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The GARCH model and the Stochastic Volatility [SV] model are competing but non-nested models to describe unobserved … volatility in asset returns. We propose a GARCH model with an additional error term, which can capture SV model properties, and … which can be used to test GARCH against SV. We discuss model representation, parameter estimation and a simple test for …
Persistent link: https://www.econbiz.de/10005696115
Under the Basel II Accord, banks and other Authorized Deposit-taking Institutions (ADIs) have to communicate their daily risk estimates to the monetary authorities at the beginning of the trading day, using a variety of Value-at-Risk (VaR) models to measure risk. Sometimes the risk estimates...
Persistent link: https://www.econbiz.de/10005056585
The potential for portfolio diversification is driven broadly by two characteristics: the degree to which systematic risk factors are correlated with each other and the degree of dependence individual firms have to the different types of risk factors. Using a global vector autoregressive...
Persistent link: https://www.econbiz.de/10005765811
We develop a framework for modeling conditional loss distributions through the introduction of risk factor dynamics. Asset value changes of a credit portfolio are linked to a dynamic global macroeconometric model, allowing macro effects to be isolated from idiosyncratic shocks. Default...
Persistent link: https://www.econbiz.de/10005766168
higher profits. Typically, GARCH type models are chosen to forecast Value-at-Risk (VaR) using a single risk model. In this …
Persistent link: https://www.econbiz.de/10005034226