Correlation
Factor woes prove need for better timing – QuantZ’s Sharma
Investors should switch between factors as alphas change, says quant
My kingdom for the right copula
Copulas can still deliver if chosen with due attention to intuition and data, says quant fund chair
Ex-SunGard chief Cris Conde’s random walk to fintech and beyond
Technologist talks artificial intelligence, angel investing and accidentally contributing to the Basel framework
Random matrix theory provides a clue to correlation dynamics
A growing field of mathematical research could help us understand correlation fluctuations, says quant expert
Autocalamity: can hit product be reinvented?
Spreads on ‘worst-of’ bonds leap 50% as some dealers retreat and others pile on hedges
Ratings can still sharpen credit risk picture
Study shows even the most modern default models benefit from adding credit rating information
Time to move on from mean-variance diversification
A new diversification measure appears to produce better results than mean-variance optimisation
Equally diversified or equally weighted?
New diversification measure enables construction of equally diversified portfolios
Vol decay and correlation flips: CFM’s take on the Covid crisis
Market bounce-back blindsided quant investment firm – and others
CVA desks arm themselves for the next crisis
March’s volatility forces dealers to fine-tune hedging strategies
SocGen mulls sale of structured product books after big losses
Rival Natixis also plans to place parts of its equity derivatives business in run-off mode
Spotting co-movement breakdowns with neural networks
Autoencoders can detect changes in relationship between assets in real time
Eigenportfolios of US equities for the exponential correlation model
In this paper, the eigendecomposition of a Toeplitz matrix populated by an exponential function in order to model empirical correlations of US equity returns is investigated.
Detecting changes in asset co-movement using autoencoders
ARR aims to anticipate volatility patterns to provide signals for risk management and trading
Bargain-hunting equity hedgers turn to FX
Currency options are cheap relative to stock index puts, but correlations are uncertain
Safe havens no longer safe, quants fear
Equity-debt correlation breakdown and negative bond yields make investors nervous
Dispersion trades suffer in coronavirus selloff
Losses put at roughly $150m – even before markets tanked on March 9
ICAAP/ILAAP – Unlocking business value from capital and liquidity assessment
Regulators consider banks’ internal capital adequacy and assessment process (ICAAP) and internal liquidity adequacy assessment process (ILAAP) important tools in managing risk. The European Central Bank’s (ECB’s) updated guidance – which came into effect…
An internal default risk model: simulation of default times and recovery rates within the new Fundamental Review of the Trading Book framework
This paper presents a new default risk model for market risk that is consistent with these requirements. The recovery rates follow a waterfall model that is based on a minimum entropy principle.
Ripping up the old asset class labels
Outmoded classifications of securities may be concealing market risk. AI has a better idea
Quant funds look to AI to master correlations
Machine learning shows promise in grouping assets better, predicting regime shifts
Will uncleared margin rules change the FX landscape?
As the next phases of uncleared margin rules come into force, there will be an economic driver for more clearing of FX. By Phil Hermon, Executive Director of FX Products at CME Group
The Fundamentals of market risk rules
With the 2022 Fundamental Review of the Trading Book (FRTB) deadline looming, banks are fast coming to grips with the amount of work still to be done to achieve a successful implementation