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Mathematics and Financial Economics OnlineFirst articles


Dynamic asset allocation with event risk, transaction costs and predictable returns

We examine the interplay between event risk, transaction costs and predictability on the dynamic asset allocation of an investor with discrete trading opportunities. The model is calibrated to the U.S. stock market and a Gauss–Hermite quadrature …


Arbitrage and utility maximization in market models with an insider

We study arbitrage opportunities, market viability and utility maximization in market models with an insider. Assuming that an economic agent possesses an additional information in the form of an $$\mathscr {F}_T$$ F T -measurable discrete random …


Sensitivity analysis for marked Hawkes processes: application to CLO pricing

This paper deals with a model for pricing Collateralized Loan Obligations, where the underlying credit risk is driven by a marked Hawkes process, involving both clustering effects on defaults and random recovery rates. We provide a sensitivity …


Existence of a Radner equilibrium in a model with transaction costs

We prove the existence of a Radner equilibrium in a model with proportional transaction costs on an infinite time horizon and analyze the effect of transaction costs on the endogenously determined interest rate. Two agents receive exogenous …


A scaled version of the double-mean-reverting model for VIX derivatives

As the Heston model is not consistent with VIX data in real market well enough, alternative stochastic volatility models including the double-mean-reverting model of Gatheral (in: Bachelier Congress, 2008) have been developed to overcome its …

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In the last twenty years mathematical finance has developed independently from economic theory, and largely as a branch of probability theory and stochastic analysis. This has led to important developments e.g. in asset pricing theory, and interest-rate modeling.

This direction of research however can be viewed as somewhat removed from real-world considerations and increasingly many academics in the field agree over the necessity of returning to foundational economic issues.

Mainstream finance on the other hand has often considered interesting economic problems, but finance journals typically pay less attention to the high-level quantitative approach. When quantitative methods useful to economists are developed by mathematicians and published in mathematical journals, they often remain unknown and confined to a very specific readership. More generally, there is a need for bridges between these disciplines.

The aim of this new journal is to reconcile these two approaches and to provide the bridging links between mathematics, economics and finance. Typical areas of interest include foundational issues in asset pricing, financial markets equilibrium, insurance models, portfolio management, quantitative risk management, intertemporal economics, uncertainty and information in finance models.

The first Editor-in-Chief was Elyès Jouini (2007), succeeded by Ivar Ekeland (2011) and from 2014, by Ulrich Horst and Frank Riedel jointly.

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Blockchain-Effekte im Banking und im Wealth Management

Es steht fest, dass Blockchain-Technologie die Welt verändern wird. Weit weniger klar ist, wie genau dies passiert. Ein englischsprachiges Whitepaper des Fintech-Unternehmens Avaloq untersucht, welche Einsatzszenarien es im Banking und in der Vermögensverwaltung geben könnte – „Blockchain: Plausibility within Banking and Wealth Management“. Einige dieser plausiblen Einsatzszenarien haben sogar das Potenzial für eine massive Disruption. Ein bereits existierendes Beispiel liefert der Initial Coin Offering-Markt: ICO statt IPO.
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