Sovereign bond return prediction with realized higher moments

The Higher Moments of Future Return on Equity

Portfolio Selection with Higher Moments

We propose a method for optimal portfolio selection using a Bayesian framework that addresses two major shortcomings of the Markowitz approach: the ability to handle higher moments and estimation error. We employ the skew normal distribution which has many attractive features for modeling multivariate returns. Our results suggest that it is important to incorporate higher order moments in portf...

Spillover in Euro Area Sovereign Bond Markets *

This paper applies the Diebold and Yilmaz (2009, 2012) spillover methodology to euro area sovereign bond markets. Our analysis identifies different phases of interaction in those markets in recent years. We find a substantial increase in spillover between euro area sovereign bond markets coinciding with the bailout of Bear Stearns in March 2008. The phase of the euro area crisis from the first ...

Prediction the Return Fluctuations with Artificial Neural Networks' Approach

Time changes of return, inefficiency studies performed and presence of effective factors on share return rate are caused development modern and intelligent methods in estimation and evaluation of share return in stock companies. Aim of this research is prediction of return using financial variables with artificial neural network approach. Therefore, the statistical population of this study incl...

Bond Risk Premia and Realized Jump Risk∗

We find that augmenting a regression of excess bond returns on the term structure of forward rates with a rolling estimate of the mean realized jump size—identified from high-frequency bond returns using the bi-power variation technique—substantially increases the R2 of the regression. This result is consistent with the setting of an unspanned risk factor in which the conditional distribution o...