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Closing the CREDIT TAPS after economic or market conditions become unfavorable...? When credit managers delay tightening lending conditions, the consequences can be severe for both lenders and the broader economy. Here’s a breakdown: 1. Increased Credit Losses   When credit managers fail to tighten credit early, they often continue lending to borrowers who are increasingly at risk of default due to worsening economic conditions (e.g., rising unemployment, inflation, or falling asset values).   If borrowers cannot repay, lenders face increased non-performing loans (NPLs) and write-offs. This can significantly erode profitability and capital reserves. 2. Overexposure to Risky Borrowers   By continuing to issue credit during a period of declining economic resilience, lenders end up with an eroded portfolio containing higher proportions of risky loans. 3. Damage to Market Liquidity   When credit managers suddenly "close the taps," businesses and consumers lose access to necessary liquidity for operations and spending. This abrupt credit contraction exacerbates economic downturns, increased bankruptcies, foreclosures, and unemployment.   Businesses that rely on short-term credit to manage cash flow might fail to pay employees or suppliers, leading to a string of ripple effects.    4. Loss of Borrower Confidence   A sharp pivot from easy credit to restrictive lending creates uncertainty among borrowers hindering normal spending patterns.  Lenders that tighten too late may be seen as reactive and unreliable, losing trust from businesses and consumers. 5. Fewer Options for Mitigation   When credit managers act late, they miss the chance to introduce measures like restructuring loans, tightening standards, or adjusting terms for at-risk borrowers. Early action can mitigate losses and reduce the need for drastic measures later. Solution: Leveraging Predictive Analytics equipped with Advanced AI/ML platforms can help identify risks early, allowing for timely data-driven personalized credit management that aligns with both financial and customer-oriented goals. Being better prepared can prevent higher losses and a weakened economy resulting in shorter recovery period. This can protect the lending institutions as well as the broader economic ecosystem. #CreditRisk #LendingSolutions #CreditManagement #FutureofLending #CreditDecisioning #DigitalLending #AIinFinance #DataDrivenDecisions Suman Kumar Singh Srivalsan Ponnachath Bryan McLachlan Vipin Johnson Tarika Bhutani Martin L. Litabe Devina Kumar Aishwarya Hegde

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Saswat Behera

Team Lead QA, SM, Lead DevOps, SRE, at Carelon, Ocwen Financial Corporation - US, Altisource, 3DPLM..

1mo

Good article on the potential problem areas on the Credit risks.. The recession occurred in the year 2008 also can be studied for another scenario related to lending..

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