activity
20182025
most citedThe risk function of the goodness-of-fit tests for tail models

8 citations · 17 across the 8 of their papers we have counts for

collaborators

9 papers

q-fin.ST2025

Temperature Measurement in Agent Systems

Christoph J. Börner, Ingo Hoffmann

Models for spin systems, known from statistical physics, are applied analogously in econometrics in the form of agent-based models. The models discussed in the econophysics literat…

q-fin.ST2024

A closer look at the chemical potential of an ideal agent system

Christoph J. Börner, Ingo Hoffmann, John H. Stiebel

Models for spin systems known from statistical physics are used in econometrics in the form of agent-based models. Econophysics research in econometrics is increasingly developing…

q-fin.PM2021★ 2 cited

Bitcoin: Like a Satellite or Always Hardcore? A Core-Satellite Identification in the Cryptocurrency Market

Christoph J. Börner, Ingo Hoffmann, Jonas Krettek +2

Cryptocurrencies (CCs) become more interesting for institutional investors' strategic asset allocation and will be a fixed component of professional portfolios in future. This asse…

q-fin.RM2021

On the Return Distributions of a Basket of Cryptocurrencies and Subsequent Implications

Christoph J. Börner, Ingo Hoffmann, Jonas Krettek +2

This paper evaluates and assesses the risk associated with capital allocation in cryptocurrencies (CCs). In this regard, we take a basket of 27 CCs and the CC index EWCI into a…

q-fin.ST2020

Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investors

Tim Schmitz, Ingo Hoffmann

In this paper, we investigate whether mixing cryptocurrencies to a German investor portfolio improves portfolio diversification. We analyse this research question by applying a (me…

econ.GN2019

On Capital Allocation under Information Constraints

Christoph J. Börner, Ingo Hoffmann, Fabian Poetter +1

Attempts to allocate capital across a selection of different investments are often hampered by the fact that investors' decisions are made under limited information (no historical…