Covariance matrix
The informativeness of risk factor disclosures: estimating the covariance matrix of stock returns using similarity measures
The authors examine 10-K and 10-Q filings for risk factor disclosures and investigate if these disclosures can be used to improve estimations of the covariance matrix of stock returns.
Performance measures adjusted for the risk situation (PARS)
This paper proposes the use of a new class of performance measures adjusted for the risk situation (PARS), as the perception of risk depends on the individual situation including risk preferences.
Random matrix theory provides a clue to correlation dynamics
A growing field of mathematical research could help us understand correlation fluctuations, says quant expert
Finding the nearest covariance matrix: the foreign exchange market case
The authors consider the problem of finding a valid covariance matrix in the foreign exchange market given an initial nonpositively semidefinite (non-PSD) estimate of such a matrix.
Better risk reporting doesn’t need an IT upgrade
By revisiting certain calculations, new insights into risk and profit drivers can be gained, says data scientist
Risk premia strategies – Lessons learned for the future
After a difficult 2018, investors are increasingly wary of risk premia, concerned that factors leading to underperformance might be a recurring problem. Imene Moussa, executive director at UBS, clarifies this issue
Managing energy market volumetric risk
Krzysztof Wolyniec presents a volumetric risk management model for energy markets
When it comes to correlation, cleaning is a chore that pays
Recent trends in research may help firms obtain reliable correlations from limited data
Cleaning correlation matrices
Bun, Bouchaud and Potters present a technique that allow cleaning in-sample noise from correlation matrixes
Hybrid correlation matrices
Hybrid correlation matrices