2020
DOI: 10.24136/oc.2020.025
|View full text |Cite
|
Sign up to set email alerts
|

The volatility of bank stock prices and macroeconomic fundamentals in the Pakistani context: an application of GARCH and EGARCH models

Abstract: Research Background: The banking sector plays a crucial role in the world?s economic development. This research paper evaluates the volatility spillover, symmetric, and asymmetric effects between the macroeconomic fundamentals, i.e., market risks, interest rates, exchange rates, and bank stock returns, for the listed banks of Pakistan. Purpose of the article: The main purpose of this study is to examine the volatility of Pakistani banking stock returns due to the influence of market risk, interest rates,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
17
0
1

Year Published

2021
2021
2023
2023

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 22 publications
(19 citation statements)
references
References 217 publications
1
17
0
1
Order By: Relevance
“…After taking the first differences, both conditional series have shown a 1 and 5% level of significance for all variables. The last column has contained the order of integration in which I represent the integrated order of variables (Johansen, 1992;Cheung and Lai, 1995;Mohsin et al, 2020a;Salamat et al, 2020). The numeric values 0 and 1 are used for level and first difference.…”
Section: Resultsmentioning
confidence: 99%
“…After taking the first differences, both conditional series have shown a 1 and 5% level of significance for all variables. The last column has contained the order of integration in which I represent the integrated order of variables (Johansen, 1992;Cheung and Lai, 1995;Mohsin et al, 2020a;Salamat et al, 2020). The numeric values 0 and 1 are used for level and first difference.…”
Section: Resultsmentioning
confidence: 99%
“…If estimated coefficient is statistically significant, [ 42 ]. If X is cause variable for Y and is statistically significant, i.e., [ 43 , 44 ]. The significance of and confirms mutual dependency of two specific variables.…”
Section: Methodsmentioning
confidence: 99%
“…96.) Mohsin et al ( 2020 ) considered how EGARCH (1,1) assesses the impact of leverage (negative or positive shock) on the unpredictability of bank stock returns. In addition, EGARCH (1,1) uses a logarithmic model of conditional variance, because logarithmic values can be positive or negative, thus avoiding the GARCH model's restriction against non-negative coefficients.…”
Section: Methodsmentioning
confidence: 99%
“…We also know that, under the ARCH effect, the β value estimated by OLS linear regression is biased and also ineffective. In order to obtain an unbiased estimate of β, this paper selects the GARCH (1,1) family model to correct the residuals and improve the model ( 7), in agreement with the procedure of Mohsin et al (2020) which considers the GARCH (1,1) model to be the best fit model for obtaining volatility.…”
Section: E-garch Model Testingmentioning
confidence: 99%