Search Results for author: Peter Tankov

Found 7 papers, 0 papers with code

Decarbonization of financial markets: a mean-field game approach

no code implementations22 Jan 2023 Pierre Lavigne, Peter Tankov

We then present a convergent numerical algorithm for computing this equilibrium and illustrate the impact of climate transition risk and the presence of green-minded investors on the market decarbonization dynamics and share prices.

Optimal Exploration of an Exhaustible Resource with Stochastic Discoveries

no code implementations3 Mar 2022 Ivar Ekeland, Wolfram Schlenker, Peter Tankov, Brian Wright

The standard Hotelling model assumes that the stock of an exhaustible resource is known.

Decision making with dynamic probabilistic forecasts

no code implementations30 Jun 2021 Peter Tankov, Laura Tinsi

We consider a sequential decision making process, such as renewable energy trading or electrical production scheduling, whose outcome depends on the future realization of a random factor, such as a meteorological variable.

Decision Making energy trading +1

Hedging under rough volatility

no code implementations10 May 2021 Masaaki Fukasawa, Blanka Horvath, Peter Tankov

In this chapter we first briefly review the existing approaches to hedging in rough volatility models.

Price formation and optimal trading in intraday electricity markets with a major player

no code implementations15 Nov 2020 Olivier Féron, Peter Tankov, Laura Tinsi

We study price formation in intraday electricity markets in the presence of intermittent renewable generation.

Price formation and optimal trading in intraday electricity markets

no code implementations10 Sep 2020 Olivier Féron, Peter Tankov, Laura Tinsi

We develop a tractable equilibrium model for price formation in intraday electricity markets in the presence of intermittent renewable generation.

Volatility options in rough volatility models

no code implementations5 Feb 2018 Blanka Horvath, Antoine Jacquier, Peter Tankov

We discuss the pricing and hedging of volatility options in some rough volatility models.

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