 

3,187,526

Foreign Trade Loans

 

9,558,036

 

1,585,023

 

1,901,861

 

13,044,920

Other Financings

 

3,759,131

 

746,038

 

163,301

 

4,668,470

Other Receivables from Financial Transactions

 

2,546,404

 

34,037

 

59,701

 

2,640,142

Total

 

133,675,431

 

11,273,757

 

7,496,200

 

152,445,388

 

 

 

 

 

 

 

 

 

 

 

    

December 31, 2019

 

 

ECL Staging

 

 

 

 

Stage 1

 

Stage 2

 

Stage 3

 

 

Loan Type

    

12-month ECL

    

Lifetime ECL

    

Lifetime ECL

    

Total

Overdrafts

 

37,008,385

 

601,442

 

1,590,928

 

39,200,755

Promissory Notes

 

10,904,371

 

300,364

 

387,249

 

11,591,984

Unsecured Corporate Loans

 

13,579,312

 

494,932

 

1,045,787

 

15,120,031

Mortgage Loans

 

8,209,762

 

1,550,950

 

1,017,564

 

10,778,276

Automobile and other secured loans

 

1,088,637

 

354,852

 

217,339

 

1,660,828

Personal Loans

 

44,364,398

 

6,715,548

 

1,571,483

 

52,651,429

Personal and Business Banking

 

17,793,608

 

1,099,343

 

592,285

 

19,485,236

  Consumer Finance

 

26,570,790

 

5,616,205

 

979,198

 

33,166,193

Credit Card Loans

 

42,284,160

 

1,241,422

 

742,864

 

44,268,446

Personal and Business Banking

 

36,630,601

 

1,051,965

 

370,432

 

38,052,998

  Consumer Finance

 

5,653,559

 

189,457

 

372,432

 

6,215,448

Foreign Trade Loans

 

22,053,128

 

837,964

 

1,819,440

 

24,710,532

Other Financings

 

10,714,901

 

158,201

 

103,923

 

10,977,025

Other Receivables from Financial Transactions

 

2,511,243

 

22,471

 

62,543

 

2,596,257

Receivables from Financial Leases

 

3,836,879

 

250,933

 

250,565

 

4,338,377

Total

 

196,555,176

 

12,529,079

 

8,809,685

 

217,893,940

 

Financial Instruments to which the impairment requirements in IFRS 9 are not applied

Financial assets measeured at fair value through profit or loss are not subject to impairment The maximum exposure to credit risk is the corresponding fair value.

Market risk

Group defines Market Risk as the risk resulting from deviations in the trading portfolio value as a result of market fluctuations during the period required for the settlement of portfolio positions.

The Risk Department’s measurement, control and follow-up perimeter covers those operations where certain loss risk in the Group ´s shareholders equity value is assumed, as a result of changes in market factors. Such risk results from the variation in risk factors under evaluation (interest rate, exchange rate, market price of equity instruments and options), as well as liquidity risk in the different products and markets where the Group operates.

According to its business strategy, Banco Supervielle is the component of the Group with the greatest exposure to this risk. On the other hand, Cordial Compañía Financiera has a minimum exposure to market risk and associated with liquidity management purposes. That is why market risk controls present a greater level of detail and emphasis on Banco Supervielle’s trading portfolio.

With the purpose of measuring the risk of positions homogeneously and therefore, setting a limit and threshold structure to support management and control schemes, Banco Supervielle uses the VaR model (Value at Risk), which defines the maximum expected loss to be recorded in a financial asset portfolio in normal market conditions, within a certain period of time and at a pre-established confidence level. Indicators obtained from this enable the Group to identify a potential market risk and take preventive measures.

Market risk management is focused on the trading portfolio managed by the Trading desk, although there is also a broader control including managed positions with liquidity management objectives. For this reason, in terms of the broader trading portfolio, the controls are limited to the exposure to the assumed risk, measured using the VaR methodology, in relation to the regulatory capital (RC). In addition, a control is carried out on the VaR by group of assets, thus limiting the risk that the Entity can assume in each group of assets considered in isolation. The objective is to incorporate an element of alert to credit events or break in the correlations between groups of assets, events that may escape the consideration of a diversified VaR.

The controls over the Trading desk are more exhaustive. Approved strategies and policies are reflected in what is known internally as a unified Risk Map document, where detailed operations enabled by the Trading desk can be explained in detail. In the same document the entire framework of controls that translate the risk appetite with which the Entity is willing to operate is exposed. In this way, limitations are established on the open position in certain financial instruments, VaR limit on the diversified portfolio, maximum allowable loss amount before executing the stop loss policy and conditions that could lead to the execution of a stop strategy gain. The entire control scheme is complemented by action plans that must be implemented once a violation occurs within the limits established therein.

The exposure to the Group's exchange rate risk at the end of the year by currency type is detailed below:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

Balances as of 12/31/2020

    

Balances as of 12/31/2019

 

 

Monetary

 

Monetary

 

 

 

 

 

Monetary

 

Monetary

 

 

 

 

 

 

Financial

 

Financial

 

 

 

Net

 

Financial

 

Financial

 

 

 

Net

Currency

 

Assets

 

Liabilities

 

Derivatives

 

Position

 

Assets

 

Liabilities

 

Derivatives

 

Position

US Dollar

 

42,899,393

 

35,709,785

 

529

 

7,190,137

 

56,061,739

 

50,902,660

 

 —

 

5,159,079

Euro

 

974,565

 

785,018

 

 —

 

189,547

 

807,436

 

783,009

 

 —

 

24,427

Others

 

293,182

 

6,208

 

 —

 

286,974

 

199,362

 

 —

 

 —

 

199,362

Total

 

44,167,140

 

36,501,011

 

529

 

7,666,658

 

57,068,537

 

51,685,669

 

 —

 

5,382,868

 

Financial assets and liabilities are presented net of derivatives, which are disclosed separately. Derivative balances are shown at their Fair Value at the closing price of the respective currency.

The table above includes only Monetary Assets and Liabilities, since investments in equity instruments and non-monetary instruments does not generate foreign exchange risk exposure.

A sensitivity analysis was performed considering reasonably possible changes in foreign exchange rates in relation to the Group’s functional currency. The percentage of variation used in this analysis is the same the Group used in its Business Plan and Projections.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

 

    

12/31/2020

    

  

    

12/31/2019

Currency

 

Variation

 

P/L

 

Equity

 

Variation

 

P/L

 

Equity

US Dollar

 

40.20

%  

2,687,853

 

2,687,853

 

31.9

%  

270,549

 

270,549

 

 

(40.20)

%  

(2,687,853)

 

(2,687,853)

 

(31.9)

%  

(270,549)

 

(270,549)

Euro

 

40.20

%  

75,960

 

75,960

 

31.9

%  

7,793

 

7,793

 

 

(40.20)

%  

(75,960)

 

(75,960)

 

(31.9)

%  

(7,793)

 

(7,793)

Other

 

40.20

%  

115,338

 

115,338

 

31.9

%  

61,993

 

61,993

 

 

(40.20)

%  

(115,338)

 

(115,338)

 

(31.9)

%  

(61,993)

 

(61,993)

Total

 

40.20

%  

2,879,151

 

2,879,151

 

31.9

%  

340,335

 

340,335

 

 

(40.20)

%  

(2,879,151)

 

(2,879,151)

 

(31.9)

%  

(340,335)

 

(340,335)

 

Sensitivity Analysis

It is important to note that within the daily report provided to the trading desk for the monitoring of the exposure to assumed risk, the Financial Risk Management makes a comparison between the profitability obtained and the implicit risk for each asset. When using a diversified VaR methodology, it is important to provide information related to the contribution that each asset in the portfolio makes to the aggregate VaR measurement, and fundamentally if this asset generates risk diversification or not. That is why, within the variables included in the daily report, the VaR component of each asset is included, thus allowing a sensitivity analysis on the impact of each asset on the total risk.

With the aim of improving the assumed risk analysis through the use of alternative measurement metrics, the Group recognizes the change in market conditions on exposure to risk through an adjustment to the volatilities used in the VaR calculation. According to the methodology used, the returns of assets registered in more recent dates have a greater incidence in the calculation of volatilities. In parallel, the Entity performs a measurement and monitoring of the assumed risk through the application of an expected shortfall methodology, analyzing the universe of unexpected losses located in the distribution queue beyond the critical point indicated by VaR.

Economic capital calculation

Banco Supervielle adopts the diversified Parametric VaR methodology for the calculation of market risk economic capital, both at a consolidated and individual level. It should be noted that in the case of Cordial Compañía Financiera, according to the provisions established by the Argentine Central Bank, its Board of Directors has chosen to quantify its needs for economic capital by applying a simplified methodology. According to this methodology, the aggregate economic capital arises from the following expression:

EC = (1,05 x MC) + max [0; ΔEVE – 15 % x bS)]

Where, EC: economic capital according to profile’s risk (ICAAP).

MC: Minimum capital requirement in accordance with Argentine Central Bank regulations.

ΔEVE (Economic Value): measure of interest rate risk calculated according to the Standardized Framework

bS (Basic Shareholders’ equity) : Tier 1 capital.

Interest Rate Risk

Interest Rate Risk is the risk derived from the likelihood that changes in the Group’s financial condition occur as a result of market interest rate fluctuations, having effect on its financial income and economic value. The following are such risk factors:

ü

Different terms maturity and interest rate re-adjustment dates for assets, liabilities and off balance sheet items.

ü

Forecast, evolution and volatility of local interest rates and foreign interest rates.

ü

The basis risk that results from the unsuitable correlation in the adjustment of assets and liabilities interest rates for instruments that contain similar revaluation features;

The Group’s interest rate risk management model, includes the analysis of interest rates gaps. Such analysis enables the basic explanation of the financial statement structure as well as the detection of interest rate risk concentration along the different terms. Special attention focuses on the accumulated gap during the first ninety days, as it is the holding period used when evaluating exposure to interest rate risk in each of the entities and due to its relevance when evaluating actions that may modify the structural balance positioning.

The interest rate risk management is aimed at keeping the Group’s exposure within those levels of risk appetite profile validated by the Board upon changes in the market interest rates.

To such ends, the interest rate risk management relies on the monitoring of two metrics:

ü

MVE – VaR Approach: measures the difference between the economic values estimated given the interest rate market curve and said value estimated given the interest rate curve resulting from the simulation of different stress scenarios. The Group uses this approach to calculate the economic capital for this risk.

ü

NIM – EaR Approach: measures changes in expected accruals over a certain period of time (12 months) upon an interest rate curve shift resulting from a different stress situation simulation practices.

During 2018, with the publication of Communication "A" 6397, the Argentine Central Bank presented the applicable guidelines for the treatment of interest rate risk in the investment portfolio. The regulation makes a distinction between the impact of fluctuations in interest rate levels on the underlying value of the entity’s assets, liabilities and off-balance sheet items (economic value or MVE), and the alterations that such movements in the interest rate may have on sensitive income and expenses, affecting net interest income (NII). This same criterion had already been adopted by Banco Supervielle, so that the new regulations implied a readaptation of the management model to the suggested measurement methodology, maintaining some criteria and incorporating others.

As established by the regulator, both Banco Supervielle and Cordial Compañia Financiera must use the Standardized Framework described in point 5.4. of the Communication "A" 6397 for the measurement of the impact on the economic value of the entities (ΔEVE) of six proposed disturbance scenarios. These scenarios include parallel movements in the curves of market interest rates upwards or downwards, flattening or steepening of the slope of these curves, as well as an increase or decrease in short-term interest rates. A base curve of market interest rates is considered for each of the significant currencies in the financial statement of each entity. According to the applicable regulation, Banco Supervielle has to use an internal measurement system (SIM) for measurement based on results (ΔNIM). This requirement is not applicable to Cordial Compañía Financiera. It is important to highlight that Banco Supervielle, which has not been qualified by the Argentine Central Bank as having a local systemic importance (D-SIB), is not legally bound to have its own internal measurement system (SIM) for the measurement based on economic value (ΔEVE).

Beyond the regulatory provisions, it is important to note that both Banco Supervielle and Cordial Comapñia Financiera have been working with internal measurement systems (SIM) to measure the impact of rate fluctuations, both on economic value (ΔEVE) and on results (ΔNIM). The development of these systems included the definition of assumptions for the determination of the maturity flow of different lines of assets and liabilities without defined maturity or with implicit or explicit options of behavior.

During 2020 an important methodological change was implemented, since the Entity decided to align itself with the provisions of the Standardized Framework in relation to assets and liabilities with Units of Purchasing Power (UVA) adjustment and stopped considering them as susceptible to interest rate risk in the risk calculation with its internal measurement systems (SIM).

Improvements were made to the dynamic rate GAP measurement tool, allowing various sensitivity exercises to be carried out in a year characterized by a changing context and numerous regulations that altered financial margins.

Economic Capital Calculation

As a first step to calculate economic capital, Banco Supervielle calculates its exposure to interest rate risk from the MVE-EaR (economic value) approach of its internal measurement system (SIM), using a holding period of three months (90 days) and a confidence level of 99%. This quantitative model includes the exacerbation of capital by securitization risk. The result obtained is compared with the worst result of the alterations proposed in the six scenarios proposed by the Standardized Framework, with the resulting economic capital being the worst of both measurements (SIM and Standardized Framework).

In the case of Cordial Compañía Financiera, as mentioned above, the Entity’s Board of Directors has chosen to quantify its needs for economic capital by applying a simplified methodology. With regard to interest rate risk, the Group measures the impact of fluctuations in market interest rates on the economic value based on the application of the Standardized Framework. In the event that the worst  EVE of the six scenarios proposed by the regulation exceeds 15% of the basic net worth (capital level one) of the Entity, the sum of the economic capital calculated according to the simplified methodology would be increased by said excess.

The exposure to interest rate risk is detailed in the table below. It presents the residual values  and average rate of the assets and liabilities, categorized by date of renegotiation of interest or expiration date, the lowest.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

Term in days

 

Assets and Liabilities

    

Up to 30

    

From 30 to 90

    

from 90 to 180

    

from 180 to 365

    

More than 365

    

Total

 

To 12/31/2020

 

Total Financial Assets

 

94,212,108

 

23,283,810

 

21,884,220

 

13,991,605

 

76,333,380

 

229,705,123

 

Total Financial Liabilities

 

(110,298,588)

 

(23,704,722)

 

(5,066,130)

 

(1,500,505)

 

(69,482,671)

 

(210,052,616)

 

Net Amount

 

(16,086,480)

 

(420,912)

 

16,818,090

 

12,491,100

 

6,850,709

 

19,652,507

 

Average rate Assets

 

33.76

%

37.13

%

37.10

%

44.08

%

22.70

%

31.37

%

Average rate Liabilities

 

31.29

%

16.88

%

15.85

%

42.82

%

13.45

%

23.60

%

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

Term in days

 

Assets and Liabilities

    

Up to 30

    

From 30 to 90

    

from 90 to 180

    

from 180 to 365

    

More than 365

    

Total

 

To 12/31/2019

 

Total Financial Assets

 

57,417,639

 

20,427,549

 

15,594,538

 

16,684,376

 

69,002,031

 

179,126,133

 

Total Financial Liabilities

 

(68,842,995)

 

(18,271,575)

 

(6,965,625)

 

(9,086,825)

 

(60,866,894)

 

(164,033,914)

 

Net Amount

 

(11,425,356)

 

2,155,974

 

8,628,913

 

7,597,551

 

8,135,137

 

15,092,219

 

Average rate Assets

 

50.15

%

62.53

%

62.88

%

61.73

%

31.39

%

46.52

%

Average rate Liabilities

 

40.67

%

36.72

%

28.94

%

34.96

%

25.25

%

33.70

%

 

The table below shows the sensitivity to a reasonably possible additional variation in interest rates for the next year, taking into account the composition as of December 31, 2020. Variations in rates were determined considering the scenarios set by Communication "A" 6397 for the calculation of the Interest Rate Risk in the Investment Portfolio.

 

 

 

 

 

 

 

 

 

 

 

 

12/31/2020

 

12/31/2019

 

    

 

    

Increase / (decrease) 

 

 

    

Increase / (decrease) 

Concepto

 

Additional variation in

 

in the income

 

Additional variation in

 

in the income

 

 

the interest rate

 

statement

 

the interest rate

 

statement

Decrease in the interest rate

 

4% ARS; 2% USD

 

(433,698)

 

4% ARS; 2% USD

 

(486,558)

Increase in the interest rate

 

4% ARS; 2% USD

 

430,992

 

4% ARS; 2% USD

 

354,392

 

If the market interest rates for instruments denominated in pesos decreased by 4 percentage points and f 2 percentage points for those denominated in US dollars, net income for the year would decrease  by 433,698 and 486,558 as of the end of December 31, 2020 and 2019 respectively. On the contrary, if the interest rates increased in equal measure,  net income for the year would increase by 430,992 and 354,392 respectively.

Liquidity Risk

The Group defines Liquidity Risk as the risk of assuming additional financing expenses upon unexpected liquidity needs. Such risk results from the difference of sizes and maturities between the Group’s assets and liabilities. Such risks involve the following:

ü

Funding Liquidity Risk means the risk to obtain funds at normal market cost when needed, based on the market’s perception of the Group.

ü

Market Liquidity Risk means the risk resulting from the Group’s incapacity to offset an asset position at market price, as a consequence of the following two key factors:

·

Assets are not liquid enough,

·

Changes in the markets where those assets are traded.

Liquidity and concentration indicators of funding sources are used to determine the tolerance to this risk, starting from the most restrictive definitions to the most comprehensive ones.

The following are the main core metrics used for liquidity risk management:

ü

LCR (Liquidity Coverage Ratio): measures the relation between high quality liquid assets and total net cash outflows over a 30‑day period. The Group estimates this indicator on a daily basis, having met during the year the minimum value established by law, as well as that established internally based on their risk appetite.

ü

Net Stable Funding Ratio (NSFR): measures the ability of the Group to fund its activities with sufficiently stable sources to mitigate the risk of future stress situations arising from its funding. The Group calculates this indicator on a daily basis, having complied with the minimum value required by the regulator and that that established internally based on its risk appetite.

ü

Coverage of Remunerated Accounts and Pre-Payable Term Deposits this indicator is aimed to reduce funding dependence of unstable sources in non-liquid scenarios.

In addition, the Assets and Liabilities Committee performs a daily monitoring of some follow-up metrics . Such indicators are used to analyze the main components of LCR while assessing the Group’s liquidity condition and warning upon trend changes that may affect the guidelines set by the risk appetite policy. Additionally, within these monitoring indicators, Committee assess for the availability of liquid assets to respond to an eventual withdrawal of more volatile deposits, such us remunerated sight accounts and deposits of the public sector in foreign currency.

 

During 2020 the local financial market operated with high levels of liquidity due to the impact of restrictions on mobility, the consequent drop in the level of economic activity and the strong monetary issue faced by the Central Bank of Argentina to cover the needs of assistance to the sectors affected by the COVID-19 pandemic. This strong initial growth of the monetary base had its correlation in the use of LELIQ and Pasive Repo by the monetary authority as an absorption mechanism. In line with the aforementioned, Banco Supervielle experienced strong growth in demand balances, both for retail and institutional clients. The latter, with their correlate in loans to the Central Bank of Argentina via LELIQ and / or Repo, counteracted the positive effect of growth in retail balances and put pressure on the LCR, which was effectively managed throughout the year, staying within comfort values established by the Board of Directors.

 

Liquidity in dollars strengthened throughout the year. On the one hand, the strong drop in deposits that began in August 2019 gradually diminished until reaching a reversal and slightly positive monthly variations towards the end of 2020. This was combined with an active management of loan collections in dollars, which is reflected in a significant fall in balances on this line of the balance sheet.

 

Economic capital calculation

The Group relies on the following elements that ensure the suitable management of this type of risk:

ü

Broad liquidity indicators dashboard, to monitor liquidity levels. Each indicator relies on its relevant threshold and limit, which are monitored on a daily basis by the Risk Area (sending due warnings upon violation cases), on a byweekly basis by the Assets and Liabilities Committee (ALCO) and on a monthly basis by the Integral Risk Committee. Likewise, a weekly report is drawn up and sent to members of the Integral Risk Committee, ALCO and the Board.

ü

Indicators that measure the concentration of funding sources, establishing the Group’s risk appetite.

ü

Development and monitoring of new liquidity coverage and leverage indicators set by the Argentine Central Bank in compliance with Basle III route map.

ü

Different liquidity risk follow-up tools have been added, including a disaggregate assessment of contractual term mismatches and funding concentration reports, by counterparty, product and significant currency. The accuracy of the information required for such reports contributed to the improvement of our Risk Management Information System (MIS).

ü

The liquidity coverage ratio is used to assess the Group’s capacity to meet liquidity needs over a 30‑day period within a stress scenario described by the Argentine Central Bank. The follow-up of this indicator is carried out on a daily basis, keeping the Group’s liquidity director and officials updated on its evolution.

ü

Permanent monitoring of limit and threshold compliance in virtue of the stable funding ratio (NSFR).

ü

Individual stress tests, carried out on a daily basis upon an eventual critical scenario of a sudden withdrawal of deposits and its impact on the minimum cash position and LCR.

ü

Intraday liquidity monitoring tools as indicated above.

ü

Regarding contingency plans, the Group follows a policy that ensures the application of its guidelines in stress tests, according to the decision taken by ALCO Committee and Integral Risk Committee.

The Risk management framework described herein enables a suitable liquidity condition; therefore, the Group considers the economic capital estimation unnecessary to cover such risk, as long as the Group’s solvency should not be affected once the stress tests contingency plan have been implemented.

 

Below is an analysis of the assets and liabilities maturities, determined based on the remaining period as of December 31, 2020 and 2019 until the contractual maturity date, based on undiscounted cash flows:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

Less than

    

From 1 to

    

From 6 to

    

From 1 to

    

More than

    

 

As of 12/31/2020

 

1 month

 

6 months

 

12 months

 

5 years

 

5 years

 

Total

Cash and due from banks

 

36,717,126

 

 —

 

 —

 

 —

 

 —

 

36,717,126

Cash

 

12,868,539

 

 —

 

 —

 

 —

 

 —

 

12,868,539

Financial institutions and correspondents

 

 —

 

 —

 

 —

 

 —

 

 —

 

 —

Argentine Central Bank

 

19,836,222

 

 —

 

 —

 

 —

 

 —

 

19,836,222

Other local financial institutions

 

3,848,820

 

 —

 

 —

 

 —

 

 —

 

3,848,820

Others

 

163,545

 

 —

 

 —

 

 —

 

 —

 

163,545

Debt Securities at fair value through profit or loss

 

2,995,709

 

3,863,084

 

654,825

 

4,023,869

 

 —

 

11,537,487

Derivatives

 

143,944

 

 —

 

 —

 

 —

 

 —

 

143,944

Reverse Repo transactions

 

22,452,025

 

 —

 

 —

 

 —

 

 —

 

22,452,025

Other financial assets

 

 —

 

 —

 

 —

 

 —

 

1,995,834

 

1,995,834

Loans and other financing

 

16,751,292

 

45,402,101

 

16,099,375

 

31,723,942

 

3,578,926

 

113,555,636

To the non-financial public sector

 

23,289

 

 —

 

 —

 

 —

 

 —

 

23,289

To the financial sector

 

4,206

 

6,702

 

2,544

 

 —

 

 —

 

13,452

To the Non-Financial Private Sector and Foreign residents

 

16,723,797

 

45,395,399

 

16,096,831

 

31,723,942

 

3,578,926

 

113,518,895

Other debt securities

 

28,385,679

 

639,210

 

7,089,420

 

5,966,933

 

100,395

 

42,181,637

Financial assets pledged as collateral

 

1,686,400

 

3,680,854

 

717,294

 

1,907,549

 

311,972

 

8,304,069

TOTAL ASSETS

 

109,132,175

 

53,585,249

 

24,560,914

 

43,622,293

 

5,987,127

 

236,887,758

Deposits

 

132,523,336

 

26,459,417

 

5,289,801

 

10,644,216

 

4,566,477

 

179,483,247

Non-financial public sector

 

6,331,241

 

1,493,437

 

55,608

 

112,268

 

57,938

 

8,050,492

Financial sector

 

89,090

 

 —

 

 —

 

 —

 

 —

 

89,090

Non-financial private sector and foreign residents

 

126,103,005

 

24,965,980

 

5,234,193

 

10,531,948

 

4,508,539

 

171,343,665

Liabilities at fair value through profit or loss

 

 —

 

2,547,937

 

 —

 

 —

 

 —

 

2,547,937

Repo transactions

 

 —

 

 —

 

 —

 

 —

 

 —

 

 —

Other financial liabilities

 

7,732,441

 

 —

 

 —

 

 —

 

 —

 

7,732,441

Financing received from the Argentine Central Bank and other financial institutions

 

68,390

 

1,989,029

 

1,855,366

 

1,917,967

 

 —

 

5,830,752

Unsubordinated debt securities

 

 —

 

3,586,903

 

455,669

 

1,295,122

 

 —

 

5,337,694

Subordinated debt securities

 

 —

 

39,259

 

1,170,903

 

 -

 

 —

 

1,210,162

TOTAL LIABILITIES

 

140,324,167

 

34,622,545

 

8,771,739

 

13,857,305

 

4,566,477

 

202,142,233

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

    

Less than

    

From 1 to

    

From 6 to

    

From 1 to

    

More than

    

 

As of 12/31/2019

 

1 month

 

6 months

 

12 months

 

5 years

 

5 years

 

Total

Cash and due from banks

 

26,670,491

 

 —

 

 —

 

 —

 

 —

 

26,670,491

Cash

 

8,822,591

 

 —

 

 —

 

 —

 

 —

 

8,822,591

Financial institutions and correspondents

 

 —

 

 —

 

 —

 

 —

 

 —

 

 —

Argentine Central Bank

 

16,381,107

 

 —

 

 —

 

 —

 

 —

 

16,381,107

Other local financial institutions

 

1,435,202

 

 —

 

 —

 

 —

 

 —

 

1,435,202

Others

 

31,591

 

 —

 

 —

 

 —

 

 —

 

31,591

Debt Securities at fair value through profit or loss

 

430,513

 

 —

 

 —

 

 —

 

 —

 

430,513

Derivatives

 

257,587

 

 —

 

 —

 

 —

 

 —

 

257,587

Reverse Repo transactions

 

 —

 

 —

 

 —

 

 —

 

 —

 

 —

Other financial assets

 

 —

 

 —

 

 —

 

 —

 

939,852

 

939,852

Loans and other financing

 

21,306,539

 

32,856,149

 

14,084,678

 

22,046,665

 

1,106,681

 

91,400,712

To the non-financial public sector

 

28,872

 

 —

 

 —

 

 —

 

 —

 

28,872

To the financial sector

 

5,355

 

17,375

 

9,763

 

10,492

 

 —

 

42,985

To the Non-Financial Private Sector and Foreign residents

 

21,272,312

 

32,838,774

 

14,074,915

 

22,036,173

 

1,106,681

 

91,328,855

Other debt securities

 

7,171,139

 

401,722

 

3,090,168

 

 —

 

 —

 

10,663,029

Financial assets pledged as collateral

 

765,391

 

2,880,890

 

733,929

 

2,055,037

 

1,982,106

 

8,417,353

TOTAL ASSETS

 

56,601,660

 

36,138,761

 

17,908,775

 

24,101,702

 

4,028,639

 

138,779,537

Deposits

 

61,988,823

 

6,814,743

 

23,328,510

 

17,172

 

 —

 

92,149,248

Non-financial public sector

 

4,984,287

 

96,282

 

389,608

 

 —

 

 —

 

5,470,177

Financial sector

 

37,358

 

 —

 

 —

 

 —

 

 —

 

37,358

Non-financial private sector and foreign residents

 

56,967,178

 

6,718,461

 

22,938,902

 

17,172

 

 —

 

86,641,713

Liabilities at fair value through profit or loss

 

189,554

 

 —

 

 —

 

 —

 

 —

 

189,554

Repo transactions

 

225,144

 

 —

 

 —

 

 —

 

 —

 

225,144

Other financial liabilities

 

7,894,660

 

 —

 

 —

 

 —

 

 —

 

7,894,660

Financing received from the Argentine Central Bank and other financial institutions

 

96,682

 

3,197,676

 

279,037

 

5,453,649

 

 —

 

9,027,044

Unsubordinated debt securities

 

 —

 

3,376,997

 

3,095,134

 

3,144,238

 

 —

 

9,616,369

Subordinated debt securities

 

 —

 

75,654

 

1,423,084

 

861,402

 

 —

 

2,360,140

TOTAL LIABILITIES

 

70,394,863

 

13,465,070

 

28,125,765

 

9,476,461

 

 —

 

121,462,159