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An event study is a statistical method to assess the impact of an event (also referred to as a "treatment"). [1] Early prominent uses of event studies occurred in the field of finance. [1] For example, the announcement of a merger between two business entities can be analyzed to see whether investors believe the merger will create or destroy value.
Post hoc (sometimes written as post-hoc) is a Latin phrase, meaning "after this" or "after the event". Post hoc may refer to: Post hoc analysis or post hoc test, statistical analyses that were not specified before the data were seen; Post hoc theorizing, generating hypotheses based on data already observed
The conditioning event is interpreted as evidence for the conditioned event. That is, P(A) is the probability of A before accounting for evidence E, and P(A|E) is the probability of A after having accounted for evidence E or after having updated P(A). This is consistent with the frequentist interpretation, which is the first definition given above.
After the arrival of new information, the current posterior probability may serve as the prior in another round of Bayesian updating. [ 3 ] In the context of Bayesian statistics , the posterior probability distribution usually describes the epistemic uncertainty about statistical parameters conditional on a collection of observed data.
The post-money valuation formula does not take into account the special features of preferred stock. It assumes that preferred stock has the same value as common stock, which is usually not true as preferred stock often has liquidation preference , participation , and other features that make it worth more than common stock.
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The term ex-ante (sometimes written ex ante or exante) is a New Latin phrase meaning "before the event". [1] In economics, ex-ante or notional demand refers to the desire for goods and services that is not backed by the ability to pay for those goods and services. This is also termed as 'wants of people'.
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