Search Results for author: Nils Bertschinger

Found 7 papers, 4 papers with code

Cross-ownership as a structural explanation for rising correlations in crisis times

no code implementations9 Dec 2021 Nils Bertschinger, Axel A. Araneda

In this paper, we examine the interlinkages among firms through a financial network where cross-holdings on both equity and debt are allowed.

Relation

Bayesian Quantile Matching Estimation

2 code implementations14 Aug 2020 Rajbir-Singh Nirwan, Nils Bertschinger

Due to increased awareness of data protection and corresponding laws many data, especially involving sensitive personal information, are not publicly accessible.

The sub-fractional CEV model

no code implementations17 Jan 2020 Axel A. Araneda, Nils Bertschinger

The sub-fractional Brownian motion (sfBm) is a stochastic process, characterized by non-stationarity in their increments and long-range dependency, considered as an intermediate step between the standard Brownian motion (Bm) and the fractional Brownian motion (fBm).

Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches

no code implementations11 Dec 2019 V. Sasidevan, Nils Bertschinger

The latest financial crisis has painfully revealed the dangers arising from a globally interconnected financial system.

Rotation Invariant Householder Parameterization for Bayesian PCA

1 code implementation12 May 2019 Rajbir S. Nirwan, Nils Bertschinger

We consider probabilistic PCA and related factor models from a Bayesian perspective.

Probabilistic Programming

Estimation of Covariance Matrices for Portfolio Optimization using Gaussian Processes

2 code implementations8 Jun 2018 Rajbir-Singh Nirwan, Nils Bertschinger

Estimating covariances between financial assets plays an important role in risk management and optimal portfolio allocation.

Computational Engineering, Finance, and Science Portfolio Management

The Information Theory of Individuality

1 code implementation8 Dec 2014 David Krakauer, Nils Bertschinger, Eckehard Olbrich, Nihat Ay, Jessica C. Flack

We consider biological individuality in terms of information theoretic and graphical principles.

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