Model risk in the estimation of value-at-risk is a challenging threat for the success of any financial investments. The degree of the model risk increases when the estimation process is constructed with a portfolio in the emerging markets. The proper model should both provide flexible joint distributions by splitting the marginality from the dependencies among the financial assets within the portfolio and also capture the non-linear behaviours and extremes in the returns arising from the special features of the emerging markets. In this paper, we use time-varying copula to estimate the value-at-risk of the portfolio comprised of the Bovespa and the IPC Mexico in equal and constant weights. The performance comparison of the copula model to t...
Copula theory is particularly useful for modeling multivariate distributions as it allows us to deco...
The recent financial turmoil which causes the financial markets to react in a non- linear way has l...
This thesis studies and develops copula-based portfolio optimization. The overall purpose is to clar...
Model risk in the estimation of value-at-risk is a challenging threat for the success of any financi...
This work applies copula modeling to estimate the degree of dependence among the nine major equity m...
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR...
Eines der beliebtesten und weltweit gängigsten Maße für Finanzrisiken - und damit für die Bewertung ...
Value-at-Risk (VaR) of a portfolio is determined by the multivariate distribution of the risk factor...
Value-at-Risk (VaR) is a common tool employed in the estimation of market risk. Traditionally, VaR o...
In this paper we calculate value at risk (VAR) for a two risky assets portfolio assuming that the de...
Traditional Monte Carlo simulation using linear correlations induces estimation bias in measuring po...
In this paper we use local estimation to assess temporal trends in copula based Value-at- Risk (VaR)...
With the increasing complexity of risks, how to estimate the risk of portfolios with complex depende...
[[abstract]]Portfolio value-at-risk (PVAR) is widely used in practice, but recent criticisms have fo...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Copula theory is particularly useful for modeling multivariate distributions as it allows us to deco...
The recent financial turmoil which causes the financial markets to react in a non- linear way has l...
This thesis studies and develops copula-based portfolio optimization. The overall purpose is to clar...
Model risk in the estimation of value-at-risk is a challenging threat for the success of any financi...
This work applies copula modeling to estimate the degree of dependence among the nine major equity m...
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR...
Eines der beliebtesten und weltweit gängigsten Maße für Finanzrisiken - und damit für die Bewertung ...
Value-at-Risk (VaR) of a portfolio is determined by the multivariate distribution of the risk factor...
Value-at-Risk (VaR) is a common tool employed in the estimation of market risk. Traditionally, VaR o...
In this paper we calculate value at risk (VAR) for a two risky assets portfolio assuming that the de...
Traditional Monte Carlo simulation using linear correlations induces estimation bias in measuring po...
In this paper we use local estimation to assess temporal trends in copula based Value-at- Risk (VaR)...
With the increasing complexity of risks, how to estimate the risk of portfolios with complex depende...
[[abstract]]Portfolio value-at-risk (PVAR) is widely used in practice, but recent criticisms have fo...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Copula theory is particularly useful for modeling multivariate distributions as it allows us to deco...
The recent financial turmoil which causes the financial markets to react in a non- linear way has l...
This thesis studies and develops copula-based portfolio optimization. The overall purpose is to clar...