Machine learning techniques were applied to a large financial transactions dataset of about one billion rows to uncover its short term dynamical features and these were used to design an algorithmic trade execution technology that was able to reduce transaction costs by more than 50%. The project was carried out for a hedge fund.
BSQ Research was retained by a small software company to analyze their financial and accounting data and prepare a financial model and a cash flow model, in preparation for a sale of the company to outside investors.
BSQ Research experts have designed a risk analytics and risk management framework for a California hedge fund, along with a position sizing algorithm and a risk reporting framework. We also compiled daily risk reports using Riskmetrics® and carried out some of the real time risk management functions.
BSQ researchers constructed a database system for the storage and analysis of customer data, along with a web based front end for data collection, for a franchise network for fashion industry training, that is spread across several Midwestern states of USA.
BSQ researchers have constructed models based on macroeconomic and internal business data to analyze and predict product demand for one of the world’s largest chemical companies. These models are part of the client’s decision support system for making strategic decisions such as the timing of capacity expansions. Our researchers have also constructed similar economic models for one […]
BSQ researchers have constructed both data collection systems and economic models to monitor the national economies of Spain, Indonesia, Mexico and Jordan. These projects were carried out in collaboration with teams from the Spanish Ministry of Finance, Bank Indonesia, Banco de Mexico, and the Central Bank of Jordan, respectively.
BSQ researchers have constructed indexes to monitor various aspects of U.S. economy such as growth, inflation, trade, commodity prices, housing and financial services. They have also constructed indexes to forecast growth and inflation.