For large portfolio managers, a sequence of single-period optimal positions is rarely multi-period optimal. In particular, transaction costs can prevent large portfolio managers from monetizing most of their forecasting power. The solution is to compute the trading trajectory that comes...

Options are financial derivatives which are used as risk management tools for hedging the portfolios. The options traders can play safely in the volatile markets with the help of knowledge of the Greeks associated with the options. This study is focused at providing the knowledge of the Greeks...

There are three fundamental ways of testing the validity of an investment algorithm against historical evidence: a) the walk-forward method; b) the resampling method; and c) the Monte Carlo method. By far the most common approach followed among academics and practitioners is the walk-forward...

The importance of asset allocation decisions in wealth management is well established. However, given its importance it is perhaps surprising that so little attention has been paid to the question of whether professional fund managers are skillful at timing market movement across asset classes...

Apparently “there is no substitute for experience”. This and similar phrases are often heard in the worlds of politics, business, sport and others. It is the sort of proposition that makes sense to people. However, while the performance of actively managed funds has attracted a great deal of...

In this article, the authors present a conceptual framework named 'Adaptive Seriational Risk Parity' (ASRP) to extend Hierarchical Risk Parity (HRP) as an asset allocation heuristic. The first step of HRP (quasi-diagonalization) determining the hierarchy of assets is required for the actual...

In this paper, the authors construct a pipeline to benchmark Hierarchical Risk Parity (HRP) relative to Equal Risk Contribution (ERC) as examples of diversification strategies allocating to liquid multi-asset futures markets with dynamic leverage ("volatility target"). The authors use...

Increasingly, consultants for fund management firms care about the riskiness of fund managers’ investment strategies. Fund managers themselves must care about the riskiness of their investment strategies vis-a-vis the client’s specified benchmark

Calibrating a trading rule using a historical simulation (also called backtest) contributes to backtest overfitting, which in turn leads to underperformance. We propose a procedure for determining the optimal trading rule (OTR) without running alternative model configurations through a backtest...