Disclosure Of Risk Management [Text Block] | NOTE 31. RISK MANAGEMENT The Bank’s comprehensive risk management is developed in compliance with current regulations and internal standards as defined by the Board of Directors, in relation to market, credit/ counterparty, liquidity and operational risk. The Board of Directors reviews and approves the resources, structure and processes of the Bank associated with risk management, and the development of its supervisory functions has the support of the Risk Committee in charge of the approval, monitoring and control of policies, methodologies, tools, guidelines and strategies for the identification, measurement, control and mitigation of risks. The Risk Corporate Vicepresidency professionals manage the different risks inherent to the activities undertaken in the fulfillment of their responsibilities. 31.1 Credit risk Credit risk Credit risk is the risk of an economic loss to the Bank due to a non-fulfillment of financial obligations by a customer or counterparty, and arises principally from the decline on borrower´s creditworthiness or changes in the business climate. December 31, 2017 Maximum exposure Collateral Net exposure In millions of COP Loans and Advances 160,468,094 (71,122,738) 89,345,356 Commercial 88,997,241 (42,593,800) 46,403,441 Consumer 27,646,114 (5,915,201) 21,730,913 Mortgage 20,512,208 (18,991,957) 1,520,251 Small Business Loans 1,063,580 (652,227) 411,353 Financial Leases 22,248,951 (2,969,553) 19,279,398 Off-Balance Sheet Exposures 22,360,075 - 22,360,075 Financial Guarantees 6,701,643 - 6,701,643 Loan Commitments 15,658,432 - 15,658,432 Other Financial Instruments (1) 16,837,677 (2,867,247) 13,970,430 Debt Securities 14,859,423 (2,741,345) 12,118,078 Derivatives 457,940 (125,902) 332,038 Equity Securities (2) 1,520,314 - 1,520,314 Total 199,665,846 (73,989,985) 125,675,861 December 31, 2016 Maximum exposure Collateral Net exposure In millions of COP Loans and Financial Leases 151,747,486 (68,627,160) 83,120,326 Commercial 86,259,708 (28,801,285) 57,458,423 Consumer 23,925,279 (5,917,791) 18,007,488 Mortgage 19,155,852 (18,193,999) 961,853 Small Business Loans 1,062,724 (296,816) 765,908 Financial Leases 21,343,923 (15,417,269) 5,926,654 Off-Balance Sheet Exposures 15,499,545 - 15,499,545 Financial Guarantees 6,344,004 - 6,344,004 Loan Commitments 9,155,541 - 9,155,541 Other Financial Instruments (1) 13,900,216 (1,384,764) 12,515,452 Debt Securities 11,705,563 (1,137,457) 10,568,106 Derivatives 779,829 (247,307) 532,522 Equity Securities 1,414,824 - 1,414,824 Total 181,147,247 (70,011,924) 111,135,323 (1) Collateral Held (-) and Collateral Pledged (+). (2) Includes investments classified as “assets held for sale”. See Note 12 Assets held for sale and inventories, net. Maximum exposure to credit risk of the loans and advances refers to the carrying amount at the end of the period. It does not take into account any collateral received or any other credit risk mitigates. Maximum exposure to credit risk of financial guarantees corresponds to the total amount guaranteed at the end of the period. This amount represents the worst case scenario and does not reflect the expected results. Maximum exposure to derivatives refers to the fair value at the end of the period, without considering any guarantee received or any other credit risk mitigates. Maximum exposure to credit risk of debt securities and equity securities refers to the carrying amount at the end of the period without considering any guarantee received. a. Credit Risk Management - Loans and Advances Risk management during the credit life cycle is developed through the fulfillment of the policies, procedures and methodologies stipulated in the Credit Risk Administration System, in accordance with the strategy approved by the Board of Directors for monitoring and controlling credit risk. The Credit Risk Administration System also contains the general criteria to evaluate, classify, measure and mitigate credit risk. In addition, the credit risk department has developed methodologies and manuals that specify the policies and procedures for different products and segments managed by the Bank. To maintain credit quality and manage the risk arising from its lending activities, the Bank has established general loan policies, including the following: · Credit exposure limits: It contains guidelines with regards to the establishment of credit exposure limits. It is set in fulfillment of legal requirements and according to Bancolombia internal guidelines. · Origination policies: These policies aim to acquire ample and sufficient knowledge of the characteristics of potential borrowers and to select them properly. The riskiness of the borrowers is determined using credit rating models. These models use information such the character, reputation and credit history of the borrower, the type of business the borrower engages in, the borrower’s ability to repay the loan, and information received from the credit risk bureaus. The credit risk rating system is also used in determining the allowance for loans and advances and lease losses. Loan applications, depending on their amount, are presented for approval at the level of management authority required. · Collaterals policies : For the purpose of mitigating risk associated with non-fulfillment of obligations agreed upon by the borrower, the Bank has established policies for the valuation of collateral received as well as for the determination of the maximum loan amount that can be granted against the value of the collateral. · Allowance policies: the objective of this policy is to fulfil legal requirements and the Bank’s business policies. In addition, this policy is meant to provide the guidelines to perform client’s status analysis and take the necessary actions in order to mitigate credit risk the Bank is exposed to. · Monitoring policies: Contains various monitoring procedures, portfolio reports and policies for the purpose of overseeing, in an adequate and timely manner, the evolution of credit risk. These procedures include a continuous process of classification and reassessment of credit operations and they maintain consistency with the policies implemented for granting loans. · Portfolio recovery policies: Through the definition of these policies, the organization aims to establish those mechanisms that allow it to anticipate the action to be taken in the event of possible delays and minimize the impact resulting from non-fulfillment of payment or delays by the borrower. Additionally, the aspects established in this policy delimit what the organization has defined as collection management and that make it possible to obtain information to improve the origination policies and the allowances for loans and advances and lease losses models. Management of credit risk is carried out in all of the credit life cycle. These processes are defined in the following way: · Origination: Knowing the borrower, payment capacity analysis, payment behavior and credit approval and structure. · Monitoring: Knowing the borrower’s situation during the life of the credit. · Recovery: Collection management during the different stages of the same credit. In order to withstand the credit origination processes, the Bank develops scoring and rating models based on statistical information or criteria from experts, which differentiate the risk levels of potential borrowers in order to support the decision making process. The Risk Corporate Vice Presidency is in charge of defining and documenting the specific characteristics of the models being utilized, as well as the parameters, variables to use in each case and the cut-off points that are applied per situation in the process of issuing credit. On an annual basis at the minimum, the Risk Corporate Vice Presidency must perform backtesting 1 In addition to the evaluation and qualification of the portfolio, the monthly allowance for loans and advances and lease losses serves to measure the present condition of the portfolio, the methodologies used for its calculation serve as a tool to evaluate risk, be it in a collective or individual manner. Collective evaluation of the portfolio applies the following parameters for measuring risk: probability of default (PD), loss given default (LGD) and exposure at default (EAD). The individual risk analysis is applied to impaired borrowers with significant loan carrying amount larger than COP 5.000 million (USD 1.5 million for foreign subsidiaries); the evaluation relies on the borrower’s projected cash flows. The basic projection assumptions are based on a qualitative analysis and are supported by the AEC 2 Annual backtesting must be performed on the allowances for loans and advances and lease losses models for the purpose of maintaining suitable hedge levels in accordance with the Bank’s risk appetite. The Bank is continuously monitoring the concentration of the risk groups, as well as carrying out a daily control of the exposure to different economic groups, evaluating the legal limits of indebtedness in order to fulfill the norms established about the concentration limits. The Bank performs international references determined by the rankings of external risks that allow the analysis of concentration levels in different geographic areas. On the other hand, at the legal level, the Bank is governed by the concepts and methodologies established by the external norms regarding the construction, administration and control of the concentration of economic groups. The following classifications are established for the analysis of concentration: · By country : based on the country that the loans were originated. · By sector: done according to the sectorial sub-segmentation defined by the Bank based mainly on the code CIIU 3 · By categories: refers to the portfolio categories of each agreement (commercial, financial leases, consumer loans, small business loans and mortgages). · By economic group: according to the characteristics of economic groups as established by regulations. · By maturity: consistent with the remaining term to loan maturity. · By past due days: this concentration evaluates loans that are more than one month overdue. 1 Statistical procedures used to validate the quality and accuracy of a model, through the comparison of actual results and risk measures generated by the models. 2 AEC: “Administración Especial de Clientes”. It’s a committee that meets periodically to identify current situations or anticipate future situations that might generate a possible deterioration in the client’s. 3 CIIU: International Standard Industrial Classification of All Economic Activities. b. Credit Quality Analysis - Loans and Financial Leases Rating System for Credit Risk Management Its principal aim is to determine the risk profile of the borrower, which is obtained through a rating. The rating for corporate loans is assigned principally based on the analysis of the interrelation of both qualitative and quantitative elements that can affect the fulfillment of the financial commitments acquired by a borrower. They take information on the financial statements, profit and loss statement, historical payment behavior both with the Bank and with other entities, and qualitative information on variables that are not explicit in the financial statements. The rating model is applied at the origination of the loan and is updated by a central qualification office to undertake a periodical evaluation of the loan portfolio, during the months of May and November each year. In the case of a retail customer, granting and behavior scoring models are used in order to identify the level of risk associated with the borrower. These models include information as personal details, financial information, historical behavior, the total number of credit products and external information from credit bureaus. As the subsidiaries have their own internal rating models, for purposes of assessing the consolidated credit risk in a homogeneous bases, the Bank has established the following categories of risk in order to classify borrowers according to their payment behavior: Category Description A- Normal Risk Loans and advances in this category are appropriately serviced. The borrower’s financial statements or its projected cash flows, as well as all other credit information available to the Bank, reflect adequate paying capacity. B- Acceptable Risk Loans and advances in this category are acceptably serviced and guaranty protected, but there are weaknesses in the payment capacity of the borrower which may potentially affect, on a temporary or permanent basis, the borrower’s ability to pay or its projected cash flows, to the extent that, if not timely corrected, would affect the normal servicing of the loans and advances. C- Appreciable Risk Loans and advances in this category represent insufficiencies in the borrower’s paying capacity or in the projected cash flow, which may compromise the normal servicing of the loans and advances. D- Significant Risk Loans and advances in this category have the same deficiencies as loans in category C, but to a larger extent; consequently, the probability of collection is highly doubtful. E- Unrecoverable Loans and advances in this category are deemed uncollectible. Description of Loans and Financial Leases In order to evaluate and manage credit risk, the credits and financial leasing operations have been classified as: · Commercial and Financial Leases: Loans granted to individuals or companies in order to carry out organized economic activities and are not classified as small business loans. Segment Incomes/Sales Business Companies with annual sales > = COP 20,000 M and < COP 45,000 M except for Banco Agrícola, which places borrowers with annual sales >= USD 1M and < USD 25 M and their main activity is in El Salvador. Business Construction Constructors who dedicate themselves professionally to the construction of buildings to be sold as their main activity, with annual sales >= COP 20,000 M and <= COP 45,000 M or with more than three projects. Corporate Construction Constructors who dedicate themselves to the construction of buildings to be sold as their main activity, with annual sales > COP 45,000 M or more than five projects Corporate Companies with annual sales >= COP 45,000 M., Banistmo places borrowers with annual sales >to USD 10 M in this classification and Banco Agrícola places borrowers with annual sales >= USD 25 M and their main activity is in El Salvador. Institutional Financing Financial sector institutions. Government Municipalities, districts, departments with their respective decentralized organizations and entities at the national level. SME Annual sales < COP 20,000 M, with a classification between small, medium, large and plus except for Banistmo which place companies that do not surpass USD 10 M in annual sales in this classification. · Consumer: Loans and advances, regardless of amount, granted to individuals for the purchase of consumer goods or to pay for non-commercial or business services. These loans are classified as follows: Classification Vehicles Credits granted for the acquisition of vehicles. The vehicle financed is used as collateral for the loan. Credit cards Rolling credit limits for the acquisition of consumer goods, utilized by means of a plastic card. Payroll loans It is a credit line attached to an authorized individual payroll amount. Others loans Loans granted for the acquisition of consumer goods other than vehicles and Payroll loans Credit cards are not included in this segment. The counterparty of this portfolio is mainly made up of individuals, segmented in homogenous groups, which are formed according to their size, which is calculated by their monthly income. · Mortgage: These are loans, regardless of amount, granted to individuals for the purchase of a new or used house, commercial real estate or to build a home. These loans include loans denominated in local units or local currency that are guaranteed by a senior mortgage on the property and that are financed with a total repayment term of 5 to 30 years. The counterparty of the mortgage loan is mainly made up of individuals segmented in homogenous groups, which are formed according to their size, which is calculated by their monthly income. · Small Business Loans: These are issued for the purpose of encouraging the activities of small business and most comply with the segmentation conditions. The borrower of this portfolio is mainly made up of individuals, segmented in homogenous groups, which are formed according to their commercial size, which is calculated by their monthly income. Analysis of the behavior and impairment of the loan portfolio and financial lease operations As of December 31, 2017, bank’s total loan portfolio shows a moderate growth, explained mainly by Bancolombia and Banistmo. The disbursements presented an increase of 13.00% compared to the previous year, equivalent to an increase of 5.75% of the portfolio valued in pesos. The events that are worth to highlight in 2017 were: lower macroeconomic dynamics in Colombia and Panamá, in addition to credit impairments in Colombian sectors as natural resources, infrastructure, massive transport systems and the SME segment, triggering a direct impact on the portfolio, evidenced in all credit lines. The previous described events led to an increase in the 30-day past due loan ratio (consolidated), from 3.31% in 2016 to 4.49% for 2017. · Commercial loans and finance lease amounted to COP 111,250 billion, which represented an increase of 3.39% with respect to 2016. Its 30-day past due loan ratio was 3.39%, explained mainly by credit impairments of certain corporate clients with significant credit exposure, in addition to the generalized credit deterioration of the SME segment in Colombia. · Consumer loans stood at COP 27,650 billion, which represented an increase of 15.55% with respect to 2016. Its 30-day past due loan ratio was 5.88%. · Mortgage loans came to COP 20,510 billion, which represented an increase of 7.08% with respect to 2016. Its 30-day past due loan ratio was 7.92%. · Microcredit portfolio ended at COP 1,060 billion, which represented an increase of 0.08% with respect to 2016. Its 30-day past due loan ratio was 12.86%. · In order to monitor credit risk associated with clients, Grupo Bancolombia has established regular meetings conducted by a committee to identify events that can lead to a reduction in borrowers’ ability to pay. Generally, clients with good credit behavior could be included in the watch list in case of detecting any event that can lead to future financial difficulties to repay their loans; for instance, internal factors as the economic activity, financial weakness, impacts of macroeconomic conditions, changes in corporate governance and other situations that could affect clients’ business. During 2017, risk level 4 was created for nonperforming clients without any financial, operational or commercial viability, where the objective is to obtain the highest possible portfolio recovery by judicial means, in order to reduce or end the commercial relationship given their inability to pay. Watch List December 31 2017 Million COP Risk Level Amount % Allowance Level 1 - Low Risk 4,938,711 2.00% 114,361 Level 2 - Medium Risk 1,641,169 5.00% 81,796 Level 3 - High Risk 3,806,554 33.00% 1,264,077 Level 4 - High Risk 1,509,014 76.00% 1,150,212 Total 11,895,448 22.00% 2,610,447 Watch List December 31 2016 Million COP Risk Level Amount % Allowance Level 1 Low Risk 3,738,353 3.00% 124,139 Level 2 Medium Risk 1,623,733 3.00% 46,627 Level 3 and 4 High Risk 4,461,571 30.00% 1,316,480 Total 9,823,657 15.00% 1,487,246 Loans and Financial Leases Collateral The Bank obtains collateral for loans and leases in order to mitigate credit risk by foreclosing the collateral when the borrower cannot fully repaid the loan or lease. Collateral is considered in the determination of the allowance for loans and advances and lease losses when it complies with the following conditions: · Their fair value is enough to cover the exposure of the obligation and was established according to technical and objective criteria. · The entity is granted a preference or an improved right to obtain the payment of the obligation, becoming an effective collateral. · Its performance is reasonably possible. · They are a payment source that sufficiently attends to the credit as per the requirement of the Bank. · When the borrower is a government entity, the collateral has to have a pledge certificate issued by the appropriate authority. The Bank has defined the criteria for the collateral enforceability, which are established according to the classification of loan portfolio. Besides, the Bank has set guidelines to value collaterals and the frequency of such valuations, as well as those guidelines related to the legalization, registry and maintenance of the collateral. Likewise, the Bank has defined the criteria for insurability, custody and the necessary procedures for their cancellation. The update of the fair value of mortgages and vehicles collaterals for the loan portfolio is made between one and three years of agreement with the policy. The methodology used to estimate the fair value of the properties is applied by external and independent entities. Updating the fair value of the vehicles is done through guides and valid values commonly used as reference to set the value of a vehicle. The fair value of real state and vehicles are classified in levels 2 and 3 depending on the observability and significance of the inputs used in the valuation techniques according to the hierarchy established by IFRS 13. December 31, 2017 Amount Covered by Collateral In Millions of COP Nature of the Collateral Commercial Consumer Mortgage Financial Leasing Small Business Total Real Estate and Residential 19,529,154 1,572,455 18,959,433 - 273,248 40,334,290 Goods Given in Real Estate Leasing 7,725,197 - - 2,392,075 - 10,117,272 Goods Given in Leasing Other Than Real Estate 5,124,246 112,724 - 577,447 - 5,814,417 Stand by Letters of Credit 455,793 - - - - 455,793 Security Deposits 779,008 300,730 - - 56,588 1,136,326 Guarantee Fund 2,583,354 147 - - 301,045 2,884,546 Sovereign of the Nation 12,710 - - - - 12,710 Collection Rights 3,220,882 41,597 - - 1,119 3,263,598 Other Collateral (Pledges) 3,163,456 3,887,548 32,524 31 20,227 7,103,786 Without Guarantee (Uncovered Balance) 46,403,441 21,730,913 1,520,251 19,279,398 411,353 89,345,356 Total loans and financial leases 88,997,241 27,646,114 20,512,208 22,248,951 1,063,580 160,468,094 December 31, 2016 Amount Covered by Collateral In Millions of COP Nature of the Collateral Commercial Consumer Mortgage Financial Leasing Small Business Total Real Estate and Residential 18,359,267 1,493,231 17,862,248 - 215,889 37,930,635 Goods Given in Real Estate Leasing - - - 9,231,286 - 9,231,286 Goods Given in Leasing Other Than Real Estate - - - 6,185,983 - 6,185,983 Stand by Letters of Credit 206,453 - - - - 206,453 Security Deposits 1,015,605 280,543 - - 59,029 1,355,177 Guarantee Fund 2,542,666 53 308,532 - 348 2,851,599 Sovereign of the Nation 25,421 - - - - 25,421 Collection Rights 2,896,981 35,816 - - 1,230 2,934,027 Other Collateral (Pledges) 3,754,892 4,108,148 23,219 - 20,320 7,906,579 Without Guarantee (Uncovered Balance) 57,458,423 18,007,488 961,853 5,926,654 765,908 83,120,326 Total loans and financial leases 86,259,708 23,925,279 19,155,852 21,343,923 1,062,724 151,747,486 Foreclosed assets and other credit mitigants Assets received in lieu of payment (foreclosed assets) are recognized on the statement of financial position when current possession of the asset takes place. Foreclosed assets represented by immovable or movable property are received based on a commercial valuation. Foreclosed assets such as equity securities and other financial assets, are received based on market value. During 2017 and 2016, foreclosed assets received amounted to COP 331,057 and COP 487,122, respectively. The Bank classifies foreclosed assets after acknowledgment of the exchange operation according to the intention of use, as follows: · Non-current assets held for sale. · Other marketable assets. · Other non-marketable assets. · Financial instruments (investments). · Inventories. · Premises and equipment. The enforcement of collaterals classified as non-current assets held for sale are those expected to be sold in the following 12 months. When there are market restrictions that do not allow their realization in less than 12 months and this period is extended, retroactive depreciation must be charged to results and the asset value will be reduced by the depreciation value. c. Risk Concentration Loans and Advances The analysis of credit risk concentration is done by monitoring the portfolio by groups such as: maturity loan, past due loan, loan categories and loan by sector and risk country, as shown here: · Loans concentration by category Composition December 31 2017 December 31, 2016 In millions of COP Commercial 88,997,241 86,259,708 Corporate 58,661,267 55,862,353 SME 17,184,059 16,521,808 Others 13,151,915 13,875,547 Consumer 27,646,114 23,925,279 Credit card 6,255,277 7,784,658 Vehicle 2,915,705 3,058,653 Payroll loans 6,970,783 5,080,660 Others 11,504,349 8,001,308 Mortgage 20,512,208 19,155,852 VIS 1 5,491,926 5,017,520 Non- VIS 15,020,282 14,138,332 Financial Leases 22,248,951 21,343,923 Small Business Loan 1,063,580 1,062,724 Loans and advances to customers and financial institutions 160,468,094 151,747,486 Allowance for loans and advances and lease losses (8,223,103) (6,621,911) Total net loan and financial leases 152,244,991 145,125,575 1 · Concentration of loan by maturity December 31, 2017 Maturity Less Than 1 Year Between 1 and 3 Years Between 3 and 5 Years Greater Than 5 Years Total In millions of COP Commercial 26,641,770 19,583,956 13,561,261 29,210,254 88,997,241 Corporate 17,054,923 11,588,101 8,533,725 21,484,518 58,661,267 SME 5,568,251 5,684,612 2,973,761 2,957,435 17,184,059 Others 4,018,596 2,311,243 2,053,775 4,768,301 13,151,915 Consumer 1,393,022 4,826,773 12,035,699 9,390,620 27,646,114 Credit card 761,294 1,104,571 2,384,220 2,005,192 6,255,277 Vehicle 67,118 718,610 1,499,980 629,997 2,915,705 Payroll loans 52,087 692,079 1,325,911 4,900,706 6,970,783 Others 512,523 2,311,513 6,825,588 1,854,725 11,504,349 Mortgage 50,102 148,851 389,456 19,923,799 20,512,208 VIS 12,238 40,182 93,917 5,345,589 5,491,926 Non-VIS 37,864 108,669 295,539 14,578,210 15,020,282 Financial Leases 3,101,344 2,698,394 3,546,370 12,902,843 22,248,951 Small business loans 232,596 479,646 182,893 168,445 1,063,580 Total gross loans and financial leases 31,418,834 27,737,620 29,715,679 71,595,961 160,468,094 December 31, 2016 Maturity Less Than 1 Year Between 1 and 3 Years Between 3 and 5 Years Greater Than 5 Years Total In millions of COP Commercial 18,011,992 22,458,578 13,494,101 32,295,037 86,259,708 Corporate 9,679,076 14,032,332 8,385,002 23,765,943 55,862,353 SME 4,549,984 5,711,371 3,145,824 3,114,629 16,521,808 Others 3,782,932 2,714,875 1,963,275 5,414,465 13,875,547 Consumer 692,986 4,873,973 9,713,953 8,644,367 23,925,279 Credit card 189,648 1,465,599 2,363,351 3,766,060 7,784,658 Vehicle 68,174 644,217 1,516,701 829,561 3,058,653 Payroll loans 46,849 589,925 1,314,077 3,129,809 5,080,660 Others 388,315 2,174,232 4,519,824 918,937 8,001,308 Mortgage 37,068 130,429 309,167 18,679,188 19,155,852 VIS 11,151 45,615 81,807 4,878,947 5,017,520 Non-VIS 25,917 84,814 227,360 13,800,241 14,138,332 Financial Leases 3,389,108 2,719,026 3,168,629 12,067,160 21,343,923 Small business loans 128,025 604,831 161,559 168,309 1,062,724 Total gross loans and financial leases 22,259,179 30,786,837 26,847,409 71,854,061 151,747,486 · Concentration by past due days December 31, 2017 Past-due Period 0 - 30 Days 31 - 90 Days 91 - 120 Days 121 - 360 Days More Than 360 Days Total In millions of COP Commercial 85,747,936 570,412 130,613 1,573,899 974,381 88,997,241 Consumer 25,942,380 764,098 236,509 584,789 118,338 27,646,114 Mortgage 18,751,121 752,336 140,188 396,227 472,336 20,512,208 Financial Leases 21,480,161 215,685 61,700 238,030 253,375 22,248,951 Small Business Loan 916,298 39,178 12,753 70,977 24,374 1,063,580 Total 152,837,896 2,341,709 581,763 2,863,922 1,842,804 160,468,094 December 31, 2016 Past-due Period 0 - 30 Days 31 - 90 Days 91 - 120 Days 121 - 360 Days More Than 360 Days Total In millions of COP Commercial 84,353,343 361,110 116,876 857,622 570,757 86,259,708 Consumer 22,624,937 609,278 168,018 443,530 79,516 23,925,279 Mortgage 17,746,163 639,346 132,330 284,214 353,799 19,155,852 Financial Leases 20,695,617 149,214 25,238 160,557 313,297 21,343,923 Small Business Loan 943,393 42,941 11,639 46,382 18,369 1,062,724 Total 146,363,453 1,801,889 454,101 1,792,305 1,335,738 151,747,486 · Concentration of loans by economic sector December 31, 2017 Economic sector Loans and advances Local Foreign Total In millions of COP Agriculture 3,533,671 2,171,525 5,705,196 Petroleum and Mining Products 909,127 65,991 975,118 Food, Beverages and Tobacco 5,640,910 808,493 6,449,403 Chemical Production 3,341,248 172,763 3,514,011 Government 3,780,686 151,879 3,932,565 Construction 15,464,605 5,164,321 20,628,926 Commerce and Tourism 17,115,018 6,520,546 23,635,564 Transport and Communications 8,307,712 602,962 8,910,674 Public Services 5,180,634 2,472,215 7,652,849 Consumer Services 31,367,376 16,719,168 48,086,544 Commercial Services 16,248,665 3,993,836 20,242,501 Other Industries and Manufactured Products 6,367,961 4,366,782 10,734,743 Total 117,257,613 43,210,481 160,468,094 December 31, 2016 Economic sector Loans and advances Local Foreign Total In millions of COP Agriculture 3,360,479 2,210,219 5,570,698 Petroleum and Mining Products 1,670,126 96,463 1,766,589 Food, Beverages and Tobacco 4,992,305 556,798 5,549,103 Chemical Production 3,184,196 218,010 3,402,206 Government 3,426,089 204,429 3,630,518 Construction 14,122,163 4,496,434 18,618,597 Commerce and Tourism 15,953,310 6,056,928 22,010,238 Transport and Communications 7,484,105 740,379 8,224,484 Public Services 5,013,469 4,626,201 9,639,670 Consumer Services 28,673,632 13,116,938 41,790,570 Commercial Services 15,186,857 5,753,166 20,940,023 Other Industries and Manufactured Products 6,141,378 4,463,412 10,604,790 Total 109,208,109 42,539,377 151,747,486 · Credit concentration by country December 31, 2017 Country Loans and advances % Participation Allowance for loans and advances and lease losses % Participation Colombia 112,862,226 70.30% 7,164,085 87.10% Panama 28,722,853 17.90% 507,181 6.20% El Salvador 9,120,415 5.70% 358,258 4.40% Puerto Rico 847,767 0.50% 14,941 0.20% Guatemala 8,902,627 5.50% 177,895 2.10% Other countries 12,206 0.10% 743 0.00% Total 160,468,094 100.00% 8,223,103 100.00% December 31, 2016 Country Loans and advances % Participation Allowance for loans and advances and lease losses % Participation Colombia 102,011,845 67.22% 5,369,122 81.08% Panama 31,216,172 20.57% 783,883 11.84% El Salvador 8,879,815 5.85% 345,364 5.22% Puerto Rico 1,220,689 0.80% 10,218 0.15% Peru 140,114 0.09% 9,958 0.15% Guatemala 8,265,518 5.45% 102,772 1.55% Other countries 13,333 0.02% 594 0.01% Total 151,747,486 100.00% 6,621,911 100.00% · Credit concentration by economic group As of December 31, 2017 and 2016, concentration of the 20 largest economic groups amounted to COP 19.2 billion and COP 17.3 billion, respectively. This exposure corresponds to all credit active operations of these groups. d. Credit quality Loans and Advances December 31 2017 Risk Category Current loans without impairment Past due loan without impairment Current loans that are impaired Past due and impaired loans Total In millions of COP A- Normal Risk 139,543,463 224,259 783,333 7,108 140,558,163 B- Acceptable Risk 5,986,958 1,265,787 1,848,716 88,508 9,189,969 C- Appreciable Risk 9,770 715 2,932,948 901,271 3,844,704 D- Significant Risk - - 1,167,928 3,289,030 4,456,958 E- Unrecoverable Risk 52 - 564,728 1,853,520 2,418,300 Total 145,540,243 1,490,761 7,297,653 6,139,437 160,468,094 December 31, 2016 Risk Category Current loans without impairment Past due loan without impairment Current loans that are impaired Past due and impaired loans Total In millions of COP A- Normal Risk 134,686,374 183,232 1,590,500 11,110 136,471,216 B- Acceptable Risk 4,810,882 861,347 1,574,761 72,370 7,319,360 C- Appreciable Risk - - 2,603,480 979,191 3,582,671 D- Significant Risk 1,247 - 696,641 1,801,383 2,499,271 E- Unrecoverable Risk - - 532,715 1,342,253 1,874,968 Total 139,498,503 1,044,579 6,998,097 4 |