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11 results for “VAR models”
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Research ArticleOpen accessPhrase in the titleParsimonious Var Models For Air Pollution Dynamic AnalysisFontanella lara, Granturco mariagraziaWe discuss a framework to obtain temporal predictions for an evolving spatial field regularly sampled in time at arbitrary spatial locations. Difficulties caused by large data sets and the modelling of complicated spatio-temporal interactions limit the effectiveness of traditional space-time statistical models. In this study, we propose the use of a flexible approach to deal with large and small time-scale … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,181 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVAR-models for Predicting BiodiversityTonio D. Bettista, S. A. Gattone, Mariagrzia GranturcoThe aim of this work is to introduce a methodology for monitoring diversity of a biological population by using the tool of diversity profiles. In particular, we develop a theory for studying the diversity profile along the temporal axis. We propose forecasting techniques for diversity profile by using the VAR model on multivariate time series of abundance vector and ARMA … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,175 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTesting VaR Accuracy for CDS Portfolios Using Historical Simulation and Delta-Normal ModelsViviane Y. NaimyThis paper studies the accuracy of the VaR using the Delta-Normal and Historical approaches in measuring the risk of CDS portfolios in three different zones, US, Europe and Asia, for the period March 2013-November 2015. The portfolios consist exclusively of CDS of high rated banks and financial institutions. We found that at the 95% confidence level both approaches were accurate … …Journal of Mathematics and Statistics, Vol. 12, Issue 2 · 16 Apr 2016 · 7,499 accessesView PDFCite
Research ArticleOpen accessIn the abstractModelling the Error Term of Australia Gross Domestic ProductAyodele Abraham Agboluaje, Suzilah Ismail, Chee Yin YipThe main aim of this study is to model the Gross Domestic Product (GDP) with the new Combine White Noise (CWN) Model and compare the results with the Vector Autoregressive (VAR) Model and Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) Model which are the existing models. The CWN model estimation yields best results with least information criteria and high log likelihood … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 2 Nov 2016 · 6,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation of Causality between Advertising and Operating Activity: Macro and Micro Evidence from JapanKosei FukudaThe relationship between advertising and operating activity is one of the topical issues in marketing and economic research. However, micro data have not been analyzed. In this paper, causality between them is empirically examined by using macro and micro data and applying four models-conventional Vector Autoregressive (VAR) model, vector error correction model, homogeneous parameter panel VAR model and heterogeneous parameter … …American Journal of Economics and Business Administration, Vol. 7, Issue 1 · 29 May 2015 · 6,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling Tourist Arrivals Using Time Series Analysis: Evidence From AustraliaGurudeo AnandTularam, Victor Siew Howe Wong, Seyed AbdelhamidShobeiriNejadAustralian tourism has a logistic trend as Butler’s model shows. The stagnation has not been reached so opportunities exist to increase tourism. The logistic model predicts 7.2 million tourists in 2015 but time series models of ARIMA and VAR improve the prediction and explain the data. The ARIMA (2, 2, 2) fits well while the VAR lead to Granger causalities … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 10 Sep 2012 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Analysis: Business Cycles and Inward FDI in ChinaQiyun Fang, Yao LiuIt is well-known that the current speeding-up of globalization has been, on one hand, spreading macro economic effects around the world, while, on the other, fueling firms' activities of crossing national borders. Then, are there any links between these two influences? In this paper, we chose China as our subject, to try to clarify it. A set of models for … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn vitro Effects of Beet Root Juice on Stimulated and Unstimulated Peripheral Blood Mononuclear CellsChristiana Winkler, Barbara Wirleitner, Katharina Schroecksnadel et al.Intake of fruits and vegetables rich in antioxidants is suggested to reduce the incidence of cancer and coronary heart disease in humans. Exceptional antioxidant activity of beet root extracts has been reported. Likewise in animal models, e.g., extracts of red beetroot Beta vulgaris var. rubra revealed significant tumor inhibitory effects. Red beetroot concentrate is universally permitted as a food ingredient. … …American Journal of Biochemistry and Biotechnology, Vol. 1, Issue 4 · 31 Dec 2005 · 9,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Fund Risk Management by Using New Software Tools TechnologyStephanos Papadamou, George StephanidesThis paper introduces a new MATLAB-based toolbox for Computer Aided mutual fund risk evaluation. In the age of computerized trading, financial services companies and independent investors must quickly investigate fund investment style and market risk. The Fund Risk toolbox is a financial software that includes a set of functions based on value at risk (VaR) and expected tail loss (ETL) … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 6,817 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordESTIMATING LOSS SEVERITY DISTRIBUTION: CONVOLUTION APPROACHRo J. PakFinancial loss can be classified into two types such as expected loss and unexpected loss. A current definition seeks to separate two losses from a total loss. In this article, however, we redefine a total loss as the sum of expected and unexpended losses; then the distribution of loss can be considered as the convolution of the distributions of both … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 2 May 2014 · 6,896 accessesView PDFCite