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The Velocity of Risk – What Bankers Need To Know

South State Correspondent

Banks that are looking to enhance their risk management practices should consider incorporating the concept of the velocity of risk into their enterprise-wide risk management practices. Some risks occur slowly; others strike quickly and hard. Optimizing Risk. Consider the risk above.

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The Current Banking Crisis – 10 Not So Apparent Lessons

South State Correspondent

While we wrote about the root cause of the failure of Silicon Valley Bank (SVB) HERE , the lessons of the current banking crisis go beyond interest rate risk management. While interest rate risk caused the most significant impact on value, several other factors contributed to the terminality of each bank that was closed.

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10 Lessons We Learned at the Nacha Smarter Faster Payment Conference

South State Correspondent

The major themes of fraud, artificial intelligence (AI), expansion of instant payments, open banking, and regulation were particularly relevant to your roles as executives, risk managers, compliance officers, and technology leaders. Unfortunately, most banks don’t gather fraud data across payment channels or track “pre-crime events.”

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Predicting the Next Banking Crisis Is a Fool’s Game. Not Learning From the Last One: Equally Foolish

Jeff For Banks

In the late 90s, low interest rates made speculative equity investments more attractive than bonds, and at the same time, innovative internet companies grew in popularity among retail investors, professional traders, venture capitalists, and the like (familiar?). credit default swaps anyone?). We were concerned about the panic.

FDIC 78
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Fintech Trending: RegTech Reality Check, Blockchain Bandwagon, and IBM’s New Wallet

Fintech Labs Insights

Consider companies like Gremln ( F14 ), which demonstrated a social media platform specifically for regulated industries, and Finect ( F13 ), which unveiled a compliant communication platform for financial professionals. OutsideIQ ( F16 ) enables FIs to uncover regulatory risk using a combination of machine learning and human analysis.