Synthetic Control Method
The synthetic control method is a powerful tool for evaluating the impact of a specific intervention by constructing a weighted combination of control units that mimics the characteristics of the treated unit. In finance, it is used to assess the effect of a major policy shift or a protocol change by comparing the actual outcome to a synthetic version that did not experience the event.
For example, if one exchange implements a new liquidation engine, researchers can create a synthetic version of that exchange using data from other exchanges that did not change their engine. This allows for a precise, data-driven comparison of the intervention's impact.
The method is highly effective in cases where there is only one treated unit and no perfect individual control. It provides a rigorous framework for policy evaluation in the absence of randomized trials.
By building a credible counterfactual, it enables analysts to quantify the real-world effects of strategic decisions.