Showing 1 - 10 of 15
The aim of this paper is to analyze the sensitivity of Value at Risk (VaR) with respect to portfolio allocation. We derive analytical expressions for the first and second derivatives of the Value at Risk, and explain how they can be used to simplify statistical inference and to perform a local...
Persistent link: https://www.econbiz.de/10004985208
Persistent link: https://www.econbiz.de/10012650157
Using a novel regulatory dataset of fully identified derivatives transactions, this paper provides the first comprehensive analysis of the structure of the euro area interest rate swap (IRS) market after the start of the mandatory clearing obligation. Our dataset contains 1.7 million bilateral...
Persistent link: https://www.econbiz.de/10012040065
Using a novel regulatory dataset of fully identified derivatives transactions, this paper provides the first comprehensive analysis of the structure of the euro area interest rate swap (IRS) market after the start of the mandatory clearing obligation. Our dataset contains 1.7 million bilateral...
Persistent link: https://www.econbiz.de/10011975602
This paper publishes results on the convergence for hedging strategies in the setting of incomplete financial markets.
Persistent link: https://www.econbiz.de/10005843299
This paper delevops a tools to analyse the ordering of concordance of random vectors.
Persistent link: https://www.econbiz.de/10005843302
This papfer deals with distributional free inference to test for positive quadrant dependence, i.e. for the probability that two variables are simultaneously small (or large) being at least as great as it would be were they dependent.
Persistent link: https://www.econbiz.de/10005843307
This paper presents results on the convergence for hedging strategies in the setting of incomplete financial markets. We examine the convergence of the so-called locally risk-minimizing strategy.(...)
Persistent link: https://www.econbiz.de/10005843579
In this paper we discuss some statistical pitfalls that may occur in modeling cross-dependences with copulas in financial applications. In particular we focus on issues arising in the estimation and the empirical choice of copulas as well as in the design of time-dependent copulas.
Persistent link: https://www.econbiz.de/10005858145
We cionsider semiparmetric assymetric kernel density estimators when the unkonwn density has support on [0,∞). We provide a unifying framework which contains assymmetric kernel versions of several semiparametric density estimators considered previously in the literature. This framework allows...
Persistent link: https://www.econbiz.de/10005858393