A regression and comparative study of United States and South African yield curves using principal component analysis

South African Journal of Economic and Management Sciences

 
 
Field Value
 
Title A regression and comparative study of United States and South African yield curves using principal component analysis
 
Creator Patel, Kavir Mohamed, Ashfaaq van Vuuren, Gary W.
 
Subject — principal component analysis; eigenvectors; yield curves
Description Volatile markets and economic environments can significantly distort the shape and smoothness of yield curve movements. This study explores the influence of movements in United States interest rates on South African interest rates. This study aims to identify the main underlying movements present in the United States and South African yield curves and to further determine the dominant factors that are responsible for driving South African interest rate movements. The principal settings for the study were the United States and South African markets representing, respectively, a developed and developing market. Principal component analysis was used to discern the major drivers of developing and developed market interest rates. The findings show that the principal component analysis technique is able to effectively classify and quantify the movements of yield curves across both markets in terms of three main factors, namely level, slope and curvature shifts. During certain periods, South African yield curve changes were largely driven by variations in United States interest rates and the rand/dollar exchange rate. Results also demonstrated that a volatile market and economic environment can significantly distort the shape and smoothness of yield curve movements.
 
Publisher AOSIS Publishing
 
Contributor
Date 2018-03-26
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip application/xml application/pdf
Identifier 10.4102/sajems.v21i1.1626
 
Source South African Journal of Economic and Management Sciences; Vol 21, No 1 (2018); 15 pages 2222-3436 1015-8812
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajems.org/index.php/sajems/article/view/1626/1083 https://sajems.org/index.php/sajems/article/view/1626/1082 https://sajems.org/index.php/sajems/article/view/1626/1084 https://sajems.org/index.php/sajems/article/view/1626/1058
 
Coverage — — C01, C22, C54, G32
Rights Copyright (c) 2018 Kavir Patel, Ashfaaq Mohamed, Gary W. van Vuuren https://creativecommons.org/licenses/by/4.0
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