scholarly journals A Class of its Own? The Role of Sustainable Real Estate in a Conditional Value at Risk Multi-Asset Portfolio

2014 ◽  
Author(s):  
Peter Geiger ◽  
Marcelo Cajias ◽  
Franz Fuerst
2014 ◽  
Vol 16 (2) ◽  
pp. 103-125 ◽  
Author(s):  
Sri Ayomi ◽  
Bambang Hermanto

This paper measures the insolvency risk of bank in Indonesia. We apply Merton model to identify the probability of defaul tover 30 banks during the period of 2002-2013. This paper also identify role of financial linkage a cross banks on transmitting from one bank to another; which enable us to assess if the risk is systemic or not. The results showed the larger total asset of the bank, the larger they contribute to systemic risk. Keywords : Conditional Value at Risk; Probability of Default; systemic risk and financial linkages;Value at Risk. JEL Classification: D81, G21, G33


2011 ◽  
Vol 204-210 ◽  
pp. 537-540
Author(s):  
Yu Ling Wang ◽  
Jun Hai Ma ◽  
Yu Hua Xu

Mean-variance model, value at risk and Conditional Value at Risk are three chief methods to measure financial risk recently. The demonstrative research shows that three optional questions are equivalence when the security rates have a multivariate normal distribution and the given confidence level is more than a special value. Applications to real data provide empirical support to this methodology. This result has provided new methods for us about further research of risk portfolios.


2021 ◽  
Vol 67 (No. 2) ◽  
pp. 60-69
Author(s):  
Dejan Živkov ◽  
Petra Balaban ◽  
Boris Kuzman

This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.


2014 ◽  
Vol 16 (2) ◽  
pp. 91-114
Author(s):  
Sri Ayomi ◽  
Bambang Hermanto

This paper measures the insolvency risk of bank in Indonesia. We apply Merton model to identify the probability of defaul tover 30 banks during the period of 2002-2013. This paper also identify role of financial linkage a cross banks on transmitting from one bank to another; which enable us to assess if the risk is systemic or not. The results showed the larger total asset of the bank, the larger they contribute to systemic risk. Keywords : Conditional Value at Risk; Probability of Default; systemic risk and financial linkages;Value at Risk.JEL Classification: D81, G21, G33


2014 ◽  
Vol 16 (6) ◽  
pp. 3-29 ◽  
Author(s):  
Samuel Drapeau ◽  
Michael Kupper ◽  
Antonis Papapantoleon

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