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Statements

Subject Item
n2:RIV%2F61989100%3A27510%2F09%3A00020648%21RIV10-GA0-27510___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
Measurement, analysis, planning of company and sector financial performance is undoubtedly one of crucial instrument and problem of financial managing. There are methodologies of financial performance described and verified in the paper. Calculation and decomposition of EVA measure is described according to relative value spread approach. Typology of stochastic processes and methods of statistical estimation of parameters are explained. Since EVA measure is decomposed by pyramidal method as non-linear function of financial ratios, forecasting is carry out by Monte-Carlo simulation procedure due to Choleski algorithm. Verification of EVA on monthly data of the machinery company was investigated and particular case study of EVA measure prediction is explained. Stochastic processes of Arithmetic or Geometric mean reversion processes are estimated by Mean Square Estimation method. Simulation Monte Carlo method is applied and presented including graphical representation. Parameters (mean, median, Measurement, analysis, planning of company and sector financial performance is undoubtedly one of crucial instrument and problem of financial managing. There are methodologies of financial performance described and verified in the paper. Calculation and decomposition of EVA measure is described according to relative value spread approach. Typology of stochastic processes and methods of statistical estimation of parameters are explained. Since EVA measure is decomposed by pyramidal method as non-linear function of financial ratios, forecasting is carry out by Monte-Carlo simulation procedure due to Choleski algorithm. Verification of EVA on monthly data of the machinery company was investigated and particular case study of EVA measure prediction is explained. Stochastic processes of Arithmetic or Geometric mean reversion processes are estimated by Mean Square Estimation method. Simulation Monte Carlo method is applied and presented including graphical representation. Parameters (mean, median,
dcterms:title
Company financial performance prediction on economic value added measure by simulation methodology Company financial performance prediction on economic value added measure by simulation methodology
skos:prefLabel
Company financial performance prediction on economic value added measure by simulation methodology Company financial performance prediction on economic value added measure by simulation methodology
skos:notation
RIV/61989100:27510/09:00020648!RIV10-GA0-27510___
n3:aktivita
n15:P
n3:aktivity
P(GA402/08/1234)
n3:dodaniDat
n6:2010
n3:domaciTvurceVysledku
n8:2925494 n8:5696879
n3:druhVysledku
n20:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
307631
n3:idVysledku
RIV/61989100:27510/09:00020648
n3:jazykVysledku
n19:eng
n3:klicovaSlova
economic value added; prediction; mean-reversion process; Monte-Carlo simulation
n3:klicoveSlovo
n10:Monte-Carlo%20simulation n10:economic%20value%20added n10:mean-reversion%20process n10:prediction
n3:kontrolniKodProRIV
[783FF55301A6]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Mathematical Methods in Economics 2009
n3:obor
n11:AH
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GA402%2F08%2F1234
n3:rokUplatneniVysledku
n6:2009
n3:tvurceVysledku
Zmeškal, Zdeněk Dluhošová, Dana
n3:typAkce
n13:WRD
n3:wos
000275146900064
n3:zahajeniAkce
2009-09-09+02:00
s:numberOfPages
7
n16:hasPublisher
Czech University of Life Science in Prague
n17:isbn
978-80-213-1963-9
n12:organizacniJednotka
27510