Style Analysis and Value at Risk of Asia-Focused Hedge Funds

2009 ◽  
Author(s):  
Haijie Weng ◽  
Stefan Trueck
Keyword(s):  
At Risk ◽  
Hedge Funds ◽  
Value At Risk ◽  
Style Analysis

Style analysis and Value-at-Risk of Asia-focused hedge funds

2011 ◽  
Vol 19 (5) ◽  
pp. 491-510 ◽  
Author(s):  
Haijie Weng ◽  
Stefan Trück
Keyword(s):  
At Risk ◽  
Hedge Funds ◽  
Value At Risk ◽  
Style Analysis

scholarly journals Return Based Risk Measures for Non-Normally Distributed Returns: An Alternative Modelling Approach

2021 ◽  
Vol 14 (11) ◽  
pp. 540
Author(s):  
Eyden Samunderu ◽  
Yvonne T. Murahwa
Keyword(s):  
At Risk ◽  
Normal Distribution ◽  
Hedge Funds ◽  
Value At Risk ◽  
Financial Risk ◽  
Risk Measures ◽  
Risk Measure ◽  
Extensive Literature ◽  
Data Set ◽  
Normally Distributed

Developments in the world of finance have led the authors to assess the adequacy of using the normal distribution assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence, this paper attempts to analyse statistical properties of various risk measures in a not normal distribution and provide a financial blueprint on how to manage risk. It is assumed that using old assumptions of normality alone in a distribution is not as accurate, which has led to the use of models that do not give accurate risk measures. Our empirical design of study firstly examined an overview of the use of returns in measuring risk and an assessment of the current financial environment. As an alternative to conventional measures, our paper employs a mosaic of risk techniques in order to ascertain the fact that there is no one universal risk measure. The next step involved looking at the current risk proxy measures adopted, such as the Gaussian-based, value at risk (VaR) measure. Furthermore, the authors analysed multiple alternative approaches that do not take into account the normality assumption, such as other variations of VaR, as well as econometric models that can be used in risk measurement and forecasting. Value at risk (VaR) is a widely used measure of financial risk, which provides a way of quantifying and managing the risk of a portfolio. Arguably, VaR represents the most important tool for evaluating market risk as one of the several threats to the global financial system. Upon carrying out an extensive literature review, a data set was applied which was composed of three main asset classes: bonds, equities and hedge funds. The first part was to determine to what extent returns are not normally distributed. After testing the hypothesis, it was found that the majority of returns are not normally distributed but instead exhibit skewness and kurtosis greater or less than three. The study then applied various VaR methods to measure risk in order to determine the most efficient ones. Different timelines were used to carry out stressed value at risks, and it was seen that during periods of crisis, the volatility of asset returns was higher. The other steps that followed examined the relationship of the variables, correlation tests and time series analysis conducted and led to the forecasting of the returns. It was noted that these methods could not be used in isolation. We adopted the use of a mosaic of all the methods from the VaR measures, which included studying the behaviour and relation of assets with each other. Furthermore, we also examined the environment as a whole, then applied forecasting models to accurately value returns; this gave a much more accurate and relevant risk measure as compared to the initial assumption of normality.

Mean-Modified Value-at-Risk Optimization with Hedge Funds

2002 ◽  
Vol 5 (2) ◽  
pp. 21-25 ◽  
Author(s):  
Laurent Favre ◽  
José-Antonio Galeano
Keyword(s):  
At Risk ◽  
Hedge Funds ◽  
Value At Risk ◽  
Risk Optimization

MEASURING THE MARKET RISK OF FREIGHT RATES: A VALUE-AT-RISK APPROACH

2008 ◽  
Vol 11 (05) ◽  
pp. 447-469 ◽  
Author(s):  
TIMOTHEOS ANGELIDIS ◽  
GEORGE SKIADOPOULOS
Keyword(s):  
At Risk ◽  
Hedge Funds ◽  
Value At Risk ◽  
Statistical Tests ◽  
Market Risk ◽  
Freight Rate ◽  
Freight Rates ◽  
Rate Risk ◽  
Risk Approach ◽  
Non Parametric

The fluctuation of shipping freight rates (freight rate risk) is an important source of market risk for all participants in the freight markets including hedge funds, commodity and energy producers. We measure the freight rate risk by the Value-at-Risk (VaR) approach. A range of parametric and non-parametric VaR methods is applied to various popular freight markets for dry and wet cargoes. Backtesting is conducted in two stages by means of statistical tests and a subjective loss function that uses the Expected Shortfall, respectively. We find that the simplest non-parametric methods should be used to measure freight rate risk. In addition, freight rate risk is greater in the wet cargoes markets. The margins in the growing freight derivatives markets should be set accordingly.

scholarly journals Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach

2014 ◽  
Vol 49 (3) ◽  
pp. 575-598 ◽  
Author(s):  
Zeno Adams ◽  
Roland Füss ◽  
Reint Gropp
Keyword(s):  
At Risk ◽  
Financial Institutions ◽  
Hedge Funds ◽  
Commercial Banks ◽  
Value At Risk ◽  
Spillover Effects ◽  
Investment Banks ◽  
Insurance Companies ◽  
State Dependent ◽  
Risk Approach

AbstractIn this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). For four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies), we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions.

Extremwerttheorie und Value-at-Risk

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

Value at Risk

Controlling ◽  
2004 ◽  
Vol 16 (7) ◽  
pp. 425-426
Author(s):  
Mischa Seiter ◽  
Sven Eckert
Keyword(s):  
At Risk ◽  
Value At Risk
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