The effect of alternative investment in hedge funds

Given that there is a growing emphasis in the field of alternative investment, this paper studies the effect of alternative investment in hedge funds and tests whether hedge funds that take positions in non-standard asset classes outperform hedge funds that take positions only in equity and fixed income securities.   The Fung and Hsieh (2004) seven-factor model is used to analyse the hedge fund returns. The seven-factor model is first tested with a substitute factor as the original factor data ceased to exist by 2007, then is extended to cover 2000-2006, 2007-2010, 2011-2015 period to examine its explanatory power, and finally used to obtain the alpha return of the hedge funds. The alpha return will be separated into two groups, with verse without alterative investment exposure. The alphas are tested to see if there is any difference between the two groups. An empirical comparison base on pure return will also be presented.   We observe that the funds which have weights in non-standard assets earned a statistically significant excess alpha than the funds without exposure during the 2007 to 2010 period. It is possible that funds with investment in the non-standard assets could outperform those without exposure in future

Quantaloidal Completions of Order-enriched Categories and Their Applications

By introducing the concept of quantaloidal completions for an order-enriched category, relationships between the category of quantaloids and the category of order-enriched categories are studied. It is proved that quantaloidal completions for an order-enriched category can be fully characterized as compatible quotients of the power-set completion. As applications, we show that a special type of injective hull of an order-enriched category is the MacNeille completion; the free quantaloid over an order-enriched category is the Down-set completion

An unusual morphology and crystallization behavior in in situ formed polyphenylene oxide/polyamide 6 blends

Novel polyphenylene oxide/polyamide 6 (PPO/ PA6) blends were synthesized via in situ polymerization of e-caprolactam with PPO dissolved in it. The introduction of 10 wt% PPO into PPO/PA6 led to phase inversion of the blends, which was nearly completed by incorporating 15 wt% PPO into the blends. A single crystallization temperature (Tc) of PA6 was detected for PPO/PA6 with 1–4 wt% PPO, while double Tc existed in the blends with 6–15 wt% PPO. After eliminating previous thermal his tory, PPO/PA6 containing no more than 6 wt% PPO gave a single melting point (Tm), but the blends with 10–15 wt% PPO exhibited double Tm. Increasing PPO content in PA6 resulted in the transformation of its crystal form from a-crystal to c-crystal, which might be attributed to hin drance of crystallization of PA6 particles in PPO-rich phase.info:eu-repo/semantics/publishedVersio

On the eigenstructure of hermitian Toeplitz matrices with prescribed eigenpairs

In this paper we concern the spectral properties of hermitian Toeplitz matrices. Based on the fact that every centrohermitian matrix can be reduced to a real matrix by a simple similarity transformation, we first consider the eigenstructure of hermitian Toeplitz matrices and then discuss a related inverse eigenproblem. We show that the dimension of the subspace of hermitian Toeplitz matrices with two given eigenvectors is at least two and independent of the size of the matrix, the solution of the inverse hermitian Toeplitz eigenproblem with two given eigenpairs is unique.FC

Finite integration methods for isospectral flows

In this paper we consider the approximate computation of isospectral flows based on finite integration methods( FIM) with radial basis functions( RBF) interpolation,a new algorithm is developed. Our method ensures the symmetry of the solutions. Numerical experiments demonstrate that the solutions have higher accuracy by our algorithm than by the second order Runge- Kutta( RK2) method

ESTIMATION OF LOWER LIMB KINETICS FROM LANDMARKS DURING SIDESTEPPING VIA ARTIFICIAL NEURAL NETWORKS

The purpose of this study was to determine the validity of kinetics estimated from 3D coordinates of landmarks during sidestepping by artificial neural networks (ANN). 71 male college professional soccer athletes performed sidestepping with two directions (left and right) and two cutting angles (45° and 90°) 3times for every task, totally 12 times. Coordinates of reflective markers, ground reaction forces (GRF) and lower limb joint moments were measured. All 18 body landmarks such as joints center were obtained by reflective markers as inputs to estimate GRF and lower joint moments in the ANN whose type was multilayer perceptron. The most of kinetics estimated by ANN showed strong correlation(r\u3e0.9) with measured results. Just few kinetic curves of ANN existed significant differences in a few time points compared to measured results. ANN could accurately estimate kinetics from the coordinates of body landmarks druing sidestepping