Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Information approach to the risk evaluation of the intellectual assets portfolio. / Voronov, Victor S.; Kazansky, Alexander V.; Darushin, Ivan A.
Proceedings of the 30th International Business Information Management Association Conference, IBIMA 2017 - Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth. ред. / Khalid S. Soliman. Том 2017-January IBIMA, 2017. стр. 2473-2480.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Information approach to the risk evaluation of the intellectual assets portfolio
AU - Voronov, Victor S.
AU - Kazansky, Alexander V.
AU - Darushin, Ivan A.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The article is devoted to the adaptation of VaR (EaR) method for the risk evaluation of intellectual assets (digital images) portfolio. We consider this method as the case of dynamic metadata analysis. The distribution of portfolio earnings random variables in a long period is investigated giving the peculiarities of market sales mechanism of this asset class. Information on sales statistics across the assets in portfolio analyzed for the first time. The hypothesis on earnings normal distribution was approved with the aid of data time scaling. Risk metrics calculated with the historical simulation method were approved by additional evaluations with the Monte Carlo methods. The adapted methodology allows to rather accurately performing dynamic quantitative portfolio risk analysis applying different time horizons with required confidence probability.
AB - The article is devoted to the adaptation of VaR (EaR) method for the risk evaluation of intellectual assets (digital images) portfolio. We consider this method as the case of dynamic metadata analysis. The distribution of portfolio earnings random variables in a long period is investigated giving the peculiarities of market sales mechanism of this asset class. Information on sales statistics across the assets in portfolio analyzed for the first time. The hypothesis on earnings normal distribution was approved with the aid of data time scaling. Risk metrics calculated with the historical simulation method were approved by additional evaluations with the Monte Carlo methods. The adapted methodology allows to rather accurately performing dynamic quantitative portfolio risk analysis applying different time horizons with required confidence probability.
KW - Copyright asset
KW - Intellectual assets portfolio
KW - Risk
KW - Stochastic simulation
UR - http://www.scopus.com/inward/record.url?scp=85048684883&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85048684883
VL - 2017-January
SP - 2473
EP - 2480
BT - Proceedings of the 30th International Business Information Management Association Conference, IBIMA 2017 - Vision 2020
A2 - Soliman, Khalid S.
PB - IBIMA
T2 - 30th International Business Information Management Association Conference - Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth, IBIMA 2017
Y2 - 8 November 2017 through 9 November 2017
ER -
ID: 36441611