Performance & Stability
        
        How Can a Predictive Scorecard Be Calibrated for Different Asset Classes?
        
         
        
        
          
        
        
      
        
     
        
        A predictive scorecard is calibrated by applying a secondary model, like Isotonic Regression, to align its outputs with the observed event frequencies of a specific asset class.
        
        What Are the Primary Challenges in Calibrating an Adverse Selection Model?
        
         
        
        
          
        
        
      
        
     
        
        Calibrating an adverse selection model transforms a raw risk score into a reliable system for pricing information asymmetry.

 
  
  
  
  
 