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Table 9 Uncertainty and the size of the absolute term premium by sub-periods

From: A survey-based estimation of the Swiss franc forward term premium

 

(1)

(2)

(3)

(4)

(5)

(6)

 

|r3M|

|r12M|

|r3M|

|r12M|

|r3M|

|r12M|

(a) From March 1991 through December 1999

      

Constant

− 0.13

0.09

0.33

0.63

0.45

0.66

 

(0.11)

(0.15)

(0.2)

(0.18)

(0.12)

(0.08)

VIX

    

− 0.01

− 0.01

     

(0.01)

(0.00)

d i s p e r s i o n 12 M

   

-0.74

  
    

(0.66)

  

d i s p e r s i o n 3 M

  

-0.02

   
   

(0.99)

   

g a r c h 12 M

 

0.16

    
  

(0.06)

    

g a r c h 3 M

0.27

     
 

(0.08)

     

Adjusted R2

0.24

0.12

− 0.06

− 0.03

0.02

0.03

Observations

106

106

19

19

106

106

(b) From January 2000 through August 2016

      

Constant

0.02

0.03

0.06

0.11

0.08

0.19

 

(0.03)

(0.04)

(0.02)

(0.03)

(0.02)

(0.05)

VIX

    

0.00

0.00

     

(0.00)

(0.00)

d i s p e r s i o n 12 M

   

0.43

  
    

(0.11)

  

d i s p e r s i o n 3 M

  

0.37

   
   

(0.16)

   

g a r c h 12 M

 

0.18

    
  

(0.04)

    

g a r c h 3 M

0.11

     
 

(0.04)

     

Adjusted R2

0.19

0.14

0.07

0.09

0.01

0.01

Observations

200

200

200

200

200

200

  1. The table shows the regression results for uncertainty measures and the size of the absolute term premium for the two sub-periods. The uncertainty measure for futures is based on the GARCH model by Ding et al. (1993). The standard deviation of survey estimates is the standard deviation of all survey estimates for a specific survey date. The dataset contains monthly observations. Note that the standard deviation of survey estimates is not available for the entire sample period but only from June 1998 onwards, which reduces the number of observations in our regression analysis. Heteroscedasticity- and autocorrelation-consistent standard errors (in parentheses) are applied, using the Newey and West (1987) correction. The number of lags used equals the length of the contract (number of months). ***, **, and * denote statistical significance (two-tailed) at the 1%, 5%, and 10% significance levels, respectively