Effects of Changes in Index Composition on Stock Market: Evidence from the Istanbul Stock Exchange

2001 ◽  
Author(s):  
Recep Bildik ◽  
Guzhan Gulay
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Istanbul Stock Exchange

scholarly journals An analysis of dependence between oil price and stock market with Copula-Garch approach: An empirical analysis from Istanbul stock exchange

2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 33-46 ◽  
Author(s):  
Ayse Metin-Karakas
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Tail Dependence ◽  
Oil Prices ◽  
Oil Price ◽  
Dependence Structure ◽  
Istanbul Stock Exchange ◽  
Non Linear ◽  
Dependence Measures ◽  
Risk Managers

This paper examines the dependence structure between National 100, National 50, and National 30 Indices of Istanbul Stock Exchange and international Brent oil price by using copula-GARCH method. Linear correlation has a serious deficiency. Whereas copula method is not invariant under non-linear strictly increasing transformation. Meanwhile the dependence measures derived from copulas can overcome this shortcoming and have broader applications. Furthermore, copulas can be used to describe more complex multivariate dependence structures, such as non-linear and tail dependence. In this study, we covered the period from March 14, 2001 to March 23, 2018 by using daily prices. Our findings suggest that there is a weak dependence structure between Istanbul Stock Exchange and Brent oil prices which may have significant implications for policymakers, investors and risk managers in terms of the relationship between oil prices and the stock market.

THE IMPACT OF DOMESTIC AND FOREIGN MACROECONOMIC NEWS ON STOCK MARKET VOLATILITY: ISTANBUL STOCK EXCHANGE

2011 ◽  
Vol 25 (1) ◽  
pp. 123-137 ◽  
Author(s):  
Gülüzar Kurt Gümüş ◽  
A. Tülay Yücel ◽  
Deniz Karaoğlan ◽  
Şaban Çelik
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Macroeconomic News ◽  
Istanbul Stock Exchange ◽  
The Impact

scholarly journals Effects of USD Exchange Rate over the Istanbul Stock Market 30 Index and Investigation of the Relationship between Them

2015 ◽  
Author(s):  
Selçuk Kendirli ◽  
Muhammet Çankaya
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Stock Exchange ◽  
Causality Test ◽  
Data Set ◽  
Important Place ◽  
Dollar Exchange Rate ◽  
Istanbul Stock Exchange ◽  
The Relationship

It is known that financial markets have important place in today's economy. Individuals could be evaluated their saving with their own research or they could be evaluated their savings with financial experts recommendations. A large portion of those funds of individual or institutional investors managed are directed to the stock market of the country. When considered in terms of Turkey, Istanbul Stock Exchange is examples for this topic. The changes in economic data, is influenced to many variables especially the stock market. It is perceived in the market as bad data that the rising in unemployment, the reduction of industrial production, the increases in interest rates and cost of credit, the increase in foreign exchange rates. In this study, it was investigated the causality of the dollar exchange rate between Istanbul Stock Exchange National 30 Index (BIST-30) with "Granger Causality Test". Monthly values are used including the period of 2009:1 (January of 2009) between period of 2014:12 (December 2014) as data set. We used the first trading day closing values in the calculation of monthly returns for the period. At the end of the study, we couldn’t find any causal relationship between the dollar exchange rate and the BIST-30 Index.

META-ANALYSIS ON AMERICAN PRESIDENTIAL ELECTION - 2016 AND AMERICAN STOCK MARKET

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Farhan Ahmed ◽  
Salman Bahoo ◽  
Sohail Aslam ◽  
Muhammad Asif Qureshi
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Presidential Election ◽  
Republican Party ◽  
Stock Exchange ◽  
Meta Analysis ◽  
Composite Index ◽  
Stock Index ◽  
Political Event

This paper aims to analyze the efficient stock market hypothesis as responsive to American Presidential Election, 2016. The meta-analysis has been done combining content analysis and event study methodology. The all major newspapers, news channels, public polls, literature and five important indices as Dow Jones Industrial Average (DJIA), NASDAQ Stock Market Composit Indexe (NASDAQ-COMP), Standard & Poor's 500 Index (SPX-500), New York Stock Exchange Composite Index (NYSE-COMP) and Other U.S Indexes-Russell 2000 (RUT-2000) are critically examined and empirically analyzed. The findings from content analysis reflect that stunned winning of Mr Trump from Republican Party worked as shock for American stock market. From event study, findings confirmed that all the major indices reflected a decline on winning of Trump and losing of Ms. Clinton from Democratic. The results are supported empirically and practically through the political event like BREXIT that resulted in shock to Global stock index and loss of $2 Trillion.

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