activity
20202025
most citedConvex Risk Measures for the Aggregation of Multiple Information Sources and Applications in Insurance

10 citations · 23 across the 11 of their papers we have counts for

collaborators

11 papers

q-fin.RM2025

A tail-shape actuarial index based on equal level relationships between Value at Risk and Expected Shortfall

Georgios I. Papayiannis, Georgios Psarrakos

We introduce a new actuarial tail-shape index, the -index, based on a probability equal level relationship between Value at Risk and Expected Shortfall. The index is defined at…

stat.ME2025

Barycentric model aggregation in the Wasserstein space of distributions and a variational approach to consistency

Emmanouil Androulakis, Georgios I. Papayiannis, Athanasios N. Yannacopoulos

We study the problem of model aggregation within the Wasserstein space for probability measures on the real line. Given a fixed finite collection of candidate probability models, w…

econ.EM2023★ 1 cited

Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia

Phoebe Koundouri, Georgios I. Papayiannis, Achilleas Vassilopoulos +1

This study presents a novel approach to assessing food security risks at the national level, employing a probabilistic scenario-based framework that integrates both Shared Socioeco…

cs.MA2023★ 3 cited

Consensus group decision making under model uncertainty with a view towards environmental policy making

Phoebe Koundouri, Georgios I. Papayiannis, Electra V. Petracou +1

In this paper we propose a consensus group decision making scheme under model uncertainty consisting of an iterative two-stage procedure and based on the concept of Fréchet barycen…

q-fin.PM2023★ 3 cited

A Framework for Treating Model Uncertainty in the Asset Liability Management Problem

Georgios I. Papayiannis

The problem of asset liability management (ALM) is a classic problem of the financial mathematics and of great interest for the banking institutions and insurance companies. Severa…

math.OC2023

An optimal control problem with state constraints in a spatio-temporal economic growth model on networks

Alessandro Calvia, Fausto Gozzi, Marta Leocata +3

We introduce a spatial economic growth model where space is described as a network of interconnected geographic locations and we study a corresponding finite-dimensional optimal co…

q-fin.RM2022★ 10 cited

Convex Risk Measures for the Aggregation of Multiple Information Sources and Applications in Insurance

Georgios I. Papayiannis, Athanasios N. Yannacopoulos

We propose a novel class of convex risk measures, based on the concept of the Fréchet mean, designed in order to handle uncertainty which arises from multiple information sources r…

math.OC2022

A Robust Decision Making Framework for Optimal Strategy Selection in Warfare under Model Uncertainty

Georgios I. Papayiannis

In this paper is presented a framework for treating uncertainty in optimal decision problems occuring in combat situations, in order to robustly select the optimal strategy. A stoc…

q-fin.RM2022

Static Hedging of Freight Rate Risk in the Shipping Market under Model Uncertainty

Georgios I. Papayiannis

Freight rate derivatives constitute a very popular financial tool in shipping industry, that allows to the market participants and the individuals operating in the field, to reassu…

math.OC2022★ 5 cited

Robust Policy Selection and Harvest Risk Quantification for Natural Resources Management under Model Uncertainty

Georgios I. Papayiannis

In this work the problem of optimal harvesting policy selection for natural resources management under model uncertainty is investigated. Under the framework of the neoclassical gr…

stat.ME2020★ 1 cited

Modelling of functional profiles and explainable shape shifts detection: An approach combining the notion of the Fréchet mean with the shape invariant model

Georgios I. Papayiannis, Stelios Psarakis, Athanasios N. Yannacopoulos

A modelling framework suitable for detecting shape shifts in functional profiles combining the notion of Fréchet mean and the concept of deformation models is developed and propose…