
Option Market
UTM Lab (through the Variable Capital Company - UTM Lab Funds VCC) uses the option and derivative markets to harness risk premia and generate trading signals. We are a quantitative & algorithmic driven open-ended fund.
UTM Lab (through the Variable Capital Company - UTM Lab Funds VCC) uses the option and derivative markets to harness risk premia and generate trading signals. We are a quantitative & algorithmic driven open-ended fund.
We employ non-directional systematic strategy on liquid options and futures, with a strong focus on capital preservation, sustainable growth, and optimal execution.
Prudent risk management is crucial to all profitable trading strategies. All our positions are monitored real-time through our proprietary trading and risk management system. Fully systematic adaptive adjustment will be performed to migitate risk & exposure - we strike a good balance between objective risk-taking and capital preservation.
UTM Lab specializes in the optimal execution of systematic trading strategies in the option markets. We formulate intuitive yet rigorous algorithmic strategies based on the latest practice & academic research. We enhance our strategies' performance through the use of the latest development in risk analytics to ensure capital preservation and optimal execution.
Strategy is easy, execution is hard.
UTM Lab has a unique combination of expertise in advanced mathematical modeling, academic research, financial markets, and computer science.
UTM Lab's proprietary trading strategies are backed by statistical or behavioral biases in finance. We use advanced modeling techniques to uncover and harness these biases. We also combine the latest innovations in statistical methods into our strategies.
There is a wealth of academic research in the identification of trading and investment strategies. Nevertheless, systematic trading is as much about transaction cost as it is about the strategy itself. We deploy advanced statistical techniques to ensure robust and accurate trade execution.
Even the best strategies will have problems delivering alphas unless we have proper risk management. At UTM Lab, we developed a cutting-edge automated risk control system for real time monitoring and adaptive adjustment.
Naively following the trading strategies published in the academic literature often lead to strongly inferior results. UTM Lab's innovative approach combines the best research with an advanced transaction cost analysis framework for best execution of winning strategies.
Large volume of academic literature identifying investment and trading strategies and risk premia.
Advantage: rigorously tested, robustness proven, justifiable and explanable (behavorial or empirical).
Disadvantage: p-hacking and the existence of different pre-selection biases.
Most academic research focuses on risk premia rather than optimal execution.
The main challenge is how to execute them in an optimal manner once transaction costs is accounted for.
We operate on a no-blackbox principle: all our strategies are grounded on rigorous statistical or behavioral biases. We do not attempt to forecast or predict the market.
Financial data is extremely noisy and non-stationary. With complex models, in-sample is always superb, but out-sample is perennially poor.
We use the latest development in risk analytics and data science to monitor all positions real time, with adaptive adjustment in place.
UTM Lab's trading system is fully automated, this ensures both optimal execution and real-time risk monitoring.
Many trading strategies need constant adaptation to the prevalent market scenario.
Universal Trading Machine (or UTM in short) is a tongue-in-cheek imitation of the Universal Turing Machine concept formulated by Alan Turing in his 1936 landmark paper. He designed special-purpose Turing Machines to print out specific computable numbers. He then showed that a Universal Turing Machine can simulate the output of all Turing Machines.
At UTM Lab, instead of narrowly focusing on a trading algorithm based on a specific strategy, we develop and experiment on a Universal Trading Machine to execute all our research-backed systematic trading strategies in the best possible way.
Turing Machines are customized computers executing specific tasks to produce specific outputs, while a single Universal Turing Machine can mimic the output of all Turing Machines.
Trading Machines are customized execution algorithms following a specific trading strategy, while a Universal Trading Machine can optimally execute a whole family of uncorrelated trading strategies.
Our team consists of financial and computer science experts with a long experience in financial markets as well as in academic finance. As such we are ideally placed to put theory into practice.
Contact us
Sanjay is an experienced professional with a career in Banking and Asset Management. Prior to co-founding UTM Lab and Lucent Investment Associates, he has worked with Standard Chartered, GIC (Govt of Singapore Investment Corporation) and Bank of America (now BAML) in India, Hong Kong and Singapore. He has led businesses ranging from Leveraged Finance, Mergers and Acquisitions and Private Equity and most recently was Global Head, Leveraged and Structured Solutions at Standard Chartered in Singapore. Sanjay has a Masters in Quantitative Finance from Singapore Management University, an MBA from the Indian Institute of Management (IIM), Ahmedabad, India and a Bachelors in Engineering from the Indian Institute of Technology (IIT), Delhi.
Chyng Wen is a co-founder of UTM Lab and Lucent Investment Associates, an Associate Professor of Quantitative Finance at Singapore Management University (SMU), and the Academic Director for the Masters of Science in Quantitative Finance programme at Lee Kong Chian School of Business. His research interest covers quantitative trading, option strategies, market microstructure, and risk analytics. Before joining SMU, he was a desk strategist at Goldman Sachs' Asia Macro Trading Desk at Hong Kong SAR. Prior to that, he was a quantitative analyst at the Fixed Income Division at Morgan Stanley, London. Chyng Wen has a PhD in Engineering from the University of Cambridge, UK, and a BEng from Nanyang Technological University, Singapore.
The Fund Manager for UTM Lab Funds VCC is Lucent Investment Associates, a Registered Fund Management Company (RFMC) regulated by the Monetary Authority of Singapore (MAS).
Connect with us on LinkedIn and check out the live track record of UTM Option Strategies, a sub fund of UTM Lab Funds VCC.
UTM Lab is based in Singapore.