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Journals / Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2020 / Cilt: 10 - Sayı: 2

An Analysis on the Relationship between Exchange Rate and Stock Prices in the Short-Run and Long-Run: NARDL Model Results for the Kuwait Economy

Döviz Kuru ve Hisse Senedi Fiyatları Arasındaki İlişkinin Kısa ve Uzun Dönemde İncelenmesi: Kuveyt Ekonomisi için NARDL Modeli Bulguları

Afşin ŞAHİN
Mabruka MOHAMED
Pages
397–426
Publication Date
2020-12-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Although the linear model indicates that an appreciation of the local currency increases stock prices in the short-run, the nonlinear model reveals a drop in stock prices significantly in the long-run.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The efficiency of the stock market is tested by linear and non-linear methods benefiting from variables such as exchange rate, interest rate, money supply, and commodity prices.
📊
Key Findings & Data:This paper specifically focuses on the exchange rate variable for an oil producer country, Kuwait, and tries to estimate parameters using the Classical Linear Regression Model, Autoregressive Distributed Lag Model and Nonlinear Autoregressive Distributed Lag Model.
💡
Conclusion & Impact:Although the linear model indicates that an appreciation of the local currency increases stock prices in the short-run, the nonlinear model reveals a drop in stock prices significantly in the long-run.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Exchange Rate · Stock Price · Nonlinear ARDL

Abstract

Abstract. The efficiency of the stock market is tested by linear and non-linear methods benefiting from variables such as exchange rate, interest rate, money supply, and commodity prices. This paper specifically focuses on the exchange rate variable for an oil producer country, Kuwait, and tries to estimate parameters using the Classical Linear Regression Model, Autoregressive Distributed Lag Model and Nonlinear Autoregressive Distributed Lag Model. According to nonlinear results, we explore that macroeconomic and financial variables are inextricably interwined with stock prices. In this respect, exchange rate substantial harbinger considering magnitude and asymmetry. The results put forward in this study indicate a cointegration relationship, a short-run and long-run asymmetry between exchange rate and stock prices. Although the linear model indicates that an appreciation of the local currency increases stock prices in the short-run, the nonlinear model reveals a drop in stock prices significantly in the long-run.

Özet

Abstract. The efficiency of the stock market is tested by linear and non-linear methods benefiting from variables such as exchange rate, interest rate, money supply, and commodity prices. This paper specifically focuses on the exchange rate variable for an oil producer country, Kuwait, and tries to estimate parameters using the Classical Linear Regression Model, Autoregressive Distributed Lag Model and Nonlinear Autoregressive Distributed Lag Model. According to nonlinear results, we explore that macroeconomic and financial variables are inextricably interwined with stock prices. In this respect, exchange rate substantial harbinger considering magnitude and asymmetry. The results put forward in this study indicate a cointegration relationship, a short-run and long-run asymmetry between exchange rate and stock prices. Although the linear model indicates that an appreciation of the local currency increases stock prices in the short-run, the nonlinear model reveals a drop in stock prices significantly in the long-run.

🔖

Cite This Article

ŞAHİN, A., MOHAMED, M. (2020). An Analysis on the Relationship between Exchange Rate and Stock Prices in the Short-Run and Long-Run: NARDL Model Results for the Kuwait Economy. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 10 - Sayı: 2, 397–426. https://ajindex.com/articles/216885

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