The analysis of cross-correlation between Istanbul Stock Exchange and major stock markets and indices: An empirical analysis using Random Matrix Theory
Concurrency and Computation: Practice and Experience
; 2022.
Article
in English
| Scopus | ID: covidwho-1940800
ABSTRACT
This study attempts to investigate the cross-correlation between stocks listed under the XU100 index of Borsa Istanbul with several ratios and indices of the stock markets worldwide by using the Random Matrix Theory approach through a correlation matrix. In addition, Eigenvector Analysis, Network Analysis, Dimension Reduction will be carried out to investigate cross-correlation between markets. It was found that XU100, which is an index that includes 100 stocks highest in volume, has a distinguishing behavior compared to other indices and rates in terms of eigenvalue and related eigenvector structures. Furthermore, mean-value portfolio analysis showed that the empirical correlation matrix underestimates the portfolio risks than the correlation matrix obtained by filtering the noise. Coronavirus pandemic also affected Borsa Istanbul by breaking periodic behavior of volatility and correlation cycle. © 2022 John Wiley & Sons, Ltd.
covid-19; cross-correlation; Istanbul Stock Exchange; Network Analysis; Random Matrix Theory; stock markets; Commerce; Coronavirus; Eigenvalues and eigenfunctions; Matrix algebra; Random variables; Risk assessment; Correlation matrix; Cross-correlations; Dimension reduction; Eigen-value; Eigenvector analysis; Empirical analysis; Istanbul; Random matrices theory; Financial markets
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Randomized controlled trials
Language:
English
Journal:
Concurrency and Computation: Practice and Experience
Year:
2022
Document Type:
Article
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