Empower Your Investment Strategy with Precision and Innovation
Discretionary portfolio management is full of traps and pitfalls.
Trendrating data and technology can help to address the key problems.
The management of equity portfolios can be performed on a discretionary basis, a systematic basis or a combination of both approaches. Systematic portfolio management is gaining traction as it often provides better returns, lower deviation from an expected outcome, improved discipline and control, full transparency and consistency of the rules governing investment decisions and lower costs. Systematic management can easily fit into most investment strategies (value, growth or contrarian) as the starting point is the universe of stocks that satisfy the defined qualitative or quantitative criteria. These systems are then used to decide the selection and timing of investments. The underlying models are usually tested across years of history to validate the added value they can generate across different market cycles (bull trends, bear trends, ranging phases, high and low volatility) and across a large number of securities. After the testing phase, a real-life validation is required to confirm the quality of the models.
Some of the best performing hedge funds are purely systematic, and are proven to outperform a number of discretionary peers. Even some of the largest asset managers have recently moved the management of funds into systematic processes. With fundamental active management increasingly struggling to deliver consistent outperformance versus benchmarks over the medium-to-long term, a systematic model-driven decision-making solution offers investors the necessary tools to address the increased complexity of stock trends. Importantly, by its very nature, such a solution is able to avoid a number of the pitfalls of human judgement and behavioral drawbacks that often negatively impact an investment process.