ORCID ID
0000-0002-3934-0833
Date of Award
5-2022
Degree Type
Dissertation-Restricted
Degree Name
Ph.D.
Degree Program
Financial Economics
Department
Economics and Finance
Major Professor
Neal Maroney
Second Advisor
Arja Turunen-Red
Third Advisor
Kabir Hassan
Fourth Advisor
Luca Pezzo
Abstract
This paper examines the lognormality assumption of per capita, real consumption growth, which is a common assumption in asset pricing models. We found that shocks to household consumption growth are persistent, negatively skewed, and have excess kurtosis. Therefore, we revisited the fundamental relation between expected growth and the real risk-free rate, assuming a non-Gaussian distribution of consumption growth, and found a robust positive association between real consumption growth and real risk-free interest rate, and a negative relationship between macroeconomic uncertainty and real rates, although less in magnitude, which is consistent with both intertemporal smoothing and precautionary savings. This paper offers an answer to the puzzle of why real rates and macroeconomy appear to be empirically unrelated. Adding higher moments lowers the level of persistence of consumption growth and adds more dimensions of risk that are not captured by conditional variance. Specifically, conditional skewness amplifies the effect of intertemporal smoothing while excess kurtosis amplifies the effect of precautionary savings. The results imply that using variance as a description of uncertainty is incomplete.
Recommended Citation
Al Talafha, Sarah H., "The effect of conditional volatility, skewness, and excess kurtosis on interest rates" (2022). University of New Orleans Theses and Dissertations. 2975.
https://scholarworks.uno.edu/td/2975
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.