Understanding the Core Strategy of Quant Funds

With automation technology invading almost every domain, it was inevitable that the investment sector would follow suit and embrace the concept.  Quant mutual funds fall under the category of highly technical investment tools.Unlike passive and active funds that are managed by professionals, this is an emerging class of mutual funds that relies on artificial intelligence (AI) and machine learning (ML) for investment decisions and stock selection. Here’s a more detailed look at this phenomenon.

A quant fund is a cutting-edge investment instrument that uses a computational, data-driven, rule-based approach for asset allocation. It depends on an automated programme and advanced quantitative analysis for investment decisions as well as the entry and exit timing.The quant fund manager is entrusted with the task of designing a custom-built stock-picking model based on various metrics like valuation, earnings, price, momentum, and quality.

• Since investment opportunities are determined by numerical methodology and predefined rules, there is no physical intervention of fund managers. Consequently, the automated format eliminates the chances of human discretion and bias when buying or selling stock.
• The quant format is based on discipline, academic research, and statistical data. This helps in detecting market inefficiencies and keeping out highly volatile companies in portfolio management.
• Cost-effectiveness is another selling point of the automated format.The fund relies on software programmes to analyse data, select assets, and execute the trades hence there is no need for large teams, traditional analysts, and portfolio managers.This automatically slashes the expense-ratio.
• During a bearish trend, fund managers are known to alter their investment techniques. The pre-programmed model provides strategic consistency in all market conditions as it selects stock based on high return and growth potential.
• Quantitative funds have the right inputs to predict abnormal market events and built-in checks on stock concentration. This helps in choosing investments that pose the least risk.

Big and small enterprises are realising the quantifiable benefits of intelligent automation and using this valuable technology to help improve the operational efficiency of their processes for a competitive edge. Some investment management firms are also testing this predictive model by leveraging the power of automation to identify trends/patterns, portfolio construction, and analytics.Quant fund is an example of an AI-enabled strategy to detect investment opportunities for building portfolios. By using complex algorithms, historical data and a range of metrics the quant model facilitates objective decision making and unbiased stock-picking. Nippon, Tata, and DSP are the only fund houses offering quant schemes in India. Some hedge fund managers are also utilising the quantitative format for creating their portfolios.

While quant funds have grown globally, this class of funds is still at a nascent stage in India with a limited choice of indices. Despite several positives, a prospective investor must have a thorough understanding of the core quant strategy before venturing forth.

The information contained herein is generic in nature and is meant for educational purposes only. Nothing here is to be construed as an investment or financial or taxation advice nor to be considered as an invitation or solicitation or advertisement for any financial product. Readers are advised to exercise discretion and should seek independent professional advice prior to making any investment decision in relation to any financial product. Aditya Birla Capital Group is not liable for any decision arising out of the use of this information.