One of the more efficient methods to hedge portfolios of securities whose put options are not traded is to use stock in-dex options. We use the mean-extended Gini (MEG) model to derive the optimal hedge ratios for stock index options. We calculate the MEG ratios for some main stocks traded on the Tel Aviv Stock Exchange and compare them to the minimum-variance hedge ratios. Computed for specific values of risk aversion, MEG hedge ratios combine systematic risk with basis risk. Our results show that increasing the risk aversion used in the computation reduces the size of the hedge ratio, implying that less put options are needed to hedge away each and every security
In this thesis we search for optimal hedging strategy in stock index futures markets by providing a ...
Unfortunately, the hedging effectiveness of the GNMA futures market has been diminished by a lack of...
Assuming elliptical return distributions, we prove that minimum lower partial moments hedge ratios (...
One of the more efficient methods to hedge portfolios of securities whose put options are not traded...
The use of futures contracts as hedging instruments to reduce risk has been the focus of much resear...
This thesis presents a mixed risk-return optimization framework for selecting long put option positi...
This paper studies the risk hedging between stock index and underlying futures. The hedging ratios a...
This paper evaluates the empirical properties of the mean-Gini (MG) and the mean-extended Gini (MEG)...
This paper presents the Mean-Gini (MG) approach to analyze risky prospects and construct optimum por...
In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and it...
Throughout research literature on hedging with futures, a number of techniques to estimate the optim...
[[abstract]]In this study, the risk hedge between the Morgan Stanley Taiwan stock index (MSTI) and i...
This thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University...
This thesis presents three alternative methods to estimate the optimal hedge ratio. These methods ar...
We propose a novel non-structural method for hedging European options, relying on two model-independ...
In this thesis we search for optimal hedging strategy in stock index futures markets by providing a ...
Unfortunately, the hedging effectiveness of the GNMA futures market has been diminished by a lack of...
Assuming elliptical return distributions, we prove that minimum lower partial moments hedge ratios (...
One of the more efficient methods to hedge portfolios of securities whose put options are not traded...
The use of futures contracts as hedging instruments to reduce risk has been the focus of much resear...
This thesis presents a mixed risk-return optimization framework for selecting long put option positi...
This paper studies the risk hedging between stock index and underlying futures. The hedging ratios a...
This paper evaluates the empirical properties of the mean-Gini (MG) and the mean-extended Gini (MEG)...
This paper presents the Mean-Gini (MG) approach to analyze risky prospects and construct optimum por...
In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and it...
Throughout research literature on hedging with futures, a number of techniques to estimate the optim...
[[abstract]]In this study, the risk hedge between the Morgan Stanley Taiwan stock index (MSTI) and i...
This thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University...
This thesis presents three alternative methods to estimate the optimal hedge ratio. These methods ar...
We propose a novel non-structural method for hedging European options, relying on two model-independ...
In this thesis we search for optimal hedging strategy in stock index futures markets by providing a ...
Unfortunately, the hedging effectiveness of the GNMA futures market has been diminished by a lack of...
Assuming elliptical return distributions, we prove that minimum lower partial moments hedge ratios (...