Testing, in the financial markets, the hypothesis of a k latent factor structure by the methods of exploratory factor analysis rises some difficulties. In order to get over these problems a new criterion is suggested, in which all a priori known information are used: the sample size and the number of observations. A Monte Carlo simulation shows that the new criterion performs better than the traditional methods. Finally, an application to the Italian stock market indicates the presence of a multifactor structure underlying the stock returns
We build a simple diagnostic criterion for approximate factor structure in large cross-sectional equ...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
The identification of the exact dimension of a factor model is usually done using the likelihood rat...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
We build a simple diagnostic criterion for approximate factor structure in large panel datasets. Giv...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Aim of this paper is to identify the pricing factor structure of Italian equity returns. The Italian...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two\u2010s...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two‐step e...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two‐step e...
We build a simple diagnostic criterion for approximate factor structure in large cross-sectional equ...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
This article develops a new information criterion for the analysis of the factor structure of financ...
The identification of the exact dimension of a factor model is usually done using the likelihood rat...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
We build a simple diagnostic criterion for approximate factor structure in large panel datasets. Giv...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Aim of this paper is to identify the pricing factor structure of Italian equity returns. The Italian...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two\u2010s...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two‐step e...
We study the pricing factor structure of Italian equity returns using 25 years of data. A two‐step e...
We build a simple diagnostic criterion for approximate factor structure in large cross-sectional equ...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...
The aim of this paper is to identify the pricing factor structure of Italian eq- uity returns. The I...