Abstract: Markowitz’s mean-variance portfolio selection and efficient frontier pioneered the developments of modern portfolio optimization theory. In this paper the left-shifting role of the GARCH(1,1) (General Autoregressive Conditional Heteroskedastic) model in efficient frontier is revealed by comparing with the frontiers of its extensions, say, EGARCH, TARCH, PARCH and C-ARCH models. Our investigations have shown that within the Sharpe single index framework, apparent shifts to the left in the efficient frontier of the GARCH(1,1) is observed. It is believed that this empirical discovery is very important to the financial engineering research and practices
The Efficient Market Theory that assumes the homogeneity of investors' ex- pectations has several sh...
Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. ...
ARCH and GARCH models have become important tools in the analysis of time series data, particularly ...
Markowitz's modem portfolio theory has played a vital role in investment portfolio management, which...
The Auto Regressive Conditional Heteroskedastic (ARCH) and its Generalized version (GARCH) family of...
Abstract: In this paper we investigate the behavior of efficient frontier when the Troskie-Hossain c...
The main aim of this article is to investigate the accuracy of the Multivariate Generalized Autoregr...
The development of information and financial technologies offers a wide spectrum of opportunities in...
The main aim of this article is to investigate the accuracy of the Multivariate Generalized Autoregr...
In this thesis, we have built an optimal portfolio using five assets from the Japanese market. We ha...
Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. ...
The authors propose a simplified multivariate GARCH (generalized autoregressive conditional heterosc...
ARCH and GARCH models have become important tools in the analysis of time series data, particularly ...
2 Abstract This paper deploys methodology typically utilized in financial econometrics, namely univa...
This thesis aims to construct an optimal portfolio and model as well as forecast its volatility. The...
The Efficient Market Theory that assumes the homogeneity of investors' ex- pectations has several sh...
Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. ...
ARCH and GARCH models have become important tools in the analysis of time series data, particularly ...
Markowitz's modem portfolio theory has played a vital role in investment portfolio management, which...
The Auto Regressive Conditional Heteroskedastic (ARCH) and its Generalized version (GARCH) family of...
Abstract: In this paper we investigate the behavior of efficient frontier when the Troskie-Hossain c...
The main aim of this article is to investigate the accuracy of the Multivariate Generalized Autoregr...
The development of information and financial technologies offers a wide spectrum of opportunities in...
The main aim of this article is to investigate the accuracy of the Multivariate Generalized Autoregr...
In this thesis, we have built an optimal portfolio using five assets from the Japanese market. We ha...
Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. ...
The authors propose a simplified multivariate GARCH (generalized autoregressive conditional heterosc...
ARCH and GARCH models have become important tools in the analysis of time series data, particularly ...
2 Abstract This paper deploys methodology typically utilized in financial econometrics, namely univa...
This thesis aims to construct an optimal portfolio and model as well as forecast its volatility. The...
The Efficient Market Theory that assumes the homogeneity of investors' ex- pectations has several sh...
Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. ...
ARCH and GARCH models have become important tools in the analysis of time series data, particularly ...