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This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a...
Persistent link: https://www.econbiz.de/10011662511
This paper features an analysis of the relationship between the S&P 500 Index and the VIX using daily data obtained from the CBOE website and SIRCA (The Securities Industry Research Centre of the Asia Pacific). We explore the relationship between the S&P 500 daily return series and a similar...
Persistent link: https://www.econbiz.de/10011843238
Risk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is the expansion of financial deriva-tives. The purpose of this special issue on “Risk Management and Financial Deriva-tives” is to highlight some areas in which novel...
Persistent link: https://www.econbiz.de/10010907433
This paper features an analysis of the relationship between the S&P 500 Index and the VIX using daily data obtained from the CBOE website and SIRCA (The Securities Industry Research Centre of the Asia Pacific). We explore the relationship between the S&P 500 daily return series and a similar...
Persistent link: https://www.econbiz.de/10011555743
This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a...
Persistent link: https://www.econbiz.de/10011587620
In 2003, the Chicago Board Options Exchange (CBOE) made two key enhancements to the volatility index (VIX) methodology based on Samp;P options. The new VIX methodology seems to be based on a complicated formula to calculate expected volatility. In this paper, with the use of Thailand's SET50...
Persistent link: https://www.econbiz.de/10012718595
Credit risk models should reflect the observation that the relevant value of collateral is generally not the average value of the asset over all possible states of nature. In most cases, the relevant value of collateral for the lender is its secondary market value in bad states of nature, where...
Persistent link: https://www.econbiz.de/10011255398
See the publication in <I>Econometrics</I> (2013). Volume 1(1), pages 115-126.<P> The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations....</p></i>
Persistent link: https://www.econbiz.de/10011255860
The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the...
Persistent link: https://www.econbiz.de/10011256093
The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of...
Persistent link: https://www.econbiz.de/10011256460