Global Technology ETFs is a genetic algorithmic strategy focussed specifically on the Technology sector. The algorithm takes a tactical approach to portfolio construction based on the prevailing market conditions as it assesses a universe of global technology ETFs for various risk and return parameters. The objective of the strategy is to optimise the utility derived from higher returns subject to volatility constraints.
The strategy is overseen by an experienced investment committee who reviews the performance of the Kristal on a regular basis and assesses the appropriateness of the risk constraint in any given market scenario.Global Technology ETFs invests to take tactical positions at a more targeted level than traditional style-based investing. It enables investors to acquire a low-cost exposure to technology sector via ETFs that have been characterised by solid risk-adjusted returns. To diversify, a proportion of the holdings provide exposure to international companies.
Why Invest in Global Technology ETFs?
Ideal for medium-high risk profile investors looking for Technology exposure via an actively managed strategy that delivers growth.
When to Invest in Global Technology ETFs?
The Kristal performs best in a growing economic environment.
Returnsbased on historic returns of 36.71% per annum
Subscription & redemption: 1 business day
Valuation day: Daily
Notice period for subscription: 1 business day
Notice period of redemptions: 2 business days
Redemption settlement: 5 business days
Strategy - How is this Kristal managed ?
The strategy is dynamically rebalanced on a monthly basis with discretionary oversight of an experienced investment committee. ETFs are carefully chosen using an algorithm in order to deliver optimal risk-adjusted returns based on a medium-high risk growth portfolio. Individual allocation is further driven by model-driven discretionary tactical trades.
Genetic algorithm is a concept that is inspired by Charles Darwin’s theory of the process of natural selection. Such algorithms imitate natural biological processes like mutation, inheritance, crossover and selection. Genetic algorithms are especially good at solving optimisation problems. This makes them highly applicable in the field of finance. They can solve the problem of portfolio rebalancing optimization efficiently.
We are licensed in Singapore, Hong Kong, and India. Kristal Advisors (SG) Pte. Ltd. (CMS100614-4) presently operates under the CMS license by the Monetary Authority of Singapore (MAS). Kristal Advisors (HK) Ltd. (BHZ135) is licensed and regulated by the Securities and Futures Commission to carry out Type 4 and Type 9 regulated activities and is not involved in the discretionary management of any collective investment scheme. Kristal Advisors Private Ltd. (INA100006852) presently operates as a Registered Investment Advisor under the jurisdiction of the Securities and Exchange Board of India. Kristal, its affiliates and/or its employees may hold positions in the assets discussed herein.
The Content is for informational purposes only, you should not construe any such information or other material as legal, tax, investment, financial, or other advice. Nothing contained in this page constitute a solicitation, recommendation, endorsement, or offer by Kristal.AI or any third party service provider to buy or sell any securities or other financial instruments in this or in in any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction.
All Content on this page is information of a general nature and does not address the circumstances of any particular individual or entity. Nothing in this page constitutes professional and/or financial advice, nor does any information on the page constitute a comprehensive or complete statement of the matters discussed or the law relating thereto. You alone assume the sole responsibility of evaluating the merits and risks associated with the use of any information or other Content on this page before making any decisions based on such information or other Content.