Results 111 to 120 of about 248,583 (305)
Application of Value at Risk Model in Technological Investment Portfolio Management - A Case in Iranian Petroleum Industry [PDF]
بهبود مدیریت, 2011 Technology portfolio is a rather recent and popular approach in the literature of technology management. The problem of technology portfolio management is to find the appropriate distribution of capital & resources among a set of technologies, provides ...
Sayed Farhang Fasihi +2 more
doaj
Central bank´s value at risk and financial crises: An application to the 2001 Argentine crisis [PDF]
Blejer and Schumacher (1999) were the first to suggest that Central Bank’s Value at Risk (VaR), a widely used composite measure of potential portfolio losses in the corporate sector, could be used as an early warning indicator of financial crises.
Diego Nocetti
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Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
ESTIMATION OF VALUE AT RISK FOR GENERAL INSURANCE COMPANY STOCKS USING THE GARCH MODEL
BarekengInvestment plays a crucial role in supporting economic development by allocating funds to generate future profits. Among various investment options, stock investment is widely popular.
Edwin Setiawan Nugraha +3 more
doaj +1 more source
A value at risk analysis of cedit default swaps [PDF]
We investigate the risk of holding credit default swaps(CDS) in the trading book and compare the Value at Risk (VaR) of a CDS position to the VaR for investing in the respective firm’s equity using a sample of CDS – stock price pairs for 86 actively ...
Scheicher, Martin, Raunig, Burkhard
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Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Value-at-risk modeling and forecasting with range-based volatility models: empirical evidence
Revista Contabilidade & FinançasThis article considers range-based volatility modeling for identifying and forecasting conditional volatility models based on returns. It suggests the inclusion of range measuring, defined as the difference between the maximum and minimum price of an ...
Leandro dos Santos Maciel +1 more
doaj +1 more source
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology
Stylized facts on financial time series data are the volatility of returns that follow non-normal conditions such as leverage effects and heavier tails leading returns to have heavier magnitudes of extreme losses.
Cayton, Peter Julian A., Mapa, Dennis S.
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The Sign RCA Models: Comparing Predictive Accuracy of VaR Measures [PDF]
Evaluating Value at Risk (VaR) methods of predictive accuracy in an objective and effective framework is important for both efficient capital allocation and loss prediction.
Joanna Górka
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