An inverse framework uses quantile-normalized orderbook data and machine learning models to predict allocative efficiency in double auctions from bids, asks, and prices without knowing induced values.
The use of bundling in b2b online reverse auctions.Journal of Operations Management, 26(1):81–95, 2008
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An `Inverse' Experimental Framework to Estimate Market Efficiency
An inverse framework uses quantile-normalized orderbook data and machine learning models to predict allocative efficiency in double auctions from bids, asks, and prices without knowing induced values.