Hedgeloop is a privately-held investment advisory and technology firm that strives to deliver superior and sustainable returns for our clients by taking an intense research driven approach, applying unsurpassed strategies, innovative investment ideas and risk-averse approach to investing. Our research and trade advisory are diversified across leading economies covering major asset classes.
Our dedicated team, constantly looks for unusual sources of returns in any kind of market environment and enables us to deliver consistent results to variety of clients.
We believe that latest technology advancement in the area of analytics and data processing enables us to look beyond the traditional approach of investment opportunities in the global market. We have a dedicated technology and research team that constantly works towards building mathematical and machine learning based predictive models. This helps the investment team with innovative strategies to maximize returns in volatile markets.
There are two types of people who will tell you that you cannot make a difference in this world: those who are afraid to try and those who are afraid you will succeed. Ray Goforth
Our investment strategies are based on empirical research. Our investment principles are grounded in economic theory and rigorously tested on aggregated data sets and then apply rigorous econometric analysis to test investment ideas before we use them.
Our systematic approach to making investment decisions uses mathematical or statistical models to evaluate data on the fundamental value, risk, liquidity and momentum of many of individual securities, entire asset classes. We also insist on having economic explanations for why our models are doing well and may be expected to continue to do so over the long term.
For tailor made portfolios, we use both bottom up and top down approaches for portfolio construction.
We believe diversification helps investors reduce the overall risk of their portfolios without sacrificing expected return. Accordingly, in many of our strategies we seek to invest across different securities within each asset class, across many asset classes. We also believe in diversifying investments by risk level as well as by capital.
Having a long-term investment horizon is an advantage because it allows investors to bear more near-term risk than those with shorter horizons. In order to truly thrive over the long term, however, it is important to brace yourself for the occasional short-term drawdown.
We undertake both quantitative and qualitative approaches to risk management process by continuously monitoring variables such as value at risk, drawdown, liquidity and counterparty risks.
We intend to create a system which collects years of data, process them, identify patterns, establish correlations among the asset classes, assess the statistical parameters, establish hedges, identify the trend, perform sentiment analysis, build a portfolio and trade on our behalf in any market conditions across regions!
Our technology allows us to process an extremely diverse set of information, basing its analysis on many selected macro, fundamental, technical, sentiment and more traditional factors like growth, value, momentum etc .
Our technology uses its performance prediction along with the knowledge of the volatility and the interrelationships among stocks, currency, commodities, bonds to create a hedge loop as well as individual asset portfolios that balances risk and expected return. This analysis, which typically defies even the largest team of analysts, is performed with scientific vigor transcending the pitfalls of human emotion. Bayesian & Gaussian and decision tree statistics serve as a backbone of our artificial intelligence based predictor. It provides flexible framework that enables to automatically integrate the new data available each day with prior market knowledge in order to predict each asset class.
Nukala Viswanadham obtained BE, ME, PhD degrees from Indian Institute of science (IISc) . He worked as GE Research Fellow and Tata chemicals chair professor, Indian Institute of Science, Bangalore; Deputy Executive Director, the Logistic Institute-Asia Pacific ; Professor in Department of mechanical and production Engineering at the National University of Singapore; Executive Director, Center of Excellence in Global Logistics and Manufacturing strategies, Indian School of Business (ISB),Hyderabad, presently is INSA senior scientist in the computer science and automation at the Indian Institute of Science. Viswanadham was GE Research Fellow (1989-90), Tata Chemicals Chair Professor at IISc, and recipient of Alumni award for Excellence in Research by IISc (1996). He was elected Fellow of the Indian Academy of Sciences, Bangalore, Indian National Academy of Engineering, the Academy of Sciences for the Developing World, and Institute of Electrical and Electronics Engineers. He is the author of three textbooks, six edited volumes , over 80 journal articles and more than 100 conference papers on automation.
V V Phansalkar obtained B.Tech and M.Tech degrees from the Indian Institute of Technology (IIT), Bombay. He obtained his Ph.D. degree from the Indian Institute of Science (IISc), Bangalore. He worked as a Mathematical Modelling Analyst for a trading firm where he was directly involved in building real time trading systems and analysing their performance. He was also faculty in Computer Engg. in Lonavala and Pune and lately Mathematical Modelling at a startup in Pune.
Vishnu applies a mixture of indepth research, ingenuity and out of the box thinking to portfolio advisory, technology, investment process, product development and counterparty relation. In the quest to obtain optimized return, he understood the impact of deep learning on portfolio optimization and works on forecasting models for most of the asset classes across regions. These ideas took shape of Hedgeloop. Vishnu's corporate experience includes working with Citibank and Barclays and combined experience of 10 years in portfolio management. Vishnu's graduated in statistics and pursued masters in business administration (MBA) specializing in Finance from M.S.Ramaiah Istitute of Technology-Bangalore and is currently pursuing CFA.
With a bachelor’s degree in technology from IIT Madras he has earned his MS and PhD in Computer & Information Sciences from University of Illinois, Urbana-Champaign. Dr. Sundararajan is also a part of the Ventureast organization.