Internet structured financial products quickly occupied the market, however, ordinary investors cannot identify its risks because of complex product design. In this paper, Garch-EVT-Copula is used to scale the market risk of these products and quantify the extreme market risk through the Extreme Value Theory, Copula function and VaR model. After introducing our model, this paper uses the method to measure the risk of Internet structured financial products on the platform with an example, and provide scientific decision-making basis for the risk management of Internet financial products
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...
This paper proposes a multivariate copula-based volatility model for estimating value-at-Risk in ban...
M.Sc.In this dissertation we take a closer look at how copulas can be used to improve the risk measu...
Financial risk management takes an important part of continuing financial globalization. From the po...
As the two important form of financial market, the risk of financial securities, such as stocks and ...
The financial crisis of $2008$-$2009$ has led to more strict regulatory supervisory on banks and ins...
Traditional Monte Carlo simulation using linear correlations induces estimation bias in measuring po...
Cyber risk or data breach risk can be estimated similarly as other types of operational risk. First ...
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR...
textabstractCopulas offer financial risk managers a powerful tool to model the dependence between th...
In this paper, an optimal investment portfolio including securities of four sectors: financial, chem...
Value at Risk (VaR) is a risk measurement tool to calculate the estimated maximum investment loss wi...
Copula functions represent a methodology that describes the dependence structure of a multi-dimensio...
With the development of China’s financial market, the risk contagion effect among financial institut...
In this paper, we propose a model for forecasting Value-at-Risk (VaR) using a Bayesian Markov-switch...
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...
This paper proposes a multivariate copula-based volatility model for estimating value-at-Risk in ban...
M.Sc.In this dissertation we take a closer look at how copulas can be used to improve the risk measu...
Financial risk management takes an important part of continuing financial globalization. From the po...
As the two important form of financial market, the risk of financial securities, such as stocks and ...
The financial crisis of $2008$-$2009$ has led to more strict regulatory supervisory on banks and ins...
Traditional Monte Carlo simulation using linear correlations induces estimation bias in measuring po...
Cyber risk or data breach risk can be estimated similarly as other types of operational risk. First ...
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR...
textabstractCopulas offer financial risk managers a powerful tool to model the dependence between th...
In this paper, an optimal investment portfolio including securities of four sectors: financial, chem...
Value at Risk (VaR) is a risk measurement tool to calculate the estimated maximum investment loss wi...
Copula functions represent a methodology that describes the dependence structure of a multi-dimensio...
With the development of China’s financial market, the risk contagion effect among financial institut...
In this paper, we propose a model for forecasting Value-at-Risk (VaR) using a Bayesian Markov-switch...
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...
This paper proposes a multivariate copula-based volatility model for estimating value-at-Risk in ban...
M.Sc.In this dissertation we take a closer look at how copulas can be used to improve the risk measu...