contain the quering, reporting, online analytical processing (OLAP), statistical analysis and forecasting. ALSO company has … it. Also they are not using sales forecasting methods and for this reason their forecasts are not accurate. So applying … Business Intelligence Technologies and forecasting methods are the best solutions to solve these problems. The goal of this …

apyvartinio kapitalo valdymo problemos bei atliktas nustatytų dydžių prognozavimas ir pateikti siūlymai, kaip tobulinti pinigų …

. The ways of estimating the accommodation market demand and forecasting methods are analyzed too. Accommodation demand is …

models (GARCH), which are widely used for forecasting non - stationary time series. GARCH methodology was discussed and non … forecasting model suitability for the analysed data. In the second part of the paper using discussed non - stationary time series … analysis methods stock exchange index volatility tendencies were explored, the best suited mathematical forecasting models were …

, Euro zone and 4 EU countries and to identify the most appropriate forecasting ARIMA model for each time series. First, the … most appropriate ARIMA forecasting model of each time series are identified in the study. Practical investigation is … finalized with the comparison of PPI forecasting models of investigated countries. It has been identified that Austrian ARIMA …

Currency exchange rate forecasting is a subject that concerns many parties that participate in foreign exchange market … significant variance equation coefficient and the lowest Schwartz Criterion value were selected for forecasting. One-step ahead …, out-of-sample forecasting was carried out for USD/EUR and GBP/JPY currency pairs. Forecasting results show that GARCH …

and forecasting processes. The current situation was analyzed: flow and timescale of gas accounting and control process …, importance of gas consumption forecasting, practices of telemetry data use. There were identified problems of two processes: the … gas accounting and control, and forecasting. Existing solutions for each problem were examined. Analyzed what the cost …

the effectiveness of a macro environment analysis, forecasting and investment prospects. Research methodology - examine …

Numerous econometric models have been proposed for forecasting property market performance, but limited success has …

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … pseudo out-of-sample forecasting exercise with US real-time data yields that the mixed frequency VAR substantially improves … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon …