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The analysis of cross-correlation between Istanbul Stock Exchange and major stock markets and indices: An empirical analysis using Random Matrix Theory

机译:伊斯坦布尔证券交易所与主要股票市场和指数之间的相互相关性分析——基于随机矩阵理论的实证分析

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摘要

This study attempts to investigate the cross-correlation between stocks listed underthe XU100 index of Borsa Istanbul with several ratios and indices of the stock marketsworldwide by using the Random Matrix Theory approach through a correlation matrix.In addition, Eigenvector Analysis, Network Analysis, Dimension Reduction will be carriedout to investigate cross-correlation between markets. It was found that XU100,which isanindex that includes100stocks highest in volume, has a distinguishingbehaviorcompared to other indices and rates in terms of eigenvalue and related eigenvectorstructures. Furthermore, mean-value portfolio analysis showed that the empirical correlationmatrix underestimates the portfolio risks than the correlation matrix obtainedby filtering the noise. Coronavirus pandemic also affected Borsa Istanbul by breakingperiodic behavior of volatility and correlation cycle.
机译:本研究试图通过相关矩阵,采用随机矩阵理论方法,研究伊斯坦布尔证券交易所XU100指数下上市的股票与全球股票市场多个比率和指数之间的互相关关系。此外,还将进行特征向量分析、网络分析、降维,以研究市场之间的相互相关性。研究发现,XU100是包含100个股票的指数,在特征值和相关特征向量结构方面与其他指数和速率相比具有显著性。此外,均值投资组合分析表明,经验相关矩阵比滤波噪声得到的相关矩阵低估了投资组合风险。冠状病毒大流行还通过打破波动性和相关性周期的周期性行为影响了伊斯坦布尔证券交易所。

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