The following paper is an additional element of the collective work “Decoding the Quality Factor”. The purpose of this additional paper is to create a "market neutral" portfolio that follows the risk parity strategy. This means an asset allocation that is based on the risk contribution of the individual assets to the total risk of the portfolio. For this purpose, we created proxies for global factor risk premia based on which we created the risk parity portfolio and a fixed weighted portfolio for comparison and additional two portfolios using factor indices to allow further comparisons. The findings from our analyses show that the use of risk parity strategy has a better risk-return ...
This article proposes a comparison of risk parity strategy versus other asset allocation methodologi...
According to Roncalli (2012), risk-parity “is largely used by institutional investors such as pensio...
In this study, we aimed to test the performance of risk parity portfolios against classically optimi...
Risk parity is an allocation method used to build diversified portfolios that does not rely on any a...
This thesis evaluates risk-based techniques by constructing five risk parity portfolios, Inverse Vol...
The aim of this thesis is to build different Risk Parity portfolios and thereby perform an out-of-sa...
This thesis investigates factor investing and risk parity methods by constructing seven risk parity ...
Since the early beginning of investing as it was commonly seen as a form of gambling for the rich an...
Risk parity is an asset allocation strategy that seeks to equalize the risk contributions of the con...
We propose a return based modification of the portfolio variance matrix for asset allocation using r...
Risk parity is an allocation method used to build diversified portfolios that does not rely on any a...
This paper formulates a relaxed risk parity optimization model to control the balance of risk parity...
Investor’s dilemma is: “How to earn the highest possible return with the lowest possible risk.” Yet,...
A recent popular approach to portfolio selection aims at diversifying risk by looking for the so cal...
This thesis finds evidence of the outperformance of the risk parity (RP) strategies in comparison to...
This article proposes a comparison of risk parity strategy versus other asset allocation methodologi...
According to Roncalli (2012), risk-parity “is largely used by institutional investors such as pensio...
In this study, we aimed to test the performance of risk parity portfolios against classically optimi...
Risk parity is an allocation method used to build diversified portfolios that does not rely on any a...
This thesis evaluates risk-based techniques by constructing five risk parity portfolios, Inverse Vol...
The aim of this thesis is to build different Risk Parity portfolios and thereby perform an out-of-sa...
This thesis investigates factor investing and risk parity methods by constructing seven risk parity ...
Since the early beginning of investing as it was commonly seen as a form of gambling for the rich an...
Risk parity is an asset allocation strategy that seeks to equalize the risk contributions of the con...
We propose a return based modification of the portfolio variance matrix for asset allocation using r...
Risk parity is an allocation method used to build diversified portfolios that does not rely on any a...
This paper formulates a relaxed risk parity optimization model to control the balance of risk parity...
Investor’s dilemma is: “How to earn the highest possible return with the lowest possible risk.” Yet,...
A recent popular approach to portfolio selection aims at diversifying risk by looking for the so cal...
This thesis finds evidence of the outperformance of the risk parity (RP) strategies in comparison to...
This article proposes a comparison of risk parity strategy versus other asset allocation methodologi...
According to Roncalli (2012), risk-parity “is largely used by institutional investors such as pensio...
In this study, we aimed to test the performance of risk parity portfolios against classically optimi...