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179.755  Articles
1 of 17.977 pages  |  10  records  |  more records»
Housing prices have been the subject of many studies, and some of them have tried to determine the influencing structural and location factors through hedonic econometric models. One of the main factors considered in the literature on real estate appraisa... see more

The impact evaluation of exogenous policies over time is of great importance in several areas. Unfortunately, an adequate time-series analysis has not always been taken into account in the literature, mainly in health problems. When regression models are ... see more

Context. Nonlinear nonstationary processes are observed today in various fields of studies: economy, finances, ecology, demographyetc. Very often special approaches are required for model development and forecasts estimation for the processes mentioned.Th... see more

The paper authenticated the need for separate positive integer time series model(s). This was done from the standpoint of a proposal for both mixtures of continuous and discrete time series models. Positive integer time series data are time series data su... see more

AbstractOrientation: Value-at-risk (VAR) and other risk management tools, such as expected shortfall (conditional VAR), are heavily reliant on a suitable set of underlying distributional conjecture. Thus, distinguishing the underlying distribution that be... see more

The performance of heteroscedasticity consistent covariance matrix estimators (HCCMEs), namely, HC0, HC1, HC2, HC3 and HC4 have been evaluated by numerous researchers for the heteroscedastic linear regression models. This study focuses on examining the pe... see more

Macroeconomic variables often have an impact on stock price volatility and this is needed especially to determine stock price policies in the future. The approach used to see the extent of the volatility of macroeconomic variables on stock prices is the A... see more

Price volatility of stocks is an important issue in stock markets. It should also be taken into account that the stochastic nature of volatility affects decision-makers’ minds to a great extent. Therefore, predicting price volatility could help them make ... see more

  Using the number of thrips found in the maize seedlings from a longitudinal study, in this work a regression analysis was conducted through polynomial models and nonlinear logistic, under the assumption of homoscedasticity and multiplicative h... see more

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