Cashflow-at-Risk (C-FaR) is an attempt to create an analogue to Value at Risk (VaR) that can be used by non-financial firms to quantify various kinds of risk exposures, including interest rate, exchange rate, and commodity price risks. There are two basic ways to attack this problem. One is from the "bottom up," which involves building a detailed model of all of a company's specific exposures. The C-Far approach presented here is a "top-down" method of comparables that looks directly at the ultimate item of interest-the companies' cashflows. The fundamental challenge facing the top-down strategy is that, for any one company, there is not enough data on its own cashflows to make precise statements about the likelihood of rare events. To get around this problem, the authors match a target company with a large set of comparable companies that are expected to have similar cashflow volatility. The comparables are chosen to be close to the target company on four dimensions: (1) market cap; (2) profitability; (3) industry risk; and (4) stock price volatility. 2001 Morgan Stanley.