Using reinforcement learning to help replicate asset managers' allocation strategy
This paper presents a novel, practical approach to risk management for multifactor equity investment strategies.
David Bachelier leaves BGC-owned compression venture after seven years
Risk Awards 2022: New approach allows portfolios to be optimised and aligned with benchmarks
Abu Dhabi Investment Authority wants to turn systematic investing into a ‘good science’
Agreement to buy optimisation firm for £274m strengthens LCH’s FX foothold as SA-CCR bites
This paper proposes a new idea to determine the adjustment weight vector in order to construct a passive portfolio with lower risk than the risk of the benchmark index.
Deal for multilateral compression provider latest in wave of post-trade tie-ups, as SA-CCR bites
The technology behind Google’s AlphaGo has been strangely overlooked by quants
A combination of machine learning techniques provides multi-period portfolio optimisation
With margin requirements a potential drain on financial resources, delivering healthy returns while meeting regulatory obligations is paramount. To help participants optimise more of their risk, Varqa Abyaneh, chief product officer, Quantile, discusses…
Michael Hollingsworth, head of financial risk analytics in the Data and Access Solutions division at Cboe Global Markets, reveals how trading firms are calculating margin in real time to manage pre- and post-trade risk and end-of-day clearing-house…
Hitachi ABB Power Grids’ dominant position in Energy Risk’s 2021 Software Rankings reflects its deep understanding of current market challenges
Crif-plus will capture risk exposures for all instruments, boosting optimisation potential
Flush with new cash, vendors ready rebalancing services ahead of risk-sensitive leverage framework
In this paper, the authors investigate the optimization of systemic risk based on DebtRank by considering two contagion channels: interbank lending and common asset holdings.
Long-awaited proposal must be replicated by US and UK to be effective, participants say
Smaller drawdowns, higher average and risk-adjusted returns for equity portfolios, using options and power-log optimization based on a behavioral model of investor preferences
The authors use a power-log utility optimization algorithm based on a behavioral model of investor preferences, along with either a call or a put option overlay, to reverse the negative skewness of monthly Standard & Poor’s 500 (S&P 500) index returns…
ESG risks will become part of investment and risk management processes across all funds at the firm
Machine learning shows promise in grouping assets better, predicting regime shifts
Matthew Beddall’s Havelock restyles value investing for the big data age
This paper derives an alternative fast Fourier transform-based computational approach for calculating the target capital of the SST that is more than 600 times faster than a Monte Carlo simulation.
This paper is devoted to the question of optimal portfolio construction for equity factor investing. The authors discuss the question of multifactor portfolio construction and show that the simplistic approaches often used by practitioners tend to be…
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