Impact of Exchange Rates on Returns in Share Market: A Case of Pakistan

Sayed Ajan Ahmadzai; Mohammad Shakir Ebrahimi; Najibullah Arshad; Naeemullah Amani

doi:10.55544/jrasb.2.6.23

Authors

Sayed Ajan Ahmadzai PhD Scholar, Andhra University, India & Assistant Professor, Master of Business Administration, Economics Faculty, Kateb University, Kabul, AFGHANISTAN.
Mohammad Shakir Ebrahimi Lecturer, Economics Faculty, Bakhtar University, Kabul, AFGHANISTAN.
Najibullah Arshad Assistant Professor, Economics Faculty, Kateb University, Kabul, AFGHANISTAN.
Naeemullah Amani Lecturer, Economics Faculty, Bakhtar University, Kabul, AFGHANISTAN.

DOI:

https://doi.org/10.55544/jrasb.2.6.23

Keywords:

ARDL, Exchange rates, SEM/Recursive Models, KSE-100 Index, Share Market Returns

Abstract

The study focused on appraising the influence of exchange rates on returns in the share market: a case of Pakistan. Time-series data spanning 36 years (1980 to 2016) was utilized. To capture the impact of exchange rates on returns in the share market, a theory-based model consisting of six sub-models was planned and estimated through the recursive simultaneous-equations econometric estimation technique. As the data was time series, augmented Dickey-Fuller (ADF) tests were employed to assess the stationarity of the considered variables. The autoregressive distributed lag (ARDL) model was chosen due to some variables being found at different levels, such as me (0) and I (1). Bounds tests in the conclusion declared that the value of F-statistics expressed long-run associations among variables. The results revealed that share market returns were positively influenced by the exchange rate. The model also indicated that share market returns were significantly influenced by Foreign Portfolio Investment (FPI). Furthermore, National Savings (NS) demonstrated a positive and significant association with share market returns (SMR). The study's outcomes also illustrated that National Income (NI) had a positive and significant influence on SMR. The study encompassed well-expanded details and estimation techniques of various models and measures required in this type of research, especially when utilizing time-series data. Based on research findings, it was suggested that potential researchers reproduce this research to achieve a better and relatively well-conceived, well-estimated model on the topic. Additionally, it was recommended that public and private sector planners and researchers seek guidance not only on statistically significant exogenous variables but also on other explanatory variables for their effects on the endogenous variables.

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