activity
20182026
most citedParametric measures of variability induced by risk measures

5 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

q-fin.CP2026

A Temporal Multiplex Graph Neural Network for Systemic Risk Transmission in Global Banking

Nneka Umeorah, Tolulope Fadina

This paper develops a unified framework for assessing systemic risk and identifying contagion channels in the global banking system using a Temporal Heterogeneous Multiplex Graph N…

cs.LG2024

When fairness metrics fail: A utility-based perspective on -fairness

Tolulope Fadina, Thorsten Schmidt

Fairness in decision-making processes is often quantified using probabilistic metrics. However, these metrics need not reflect the consequences of decisions for the affected indivi…

q-fin.RM2021

A Framework for Measures of Risk under Uncertainty

Tolulope Fadina, Yang Liu, Ruodu Wang

A risk analyst assesses potential financial losses based on multiple sources of information. Often, the assessment does not only depend on the specification of the loss random vari…

q-fin.RM2020★ 5 cited

Parametric measures of variability induced by risk measures

Fabio Bellini, Tolulope Fadina, Ruodu Wang +1

We present a general framework for a comparative theory of variability measures, with a particular focus on the recently introduced one-parameter families of inter-Expected Shortfa…

q-fin.MF2018

Hyperfinite Construction of -expectation

Tolulope Fadina, Frederik Herzberg

The hyperfinite -expectation is a nonstandard discrete analogue of -expectation (in the sense of Robinsonian nonstandard analysis). A lifting of a continuous-time -expecta…

math.PR2018

Affine processes under parameter uncertainty

Tolulope Fadina, Ariel Neufeld, Thorsten Schmidt

We develop a one-dimensional notion of affine processes under parameter uncertainty, which we call non-linear affine processes. This is done as follows: given a set of parameters f…

q-fin.MF2018★ 1 cited

Ambiguity in defaultable term structure models

Tolulope Fadina, Thorsten Schmidt

We introduce the concept of no-arbitrage in a credit risk market under ambiguity considering an intensity-based framework. We assume the default intensity is not exactly known but…