Company: BOKF
Filing Date: 2025-04-30
Form Type: 10-Q
Source: 0000875357-25-000027
Chunk: 44

Company: BOK FINANCIAL CORP
Filing Date: 2025-04-30
Form: 10-Q
Item: Part I, Item 2
Chunk 44
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1 Average represents the simple average of each daily value observed during the reporting period.

2 Low represents least risk of loss in fair value measured as the smallest negative value or the largest positive value observed daily during the reporting period.

3 High represents the greatest risk of loss in fair value measured as the largest negative value or the smallest positive value observed daily during the reporting period.

BOK Financial enters into trading activities both as an intermediary for customers and for its own account. As an intermediary, we take positions in securities, generally residential mortgage-backed securities, government agency securities, and municipal bonds. These securities are purchased for resale to customers, which include individuals, corporations, foundations, and financial institutions. On a limited basis, we may also take trading positions in U. S. Treasury securities, residential mortgage-backed securities, and municipal bonds to enhance returns on securities portfolios. Both of these activities involve interest rate risk, liquidity risk, and price risk. BOK Financial has an insignificant exposure to foreign exchange risk and does not take positions in commodity derivatives.

A variety of methods are used to monitor and manage the market risk of trading activities. These methods include daily marking of all positions to market value, independent verification of inventory pricing, and position limits for each trading activity. Risk management tools include VaR, stress testing, and sensitivity analysis. Economic hedges in either the futures or cash markets may be used to reduce the risk associated with some trading programs. Basis risk can result when trading asset values and the instruments used to hedge them move at different rates.

VaR measures the potential loss of a given position or portfolio of positions at a specified confidence level and time horizon. BOK Financial utilizes a historical VaR methodology to measure and aggregate risks across its covered trading positions. For Market Risk Rule purposes, the Company calculates VaR using a historical simulation approach and measures the potential trading losses using a 10-day holding period and a 99% confidence level.

Due to inherent limitations of the VaR methodology, including its reliance on past market behavior, which might not be indicative of future market performance, VaR is only one of several tools used to measure and manage market risk. Other tools used to actively manage market risk include stress testing (SVaR) and sensitivity analysis.

SVaR is calculated using the same internal models as used for the VaR-based measure. SVaR is calculated over a ten-day holding period at a one-tail, 99% confidence level, and employs a historical simulation approach based on a continuous twelve-month historical window selected