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Financial Modelling & Analysis
Crunching the numbers so you make more money
 
  • Do you lack the time to run the statistical analysis you know you should?
  • Do you lack the time for financial diligence on all investment decisions?
  • Wouldn't you love robust, up-to-date financial models when you need them?
Decision-makers need tools that will translate qualitative and quantitative knowledge of their environment into specific numerical outcomes for their business. ValueNotes has expertise and experience in creating and maintaining robust and reliable financial models that help you assess the implications of alternate scenarios in numerical terms. We have delivered numerous types of analyzes based on financial and statistical models to asset management companies, banks and private equity/ venture capital firms.
  • We can create and update proforma financial models, so you're ready to trade when the market opens
  • We conduct sensitivity analysis to understand how changes in key parameters will affect your business or investments
  • Used for business valuation, our customized financial models are a key tool for M&A intelligence
  • Our financial modeling services help fund managers focus on what they do best – making the right investment decisions
A few examples of financial modeling and analysis projects delivered by ValueNotes:
Statistical analysis of infrastructure stocks’ out-performance for a quant fund : Studied the correlation between infrastructure stocks, specific accounting ratios, and stock out-performance. Our regression and correlation analysis helped the fund manager build screeners for future trading strategy.
Maintenance and update of banking financial models : Periodic updates of a detailed analytical financial model of all major banks in Australia. The database is updated overnight on the day of the results and enables the banking analyst of the client to take a future call on the stock the very next day.
Financial model for listed property companies in Europe : Developed a financial model to evaluate property investments for a newly set up European real estate fund. We built a detailed time-series financial model for a 10-year period of all listed European property companies. The model captured and normalized key financial and statistical data needed for analysis.
Stock rate sensitivity to interest rates and benchmark indices : Detailed statistical analysis of a major banking and financial services stock to establish its relationship (sensitivity) with global and local interest rates (nominal and real) and the benchmark index. Analysis included the use of correlation and regression models to explain past behavior and predict future movements.
Peer analysis & index creation : Statistical analysis of a company’s share price to benchmark performance against its peers. Analysis entailed the construction of a bespoke index for select sector stocks to arrive at the benchmark performance rate to target above the CPI and bank rate.
Analysis of impact on El Nino on commodity prices : Analysis provided included single-factor regressions on time series data for select commodity and stock prices in US and Australia against temperature and precipitation anomalies in key geographical regions.