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Remote access using bank services via postal and telephonic services like arranging payment facilities and obtaining account information). In this model, banks cannot become vertically differentiated without negatively affecting horizontal differentiation between them. [15] Horizontal differentiation occurs with the location of bank's branch.
In bookkeeping, a bank reconciliation or Bank Reconciliation Statement (BRS) is the process by which the bank account balance in an entity’s books of account is reconciled to the balance reported by the financial institution in the most recent bank statement. Any difference between the two figures needs to be examined and, if appropriate ...
Hotelling's law is an observation in economics that in many markets it is rational for producers to make their products as similar as possible. This is also referred to as the principle of minimum differentiation as well as Hotelling's linear city model.
Bank reconciliation statements can help identify accounting errors, discrepancies and fraud. For instance, if the company’s records indicate a payment was collected and deposited, ...
In accounting, reconciliation is the process of ensuring that two sets of records (usually the balances of two accounts) are in agreement. It is a general practice for businesses to create their balance sheet at the end of the financial year as it denotes the state of finances for that period.
When proportionate changes in the same figure over a given time period expressed as a percentage is known as horizontal analysis. [ 2 ] Vertical or common-size analysis reduces all items on a statement to a "common size" as a percentage of some base value which assists in comparability with other companies of different sizes. [ 3 ]
Horizontal analysis compares financial information over time, typically from past quarters or years. Horizontal analysis is performed by comparing financial data from a past statement, such as the income statement. When comparing this past information one will want to look for variations such as higher or lower earnings. [5]
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
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