activity
20162026
most citedThe Market Price of Jump Risk for Delivery Periods: Pricing of Electricity Swaps with Geometric Averaging

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

q-fin.RM2026

Asymptotics of Ruin Probabilities in a Subordinated Cramér-Lundberg Model

Jonathan Klinge, Maren Diane Schmeck

We study a dynamic model of a non-life insurance portfolio. The foundation of the model is a compound Poisson process that represents the claims side of the insurer. To introduce c…

q-fin.PR2023★ 1 cited

The Market Price of Jump Risk for Delivery Periods: Pricing of Electricity Swaps with Geometric Averaging

Annika Kemper, Maren Diane Schmeck

In this paper, we extend the market price of risk for delivery periods (MPDP) of electricity swap contracts by introducing a dimension for jump risk. As introduced by Kemper et al.…

econ.GN2020

Optimal switch from a fossil-fueled to an electric vehicle

Paolo Falbo, Giorgio Ferrari, Giorgio Rizzini +1

In this paper we propose and solve a real options model for the optimal adoption of an electric vehicle. A policymaker promotes the abeyance of fossil-fueled vehicles through an in…

q-fin.RM2020

A decomposition of general premium principles into risk and deviation

Max Nendel, Frank Riedel, Maren Diane Schmeck

We provide an axiomatic approach to general premium principles in a probability-free setting that allows for Knightian uncertainty. Every premium principle is the sum of a risk mea…

q-fin.PR2020

The Market Price of Risk for Delivery Periods: Pricing Swaps and Options in Electricity Markets

Annika Kemper, Maren D. Schmeck, Anna Kh. Balci

In electricity markets, futures contracts typically function as a swap since they deliver the underlying over a period of time. In this paper, we introduce a market price for the d…

q-fin.MF2019

Capturing the power options smile by an additive two-factor model for overlapping futures prices

Marco Piccirilli, Maren Diane Schmeck, Tiziano Vargiolu

In this paper we introduce an additive two-factor model for electricity futures prices based on Normal Inverse Gaussian Lévy processes, that fulfills a no-overlapping-arbitrage (NO…