We propose a systematic algorithmic reverse-stress testing methodology to create ``worst case" scenarios for regulatory stress tests by accounting for losses that arise from distressed portfolio liquidations. First, we derive the optimal bank response for any given shock. Then, we introduce an...

Despite substantial regulatory reforms, MMFs exposed to private assets experienced severe stress in March 2020. In the EU, Low Volatility Net Asset Value (LVNAVs) MMFs faced acute challenges to meet regulatory requirements while facing high redemptions. Such funds have to maintain their...

We show that the Hedge algorithm, a method that is widely used in Machine Learning, can be interpreted as a particular instance of Dual Averaging schemes, which have recently been introduced by Nesterov for regret minimization. Based on this interpretation, we establish three alternative methods...

We show that the Hedge algorithm, a method that is widely used in Machine Learning, can be interpreted as a particular instance of Dual Averaging schemes, which have recently been introduced by Nesterov for regret minimization. Based on this interpretation, we establish three alternative methods...