New White Paper Identifies Top Five Trends Impacting Cash Flow Forecasting



    A new Visa-commissioned white paper titled, "Trends in Cash Flow
    Forecasting," outlines the current state of short-term cash flow
    forecasting, identifies and analyzes five major trends that are
    impacting cash flow forecasting, and provides four categories of best
    practices.

    Corporate treasurers worldwide are now focusing attention on cash
    flow forecasting for two reasons, according to the paper. First, there
    has been an increase in the sophistication of forecasting processes
    due to recent improvements in information technology and advances in
    forecasting techniques. Second, the problems facing forecasters have
    grown more challenging as a result of increased exports and the
    heavier use of debt in financing.

    The paper, released today at the annual EuroFinance International
    Cash and Treasury Management conference in Vienna, Austria, focuses on
    short-term forecasts that cover the next twelve months and are the
    main concern of corporate treasury departments.

    "Forecasting is critical for companies of all sizes to minimize
    risk, maximize use of working capital and organize returns on
    investment: yet companies have found it difficult historically to
    develop accurate forecasting models because of the inability to
    acquire quality information," said Aliza Knox, senior vice president,
    Visa Commercial, Visa International. "Several of the cash flow
    forecasting trends favor electronic payments and payment cards because
    they provide direct access to easily categorized revenue and spending
    data."

    The five key trends impacting cash flow forecasting are:

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    1. Improving technology is simplifying forecasting process: Firms
    are using better information systems to simplify and enhance
    the forecasting process.

    -- Firms are coming to increasingly rely on treasury
    information systems (TIS) and to make less use of
    spreadsheets. TIS offer advantages because they maintain one
    central forecast, reduce error-prone manual data entry,
    enable greater security controls, provide a clear audit
    trail, and can easily include direct data feeds from other
    sources that can be used in preparing the forecast.

    2. Forecasting function is centralizing: Forecasts are being
    produced more often by corporate headquarters rather than at
    the business-unit level.

    -- TIS facilitate the transfer of information from
    business-units to headquarters. In centralized forecasting,
    a small number of employees at headquarters can focus all of
    their time on forecasting, likely enabling them to become
    experts in managing new techniques to generate superior
    forecasts in less time. In addition, centralization allows
    for uniformity across forecasts of different divisions.

    3. Tougher regulations are driving better-informed forecasts:
    Spillover effects of tighter regulatory controls are leading to
    more informed and data-driven forecasts.

    -- Accurate forecasting can be a critical component of
    regulatory compliance, and securities regulations in some
    countries have directly increased the importance of the
    forecasting function.

    4. New forecasting techniques becoming available: New techniques
    based on statistical and economic analyses are increasingly
    being adopted.

    -- These techniques include: a) project-level forecasts that
    are more accurate than company-level forecasts;
    b) driver-based forecasting, which enables firms to evaluate
    the effects of economic environment changes; c) "Cash Flow
    at Risk," which permits firms to evaluate the risk that a
    disastrous event could lead to a cash shortage;
    d) incorporating forecasts into the investment maturity
    decision-making process to reduce banking transactions'
    costs; and e) cross-country credit analysis and
    international macroeconomic modeling to control
    export-generated cash flow volatility.

    5. Private equity deals are increasing the need for accurate
    forecasts: The drive for better forecasting is strengthening,
    especially in firms purchased by private equity buyout
    investors.

    -- Firms acquired by private equity buyout funds typically
    carry heavy debt loads. These firms need to produce
    especially accurate forecasts to comply with lending
    covenants and to avoid bankruptcy risk.
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    "The benefits created by good cash flow forecasting practices
    range from significant efficiency improvements at cash-rich firms to
    potential protection from insolvency at financially constrained
    enterprises," said Dr. Mark J. Garmaise, PHD, UCLA Anderson School of
    Management, author of the cash flow forecasting white paper. "The
    trends suggest that companies would be wise to incorporate the cash
    flow forecasting model more fully into their operational planning
    strategy to maintain a desired level of liquidity regardless of
    unforeseen activities."

    Best Practices

    The white paper describes four categories of best practice from
    analysis of the five cash flow forecasting trends, including:

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    1. Systems: Integrated firm-wide treasury information systems,
    such as third-party treasury workstations or enterprise
    resource planning treasury modules, are best. Spreadsheet-based
    forecasting is increasingly outdated.

    2. Forecasting Techniques: Driver-based forecasting, using either
    simulations or regressions, is best, especially when combined
    with scenario or statistical analysis that provides a sense of
    the expected future cash flow as well as its range.

    3. Payment Methods: Some form of electronic payment system,
    ideally one including integration with the accounts of
    customers and suppliers, is best. These payment methods can be
    incorporated into new forecast technologies. Electronic payment
    systems also provide data that is useful for
    information-intensive forecasting techniques.

    4. Job Function: The attention of the treasury staff should be
    focused on an analysis of the determinants of cash flow
    variability, not on data collection. Improved technology
    automates the previously all-consuming task of assembling data,
    leaving forecasters with time for more careful study of cash
    flow dynamics.
    *T

    Benefits of Electronic Payments Over Checks

    According to the paper, several of the trends in cash flow
    forecasting favor the use of electronic payments and payment cards
    over checks. For example:

    -- Improved technology and systems integration makes it more
    attractive to use both electronic payments and payment cards,
    because these methods of payment can be incorporated into
    firm-wide computing systems.

    -- Centralization favors electronic payments and cards for
    receivables and payables, because of the direct access to
    information on future promised cash flows that is provided.

    -- Tougher regulations favor electronic payments and cards,
    because they provide control over incoming funds, and allow
    companies to limit access to these funds to authorized
    parties. In addition, limiting corporate purchases to
    electronic payments and cards makes it easier for firms to
    monitor cash outflows and prevent unauthorized expenditures,
    because these payments are easier to document and provide an
    audit trail.

    -- Advanced new forecasting techniques suggests use of electronic
    payments and cards, because they offer disaggregated revenue
    and spending data that can easily be categorized and studied.

    Methodology

    To analyze the current state of cash flow forecasting and
    developments that are likely to be important in the future, Visa
    commissioned Dr. Garmaise, an expert on corporate finance and banking,
    to identify and analyze more than 75 pieces of secondary research. Dr.
    Garmaise also conducted primary research interviews with six
    organizations of varying sizes across several industries worldwide to
    learn more about their current and future cash flow forecasting
    processes.

    To view the entire cash flow forecasting white paper, visit
    www.visa.com/cashflowforecasting.

    Notes to Editors:

    About Dr. Mark J. Garmaise, author of the cash flow forecasting
    study: Dr. Garmaise, an expert on corporate finance and banking, is
    currently Assistant Professor of Finance at the UCLA Anderson School
    of Management in Los Angeles, California, where he has been teaching
    for the past six years. Among his publications are "Informal Financial
    Networks: Theory and Evidence," (with Tobias Moskowitz), Review of
    Financial Studies, and "Confronting Information Asymmetries: Evidence
    from Real Estate Markets," (with Tobias Moskowitz), Review of
    Financial Studies. Dr. Garmaise was an Assistant Professor at the
    University of Chicago Graduate School of Business before joining the
    faculty at UCLA Anderson.

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    About Visa: Visa operates the world's largest retail electronic
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