Volatility Forecasts and Value at Risk Evaluation for the MSCI North America Index

Author(s):  
Momtchil Pojarliev ◽  
Wolfgang Polasek
2020 ◽  
pp. 161-177
Author(s):  
Paul Weirich

In finance, a common way of evaluating an investment uses the investment’s expected return and the investment’s risk, in the sense of the investment’s volatility, or exposure to chance. A version of this method derives from a general mean-risk evaluation of acts, under the assumption that only money, risk, and their sources matter. Although the method does not require a measure of risk, finance investigates measures of risks to assist evaluations of risks. An investment creates possible returns, and the variance of the probability distribution of their utilities is a measure of the investment’s risk. This measure neglects some factors affecting an investment’s risk, and so is satisfactory only in special cases. Another measure of risk is known as value-at-risk, or VAR. It also neglects some factors affecting an investment’s risk, and so should be restricted to special cases.


2009 ◽  
Vol 54 (183) ◽  
pp. 119-138 ◽  
Author(s):  
Milica Obadovic ◽  
Mirjana Obadovic

This paper presents market risk evaluation for a portfolio consisting of shares that are continuously traded on the Belgrade Stock Exchange, by applying the Value-at-Risk model - the analytical method. It describes the manner of analytical method application and compares the results obtained by implementing this method at different confidence levels. Method verification was carried out on the basis of the failure rate that demonstrated the confidence level for which this method was acceptable in view of the given conditions.


2018 ◽  
Vol 979 ◽  
pp. 012094 ◽  
Author(s):  
Dedy Dwi Prastyo ◽  
Dwi Handayani ◽  
Soo-Fen Fam ◽  
Santi Puteri Rahayu ◽  
Suhartono ◽  
...  

2013 ◽  
Vol 416-417 ◽  
pp. 1914-1919
Author(s):  
Bao Fa Liu ◽  
Shang Hai Liu

Because the petroleum production is larger investment, higher risk, and the traditional risk evaluation tools usually gave an evaluated value only, which being not in accord with the actual, the paper introduces the ideas of Value at Risk into the Human Errors (HEs) quantification for the petroleum operation, and develops the the model of Human Errors at Risk (HEaR) to quantify the HEs. The model can in detail depict the actual risk statuses of production system under different risk conditions.


2014 ◽  
Author(s):  
Chin Wen Cheong ◽  
Zaidi Isa ◽  
Khor Chia Ying ◽  
Ng Sew Lai

2015 ◽  
Vol 44 (5) ◽  
pp. 259-267
Author(s):  
Frank Schuhmacher ◽  
Benjamin R. Auer
Keyword(s):  
At Risk ◽  

Sign in / Sign up

Export Citation Format

Share Document