A major hedge fund needed to enhance it's performance attribution and risk management techniques.
VBA was selected because of its expertise in advanced portfolio risk management and its reputation as a developer of profitable quantitative trading strategies. VBA developed a toolkit for statistical identification and automated hedging of systemic portfolio exposures resulting from various fundamental and technical factors.
A large health care provider had developed a centralized data warehouse for tracking all clinical and transactional data for it's patients. While the resulting database was used to generate various internal and regulatory reports, the reports gave insufficient insight into the factors affecting organizational cost structure and inhibited their ability to optimize business processes.
VBA developed a multi-factor model relating clinical data to treatment costs that proved invaluable in the organization's ability to forecast future budgets, allocate resources and detect inefficiencies.
A power industry start-up company was looking to reinforce its business plan with in-depth industry data analysis and business volume forecasts.
VBA conducted extensive industry wide research analyzing size and capacity of the potential market and linked results into the client's financial business model. In addition, VBA developed inventory management and risk control analytics for the client's future capital equipment fleet.
A major intellectual property merchant bank had developed various quantitative measures of intellectual property patents. The client was able to aggregate those patents to come up with a quantitative measure of the size and quality of a given company's patent portfolio. The client was interested in relating this information to the company's financial valuation.
VBA developed a forecasting model of financial performance based on its relative patent portfolio valuation. The model was used in various aspects of clients business.
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