Showing 1 - 9 of 9
In this paper, we extend the concept of News Impact Curve developed by Engle and Ng (1993) to the higher moments of the multivariate returns' distribution, thereby providing a tool to investigate the impact of shocks on the characteristics of the subsequent distribution. For this purpose, we...
Persistent link: https://www.econbiz.de/10003394353
We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...
Persistent link: https://www.econbiz.de/10008797745
Persistent link: https://www.econbiz.de/10011738502
We model the dynamics of asset prices and associated derivatives by consideration of the dynamics of the conditional probability density process for the value of an asset at some specified time in the future. In the case where the asset is driven by Brownian motion, an associated "master...
Persistent link: https://www.econbiz.de/10008797695
that these co-moments convey useful information about market returns, complementary to the information extracted from a …
Persistent link: https://www.econbiz.de/10008797742
The aim of this paper is to investigate long-term portfolio management in a fully structural macro- financial framework. First, we estimate a Dynamic Stochastic General Equilibrium (DSGE) model that describes the dynamic of the US economy and financial markets. In addition to the typical...
Persistent link: https://www.econbiz.de/10010256360
We build a macroeconomic model for Switzerland, the Euro Area, and the USA that drives the dynamics of several asset classes and the liabilities of a representative Swiss (defined-contribution) pension fund. This encompassing approach allows us to generate correlations between returns on assets...
Persistent link: https://www.econbiz.de/10010442892
We introduce a simulation method for dynamic portfolio valuation and risk management building on machine learning with kernels. We learn the dynamic value process of a portfolio from a finite sample of its cumulative cash flow. The learned value process is given in closed form thanks to a...
Persistent link: https://www.econbiz.de/10012052380
We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting. The model learns the features necessary for an effective low-dimensional representation, overcoming the curse...
Persistent link: https://www.econbiz.de/10012219260