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Realized variance, being the summation of squared intra-day returns, has quickly gained popularity as a measure of daily volatility. Following Parkinson (1980) we replace each squared intra-day return by the high-low range for that period to create a novel and more efficient estimator called the...
Persistent link: https://www.econbiz.de/10004972248
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
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily and weekly … data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a new … result is that we find spurious GARCH in over 50% of the cases. Using Monte Carlo simulations, in which we evaluate our …
Persistent link: https://www.econbiz.de/10008584701
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