in general, energy prices, such as those of crude oil, are affected by deterministic events such as seasonal changes as well as non-deterministic events such as geopolitical events. it is the non-deterministic events which cause the prices to vary randomly and makes price prediction a difficult task. one could argue that these random changes act like noise which effects the deterministic variat...

In this paper, we have examined 4 models for Great Salt Lake level forecasting: ARMA (Auto-Regression and Moving Average), ARFIMA (Auto-Regressive Fractional Integral and Moving Average), GARCH (Generalized Auto-Regressive Conditional Heteroskedasticity) and FIGARCH (Fractional Integral Generalized Auto-Regressive Conditional Heteroskedasticity). Through our empirical data analysis where we div...

After declaring COVID-19 pneumonia as a pandemic, researchers promptly advanced to seek solutions for patients fighting this fatal disease. Computed tomography (CT) scans offer valuable insight into how infection affects the lungs. Analysis of CT is very significant, especially when physicians are striving quick solutions. This study successfully segmented lung due and provided physician with q...

producers and consumers’ price behavior were analyzed in chicken meat market in fars province. monthly average producers and consumers prices from june 1997 to july 2008 were taken into account. changes in the producer and consumer prices indicated that the prices follow an increasing trend with much fluctuations. marketing margin has an increasing trend of violent fluctuations. the result of g...

It is well-known that causal forecasting methods that include appropriately chosen Exogenous Variables (EVs) very often present improved forecasting performances over univariate methods. However, in practice, EVs are usually difficult to obtain and in many cases are not available at all. In this paper, a new causal forecasting approach, called Wavelet Auto-Regressive Integrated Moving Average w...

There is a compelling need to accurately and efficiently compute option values. Existing literature shows that models based on constant stock volatilities have been widely used in option valuation. However, stock volatilities change constantly in real life situations. The introduction of the Auto Regressive Conditional Heteroskedasticity (ARCH) model and subsequently, the Generalized Auto Regre...

Using conditional and unconditional quantile regressions this paper finds that the Mexican conditional cash transfer program PROGRESA Oportunidades has had a positive but distributionally regressive effect on the birthweight of babies born into enrolled households. The program impact varies from 135 grams on birthweights at the 20th percentile of the conditional distribution to 207 grams on bir...