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Numerical standard error (NSE) is an estimate of the standard deviation of a simulation result if the simulation experiment were to be repeated many times. We review standard methods for computing NSE, and perform a Monte Carlo experiments to compare their performance in the case of high/extreme...
Persistent link: https://www.econbiz.de/10012936424
(1991), Andrews and Monahan (1992), Newey and West (1994), Hirukawa (2010), and bootstrap estimators Politis and Romano …
Persistent link: https://www.econbiz.de/10012934739
RiskPortfolios is an R package for constructing risk-based portfolios. It provides a set of functionalities to build mean-variance, minimum variance, inverse-volatility weighted (Leote De Carvalho, Lu, and Moulin (2012)), equal-risk-contribution (Maillard, Roncalli, and Teïletche (2010)),...
Persistent link: https://www.econbiz.de/10012963897
innovations and the linear regression models with conditionally Normal and Student-t-GJR errors. For these models, we compare the …
Persistent link: https://www.econbiz.de/10013156202
We provide general expressions for obtaining raw, absolute and conditional moments for a standardized version of the class of skewed distributions proposed by Fernandez and Steel (1998). We show that these expressions are readily programmable in addition of greatly reducing the computational...
Persistent link: https://www.econbiz.de/10012971096
The equal-risk-contribution, inverse-volatility weighted, maximum-diversification and minimum-variance portfolio weights are all direct functions of the estimated covariance matrix. We perform a Monte Carlo study to assess the impact of covariance matrix misspecification to these risk-based...
Persistent link: https://www.econbiz.de/10012971143
the block-bootstrap test of ES violations of Jalal and Rockinger (2008). Using the false discovery rate methodology of …
Persistent link: https://www.econbiz.de/10010326343
A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken 'directly' from the observed data. The procedure is useful when one wants to summarize the test results for several time...
Persistent link: https://www.econbiz.de/10010377229
A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken "directly" from the observed data. The procedure is useful when one wants to summarize the test results for several time...
Persistent link: https://www.econbiz.de/10010250513
There is extensive empirical evidence that funds of hedge funds (FoHFs) quickly change their investment bets as a function of the changing market conditions. In this chapter, we first analyze the stability of risk exposure and performance of FoHFs during the period January 2005-June 2011. We...
Persistent link: https://www.econbiz.de/10013089402