ANALYZING THE LONG-RUN RELATIONSHIPS BETWEEN THE BIST100 INDEX AND MACROECONOMIC INDICATORS: EMPIRICAL EVIDENCE FROM TÜRKİYE USING THE RALS COINTEGRATION METHOD

This study examines the long-run effects of key macro-financial variables—exchange rate, money supply (M2), and the policy-related interest rate—on the Borsa İstanbul 100 Index (BIST100) using monthly data for 2005M1–2025M9. To account for non-normality frequently observed in financial series, the analysis applies the Residual Augmented Least Squares (RALS) cointegration framework and its enhanced Engle–Granger procedure. ADF and RALS-ADF results confirm that all variables are integrated of order one, and the RALS-EG test provides strong evidence of cointegration. Long-run coefficients are estimated using Dynamic OLS (DOLS) and Fully Modified OLS (FMOLS). The findings indicate that money supply and the policy interest rate exert positive and significant long-run effects on BIST100, while the exchange rate does not exhibit a meaningful long-run impact. Overall, the results suggest that Türkiye’s stock market dynamics are shaped primarily by domestic monetary conditions rather than persistent exchange-rate movements.

Authors

Institutions

Publication Details

Journal
Yönetim ve Ekonomi Araştırmaları Dergisi
Published
2026-03-21
DOI
https://doi.org/10.11611/yead.1836326
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYZING THE LONG-RUN RELATIONSHIPS BETWEEN THE BIST100 INDEX AND MACROECONOMIC INDICATORS: EMPIRICAL EVIDENCE FROM TÜRKİYE USING THE RALS COINTEGRATION METHOD

Lütfü SİZER
Yönetim ve Ekonomi Araştırmaları Dergisi
Monetary Policy and Economic Impact
article

ANALYZING THE LONG-RUN RELATIONSHIPS BETWEEN THE BIST100 INDEX AND MACROECONOMIC INDICATORS: EMPIRICAL EVIDENCE FROM TÜRKİYE USING THE RALS COINTEGRATION METHOD

Lütfü SİZER
article en

Abstract

This study examines the long-run effects of key macro-financial variables—exchange rate, money supply (M2), and the policy-related interest rate—on the Borsa İstanbul 100 Index (BIST100) using monthly data for 2005M1–2025M9. To account for non-normality frequently observed in financial series, the analysis applies the Residual Augmented Least Squares (RALS) cointegration framework and its enhanced Engle–Granger procedure. ADF and RALS-ADF results confirm that all variables are integrated of order one, and the RALS-EG test provides strong evidence of cointegration. Long-run coefficients are estimated using Dynamic OLS (DOLS) and Fully Modified OLS (FMOLS). The findings indicate that money supply and the policy interest rate exert positive and significant long-run effects on BIST100, while the exchange rate does not exhibit a meaningful long-run impact. Overall, the results suggest that Türkiye’s stock market dynamics are shaped primarily by domestic monetary conditions rather than persistent exchange-rate movements.

Yönetim ve Ekonomi Araştırmaları DergisiVol. 24(1)
Dicle University (TR)
Openalex Percentile: Top 17%
Monetary Policy and Economic Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.