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Mere tveganja, invariantne za verjetnostne porazdelitve : delo diplomskega seminarja
ID Blagotinšek, Regina (Author), ID Škulj, Damjan (Mentor) More about this mentor... This link opens in a new window

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Abstract
Diplomski seminar karakterizira koherentne mere tveganja, invariantne za verjetnostne porazdelitve. Mera tveganja je koherentna, če je monotona, translacijsko invariantna, subaditivna in pozitivno homogena. Če ima še lastnost invariantnost za verjetnostne porazdelitve, slučajnim spremenljivkam, ki so enako porazdeljene, priredi enako vrednost. Mere tveganja, invariantne za verjetnostne porazdelitve, so pomembno orodje pri merjenju in obvladovanju tveganja na finančnem področju. Pri vrednotenju tveganja lahko upoštevamo tudi posameznikove preference o tveganju, in sicer z uporabo mer spektralnega tveganja. V praksi je verjetnostna porazdelitev težko določljiva, in da upoštevamo to negotovost porazdelitve, lahko uporabimo mere tveganja za najslabši primer, ki določijo najvišjo možno stopnjo tveganja.

Language:Slovenian
Keywords:mera tveganja, koherentnost, invariantnost za verjetnostne porazdelitve, Fatoujeva lastnost, mera tvegane vrednosti, mera spektralnega tveganja, mera tveganja za najslabši primer
Work type:Bachelor thesis/paper
Organization:FMF - Faculty of Mathematics and Physics
Year:2023
PID:20.500.12556/RUL-148108 This link opens in a new window
UDC:519.8
COBISS.SI-ID:159891459 This link opens in a new window
Publication date in RUL:27.07.2023
Views:527
Downloads:33
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Secondary language

Language:English
Title:On law invariant risk measures
Abstract:
The seminar characterizes on law invariant coherent risk measures. A risk measure is coherent if it is monotone, translationally invariant, subadditive and positively homogeneous. If it is also law invariant, it assigns the same value to random variables that are identically distributed. Law invariant coherent risk measures are an important tool for measuring and managing risk in the financial sector. In risk assessment, we can also consider individual's risk preferences by using spectral risk measures. In most cases, it is difficult to determine the probability distribution. To avoid this uncertainty in the distribution, we can use worst case risk measures that determine the highest possible level of risk.

Keywords:risk measure, coherence, law invariance, Fatou property, Value-at- Risk, spectral risk measure, worst-case risk measure

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