OHIO VALLEY BANC CORP
For the period ended Dec 31, 2023. Filed Mar 15, 2024.
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FY2023 · Filed Mar 15, 2024
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EX-13 · 41 report of independent registered public accounting firm publi
report of independent registered
public accounting firm
publi
The Company measures the ACL on a collective (pool) basis when similar risk characteristics exist using a Cumulative Undiscounted Expected Loss model. Historical credit loss experience is the basis for the estimation of expected credit losses. The Company applies historical loss rates to pools of loans with similar risk characteristics. In defining historical loss rates, prepayment rates and curtailment rates used to determine the expected life of loans, the use of regional and national peer data was used. After consideration of the historic loss calculation, management applied qualitative adjustments to reflect the current conditions and reasonable and supportable forecasts not already reflected in the historical loss information at the balance sheet date. The Company’s reasonable and supportable forecast adjustment is based on the national unemployment rate and the national gross domestic product forecast for the first year. For periods beyond the reasonable and supportable forecast, the Company deploys reversion to historical loss rates utilizing a straight-line method over a two-year period.
Auditing the initial adoption of the Cumulative Undiscounted Expected Loss model was identified by us as a critical audit matter because of the significant auditor judgment and effort needed to evaluate the complex judgments made by management related to the appropriateness of the model, including the reasonable and supportable forecast adjustments, with the need to use our valuation specialists.
The primary procedures performed to address the critical audit matter included:
| • | With the assistance of our valuation specialists, evaluating the appropriateness and conceptual design of the Cumulative Undiscounted Expected Loss model including the evaluation of the reasonable and supportable forecast adjustments and the mathematical accuracy of the model. |
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| • | Evaluating of the relevance and reliability of data used in the model development and the determination of reasonable and supportable forecast adjustments |
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