College
College of Engineering and Polymer Science
Date of Last Revision
2024-06-04 07:51:14
Major
Applied Mathematics
Honors Course
MATH 498:003
Number of Credits
3
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2024
Abstract
This paper utilizes a Fast Fourier Transform (FFT) algorithm to construct a trigonometric interpolant for the Consumer Price Index (CPI), which is then differentiated and used to obtain a continuous function for “instantaneous” (i.e., month-wise) inflation, as opposed to a 12-month percent-change. Fourier coefficients are analyzed to investigate underlying periodicities in the newly constructed function. This metric does not hold significant predictive value but it may prove helpful in retroactive analysis of inflation trends.
Research Sponsor
Dr. Joseph Wilder
First Reader
Dr. James Cossey
Second Reader
Dr. Dane Quinn
Honors Faculty Advisor
Dr. Curtis Clemons
Proprietary and/or Confidential Information
No
Recommended Citation
Smith, Blake, "Modeling Inflation Using a Fast Fourier Transform (FFT)" (2024). Williams Honors College, Honors Research Projects. 1895.
https://ideaexchange.uakron.edu/honors_research_projects/1895
Included in
Harmonic Analysis and Representation Commons, Numerical Analysis and Computation Commons