Let’s start with your personal story
I was born and raised in India’s financial capital of Mumbai. In the financial services, Deeply Bunde grown in a family with a native, my interest in markets evolved almost instinctively, which has been shaped for years of dinner table conversation. I was a CA, CFA. And chased the MSc at the Management for Business Excellence, as well as a double diploma in world politics from the University of Warwick. I have also completed CMT Level 2 and I am also a Sebi-Registered Research Analyst, Investment Advisor and Portfolio Manager. To further my skills, I have completed programs at Harvard, London School Econom F Economics and Cornell.
How did you land in this job?
After completing my article on the EY, I joined the PL’s institutional equity research team in 2016, later moving into an investment strategy and advisor. As the research side came in contact with Deep Tanda, I saw a clear opportunity to innovate and distinguish, leading me to the world of quantitative investment.
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I led the PL raid in Quantitative Asset Management Space. The decision has not only strengthened the PL status quite a different, but also a more sophisticated and systematic strategy for India’s investment landscape.
Over the past five plus years, I have formed and led experts’ multi-disciplinary team to introduce groundbreaking strategies and have been completely infected with quant-based asset management. I am currently a quant investment strategy and fund manager at PL Asset Management.
What funds are you currently managing?
I manage PL’s flagship equity strategy Aqua, adaptive; Quantitative; Bias; Alpha, India’s leading style-in-Ost Ost and style-unimaginable Flexic AP PMS. I also manage the MADP-multi-asset dynamic portfolio-the first type of multi-asset PMS that uses quanted models for strategic property allocation using only inactive devices. Together, Aqua and Medp have surpassed the INR 500 crore in AUM and have given an example of our different ‘Man with Machine’ approach-a traditional investment of PL between wisdom and cutting edge quantitative techniques.
Aqua, PL Capital’s main equity PMS, has completed two successful years. By June 30, Aqua delivered a TWR of 28.14%, the benchmark BSE 500 forwarded by 7.61%. This firmly recognizes the systematic, data -based investment structure of Aqua, which is powered by strong quantitative models, adaptive strategy and disciplinary implementation.
What is your investment philosophy and how would you describe your investment strategy?
We have designed adaptive investment strategies that depend on data based models and systematic processes to change between investment styles, areas and risk levels based on the market and macro cycle. Technically, it is a quantitative, rules -based, dynamic multifactor strategy. The main vision is made on the pillars of adaptability, flexibility, dexterity and perfection – which provides a durable, repetitive and holistic method for changing investments in the market regime.
We follow the approach of the “dose” investment, unifying the basic, alternative, technical and quantitative analyzes. Our team has created 25+ ownership factors using more than 1000 indicators, and tested more than 7,500 strategies to strengthen our models. Each decision is guided by structured rules and systematic processes.
What does the kick give you when managing other people’s money?
Making machines that can earn money – that’s what stimulates me. We create models using sophisticated technology and figures. At the same time, we synchronize by translating the understanding of human investment into the rules, which we strictly test in multiple market cycles. Simply put, it is a combination of art and vigil., Where the human intelligence machine is expanded by rigidity and accuracy. This approach invests in a manner. Annik, sophisticated and systematically.
I believe there is always the scope of improving and exploring the endless possibilities of a man’s approach. These include finding smart solutions, creating new facilities and strengthening systems in decision to invest.
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