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Title:UVEDBA PROGRAMSKEGA PAKETA R V PROCES NADZORA NAD TVEGANJI
Authors:ID Praprotnik, Marko (Author)
ID Werber, Borut (Mentor) More about this mentor... New window
ID Žnidaršič Mohorič, Anja (Comentor)
Files:.pdf UN_Praprotnik_Marko_2015.pdf (990,16 KB)
MD5: B36015FBF2E2AC5B7408AA4F370CDD3B
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Finančni svet je zelo nepredvidljiv, zato se neprestano srečujemo s tveganjem. Varčevanje v vzajemnih skladih je postalo priljubljena oblika varčevanja. Agencija za trg vrednostnih papirjev določa, kako naj družbe za upravljanje dnevno preverjajo tveganost podskladov. S kazalci tveganja merimo celotno tveganje, sistematično tveganje in uspešnost upravljanja. Skupaj z grafi tvorijo temelj dnevnega poročila o upravljanju tveganj. V diplomskem delu smo preverjali ustreznost programskega paketa R za izračun kazalcev tveganja. V prvi polovici smo spoznavali teoretične osnove, medtem ko smo v drugi spoznavali programski paket R. V zadnjem delu smo podrobno opisali programski modul za izračun kazalcev tveganja. Zaključek temelji na ugotovitvi, da je R primerno orodje za podatkovno analizo.
Keywords:tveganje, donosnost, tvegana vrednost VaR, verjetnost
Place of publishing:Maribor
Year of publishing:2015
PID:20.500.12556/DKUM-47776 New window
COBISS.SI-ID:7435027 New window
NUK URN:URN:SI:UM:DK:9AV81GM5
Publication date in DKUM:27.05.2015
Views:1709
Downloads:155
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Secondary language

Language:English
Title:INTRODUCTION OF R INTO RISK MANAGEMENT PROCESS
Abstract:The financial world is very unpredictable, thus we are facing risk all the time. Saving in mutual funds has become a popular saving form. The Securities Market Agency defines how investment management companies should daily test the risk of mutual funds. We measure overall risk, systematic risk and investment performance with risk indicators. Together with charts they are the foundation of daily risk management report. In this thesis we have tested if the software package is suitable for risk indicator computation. In the first section the theoretical basis has been presented; meanwhile in the second part the software package R has been analyzed. The last chapter provides description of the computational risk indicator software module. The final part is grounded on the finding that R is a suitable tool for data analysis.
Keywords:risk, return, Value At Risk, probability


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