Correlation
Denmark’s ATP warns of inflation threat to risk parity
Pension fund cuts risk to guard against correlation switchback
Modelling correlation: from zig-zag to zig-zig
Research is starting to show the stock-bond link in a new light
Chinese banks pose increased risk to euro area – ECB
Growing number of Chinese lenders designated as systemically important
Buy-side modellers seek ‘Holy Grail’ of investing
When stocks and bonds fell in tandem this year, it sparked a debate about whether a lasting regime shift could be predicted
Op risk capital: why US should adopt SMA today
No reason to delay roll-out of standardised approach, says TCH’s Greg Baer
Underperforming performance measures? A review of measures for loss given default models
This paper reviews the ways of measuring the performance of LGD models that have been previously used in the literature and also suggests some new measures.
Month of higher vol spurs equity derivatives trading
Turmoil benefits total return futures, cross-asset arbitrage and dispersion
Old dispersion product signals new vol regime
Return of pre-crisis, ‘theta-flat’ trades an early sign of shifting volatility expectations
What causes forex correlation swaps to be mispriced?
UBS quants show prices can differ by up to 25 correlation points if products modelled accurately
Foreign exchange correlation swap: problem solver or troublemaker?
A correlation structure is an important element in pricing products such as correlation swaps
A risk-sensitive approach for stressed transition probability matrixes
In this paper, the authors outline a simulation-based methodology for the generation of stressed transition probability matrixes under the structural credit risk framework.
Quants find hidden currency risk in domestic stocks
Pure exposure to home equities harder to isolate than previously thought, new paper says
How to save op risk modelling
Drop loss categories and correlations and adopt simple loss distribution, advises AMA expert
Ranking the economic importance of countries and industries
The authors present a methodological framework for quantifying interdependencies in the global market and for evaluating risk levels in the worldwide financial network.
On the correlation and parametric approaches to calculation of credit value adjustment
This paper develops a connection between the Hull–White parametric approach and the PCL correlation approach for CVA calculation.
Stochastic loss given default and exposure at default in a structural model of portfolio credit risk
The authors develop a factor-type latent variable model for portfolio credit risk that accounts for stochastically dependent probability of default (PD), loss given default (LGD) and exposure at default (EAD) at both the systematic and borrower specific…
Reputation risk contagion
The aim of this paper is to assess the effects of the reputation of the members of a group on any single member of the group using the concepts of social influence and convergence in belief.
Interconnectedness risk and active portfolio management
This paper studies centrality (interconnectedness risk) measures and their added value in an active portfolio optimization framework.
Invest on the edges to avoid contagion, research suggests
Loosely connected assets are better protected against market crashes
Equity derivatives house of the year: Bank of America Merrill Lynch
Risk Awards 2017: Innovation helped bank get closer to originate-to-distribute model
The temporal dimension of risk
This paper mathematically formalizes the concept of a temporal path-dependent risk measure in order to capture the risk associated with the temporal dimension of a stochastic process.
Why re-correlation matters in alternative premia investing
Understanding key risk can be difference between success and failure
Operational risk and the Solvency II capital aggregation formula: implications of the hidden correlation assumptions
The authors of this paper analyze the Solvency II standard formula for capital risk aggregation in relation to the treatment of operational risk capital.
NetMES: a network based marginal expected shortfall measure
This paper aims to build novel measures of systemic risk that take the multivariate nature of the problem into account by means of network models.