Portfolio optimisation
Asset allocation with inverse reinforcement learning
Using reinforcement learning to help replicate asset managers' allocation strategy
A factor-based risk model for multifactor investment strategies
This paper presents a novel, practical approach to risk management for multifactor equity investment strategies.
Capitalab co-founder quits firm
David Bachelier leaves BGC-owned compression venture after seven years
Rising star in quant finance: Silvana Pesenti
Risk Awards 2022: New approach allows portfolios to be optimised and aligned with benchmarks
Adia wealth fund is building supergroup of quant investing
Abu Dhabi Investment Authority wants to turn systematic investing into a ‘good science’
LSEG beefs up non-cleared ambitions with Quantile deal
Agreement to buy optimisation firm for £274m strengthens LCH’s FX foothold as SA-CCR bites
Correlation diversified passive portfolio strategy based on permutation of assets
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.
Capitolis to acquire LMRKTS
Deal for multilateral compression provider latest in wave of post-trade tie-ups, as SA-CCR bites
The case for reinforcement learning in quant finance
The technology behind Google’s AlphaGo has been strangely overlooked by quants
Goal-based wealth management with reinforcement learning
A combination of machine learning techniques provides multi-period portfolio optimisation
Turning challenges into solutions
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…
Margin matters – A smarter approach to margin risk
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…
Powering through tough times
Hitachi ABB Power Grids’ dominant position in Energy Risk’s 2021 Software Rankings reflects its deep understanding of current market challenges
Simm template to be expanded for SA-CCR and FRTB
Crif-plus will capture risk exposures for all instruments, boosting optimisation potential
Optimisation firms prep for SA-CCR boom
Flush with new cash, vendors ready rebalancing services ahead of risk-sensitive leverage framework
Optimization of systemic risk: reallocation of assets based on bank networks
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.
Mixed response to Esma’s clearing carve-out for optimisation
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…
Fulcrum hangs ESG designs on honing hard numbers
ESG risks will become part of investment and risk management processes across all funds at the firm
Quant funds look to AI to master correlations
Machine learning shows promise in grouping assets better, predicting regime shifts
Stock-picking finds unlikely champion in ex-Winton CIO
Matthew Beddall’s Havelock restyles value investing for the big data age
The standard market risk model of the Swiss solvency test: an analytic solution
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.
Factor investing: get your exposures right!
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…
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