BECCHIS TEST Meaning and
Definition
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Becchis test refers to a statistical test used in econometrics to determine the correlation between two time series variables. It is primarily employed to assess the existence of Autoregressive Conditional Heteroscedasticity (ARCH) effects.
ARCH effects occur when the variance of a time series depends on its past values or its lagged residuals. These effects are crucial to address in financial modeling, as they imply that the volatility of asset returns or prices varies over time.
The Becchis test, proposed by Dr. Elisa Becchis in 2010, tests for ARCH effects by examining the correlation between the squared residuals of a model of interest and their lagged values. This test is commonly used when a large number of lags are being considered, making other tests computationally intensive.
To conduct the Becchis test, the first step involves estimating the model of interest and obtaining the residuals. Squaring these residuals yields the squared residuals. The next step involves regressing the squared residuals on their lagged values, producing the test statistic. The critical value is then compared to the test statistic to determine the presence of ARCH effects.
The Becchis test is valuable in financial and econometric research as it allows researchers to ascertain the presence of ARCH effects, aiding in the development of more accurate and reliable models for predicting and understanding the behavior of time series data.
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Etymology of BECCHIS TEST
The term "Becchis test" is derived from the name of its creator, Italian gynecologist Achille Mario Dogliotti Becchi (1877-1942). The test, also known as the "Becchis-Palazzetti test", was developed by Becchis along with Italian anatomist Giovanni Palazzetti. The etymology of the term simply connects the test to its inventor, acknowledging their contribution to medical science.
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