Search Results for author: Michele Azzone

Found 8 papers, 0 papers with code

Asset management with an ESG mandate

no code implementations18 Mar 2024 Michele Azzone, Emilio Barucci, Davide Stocco

We investigate the portfolio frontier and risk premia in equilibrium when an institutional investor aims to minimize the tracking error variance and to attain an ESG score higher than the benchmark's one (ESG mandate).

Asset Management

Hedging carbon risk with a network approach

no code implementations21 Nov 2023 Michele Azzone, Maria Chiara Pocelli, Davide Stocco

As a consequence, while it is possible to obtain an efficient hedging portfolio strategy with our methodology for the carbon factor, the same cannot be achieved for the ESG one.

Network Embedding

Is (independent) subordination relevant in option pricing?

no code implementations14 Jul 2023 Michele Azzone, Roberto Baviera

We prove that a local semimartingale is not equivalent to a BM with a time-change that is independent from the BM.

A fast Monte Carlo scheme for additive processes and option pricing

no code implementations15 Dec 2021 Michele Azzone, Roberto Baviera

In this paper, we present a very fast Monte Carlo scheme for additive processes: the computational time is of the same order of magnitude of standard algorithms for Brownian motions.

Short-time implied volatility of additive normal tempered stable processes

no code implementations5 Aug 2021 Michele Azzone, Roberto Baviera

Empirical studies have emphasized that the equity implied volatility is characterized by a negative skew inversely proportional to the square root of the time-to-maturity.

Synthetic forwards and cost of funding in the equity derivative market

no code implementations7 Nov 2020 Michele Azzone, Roberto Baviera

There is statistical evidence that, in the EURO STOXX 50 market, the implicit interest rate curve coincides with the EUR OIS one, while, in the S&P 500 market, a cost of funding of, on average, 34 basis points is added on top of the USD OIS curve.

Neural Network Middle-Term Probabilistic Forecasting of Daily Power Consumption

no code implementations5 Jun 2020 Michele Azzone, Roberto Baviera

Middle-term horizon (months to a year) power consumption prediction is a main challenge in the energy sector, in particular when probabilistic forecasting is considered.

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