916 resultados para Return predictability
Resumo:
It is widely accepted that equity return volatility increases more following negative shocks rather than positive shocks. However, much of value-at-risk (VaR) analysis relies on the assumption that returns are normally distributed (a symmetric distribution). This article considers the effect of asymmetries on the evaluation and accuracy of VaR by comparing estimates based on various models.
Resumo:
Investment risk models with infinite variance provide a better description of distributions of individual property returns in the IPD database over the period 1981 to 2003 than Normally distributed risk models, which mirrors results in the U.S. and Australia using identical methodology. Real estate investment risk is heteroscedastic, but the Characteristic Exponent of the investment risk function is constant across time yet may vary by property type. Asset diversification is far less effective at reducing the impact of non-systematic investment risk on real estate portfolios than in the case of assets with Normally distributed investment risk. Multi-risk factor portfolio allocation models based on measures of investment codependence from finite-variance statistics are ineffectual in the real estate context.
Resumo:
Booth and Fama (1992) observe that the compound return and so the terminal wealth of a portfolio is greater than the weighted average of the compound returns of the individual investments, a difference referred to as the return due to diversification (RDD). Thus assets that offer high RDD should be particularly attractive investments. This paper test the proposition that US direct real estate is such an asset class using annual data over the period 1951-2001. The results show that adding real estate to an existing mixed-asset portfolio increases the compound return and so the terminal wealth of the fund. However, the results are dependent on the percentage allocation to real estate and the asset class replaced.
Resumo:
In 1999, Elizabeth Hills pointed up the challenges that physically active women on film still posed, in cultural terms, and in relation to certain branches of feminist theory . Since then, a remarkable number of emphatically active female heroes have appeared on screen, from 'Charlie’s Angels' to 'Resident Evil', 'Aeon Flux', and the 'Matrix' and 'X-Men' trilogies. Nevertheless, in a contemporary Western culture frequently characterised as postfeminist, these seem to be the ‘acceptable face’ – and body – of female empowerment: predominantly white, heterosexual, often scantily clad, with the traditional hero’s toughness and resolve re-imagined in terms of gender-biased notions of decorum: grace and dignity alongside perfect hair and make-up, and a body that does not display unsightly markers of physical exertion. The homogeneity of these representations is worth investigating in relation to critical claims that valorise such air-brushed, high-kicking 'action babes' for their combination of sexiness and strength, and the feminist and postfeminist discourses that are refracted through such readings. Indeed, this arguably ‘safe’ set of depictions, dovetailing so neatly with certain postfeminist notions of ‘having it all’, suppresses particular kinds of spectacles in relation to the active female body: images of physical stress and extension, biological consequences of violence and dangerous motivations are all absent. I argue that the untidy female exertions refused in popular “action babe” representations are now erupting into view in a number of other contemporaneous movies – 'Kill Bill' Vols 1 & 2, 'Monster', and 'Hard Candy' – that mark the return of that which is repressed in the mainstream vision of female power – that is, a more viscerally realistic physicality, rage and aggression. As such, these films engage directly with the issue of how to represent violent female agency. This chapter explores what is at stake at a representational level and in terms of spectatorial processes of identification in the return of this particularly visceral rendering of the female avenger.
Resumo:
The final warming of the stratospheric polar vortex at the end of northern hemisphere winter is examined in ECMWF ERA-Interim reanalysis data and an ensemble of chemistry climate models, using 20 years of data from each. In some years the final warming is found to occur first in the mid-stratosphere, and in others to occur first in the upper stratosphere. The strength of the winter stratospheric polar vortex, refraction of planetary waves, and the altitudes at which the planetary waves break in the northern extratropics lead to this difference in the vertical profile of the final warming. Years in which the final warming occurs first in the mid-stratosphere show, on average, a more negative NAO pattern in April mean sea level pressure than years in which the warming occurs first in the upper stratosphere. Thus, in the northern hemisphere, additional predictive skill of tropospheric climate in April can be gained from a knowledge of the vertical profile of the stratospheric final warming.
Resumo:
The initial condition effect on climate prediction skill over a 2-year hindcast time-scale has been assessed from ensemble HadCM3 climate model runs using anomaly initialization over the period 1990–2001, and making comparisons with runs without initialization (equivalent to climatological conditions), and to anomaly persistence. It is shown that the assimilation improves the prediction skill in the first year globally, and in a number of limited areas out into the second year. Skill in hindcasting surface air temperature anomalies is most marked over ocean areas, and is coincident with areas of high sea surface temperature and ocean heat content skill. Skill improvement over land areas is much more limited but is still detectable in some cases. We found little difference in the skill of hindcasts using three different sets of ocean initial conditions, and we obtained the best results by combining these to form a grand ensemble hindcast set. Results are also compared with the idealized predictability studies of Collins (Clim. Dynam. 2002; 19: 671–692), which used the same model. The maximum lead time for which initialization gives enhanced skill over runs without initialization varies in different regions but is very similar to lead times found in the idealized studies, therefore strongly supporting the process representation in the model as well as its use for operational predictions. The limited 12-year period of the study, however, means that the regional details of model skill should probably be further assessed under a wider range of observational conditions.
Resumo:
In this paper sequential importance sampling is used to assess the impact of observations on a ensemble prediction for the decadal path transitions of the Kuroshio Extension (KE). This particle filtering approach gives access to the probability density of the state vector, which allows us to determine the predictive power — an entropy based measure — of the ensemble prediction. The proposed set-up makes use of an ensemble that, at each time, samples the climatological probability distribution. Then, in a post-processing step, the impact of different sets of observations is measured by the increase in predictive power of the ensemble over the climatological signal during one-year. The method is applied in an identical-twin experiment for the Kuroshio Extension using a reduced-gravity shallow water model. We investigate the impact of assimilating velocity observations from different locations during the elongated and the contracted meandering state of the KE. Optimal observations location correspond to regions with strong potential vorticity gradients. For the elongated state the optimal location is in the first meander of the KE. During the contracted state of the KE it is located south of Japan, where the Kuroshio separates from the coast.