ScholarLens Back to search
2015•Sakarya University Journal of ScienceOpen access

MODELING DEPENDENT FINANCIAL ASSETS BY DYNAMIC COPULA AND PORTFOLIO OPTIMIZATION BASED ON CVAR

Sibel Açık Kemaloğlu, Emel Kızılok Kara

Open full text 1 citations

Abstract

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using copula. Since financial data is greatly affected by the economic factors, it often varies according to the time. Therefore, dynamic copula model is used that takes into account the time-varying. In addition, portfolio optimization based on Mean-CVaR modelis applied with Monte Carlo simulation. As an application, a portfolio withfour different Indexes is constructed from the Turkish financial markets. Themarginal distributions of assets in the portfolio are estimated and parameterestimates are given for the different copula models. The portfolio optimizationbased on CVaR is made for the portfolio created from the specified copula model

About this research paper

What this paper is about

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using copula. Since financial data is greatly affected by the economic factors, it often varies according to the time. Therefore, dynamic copula model is used that takes into account the time-varying. In addition, portfolio optimization based on Mean-CVaR modelis applied with Monte Carlo simulation. As an application, a portfolio withfour different Indexes is constructed from the Turkish financial markets. Themarginal distributions of assets in the portfolio are estimated and parameterestimates are given for the different copula models. The portfolio optimizationbased on CVaR is made for the portfolio created from the specified copula model

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using copula. Since financial data is greatly affected by the economic factors, it often varies according to the time. Therefore, dynamic copula model is used that takes into account the time-varying. In addition, portfolio optimization based on Mean-CVaR modelis applied with Monte Carlo simulation. As an application, a portfolio withfour different Indexes is constructed from the Turkish financial markets. Themarginal distributions of assets in the portfolio are estimated and parameterestimates are given for the different copula models. The portfolio optimizationbased on CVaR is made for the portfolio created from the specified copula model

Key concepts: CVAR, Copula (linguistics), Portfolio, Portfolio optimization, Actuarial science, Econometrics, Economics, Expected shortfall

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
MODELING DEPENDENT FINANCIAL ASSETS BY DYNAMIC COPULA AND PORTFOLIO OPTIMIZATION BASED ON CVAR — Research Paper | ScholarLens