Measuring the accuracy of quantitative prognostic methods and methods based on technical indicators in the field of tourism.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10241045" target="_blank" >RIV/61989100:27510/18:10241045 - isvavai.cz</a>

Výsledek na webu

<a href="http://acta.ujs.sk/wp-content/uploads/2018/09/acta-7-evfolyam-1-szam.pdf" target="_blank" >http://acta.ujs.sk/wp-content/uploads/2018/09/acta-7-evfolyam-1-szam.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Measuring the accuracy of quantitative prognostic methods and methods based on technical indicators in the field of tourism.

Popis výsledku v původním jazyce

Forecasts in the business economy play a key role. An economically performing business must have an idea of the future development of its assets. Prediction is based on the use of quantitative and qualitative methods. This paper deals only with the use of quantitative methods, namely Exponential smoothing, ARIMA. In business practice, however, there is often a need for simplicity of prognostic models, which ARIMA models often do not respond to. Therefore, a calculation experiment and the use of simple indicators of technical analysis to predict the occupancy of accommodation facilities in the Czech Republic was made in this appendix. The aim of the paper is to measure the accuracy of these models compared to exponential smoothing and ARIMA based on the ex post forecasting accuracy method.

Název v anglickém jazyce

Measuring the accuracy of quantitative prognostic methods and methods based on technical indicators in the field of tourism.

Popis výsledku anglicky

Forecasts in the business economy play a key role. An economically performing business must have an idea of the future development of its assets. Prediction is based on the use of quantitative and qualitative methods. This paper deals only with the use of quantitative methods, namely Exponential smoothing, ARIMA. In business practice, however, there is often a need for simplicity of prognostic models, which ARIMA models often do not respond to. Therefore, a calculation experiment and the use of simple indicators of technical analysis to predict the occupancy of accommodation facilities in the Czech Republic was made in this appendix. The aim of the paper is to measure the accuracy of these models compared to exponential smoothing and ARIMA based on the ex post forecasting accuracy method.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Oeconomica Universitatis Selye

ISSN

1338-6581

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

12

Strana od-do

58-70

Kód UT WoS článku

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EID výsledku v databázi Scopus

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