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One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...
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The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …
Persistent link: https://www.econbiz.de/10013149486
Using threshold autoregressive specifications, this paper extends the Enders and Granger (1998) framework for parametric tests of level asymmetry. In particular it develops bootstrap likelihood ratio statistics to test the symmetry null against sign and amplitude asymmetries or a combination of...
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We develop and implement methods for determining whether introducing new securities or relaxing investment constraints improves the investment opportunity set for prospect investors. We formulate a new testing procedure for prospect spanning for two nested portfolio sets based on subsampling and...
Persistent link: https://www.econbiz.de/10012219063
Aim/purpose - In this paper, a market volatility-robust portfolio composition framework under the modified Markowitz … financial instruments formulation procedure at an increased market volatility. Design/methodology/approach - In order to … two states, i.e., quiescent (non-crisis; low market volatility) periods that are occasionally interspersed with stress …
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theory to log periodogram regression and local Whittle estimation of the memory parameter are discussed and some modified …
Persistent link: https://www.econbiz.de/10014164678
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