Company: NREF
Filing Date: 2025-03-27
Form Type: 10-K
Source: 0001786248-25-000004
Chunk: 192

Company: NexPoint Real Estate Finance, Inc.
Filing Date: 2025-03-27
Form: 10-K
Item: Item 4
Chunk 192
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 FASB issued ASU 2016-13, Financial Instruments – Credit Losses on Financial Instruments (“ASU 2016-13”), which establishes credit losses on certain types of financial instruments. The new approach changes the impairment model for most financial assets and requires the use of a current expected credit loss ("CECL") model for financial instruments measured at amortized cost and certain other instruments. This model applies to trade and other receivables, loans, debt securities, net investments in leases and off-balance sheet credit exposures (such as loan commitments, standby letters of credit and financial guarantees not accounted for as insurance) and requires entities to estimate the lifetime expected credit loss on such instruments and record an allowance that represents the portion of the amortized cost basis that the entity does not expect to collect.

F-15

Table of Contents

We adopted ASU 2016-13 as of January 1, 2023. The implementation process included the utilization of loan loss forecasting models, updates to our loan credit loss policy documentation, changes to internal reporting processes and related internal controls, and overall operational readiness for our adoption of the new standard. We have implemented loan loss forecasting models for estimating expected life-time credit losses, at the individual loan level, for our loan portfolio. These models are also utilized for estimating expected life-time credit losses for unfunded loan commitments for which the Company has a present contractual obligation to extend the credit and the obligation is not unconditionally cancellable. The CECL forecasting methods used by the Company include (i) a probability of default and loss given default method using underlying third-party CMBS/Commercial Real Estate loan database with historical loan losses from 1998 to 2024, and (ii) probability weighted expected cash flow method, depending on the type of loan and the availability of relevant historical market loan loss data. We might use other acceptable alternative approaches in the future depending on, among other factors, the type of loan, underlying collateral, and availability of relevant historical market loan loss data. Significant inputs to our forecasting methods include (i) key loan-specific inputs such as loan-to-value, vintage year, loan-term, underlying property type, occupancy, geographic location, performance against the underwritten business plan, and our internal loan risk rating, and (ii) a macro-economic environment forecast. The reasonable and supportable forecast period is determined based on the Company’s assessment of the most likely scenario of assumptions and plausible outcomes for the U.S. economy, current portfolio composition, level of historical loss forecast estimates, material