Normal distribution
The stETH slide and what it means for crypto liquidity
Q&A: Automated market-making may have contributed to depegging, says a crypto fund manager
Maximum likelihood estimation error and operational value-at-risk stability
The aim of this paper is to systematically investigate the stability of operational value-at-risk (OpVaR) models when fitting heavy-tailed distributions to the relatively small sample sizes found in operational loss data.
Actionable data breach insights from op risk modelling
Thomas Lee, chief executive at VivoSecurity, and Martin Liljeblad, operational risk manager at MUFG Americas, examine how a data breach cost model can replace an advanced measurement approach in a structured scenario
The use of the triangular approximation for some complicated risk measurement calculations
The author introduces the triangular approximation to the normal distribution in order to extract closed- and semi-closed-form solutions that are useful in risk measurement calculations.
Stochastic modeling of photovoltaic power generation and electricity prices
This paper proposes a stochastic model for the maximal production of PV power on a daily basis, based on data from three transmission system operators in Germany.
Small banks face rate options valuation model change
Negative rates causing pricing model rethink
Market reaction to price changes and fat-tailed returns
Market reaction to price changes and fat-tailed returns
Spread options, Farkas's lemma and linear programming
Spread options, Farkas's lemma and linear programming
Spread options, Farkas's lemma and linear programming
Spread options, Farkas's lemma and linear programming
A new breed of copulas for risk and portfolio management
A new breed of copulas for risk and portfolio management
Spread options, Farkas's lemma and linear programming
Spread options, Farkas's lemma and linear programming