Technical paper/Asset allocation
Peak-to-valley drawdowns: insights into extreme path-dependent market risk
The authors investigate risk in relation to peak-to-valley market drawdowns and aim to gain insights into the drawdown behaviour of asset classes across time intervals.
Forecasting the European Monetary Union equity risk premium with regression trees
The authors use EMU data from the period between 2000 to 2020 to forecast equity risk premium and investigate Classification and Regression Trees.
Goal-based wealth management with reinforcement learning
A combination of machine learning techniques provides multi-period portfolio optimisation
A regime-switching factor model for mean–variance optimization
In this paper the authors formulate a novel Markov regime-switching factor model to describe the cyclical nature of asset returns in modern financial markets.
Factor-based tactical bond allocation and interest rate risk management
This paper offers two composite bond market factor investment strategies each for the Swiss bond market and for the global sovereign bond market.
Asset correlation estimation for inhomogeneous exposure pools
This study investigates the systematic error that is made if the exposure pool underlying a default time series is assumed to be homogeneous when in reality it is not.
Parameter estimation, bias correction and uncertainty quantification in the Vasicek credit portfolio model
This paper is devoted to the parameterization of correlations in the Vasicek credit portfolio model. First, the authors analytically approximate standard errors for value-at-risk and expected shortfall based on the standard errors of intra-cohort…
Tying allocation to selection
Hamza Bahaji introduces a new approach to core-satellite investing, the compound portfolio insurance
A risk-based approach to construct multi asset portfolio solutions
In this paper, the authors introduce an approach to cluster asset classes by correlation distance and then outline how these results can be used to design portfolios that are optimal in a group risk parity (GRP) framework.
Mostly prior-free asset allocation
This paper develops a prior-free version of Harry Markowitz’s efficient portfolio theory, which allows the decision maker to express their preferences with regard to risk and reward, even though they are unable to express a prior over potentially…
Lifecycle investing with the profitable dividend yield strategy: simulations and nonparametric analysis
Using simulations, the author shows that life-cycle investing implemented on highly profitable and high dividend yield stocks (the profitable dividend yield strategy) provides a compelling solution to the suboptimality problem by leveraging on the…
Investing across periods with Mahalanobis distances
The authors propose an analytical framework to measure investment opportunities and allocate risk across time based on the Mahalanobis distance.
Insights into robust optimization: decomposing into mean–variance and risk-based portfolios
The authors of this paper aim to demystify portfolios selected by robust optimization by looking at limiting portfolios in the cases of both large and small uncertainty in mean returns.
Fractional Kelly strategies with low-risk stocks
This paper uses the fractional Kelly strategies framework to show that optimal portfolios with low-beta stocks generate higher median wealth and lower intra-horizon shortfall risk.
Nonnegative risk components
This paper proposes two methods for attributing the risk of a portfolio or system to its components.
Stress testing in non-normal markets via entropy pooling
Ardia and Meucci introduce a parametric entropy pooling approach to portfolios stress testing
Portfolio optimisation via replication
Filippo Della Casa and Michele Gaffo propose a new framework to run portfolio optimisation for life insurance business, by exporting the replicating portfolio technique from risk management to investment management. In particular, they develop a new risk…
Non-linear mixture of asset return models
Non-linear mixture of asset return models
Factors on demand
Linear factor models are commonly used by portfolio managers to capture sources of risk, traditionally split between systematic and idiosyncratic types. By using the conditional link between flexible bottom-up estimation, and top-down attribution, factor…