...................................................................................................................................... 1 1. Introduction ............................................................................................................................ 1 2. Traditional Portfolio Return Models........................................................................................ 3 3. Bayesian Networks ................................................................................................................. 4 3.1. Semantics of Bayesian Networks ..................................................................................... 4 3.2. Making Inferences in Bayesian Networks........................................
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
Thesis (Ph.D.)--Boston UniversityThis thesis studies model inference about risk and decision making ...
The volume Computational Finance 1999 contains a selection of the papers presented at Computational ...
This thesis explores the use of Bayesian networks to develop “views” for a Black-Litterman asset all...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Portfolio managers and investors have to face the perils of the markets and the trade-off between r...
This thesis concerns portfolio theory from a Bayesian perspective and it includes two papers related...
According to the modern portfolio theory, the direction of the relationship between the securities i...
The article analyzes the expected return and portfolio risk. The development of a broad and efficien...
This dissertation consists of three essays on modeling financial risk under Bayesian framework. The ...
Modelos de Credit Scoring são utilizados para estimar a probabilidade de um cliente proponente ao cr...
An organization’s strategic objectives are accomplished through portfolios. However, the materializa...
The Capital Asset Pricing Model combined with the Sharpe ratio is a standard method for cho...
This PhD thesis consists of four separate papers. What these papers have in common is that Bayesian ...
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
Thesis (Ph.D.)--Boston UniversityThis thesis studies model inference about risk and decision making ...
The volume Computational Finance 1999 contains a selection of the papers presented at Computational ...
This thesis explores the use of Bayesian networks to develop “views” for a Black-Litterman asset all...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Portfolio managers and investors have to face the perils of the markets and the trade-off between r...
This thesis concerns portfolio theory from a Bayesian perspective and it includes two papers related...
According to the modern portfolio theory, the direction of the relationship between the securities i...
The article analyzes the expected return and portfolio risk. The development of a broad and efficien...
This dissertation consists of three essays on modeling financial risk under Bayesian framework. The ...
Modelos de Credit Scoring são utilizados para estimar a probabilidade de um cliente proponente ao cr...
An organization’s strategic objectives are accomplished through portfolios. However, the materializa...
The Capital Asset Pricing Model combined with the Sharpe ratio is a standard method for cho...
This PhD thesis consists of four separate papers. What these papers have in common is that Bayesian ...
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
This paper proposes the use of Bayesian approach to implement Value at Risk (VaR) model for both lin...
Thesis (Ph.D.)--Boston UniversityThis thesis studies model inference about risk and decision making ...