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Cash Flow Forecasting

Budgets are like road maps -- they provide a direction for a corporates financial management. Balance sheets and statements of revenues also provide insights into how well a company is following that direction. But cash flow and cash flow forecasts are what guide the day-to-day itinerary for an organization. Budgets and cash flow are dynamic -- adjustments and changes can and should occur. If you understand what you are looking at, you can use cash flow to create better budgets and thus more accurate cash flow forecasting. Cash Flow Forecasting outlines the techniques required to undertake a detailed analysis of the cash flow dynamics of the business from both a historical and forward looking perspective. Cash Flow Forecasting explains how to: * Determine appropriate cash flow figures from pro forma financial statements * Interpret detailed cash flow forecasts and understand the difference between profit and cash flow * Conserve or generate cash in the short term * Evaluate different methods of project evaluation * Recognize the limitations of accounting information in valuing companies *Inspired by basic entry level training courses that have been developed by major international banks worldwide * Will enable students and those already in the finance profession to gain an understanding of the basic information and principles of cash flow forecasting * Includes questions with answers, study topics, practical "real world" examples and extensive bibliography

THE POWER OF THE PURSE: HOW SMART BUSINESSES ARE ADAPTING TO THE WORLD'S MOST IMPORTANT CONSUMERS—WOMEN

Women now drive some 80% of all buying decisions. By 2010, they'll account for half of America's private wealth: $13 trillion dollars. A few remarkable companies have learned how to refocus on women -- and, in so doing, have achieved truly stunning results. In The Power of the Purse, top journalist Fara Warner takes you behind the scenes at those companies, revealing how they did it -- and how you can, too. Unlike previous books on marketing to women, this one doesn't settle for generalities: it offers in-depth, start-to-finish case studies. Discover how McDonald's turned around its business by recognizing women as full-fledged consumers, not just 'Moms.' Learn how Kodak's digital camera business soared from fourth to first by recognizing women's importance as family 'memory makers'. See how P G built Swiffer into a cultural revolution, and how the diamond industry did the same for right-hand rings. Watch Bratz topple Barbie, Torrid create its enormously successful plus-size stores for teenagers, and Avon connect with a radically new generation of women. From Nike to Home Depot, each story is unique -- but in every case, these companies put women at the center of their strategies, and listened intently to what real women consumers were telling them. It's not about 'painting your products pink': it's about transforming the way you think about women. Do that, and you'll create products that sell better to everyone.

Modelling Stock Market Volatility

This essay collection focuses on the relationship between continuous time models and Autoregressive Conditionally Heteroskedastic (ARCH) models and applications. For the first time, Modelling Stock Market Volatility provides new insights about the links between these two models and new work on practical estimation methods for continuous time models. Featuring the pioneering scholarship of Daniel Nelson, the text presents research about the discrete time model, continuous time limits and optimal filtering of ARCH models, and the specification and estimation of continuous time processes. This work will lead to a rapid growth in their empirical application as they are increasingly subjected to routine specification testing. Key Features * Provides for the first time new insights on the links between continuous time and ARCH models * Collects seminal scholarship by some of the most renowned researchers in finance and econometrics * Captures complex arguments underlying the approximation and proper statistical modelling of continuous time volatility dynamics