• Using past data to predict future data.

 Embedded terms in definition
 Referenced Terms
 Arch: Is Autoregressive Conditional Heteroskedasticity. It is a time series approach that models volatility as function of previous returns.

 Egarch: Is Exponential Generalized Autoregressive Conditional Heteroskedasticity (GARCH).

 Extrapolative statistical models: Models that apply a formula to historical data and project results for a future period. Such models include the simple linear trend model, the simple exponential model, and the simple Autoregressive model.

 Garch: Is Generalized Autoregressive Conditional Heteroskedasticity (ARCH). It is a time series approach which models volatility as a function of both previous returns and previous volatilities.

 Igarch: Is Integrated Generalized Autoregressive Conditional Heteroskedasticity (GARCH).

<< Automatic stay Availability float >>

What Happens If a Bank Fails?: How the FDIC protects depositors, including providing quick access to insured funds. More...

Do not let yourselves be discouraged or embittered by the smallness of the success you are likely to achieve in trying to make life better. You certainly would not be able, in a single generation, to create an earthly paradise. Who could expect that? But, if you make life ever so little better, you will have done splendidly, and your lives will have been worthwhile. - Arnold Toynbee


Copyright 2009-2018 GVC. All rights reserved.