activity
20242026
collaborators

8 papers

q-fin.ST2026

How the interpolation of life tables affects the decomposition of life insurance surplus

Mintodê Nicodème Atchadé, Marcus C. Christiansen, Friedrich Hubalek +1

The surplus of a life insurance policy depends on both systematic changes in mortality risk and financial changes. We propose to decompose the surplus by the axiomatically justifie…

q-fin.CP2026

From characteristic functions to multivariate distribution functions and European option prices by the damped COS method

Gero Junike, Hauke Stier

We provide a unified framework to obtain numerically certain quantities, such as the distribution function, absolute moments and prices of financial options, from the characteristi…

stat.ML2025

Accuracy estimation of neural networks by extreme value theory

Gero Junike, Marco Oesting

Neural networks are able to approximate any continuous function on a compact set. However, it is not obvious how to quantify the error of the neural network, i.e., the remaining bi…

cs.LG2025

Batch normalization does not improve initialization

Joris Dannemann, Gero Junike

Batch normalization is one of the most important regularization techniques for neural networks, significantly improving training by centering the layers of the neural network. Ther…

math.ST2025

Precise quantile function estimation from the characteristic function

Gero Junike

We provide theoretical error bounds for the accurate numerical computation of the quantile function given the characteristic function of a continuous random variable. We show theor…

q-fin.MF2024

Profit and loss decomposition in continuous time and approximations

Gero Junike, Hauke Stier, Marcus C. Christiansen

Financial institutions and insurance companies that analyze the evolution and sources of profits and losses often look at risk factors only at discrete reporting dates, ignoring th…