BORSA İSTANBUL BANKA ENDEKSİ VE PARA POLİTİKASI ARAÇLARININ JOHANSEN KOENTEGRASYON YÖNTEMİYLE ARAŞTIRILMASI

Banks are among the most important actors in the economy due to their role as market makers. The banking sector stands out as one of the sectors with the highest liquidity. Borsa Istanbul (BIST) Bank Index represents the index of banks whose shares are traded on the stock exchange in Turkey. Money supply and policy interest rates are among the main monetary policy instruments most frequently used by the Central Bank (CB) to control liquidity. In this respect, analysing the effects of monetary policy instruments on bank index returns is deemed worthy of research. For this purpose, time series consisting of 225 monthly observations from 01/12/2005 to 01/08/2024, which is the earliest available date, are constructed for BIST Bank index, policy interest rate and M2 money supply. These three time series were subjected to Johansen Co-integration analysis and then the error correction model and the long-run equation of the variables were obtained. As a result of the analyses, it is decided that all three variables are cointegrated in the long run between 2005 and 2024, and it is observed that in case of a possible imbalance between the three variables, the variables converge to each other again in 52.4109 periods and move to a new equilibrium position. In addition, it is determined that a 1% increase in money supply in the long run causes a 0.9% increase in the bank index and a 1% increase in the interest rate causes a 0.7% increase in the bank index.

Institutions

Publication Details

Journal
DergiPark (Istanbul University)
Published
2024-12-10
Primary Topic
Advanced Frequency and Time Standards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BORSA İSTANBUL BANKA ENDEKSİ VE PARA POLİTİKASI ARAÇLARININ JOHANSEN KOENTEGRASYON YÖNTEMİYLE ARAŞTIRILMASI

DergiPark (Istanbul University)
Advanced Frequency and Time Standards
article

BORSA İSTANBUL BANKA ENDEKSİ VE PARA POLİTİKASI ARAÇLARININ JOHANSEN KOENTEGRASYON YÖNTEMİYLE ARAŞTIRILMASI

article en

Abstract

Banks are among the most important actors in the economy due to their role as market makers. The banking sector stands out as one of the sectors with the highest liquidity. Borsa Istanbul (BIST) Bank Index represents the index of banks whose shares are traded on the stock exchange in Turkey. Money supply and policy interest rates are among the main monetary policy instruments most frequently used by the Central Bank (CB) to control liquidity. In this respect, analysing the effects of monetary policy instruments on bank index returns is deemed worthy of research. For this purpose, time series consisting of 225 monthly observations from 01/12/2005 to 01/08/2024, which is the earliest available date, are constructed for BIST Bank index, policy interest rate and M2 money supply. These three time series were subjected to Johansen Co-integration analysis and then the error correction model and the long-run equation of the variables were obtained. As a result of the analyses, it is decided that all three variables are cointegrated in the long run between 2005 and 2024, and it is observed that in case of a possible imbalance between the three variables, the variables converge to each other again in 52.4109 periods and move to a new equilibrium position. In addition, it is determined that a 1% increase in money supply in the long run causes a 0.9% increase in the bank index and a 1% increase in the interest rate causes a 0.7% increase in the bank index.

DergiPark (Istanbul University)
Manisa Celal Bayar University (TR)
Openalex Percentile: Top 57%
Advanced Frequency and Time Standards
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.