In myoelectric prostheses design, it is normally assumed that the necessary control information can be extracted from the surface myoelectric signals. In the pattern classification paradigm for controlling myoelectric prosthesis, the autoregressive (AR) model coefficients are generally considered an efficient and robust feature set. However, no formal statistical methodologies or tests are repo...

Relying on the well-established theoretical result that uncertainty has a common and an idiosyncratic component, we propose a new measure of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean forecast errors estimated by a GARCH model. The new measure is based on both common and private information available to analysts at the time they make their for...

JEL Classification Code(s): J 31, J 71) "Perceptions of Discrimination, Effort to Obtain Psychological Balance, and Relative Wages: Can We Infer a Happiness Gradient?" There is a substantial literature that finds a linkage between happiness and relative economic well being as measured by earnings or wages. There is also a well documented racial gap in wages. One explanation for this is disparat...

Recently Chen and Fan (2003a) introduced a new class of semiparametric copula-based multivariate dynamic (SCOMDY) models. A SCOMDY model specifies the conditional mean and the conditional variance of a multivariate time series parametrically (such as VAR, GARCH), but specifies the multivariate distribution of the standardized innovation semiparametrically as a parametric copula evaluated at non...

Nowadays many researchers use GARCH models to generate volatility forecasts. However, it is well known that volatility persistence, as indicated by the sum of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH models are based on these two parameters, this may lead to poor volatility forecasts. It has long been argued that this high persist...

In this paper, we introduce a two−dimensional Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model for clutter modeling and anomaly detection. The one−dimensional GARCH model is widely used for modeling financial time series. Extending the one−dimensional GARCH model into two dimensions yields a novel clutter model which is capable of taking into account important characteris...

In this paper, we provide additional empirical evidence on the impact of institutional investors on stock return dynamics. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are exploited as an unique institutional characteristic. Performing a variant of the event study methodology in an asymmetric GA...

Since financial derivatives are key instruments for risk taking as well as risk reduction, it is only straightforward to examine their role in currency crises. This paper addresses this issue by investigating the impact of currency futures trading on the underlying exchange rates. After a discussion of trading mechanisms and trader types, the linkage between futures trading activity and spot ma...

This paper examines the dynamics of the linkages between Shanghai and Hong Kong stock indices. While the volatility linkage is analysed by a multivariate GARCH framework, the dependence of returns is examined by a copula approach. Eight different copula functions are applied in this study including two time varying ones which capture the time varying process of the linkage. The result shows sig...

The margin system is a clearinghouse’s first line of defense against the default risk. From the perspectives of a clearinghouse, the utmost concern is to have a prudential system to control the default exposure. Once the level of prudentiality is set, the next concern is the opportunity cost to the investors. It is because high opportunity cost discourages people from hedging futures and thus d...