The expected returns have to be converged to the single rate in the same equity market through arbitrage as the return difference provides an arbitrage opportunity, which recurs to narrow any differentials. The beta is eventually unnecessary as a composition of the equity cost computation...

We show how one can use deep neural networks with macro-economic data in conjunction with price-volume data in a walk-forward setting to do tactical asset allocation. Low cost publicly traded ETFs corresponding to major asset classes (equities, fixed income, real estate) and geographies (US,...

Building upon the fundamental notion of hierarchy, the "Hierarchical Risk Parity" (HRP) and the "Hierarchical Clustering based Asset Allocation" (HCAA), the Hierarchical Equal Risk Contribution Portfolio (HERC) aims at diversifying capital allocation and risk allocation. HERC merges and enhances...

This paper characterizes the equilibrium in a continuous time financial market populated by heterogeneous agents who differ in their rate of relative risk aversion and face convex portfolio constraints. The model is studied in an application to margin constraints and found to match real world...

In this work, we have found a risk model that improves the performance of Risk Targeting. Risk Targeting in portfolio construction is implemented to improve capital utilization in growing markets and systematically step away from risk scenarios. However, the performance of risk targeting varies...

We present a portfolio construction methodology for futures strategies that incorporates active trading and also borrows salient features from the risk-parity methodology. We document the evolution of expected risk and return based portfolio construction methodologies and propose a new...

Financial institutions commonly face the risk that large trades will execute at unfavorable prices due to price impact effects from insufficient market liquidity. A typical method to manage these price impact effects is to split a given order into smaller pieces and to trade these pieces...

In this paper we extend the timeseries momentum (or trendfollowing) model towards a generalized momentum model, called Flexible Asset Allocation (FAA). This is done by adding new momentum factors to the traditional momentum factor R based on the relative returns among assets. These new factors...