 This paper empirically explores the chronological Hurst exponent (CHE) , an approach that calculates the Hurst exponent over an increasing duration of time windows to quantify long-memory dynamics , in the monthly numbers of United States patent and trademark applications from 1977 to 2016.
<meaning-changed>  This paper empirically explores the chronological Hurst exponent (CHE) , an approach that calculates the Hurst exponent over an increasing duration of time windows to quantify long-memory dynamics , in the monthly numbers of United States patent and trademark applications from 1977 to 2016.
 This paper empirically explores the chronological Hurst exponent (CHE) to explore the LRD using overlapping time windows to quantify long-memory dynamics , in the monthly numbers of United States patent and trademark applications from 1977 to 2016.