Financial Analysis And Decision Making

A solid understanding of financial analysis is an essentialbut often overlookedprerequisite to making key strategic decisions.Financial Analysis and Decision Making explains how all professionals can use the tools and techniques of financial analysis to define problems, gather and organize relevant information, and improve problem-solving skills. David E. Vance, C.P.A., is an instructor in the M.B.A. program at Rutgers University School of Business and director of executive development for the Rohrer Center for Management and Entrepreneurship.

Finance for Strategic Decision Making demystifies andclarifies for non-financial executives the basics of financialanalysis. It shows how they can make important financial decisionsthat can critically enhance their institution’s ability torespond to competitive challenges, undertake new projects, overcomefinancial setbacks, and most importantly, create shareholder value.Written by M. P. Narayanan and Vikram K. Nanda—two of thecountry’s leading authorities on financialstrategy—this book offers a practical guide for usingfinancial analysis to enhance strategicdecision making. The bookincludes a coherent framework that outlines practical andintellectually sound guidance for executives who must makestrategic decisions. Finance for Strategic Decision Making Explains the role of finance in corporate strategy Offers guidance on resource allocation decisions Explores how to determine the right balance of debt and equitycapital to maximize firm value Demonstrates how to use payout policy as a strategic tool Clarifies if a merger, acquisition, or divestiture is in thebest interest of an organization Shows how to manage risk Reveals how to measure value created and the effectiveness ofupper level management

Financial Analysis & Decision Making for Healthcare Organizations prepares you for the growth of managed care. Dr. Louis Gapenski gives insightful and practical knowledge about financial risk, opportunity costs, asset valuation and financial instruments. Emphasizing the basics for financial decision making, he focuses on five important financial concepts: cash is king, time value of money, risk and return, opportunity costs, and don't put all your eggs in one basket. With applicable real-world examples, financial tables and self examination exercises, Gapenski weaves these concepts throughout each chapter giving you the operational knowledge you need to enhance your financial decision making.

This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software.

This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).

Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind

Many companies fail to succeed due to poor planning, which is one reason why accountants are in big demand. Skilled at forecasting, accountants can plan a company's future by determining the maximum sustainable growth and predict its external fund requirements. This book provides you with the basic tools necessary to project the balance sheet and statements of income and cash flow, enabling you to add a unique value to your client(s) work. This book will prepare you to do the following: Recall the basics of planning and forecasting financial statements Recall considerations related to a basic forecasting model Identify the evidence of growth mismanagement and develop the skills to determine maximum sustainable growth Apply statistical procedures to forecasting Analyze projected or forecasted financial statements