US2013185227A1PendingUtilityA1

Method and system for evaluating pricing of assets

Assignee: PROTEGE PARTNERS LLCPriority: Nov 16, 2006Filed: Dec 18, 2012Published: Jul 18, 2013
Est. expiryNov 16, 2026(~0.3 yrs left)· nominal 20-yr term from priority
Inventors:Adil Abdulali
G06Q 40/06
42
PatentIndex Score
0
Cited by
0
References
0
Claims

Abstract

Methods are provided for detecting price manipulation in assets by receiving data indicating returns on an asset, generating a histogram of returns data, determining a first area under a curve of the histogram in a first interval, determining a second area under the curve of the histogram in a second interval; and calculating a bias ratio which comprises a ratio based on the first area and the second area.

Claims

exact text as granted — not AI-modified
1 .- 22 . (canceled) 
     
     
         23 . A system comprising:
 memory operable to store at least one program; and   at least one processor communicatively coupled to the memory, in which the at least one program, when executed by the at least one processor, causes the at least one processor to:   receive data indicating at least two returns of an investment portfolio comprising one or more assets, said returns being calculated on a periodic basis and indicating a gain or loss for the investment portfolio for each period;   generate a histogram of the returns data by plotting the returns data on one axis of the histogram against a standard deviation of the returns data on a second axis of the histogram;   determine a first area under a curve of the histogram in a first interval comprising a product of a positive standard deviation of the returns;   determine a second area under the curve of the histogram in a second interval comprising a product of a negative standard deviation of the returns;   calculate a bias ratio wherein a numerator of the bias ratio comprises the first area and a denominator of the bias ratio comprises the second area; and   analyze the calculated bias ratio to determine reliability of the returns data wherein the bias ratio is calculated using the formula:   
       
         
           
             
               
                 
                   B 
                    
                   
                       
                   
                    
                   R 
                 
                 = 
                 
                   BiasRatio 
                   = 
                   
                     
                       
                         Count 
                          
                         
                           ( 
                           
                             r 
                             i 
                           
                           ) 
                         
                       
                       : 
                       
                         
                           r 
                           i 
                         
                          
                         
                           ɛ 
                            
                           
                             [ 
                             
                               0 
                               , 
                               
                                 
                                   + 
                                   X 
                                 
                                  
                                 
                                     
                                 
                                  
                                 σ 
                               
                             
                             ] 
                           
                         
                       
                     
                     
                       
                         K 
                         + 
                         
                           Count 
                            
                           
                             ( 
                             
                               r 
                               i 
                             
                             ) 
                           
                         
                       
                       : 
                       
                         
                           r 
                           i 
                         
                          
                         
                           ɛ 
                           [ 
                           
                             
                               
                                 - 
                                 X 
                               
                                
                               
                                   
                               
                                
                               σ 
                             
                             , 
                             0 
                           
                           ) 
                         
                       
                     
                   
                 
               
               , 
             
           
         
       
       where r i  is a return, σ represents standard deviation, X is a positive, non-zero value, K is a positive, non-zero constant, and ε indicates that r i  is within the closed interval [0,+Xσ] in the case of the numerator and within the half open interval [−Xσ,0) in the case of the denominator. 
     
     
         24 . A system comprising:
 memory operable to store at least one program; and   at least one processor communicatively coupled to the memory, in which the at least one program, when executed by the at least one processor, causes the at least one processor to:
 receive data indicating at least two returns of an investment portfolio comprising one or more assets, said returns being calculated on a periodic basis and indicating a gain or loss for the investment portfolio for each period; 
 generate a histogram of the returns data by plotting the returns data on one axis of the histogram against a standard deviation of the returns data on a second axis of the histogram; 
 determine a first count of a number of data in a first interval comprising a product of a positive standard deviation of the returns; 
 determine a second count of a number of data in a second interval comprising a product of a negative standard deviation of the returns; and 
 calculate a bias ratio wherein a numerator of the bias ratio comprises the first count and a denominator of the bias ratio comprises the second count; and 
 analyze the calculated bias ratio to determine reliability of the returns data wherein the bias ratio is calculated using the formula: 
   
       
         
           
             
               
                 
                   B 
                    
                   
                       
                   
                    
                   R 
                 
                 = 
                 
                   BiasRatio 
                   = 
                   
                     
                       
                         Count 
                          
                         
                           ( 
                           
                             r 
                             i 
                           
                           ) 
                         
                       
                       : 
                       
                         
                           r 
                           i 
                         
                          
                         
                           ɛ 
                            
                           
                             [ 
                             
                               0 
                               , 
                               
                                 
                                   + 
                                   X 
                                 
                                  
                                 
                                     
                                 
                                  
                                 σ 
                               
                             
                             ] 
                           
                         
                       
                     
                     
                       
                         K 
                         + 
                         
                           Count 
                            
                           
                             ( 
                             
                               r 
                               i 
                             
                             ) 
                           
                         
                       
                       : 
                       
                         
                           r 
                           i 
                         
                          
                         
                           ɛ 
                           [ 
                           
                             
                               
                                 - 
                                 X 
                               
                                
                               
                                   
                               
                                
                               σ 
                             
                             , 
                             0 
                           
                           ) 
                         
                       
                     
                   
                 
               
               , 
             
           
         
       
       where r i  is a return, σ represents standard deviation, X is a positive, non-zero value, K is a positive, non-zero constant, and ε indicates that r i  is within the closed interval [0,+Xσ] in the case of the numerator and within the half open interval [−Xσ,0) in the case of the denominator. 
     
     
         25 . The system of  claim 23  wherein one or more of the one or more assets in the investment portfolio are valued with reference to subjective criteria. 
     
     
         26 . The system of  claim 24  wherein one or more of the one or more assets in the investment portfolio are valued with reference to subjective criteria. 
     
     
         27 . A system comprising:
 memory operable to store at least one program; and   at least one processor communicatively coupled to the memory, in which the at least one program, when executed by the at least one processor, causes the at least one processor to:   receive data indicating at least two returns of an investment portfolio comprising one or more assets, said returns being calculated on a periodic basis and indicating a gain or loss for the investment portfolio for each period;   generate a histogram of the returns data by plotting the returns data on one axis of the histogram against a standard deviation of the returns data on a second axis of the histogram;   determine a first area under a curve of the histogram in a first interval comprising a product of a positive standard deviation of the returns;   determine a second area under the curve of the histogram in a second interval comprising a product of a negative standard deviation of the returns;   calculate a bias ratio wherein a numerator of the bias ratio comprises the first area and a denominator of the bias ratio comprises the second area; and   analyze the calculated bias ratio to determine reliability of the returns data wherein the bias ratio is calculated using the formula:   
       
         
           
             
               
                 
                   B 
                    
                   
                       
                   
                    
                   R 
                 
                 = 
                 
                   
                     
                       ∫ 
                       0 
                       
                         X 
                          
                         
                             
                         
                          
                         σ 
                       
                     
                      
                     
                       r 
                        
                       
                           
                       
                        
                       
                          
                         r 
                       
                     
                   
                   
                     K 
                     + 
                     
                       
                         ∫ 
                         
                           
                             - 
                             X 
                           
                            
                           
                               
                           
                            
                           σ 
                         
                         0 
                       
                        
                       
                         r 
                          
                         
                             
                         
                          
                         
                            
                           r 
                         
                       
                     
                   
                 
               
               , 
             
           
         
       
       where r is a function representing a distribution of returns (dr), σ represents standard deviation, X is a positive, non-zero value, and K is a positive, non-zero constant. 
     
     
         28 . A system comprising:
 memory operable to store at least one program; and   at least one processor communicatively coupled to the memory, in which the at least one program, when executed by the at least one processor, causes the at least one processor to:
 receive data indicating at least two returns of an investment portfolio comprising one or more assets, said returns being calculated on a periodic basis and indicating a gain or loss for the investment portfolio for each period; 
 generate a histogram of the returns data by plotting the returns data on one axis of the histogram against a standard deviation of the returns data on a second axis of the histogram; 
 determine a first count of a number of data in a first interval comprising a product of a positive standard deviation of the returns; 
 determine a second count of a number of data in a second interval comprising a product of a negative standard deviation of the returns; and 
 calculate a bias ratio wherein a numerator of the bias ratio comprises the first count and a denominator of the bias ratio comprises the second count; and 
 analyze the calculated bias ratio to determine reliability of the returns data wherein the bias ratio is calculated using the formula: 
   
       
         
           
             
               
                 
                   B 
                    
                   
                       
                   
                    
                   R 
                 
                 = 
                 
                   
                     
                       ∫ 
                       0 
                       
                         X 
                          
                         
                             
                         
                          
                         σ 
                       
                     
                      
                     
                       r 
                        
                       
                           
                       
                        
                       
                          
                         r 
                       
                     
                   
                   
                     K 
                     + 
                     
                       
                         ∫ 
                         
                           
                             - 
                             X 
                           
                            
                           
                               
                           
                            
                           σ 
                         
                         0 
                       
                        
                       
                         r 
                          
                         
                             
                         
                          
                         
                            
                           r 
                         
                       
                     
                   
                 
               
               , 
             
           
         
       
       where r is a function representing a distribution of returns (dr), σ represents standard deviation, X is a positive, non-zero value, and K is a positive, non-zero constant. 
     
     
         29 . The system of  claim 27  wherein one or more of the one or more assets in the investment portfolio are valued with reference to subjective criteria. 
     
     
         30 . The system of  claim 28  wherein one or more of the one or more assets in the investment portfolio are valued with reference to subjective criteria.

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