Finance and accounting Books

Book SynopsisThe Handbook of European Fixed Income Marketspresents extensive and in-depth coverage of every aspect of the European fixed income markets and their derivatives. This book will cover both developed markets such as the UK, France, Germany, Italy, Spain, and Holland, as well as emerging markets in Eastern Europe.Trade Review"...diversity and what looks to be a rigorous editorial oversight ensure an approach that combines theory with market practice." (Financial Times, March 2004)Table of ContentsPREFACE. ABOUT THE EDITORS. CONTRIBUTING AUTHORS. SECTION ONE: Background. CHAPTER 1: Introduction to European Fixed Income Securities and Markets (Moorad Choudhry, Frank J. Fabozzi, and Steven V. Mann). CHAPTER 2: Bondholder Value versus Shareholder Value (Claus Huber). CHAPTER 3: Bond Pricing and Yield Measures (Frank J. Fabozzi and Steven V. Mann). CHAPTER 4: Measuring Interest Rate Risk (Frank J. Fabozzi and Steven V. Mann). SECTION TWO: Products. CHAPTER 5: The Euro Government Bond Market (Antonio Villarroya). CHAPTER 6: The Eurobond Market (David Munves). CHAPTER 7: The German Pfandbrief and European Covered Bonds Market (Graham “Harry” Cross). CHAPTER 8: European Inflation-Linked Bonds (Barclays Capital Inflation-Linked Research Team). CHAPTER 9: The United Kingdom Gilts Market (Moorad Choudhry). CHAPTER 10: The European Repo Market (Moorad Choudhry). CHAPTER 11: European Residential Mortgage-Backed Securities (Phil Adams). CHAPTER 12: European Commercial Mortgage-Backed Securities (Phil Adams). CHAPTER 13: European Credit Card ABS (Markus Niemeier). CHAPTER 14: European Auto and Consumer Loan ABS (Markus Niemeier). CHAPTER 15: Structured Credit: Cash Flow and Synthetic CDOs (Oldrich Masek and Moorad Choudhry). SECTION THREE: Interest Rate and Credit Derivatives. CHAPTER 16: European Interest Rate Futures: Instruments and Applications (Brian A. Eales). CHAPTER 17: Interest Rate Options (Lawrence Galitz). CHAPTER 18: Pricing Options on Interest Rate Instruments (Brian A. Eales and Radu Tunaru). CHAPTER 19: Interest Rate Swaps (Frank J. Fabozzi and Steven V. Mann). CHAPTER 20: A Practical Guide to Swap Curve Construction (Uri Ron). CHAPTER 21: Credit Derivatives (Richard Pereira, Rod Pienaar, and Moorad Choudhry). CHAPTER 22: The Pricing of Credit Default Swaps and Synthetic Collateralized Debt Obligations (Greg Gentile, David Jefferds, and Warren Saft). SECTION FOUR: Portfolio Management. CHAPTER 23: Fixed Income Risk Modeling for Portfolio Managers (Ludovic Breger). CHAPTER 24: An Empirical Analysis of the Domestic and Euro Yield Curve Dynamics (Lionel Martellini, Philippe Priaulet, and Stéphane Priaulet). CHAPTER 25: Tracking Error (William Lloyd, Bharath K. Manium, and Mats Gustavsson). CHAPTER 26: Portfolio Strategies for Outperforming a Benchmark (William T. Lloyd and Bharath K. Manium). CHAPTER 27: Credit in Bond Portfolios (Claus Huber and Helmut Kaiser). CHAPTER 28: Default and Recovery Rates in the Emerging European High-Yield Market (Mariarosa Verde CHAPTER 29: Analysis and Evaluation of Corporate Bonds (Christoph Klein). SECTION FIVE: Legal Considerations. CHAPTER 30: Legal and Documentation Issues on Bonds Issuances (Lourdes Villar-Garcia and Trusha Patel). CHAPTER 31: Trust and Agency Services in the Debt Capital Markets (Nick Procter and Edmond Leedham). INDEX.

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Book SynopsisAs the growth of the Internet and other factors shift power to consumers, there is relentless pressure on corporations to keep prices low. Increasingly, corporations rely on "margin management" as well as supply chain management to maintain competitiveness and raise profits.Trade Review"IIE member and seminar instructor Gray Cokins adds a new book to his list of accomplishments." (IEE Solutions - Book of the Month 1/02)Table of ContentsPreface vii 1 Removing the Blindfold with ABC/M 1 2 A Management Accounting Framework: A Taxonomy 32 3 Are All Your Trading Partners “Worth It” to You? 99 4 The Internet, E-Commerce, Supply Chain Management, and Digital Economies: Where Does ABC/M Fit In? 149 5 The Holy Grail: Performance Measure Systems That Produce the Correct Behavior 197 6 Popular Uses of ABC/M 226 7 ABC/M Integrates with Other Software Tools 279 8 Predictive Costing, Predictive Accounting 285 9 Implementing ABC/M Through Rapid Prototyping 325 10 Common Misconceptions about ABC/M and Employee Buy-In 345 11 Stage Five Cost Systems: The Future of ABC/M 352 Appendix 360 Index 368

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Book SynopsisHow to spot emerging growth stocks----and make money by investing in small, fast--growing companies. Gives down--to--earth guidance on how to pick stocks that will outperform the market and how to avoid those that will fail. Includes what to look for in small companies, how to analyze them, and how to diversify among them.Table of ContentsWHETHER TO PLAY, WHEN TO PLAY. The Promise of Emerging Growth. Cycles of Valuation: When to Play, and When to Stay on theSidelines. SELECTING STOCKS AND CONSTRUCTING YOUR PORTFOLIO. Basic Stock Selection Techniques. Tough Businesses and Common Problems. Visibility and Recurring Revenue. Spectradyne: Anatomy of a Winner. Why the Odds Favor Service Companies. Home-Run Stocks. Creating and Using Models for Stock Selection. Valuing Individual Stocks. BUYING AND SELLING. Liquidity and Trading Strategies. Selling Stocks. FROM THEORY TO PRACTICE. Profiles in Growth. Putting It All to Work. Appendix. Index.

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Book SynopsisRevolutionary techniques that traders can implement to improve profits and avoid losses No trader, professional or individual, can afford not to have a solid risk management program integrated into his or her trading system. But finding a precise mathematical model to replace subjective decision-making processes is a challenge. Traditionally, risk management has focused solely on loss avoidance, but in Trading Risk, hedge fund risk manager Kenneth Grant presents some-thing completely newhow to manage a portfolio to minimize risk and increase profits by putting more capital at risk. Trading Risk details a risk management program that can help both money managers and individual traders evaluate which elements in a portfolio are working efficiently and which aren't. By illustrating an extremely simple set of statistical and arithmetic tools this book can help readers enhance their performance in many financial markets. Kenneth L.Grant is Cheyne's Global Risk Manager, and is theTable of ContentsPreface ix Acknowledgments xiv Chapter 1 The Risk Management Investment 1 Chapter 2 Setting Performance Objectives 19 Optimal Target Return 21 Nominal Target Return 24 Stop-Out Level 26 The Beach 32 Chapter 3 Understanding the Profit/Loss Patterns over Time 37 And Now to Statistics, but First a Word (or More) about Time Series Construction 39 Time Units 40 Time Spans 43 Graphical Representation of Daily P/L 48 Histogram of P/L Observations 51 Statistics 53 A Tribute to Sir Isaac Newton 53 Average P/L 56 Standard Deviation 57 Sharpe Ratio 65 Median P/L 68 Percentage of Winning Days 68 Performance Ratio, Average P/L, Winning Days versus Losing Days 69 Drawdown 70 Correlations 73 Putting It All Together 79 Chapter 4 The Risk Components of an Individual Portfolio 81 Historical Volatility 84 Options Implied Volatility 86 Correlation 90 Value at Risk (VaR) 91 Justification for VaR Calculations 92 Types of VaR Calculations 94 Testing VaR Accuracy 98 Setting VaR Parameters 99 Use of VaR Calculation in Portfolio Management 102 Scenario Analysis 104 Technical Analysis 106 Chapter 5 Setting Appropriate Exposure Levels (Rule 1) 109 Determining the Appropriate Ranges of Exposure 110 Method 1: Inverted Sharpe Ratio 111 Method 2: Managing Volatility as a Percentage of Trading Capital 114 Drawdowns and Netting Risk 129 Asymmetric Payoff Function 130 Chapter 6 Adjusting Portfolio Exposure (Rule 2) 133 Size of Individual Positions 134 Directional Bias 135 Position Level Volatility 141 Time Horizon 142 Diversification 144 Leverage 146 Optionality 148 Nonlinear Pricing Dynamics 149 Relationship between Strike Price and Underlying Price (Moneyness) 149 Implied Volatility 150 Asymmetric Payoff Functions 150 Leverage Characteristics 151 Summary 154 Chapter 7 The Risk Components of an Individual Trade 155 Your Transaction Performance 156 Key Components of a Transactions-Level Database 157 Defining a Transaction 158 Position Snapshot Statistics 160 Core Transactions-Level Statistics 161 Trade Level P/L 162 Holding Period 162 Average P/L 163 P/L per Dollar Invested (Weighted Average P/L) 164 Average Holding Period 164 P/L by Security (P/L Attribution) 165 Long Side P/L versus Short Side P/L 166 Correlation Analysis 168 Number of Daily Transactions 170 Capital Invested 171 Net Market Value (Raw) 172 Net Market Value (Absolute Value) 173 Number of Positions 174 Holding Periods 175 Volatility/VaR 177 Other Correlations 179 Final Word on Correlation 179 Performance Success Metrics 184 Methods for Improving Performance Ratios 189 Performance Ratio Components 190 Maximizing Your P/L 192 Profitability Concentration (90/10) Ratio 200 Putting It All Together 208 Chapter 8 Bringin’ It on Home 213 Make a Plan and Stick to It 214 If the Plan’s Not Working, Change the Plan 218 Seek to Trade with an “Edge” 219 Structural Inefficiencies 220 Methodological Inefficiencies 223 Play Your P/L 226 Avoid Surprises—Especially to Yourself 234 Seek to Maximize Your Performance at the Margin 236 Seek Nonmonetary Benefits 237 Apply Liberal Doses of Humility and Humor 242 Be Healthy/Cultivate Other Interests 244 Appendix Optimal f and Risk of Ruin 245 Optimal f 246 Risk of Ruin 250 Index 253

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Book Synopsis"A virtual bible of how economic indicators are constructed and used. Important tidbits of history are mixed with present-day nuances to explain why we should care about all the economic indicators.Table of ContentsIllustrations v Preface ix Acknowledgments xiii CHAPTER 1 Cycles, Markets, and Participants 1 CHAPTER 2 National Income and Product Accounts 23 CHAPTER 3 The Consumer Sector 53 CHAPTER 4 Investment Spending 87 CHAPTER 5 The Foreign Sector 115 CHAPTER 6 The Government Sector 129 CHAPTER 7 Inflation 135 CHAPTER 8 The Labor Market 175 CHAPTER 9 Other Measures of Production 201 CHAPTER 10 The Federal Reserve System 227 CHAPTER 11 The Treasury 261 CHAPTER 12 Making Strategic Investment Decisions 279 Appendix A Sources of Information 303 Appendix B Economic Indicator Releases by Statistical Agency 309 Notes 313 Bibliography 319 About the Author 329 Index 331

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisUpdated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process. It also discusses simulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Ball and Excel contains instructions, theory, and practical example models to help apply risk analysis to such areas as derivative pricing, cost estimation, portfolio allocation and optimization, credit risk, and cash flow analysis. It includes the resouTable of ContentsPreface xi Acknowledgments xvii About the Author xix Chapter 1 Introduction 1 1.1 Financial Modeling 2 1.2 Risk Analysis 2 1.3 Monte Carlo Simulation 4 1.4 Risk Management 8 1.5 Benefits and Limitations of Using Crystal Ball 9 Chapter 2 Analyzing Crystal Ball Forecasts 11 2.1 Simulating a 50–50 Portfolio 11 2.2 Varying the Allocations 22 2.3 Presenting the Results 27 Chapter 3 Building A Crystal Ball Model 29 3.1 Simulation Modeling Process 29 3.2 Defining Crystal Ball Assumptions and Forecasts 30 3.3 Running Crystal Ball 33 3.4 Sources of Error 34 3.5 Controlling Model Error 36 Chapter 4 Selecting Crystal Ball Assumptions 37 4.1 Crystal Ball’s Basic Distributions 37 4.2 Using Historical Data to Choose Distributions 55 4.3 Specifying Correlations 64 Chapter 5 Using Decision Variables 79 5.1 Defining Decision Variables 79 5.2 Decision Table with One Decision Variable 81 5.3 Decision Table with Two Decision Variables 87 5.4 Using OptQuest 98 Chapter 6 Selecting Run Preferences 105 6.1 Trials 105 6.2 Sampling 109 6.3 Speed 111 6.4 Options 113 6.5 Statistics 115 Chapter 7 Net Present Value and Internal Rate of Return 117 7.1 Deterministic NPV and IRR 117 7.2 Simulating NPV and IRR 119 7.3 Capital Budgeting 123 7.4 Customer Net Present Value 133 Chapter 8 Modeling Financial Statements 137 8.1 Deterministic Model 137 8.2 Tornado Chart and Sensitivity Analysis 138 8.3 Crystal Ball Sensitivity Chart 139 8.4 Conclusion 143 Chapter 9 Portfolio Models 145 9.1 Single-period Crystal Ball Model 145 9.2 Single-period Analytical Solution 148 9.3 Multi-period Crystal Ball Model 149 Chapter 10 Value at Risk 155 10.1 VaR 155 10.2 Shortcomings of VaR 157 10.3 Conditional Value at Risk 157 Chapter 11 Simulating Financial Time Series 163 11.1 White Noise 163 11.2 Random Walk 165 11.3 Autocorrelation 166 11.4 Additive Random Walk with Drift 170 11.5 Multiplicative Random Walk Model 173 11.6 Geometric Brownian Motion Model 176 11.7 Mean-reverting Model 180 Chapter 12 Financial Options 187 12.1 Types of Options 187 12.2 Risk-neutral Pricing and the Black-Scholes Model 188 12.3 Portfolio Insurance 192 12.4 American Option Pricing 194 12.5 Exotic Option Pricing 197 12.6 Bull Spread 201 12.7 Principal-protected Instrument 201 Chapter 13 Real Options 205 13.1 Financial Options and Real Options 205 13.2 Applications of Real Options Analysis 206 13.3 Black-Scholes Real Options Insights 209 13.4 Real Options Valuation Tool 211 Chapter 14 Credit Risk 221 14.1 Expected Loss 221 14.2 Credit Risk Simulation Model 223 14.3 Conditional Value at Risk 225 14.4 Using CVaR to Manage Credit Risk 227 Chapter 15 Construction Project Management 229 15.1 Project Description 229 15.2 Choosing Construction Methods 231 15.3 Risk Analysis 231 15.4 Stochastic Optimization 234 Chapter 16 Oil and GasExploration 235 16.1 Well Properties 235 16.2 Statistical Models 236 16.3 Conclusion 239 Appendix A Crystal Ball’s Probability Distributions 241 A.1 Bernoulli 241 A.2 Beta 243 A.3 Beta PERT 244 A.4 Binomial 246 A.5 Custom 247 A.6 Discrete Uniform 251 A.7 Exponential 252 A.8 Gamma 254 A.9 Geometric 255 A.10 Hypergeometric 257 A.11 Logistic 259 A.12 Lognormal 260 A.13 Maximum Extreme 262 A.14 Minimum Extreme 263 A.15 Negative Binomial 264 A.16 Normal 266 A.17 Pareto 267 A.18 Poisson 269 A.19 Student’s t 270 A.20 Triangular 272 A.21 Uniform 273 A.22 Weibull 275 A.23 Yes-No 276 Appendix B Generating Assumption Values 279 B.1 Generating Random Numbers 279 B.2 Generating Random Variates 282 B.3 Latin Hypercube Sampling 284 Appendix C Variance Reduction Techniques 287 C.1 Using Crystal Ball to Value an Asian Option 288 C.2 Antithetic Variates 289 C.3 Control Variates 289 C.4 Comparison 290 C.5 Conclusion 292 Appendix D About the Download 293 Glossary 297 References 301 Index 311

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Book SynopsisA comprehensive guide to technical analysis for both the novice and the professional Technical analysis is a vital tool for any trader, asset manager, or investor who wants to earn top returns. Successful Stock Signals for Traders and Portfolio Managers lets you combine technical analysis and fundamental analysis using existing technical signals to improve your investing performance. Author Tom Lloyd Sr. explains all the technical indicators you need to know, including moving averages, relative strength, support and resistance, sell and buy signals, candlesticks, point and figure charts, Fibonacci levels, Bollinger Bands, and both classic and new indicators. Merging these technical indicators with fundamental analysis will keep you in a portfolio of outperforming stocks, sharpen your fundamental buy discipline, and put your sell discipline on autopilot. Includes case studies applying technical analysis to current trending and hotly debated stocks like FaceTable of ContentsPreface xvii Acknowledgments xxi Chapter 1 Using Moving Averages and Relative Strength Performance to Beat the Index 1 Relative Strength Index, Money Flow Index, Keltner Channels, and Standard Deviation, with Apple Exhibits Know the Playing Field 1 Apple Computer’s 200-Day Moving Average 3 20-, 50-, and 200-Day Moving Averages 4 Relative Strength versus the S&P 500 Index 6 Keltner Channels 8 Mean Reversion 8 Breakout Signal 9 Apple’s Top at $ 644 9 Relative Strength Index (RSI) 10 Money Flow Index (MFI) 10 Standard Deviation (StdDev) 11 Relative Strength Performance, AAPL: $SPX 11 Supply and Demand 12 Summary 13 Chapter 2 On-Balance Volume, Accumulation/Distribution, Chaikin Money Flow, Pivot Point, Resistance and Support, and Point & Figure Chart, with Apple and Google Exhibits 15 Price and Volume 16 Chaikin Money Flow (CMF) 18 Moving Average Convergence/Divergence (MACD) 18 Value-Added Signals 19 Using Moving Averages 19 Pivot Point, Support and Resistance Points 20 Reverse Head-and-Shoulders Bottom 20 Apple Earnings Report 21 Case Study Questions on Apple 22 Planning for Apple’s Earnings Report 22 You Must Now Make a Decision on Apple before Earnings 25 Answers to the Case Study Questions 25 Summary of the Apple Case Study 30 Google Case Study 30 Summary of the Google Case Study 38 Chapter 3 Bottoms and Tops, Buying and Selling Cycles, and Percentage Price Oscillator (PPO), with IBM and Hewlett-Packard Exhibits 39 Inverted Head-and-Shoulders Bottom 39 Double Top and “V” Bottom 41 Resistance 41 Cycles 42 Writing Puts and Calls 42 The “Cloud Stocks” for the Future 43 Long-Term Investing 43 Buy-and-Hold Strategy Is Problematic 44 Hewlett-Packard Case Study 46 Case Study Answer 47 Percentage Price Oscillator (PPO) 49 My Answer to the Case Study 51 Summary 51 Chapter 4 Sell Signals 53 Double Top, Failed Momentum, 10- and 20-Day Trends, Broken Support, Aroon Oscillator, and Directional Movement with ADX, with Herbalife Exhibits Technical Signals before a Blowup 53 Technical Signals after a Blowup 54 Double-Top Warning 56 The 10- and 20-Day Moving Average Signals 58 Aroon Oscillator and Directional Movement 59 Comments after the Herbalife Blowup 60 Herbalife Case Study Challenge 62 Answers to the Case Study Questions 64 The Daily Chart Looks More Bearish 65 Summary 67 Chapter 5 Supply and Demand, Candlestick Signals, and Point & Figure Chart, with Facebook Exhibits 69 Candlestick Sell Signal for Facebook 69 Failed Facebook versus Lucky LinkedIn 70 Portfolio Managers Prefer Fundamental Analysis 71 The Facebook IPO Game 72 Facebook Selloff 73 Facebook Dives Because of Supply 74 Traders Look for Inefficient Markets 75 Facebook Secrets Took Price Down 76 Facebook: The Rush to Sell on the First Day 77 Facebook Price in Search of a Bottom 78 Why Is Price Going Down? 79 Seeing Demand/Supply on the Chart 80 Waiting for Buy Signals 81 Picture of a “Busted IPO” 82 Point & Figure Chart Shows Continued Selling 83 On-Balance Volume 86 Accumulation/Distribution 86 Summary Picture of Supply and Demand 88 Facebook’s First Earnings Report 88 CMF Signal 89 MFI and MACD Signals 90 Gravestone Doji Candlestick Signal 90 Pivot Point Support/Resistance Levels 91 Day–Trading Signals 91 Tremendous Supply Overhang 93 Summary 93 Chapter 6 Breakout Signals 95 Ascending Triangle, Bullish Rectangle,Double Bottom, and Falling Wedge,with Microsoft, Lululemon, and Home Depot Exhibits Double Bottom and Bullish Rectangle Breakout 95 What Is Wrong with Microsoft? 96 What Caused Microsoft to Break Out? 98 Falling Wedge Signals Double Bottom 100 Candlestick Hammer a Bullish Reversal Signal 100 Case Study: Home Depot Ascending Triangle 101 Summary 104 Chapter 7 Relative Strength Index, Stochastic, and MACD, with Lululemon Exhibits 105 Case Study: Lululemon before Earnings Are Reported 108 What Are You Ready to Do? 110 Answer to the Case Study 111 Now Are You Ready to Sell Call Options? 112 False Sell Signals in the 200-Day and Relative Strength 117 Summary 120 Chapter 8 Blow-Off Top, Trend Line Reversal, Channel Breakout, and Fan Lines, with Green Mountain Coffee Exhibits 121 Why Study Stocks that Blow Up? 121 How to Make Money When a Stock Crashes 122 Blow-Off Top and Trend Reversal 122 Sell Signals before the Fall 123 Selling Short after Einhorn’s Presentation 126 The Fatal Sell Signals 127 Bottom Fishing Green Mountain a Year Later 128 Looking for Buy Signals 130 Trading the Dead Cat Bounce 132 Summary 134 Chapter 9 Classic Top, Death Cross, Double Bottom, Bull Trap, and Dead Cat Bounce, with Netflix Exhibits 135 Classic Top: End of a Long-Term Uptrend 135 You Must Have a Sell Discipline 136 Death Cross, Dead Cat Bounce to a Bull Trap, Double Bottom 138 Buy Signals to Double Your Money on the Dead Cat Bounce 139 Dead Cat Bounce Up Fails 141 Broken “W” Bottom—Negative Surprise 144 Second Dead Cat Bounce and Second Failure 147 Summary 148 Chapter 10 Gaps, Divergences, Breakdowns and Breakouts, Oscillators, with Research In Motion Exhibits 149 Apple versus Research In Motion, Stock Pairs Hedging 149 The Fall of Research In Motion from $148 to $ 35 151 Negative Divergence 152 Double Bottom, Dead Cat Bounce, Double Top, Capitulation 154 Oversold/Overbought Oscillator 155 Trading the Dead Cat Bounce 155 Research In Motion Breakout Buy Signals 156 Research In Motion’s Double-Top Dive from $88 to $ 6 160 Research In Motion: All Signals Bearish for Three Years 161 Summary 163 Chapter 11 Relative Strength, Elliott Wave, and Fibonacci Levels, with Priceline Exhibits 165 Guidelines for Success 165 Priceline Five-Year Performance versus Apple 166 Case Study Challenge for Priceline 167 Fundamental Models 168 Priceline Short-Term Daily Chart Signals 169 Priceline Long-Term Weekly Chart 171 Answer to the Priceline Case Study 175 My Postmortem Article on MarketWatch.com 176 Proactive before Earnings 178 Elliott Wave Targets a $440 Downside Test 179 Summary 180 Chapter 12 Evolution of Technical Signals from A to Z, with LinkedIn Exhibits 183 LinkedIn IPO Successful 184 LinkedIn Selloff after Doubling the First Day 184 Practice with the LinkedIn Signals 186 Do You Buy LinkedIn on Weakness? 186 LinkedIn Case Study Challenge 189 Wall Street Price Targets for LinkedIn 190 What the Quants Are Saying 191 What the Charts Are Saying About Demand and Supply 193 Your Decision Required before LinkedIn Earnings Are Announced 196 Answers to the LinkedIn Case Study 197 Summary 202 Chapter 13 Using the 200-Day Moving Average and Relative Strength to Rotate In and Out of Winners, with Starbucks Exhibits 203 Portfolio Managers Create Price Trends 205 What Do Portfolio Managers Look At? 206 What Do Traders Look At? 207 Monthly Chart for Portfolio Managers 207 Leading Sell Signals 209 What Will the Weekly Chart Do for the Portfolio Manager? 211 Positive Up Arrows in Exhibit 13.3 213 How Do You Trade Starbucks Short Term? 214 Day Trading Starbucks after Good Earnings 217 Summary 222 Chapter 14 Technical Signals for Your Buy and Sell Discipline, from Stochastics to the 200-Day Moving Average, with Chipotle Mexican Grill Exhibits 223 Price Jumps on the Analyst Upgrade 225 Day Trading the News 226 Trading Systems 227 Trading Information 228 Day-Trading Buy Signals 228 Sell Signals on the Short-Term Daily Chart 230 Buying at the Bottom 230 Change in Character from Bull to Bear 232 Selling at the Top 232 Hammer Candlestick Reversal Signal 235 Counting Down with Fibonacci and Elliott 236 Optimize Entry Level after Fundamental Buy Signal 236 Waiting for the Bottom 238 Summary 239 Chapter 15 Using Money Flow, Trend Lines, RSI, Stochastic, MACD, and Buy/Sell Signals to Rotate In and Out of Losers, with J.P. Morgan and Goldman Sachs Exhibits 241 J.P. Morgan and Goldman Sachs versus the Regulators 242 J.P. Morgan Buy/Sell Signals 243 Signals for Stocks in a Trading Range 245 Buying the Bottom for a Trade 247 Trader’s Buy Signals 247 Portfolio Manager’s Buy/Sell Signals 248 Goldman Sachs, Best of Breed 252 Goldman’s Latest Sell Signal 252 Is the Goldman Sachs Bottom at $86 or $43? 255 Summary 257 Chapter 16 Day Trading Using Candlesticks, Real-Time Volume and Price, RSI, MFI, MACD, and 20- to 50-Minute Moving Averages, with Salesforce Exhibits 259 What Is the World of Trading? 259 Trading Technology 261 How Has Technical Analysis Changed? 262 Trading Profitably 263 Case Study in Trading Salesforce.com 264 Answers to Monday’s Day-Trading Example 267 Time for the Second Trade on Monday— What Will You Do? 270 Answer to the Second Trade on Monday 271 Third Trade for Monday 272 Answer to Monday’s Third Trade 272 Tuesday’s Day-Trading Case Question for You to Answer 275 Answer to Tuesday’s Case Study Challenge 275 There Is Much More to Day Trading 279 Summary 279 Chapter 17 Investors Need Reliable Signals 281 50- and 200-Day Moving Averages, Money Flow,Relative Strength, and Directional Movement,with Apple, Home Depot and Wal-Mart Exhibits Finding Great Stocks Such as Apple 282 Dow 30 Stocks 284 Home Depot—Anatomy of a Buy 286 Technical Analysis with Fundamentals 290 Wal-Mart—Anatomy of a Buy on Weakness 291 Summary 294 Chapter 18 Traders Need Stocks to Trade 295 Using Candlesticks, Volume, 10-Minute Chart,Stochastic, MACD, and RSI, with Gamestop,Green Mountain Coffee, and JCPenney Exhibits Traders Are Early Birds 296 Traders Are Opportunistic 297 Traders Have a List of Longs and Shorts 298 Gamestop on the Long List but It’s a Trading Short 298 Trading the Positive Surprise in Green Mountain Coffee 303 Why No Short Squeeze in Green Mountain Coffee? 306 Preparing a Trader’s Short List 306 Summary 308 Chapter 19 Winning in the Stock Market Using Technical Analysis, S&P 500 Index, SPY, and Reading the Market, with SPY Exhibits 309 What Is the Current Status of the Market? 310 Elliott Waves 312 Using the Stock Trader’s Almanac 312 Identifying Tops in the Market 313 Is This a Market Top? 314 Percentage Price Oscillator’s Buy/Sell Signals 314 Moving Average Convergence Divergence’s Buy/Sell Signals 316 Know Sure Thing Buy/Sell Signals 317 Keltner Channels Buy/Sell Signals 317 Closer View of the Monthly Chart 318 Switching to the Weekly Chart (Exhibit 19.3) 321 The Daily Chart Everyone Uses First 323 The Day Trader Is Trying to Dodge the Fiscal Cliff News 325 Day-Trading 5-Minute Chart (Exhibit 19.5) 326 Trader’s Buy Signals (Blue Line in Exhibit 19.5) 328 Trader’s Sell Signals (Red Line on Exhibit 19.5) 330 Summary 331 About the Companion Website 333 About the Author 335 Index 337

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Book SynopsisA comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high inpTable of ContentsPreface xi Chapter 1 Introduction 1 Chapter 2 Mean-Variance Portfolio Selection 6 Chapter 3 Shortcomings of Mean-Variance Analysis 22 Chapter 4 Robust Approaches for Portfolio Selection 39 Chapter 5 Robust Optimization 66 Chapter 6 Robust Portfolio Construction 95 Chapter 7 Controlling Third and Fourth Moments of Portfolio Returns via Robust Mean-Variance Approach 122 Chapter 8 Higher Factor Exposures of Robust Equity Portfolios 137 Chapter 9 Composition of Robust Portfolios 164 Chapter 10 Robust Portfolio Performance 185 Chapter 11 Robust Optimization Software 216 About the Authors 231 About the Companion Website 233 Index 235

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Book SynopsisGet ahead of emerging markets with top-performer picks for up-and-comers Frontier helps investors successfully navigate markets that are yet to emerge, with expert advice on spotting opportunities and minimising risks.Trade Review“..as a book on emerging markets, Serkin certainly set the standard with ‘Frontier’….a must read for investors wanting to find out how valuation in emerging markets really works” (Financial Times, March 2015)Table of ContentsAbout the Author xi Disclaimer xiii Prologue xv Introduction to Frontier by Mark Mobius 1 CHAPTER 1 Kenya 11 I Mamboz 12 II Can’t Believe You’re Going to Kenya 17 III Sleeping Serpent 19 IV Prowling Leopard 29 V Clinker 39 CHAPTER 2 Myanmar 45 I Halcyon Days 46 II Uncle 50 III Yoma 55 IV Son 61 V Gaung Baung 66 VI Monk of Mandalay 73 CHAPTER 3 Romania 79 I Ro-man-ee-a! 80 II Systematization 85 III Brown Envelopes 90 IV Mega Mall 94 V Drac-ul-a 99 VI Crossroads 106 CHAPTER 4 Argentina 111 I Arbolitos 112 II Del Fin Del Mundo 118 III Vaca Muerta 126 IV Adelante 133 CHAPTER 5 Vietnam 137 I Confucius 138 II Aristotle 144 III Panacea 152 IV Equitization 159 V Automata 164 VI From Noodles 167 CHAPTER 6 Nigeria 169 I Eko Beach 170 II Crude Politics 178 II Sugar King 192 CHAPTER 7 Egypt 199 I Revolution II 200 II Cleopatra 204 III Sahl Hasheesh 211 IV Audacity of Hope 214 V Zahma! 223 CHAPTER 8 Saudi Arabia 229 I Virtue and Vice 230 II Socialist Monarchy 239 III Desert Farming 244 IV Opening Bell 248 V White Balloons 252 CHAPTER 9 Sri Lanka 255 I Family Economy 256 II China City 262 III Pawn 267 IV Kilinochchi 274 V Rising Sun 287 CHAPTER 10 Ghana 291 I Goatanomics 292 II Highlife and Death 299 III Gold Diggers 304 IV Cassava King 310 V Egg and Stone 312 Conclusion – Journey’s End 317 Acknowledgments 385 Index 389

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Book SynopsisContains an overview of several technical topicsof Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text: Provides an overview of several technical topics such as robustness of quantile regressiTable of ContentsPreface xi Acknowledgements xiii Introduction xv About the companion website xix 1 Robust regression 1 Introduction 1 1.1 The Anscombe data and OLS 1 1.2 The Ancombe data and quantile regression 8 1.2.1 Real data examples: the French data 12 1.2.2 The Netherlands example 14 1.3 The influence function and the diagnostic tools 17 1.3.1 Diagnostic in the French and the Dutch data 22 1.3.2 Example with error contamination 22 1.4 A summary of key points 26 References 26 Appendix: computer codes in Stata 27 2 Quantile regression and related methods 29 Introduction 29 2.1 Expectiles 30 2.1.1 Expectiles and contaminated errors 39 2.1.2 French data: influential outlier in the dependent variable 39 2.1.3 The Netherlands example: outlier in the explanatory variable 45 2.2 M-estimators 49 2.2.1 M-estimators with error contamination 54 2.2.2 The French data 58 2.2.3 The Netherlands example 59 2.3 M-quantiles 60 2.3.1 M-quantiles estimates in the error-contaminated model 64 2.3.2 M-quantiles in the French and Dutch examples 64 2.3.3 Further applications: small-area estimation 70 2.4 A summary of key points 72 References 73 Appendix: computer codes 74 [1] [1] [1] [1] viii CONTENTS 3 Resampling, subsampling, and quantile regression 81 Introduction 81 3.1 Elemental sets 81 3.2 Bootstrap and elemental sets 89 3.3 Bootstrap for extremal quantiles 94 3.3.1 The French data set 97 3.3.2 The Dutch data set 98 3.4 Asymptotics for central-order quantiles 100 3.5 Treatment effect and decomposition 101 3.5.1 Quantile treatment effect and decomposition 107 3.6 A summary of key points 117 References 118 Appendix: computer codes 120 4 A not so short introduction to linear programming 127 Introduction 127 4.1 The linear programming problem 127 4.1.1 The standard form of a linear programming problem 129 4.1.2 Assumptions of a linear programming problem 131 4.1.3 The geometry of linear programming 132 4.2 The simplex algorithm 141 4.2.1 Basic solutions 141 4.2.2 Optimality test 147 4.2.3 Change of the basis: entering variable and leaving variable 148 4.2.4 The canonical form of a linear programming problem 150 4.2.5 The simplex algorithm 153 4.2.6 The tableau version of the simplex algorithm 159 4.3 The two–phase method 168 4.4 Convergence and degeneration of the simplex algorithm 176 4.5 The revised simplex algorithm 181 4.6 A summary of key points 190 References 190 5 Linear programming for quantile regression 191 Introduction 191 5.1 LP formulation of the L1 simple regression problem 191 5.1.1 A first formulation of the L1 regression problem 193 5.1.2 A more convenient formulation of the L1 regression problem 204 5.1.3 The Barrodale–Roberts algorithm for L1 regression 210 5.2 LP formulation of the quantile regression problem 217 5.3 Geometric interpretation of the median and quantile regression problem: the dual plot 218 5.4 A summary of key points 228 References 229 [1] [1] [1] [1] CONTENTS ix 6 Correlation 233 Introduction 233 6.1 Autoregressive models 233 6.2 Non-stationarity 242 6.2.1 Examples of non-stationary series 243 6.3 Inference in the unit root model 248 6.3.1 Related tests for unit root 252 6.4 Spurious regression 254 6.5 Cointegration 259 6.5.1 Example of cointegrated variables 260 6.5.2 Cointegration tests 261 6.6 Tests of changing coefficients 262 6.6.1 Examples of changing coefficients 265 6.7 Conditionally heteroskedastic models 269 6.7.1 Example of a conditional heteroskedastic model 272 6.8 A summary of key points 274 References 274 Appendix: Stata computer codes 275 Index 283

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Book SynopsisDig to the root of public fraud with deep exploration of theory, standards, and norms Preventing Fraud and Mismanagement in Government identifies common themes in public fraud and corruption, describes the forces that drive them, and provides an objective standard of good practices with no political bent. From Bridgegate to Iran-Contra, this book walks through the massive scandals that resulted from public mismanagement and fraud to illustrate how deeply-entrenched, entity-specific norms can differ from actual best practices. The discussion includes the theoretical underpinnings of public fraud, and how intense corporate culture and limited exposure to outside practice standards can lead to routine deviation from normal behavior and moral standards. You''ll find a compendium of practices that illustrate actual norms, allowing you to compare your own agency''s culture and operations to standard practice, and contrast the motivations for fraud in the public and private sTable of ContentsForeword vii Acknowledgments ix About the Authors xiii Preface xv Introduction xix Chapter 1: Government and How It Works 1 Chapter 2: Public Finance and How Government Creates Cash Flow 61 Chapter 3: Accounting for Government 117 Chapter 4: Who Works in Government and What Is Their Motivation? 191 Chapter 5: Fraud in Public Agencies: Horse Trading or Stealing? 247 Chapter 6: Corrupt Policies and Actions 325 Chapter 7: Policing of Public Corruption and Fraud 371 Chapter 8: Final Thoughts 401 Appendix: Tables 457 Index 497

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Book SynopsisTable of ContentsChapter 1 1-1 The Governmental Environment and GAAP 1-1 Governmental environment 1-2 Which organizations are required to follow GASB standards? 1-8 GAAP and standards-setting organizations 1-9 The governmental environment and GAAP 1-12 Practice questions 1-13 Chapter 2 2-1 Fund Accounting and the Financial Reporting Model 2-1 Fund fundamentals 2-2 Fund structure 2-4 Overview of the financial reporting model 2-8 Summary 2-10 Practice questions 2-11 Chapter 3 3-1 Budgeting 3-1 The role of budgets 3-2 Encumbrances 3-5 Comparing budgeted amounts to actual amounts 3-7 Summary 3-8 Practice questions 3-9 Chapter 4 4-1 Measurement Focus and Basis of Accounting 4-1 Terminology 4-6 Summary 4-11 Practice questions 4-12 Chapter 5 5-1 Governmental Funds: Revenues and Expenditures 5-1 Revenues 5-3 Expenditures 5-7 Governmental funds revenues and expenditures 5-14 Practice questions 5-15 Chapter 6 6-1 Proprietary Funds 6-1 Use of proprietary funds 6-2 Accounting differences 6-4 Reporting differences 6-13 Summary 6-14 Practice questions 6-15 Chapter 7 7-1 Fiduciary Funds 7-1 The use of fiduciary funds 7-2 Accounting differences 7-4 Reporting differences 7-5 Practice questions 7-7 Chapter 8 8-1 Fund Financial Statements 8-1 General-purpose financial statements 8-2 Reporting by major funds 8-3 Governmental funds 8-6 Proprietary funds 8-8 Fiduciary funds 8-12 Summary 8-13 Practice questions 8-14 Chapter 9 9-1 Reporting Entity 9-1 The reporting entity 9-2 Reporting component units 9-6 Joint ventures and other organizations 9-8 Summary 9-9 Practice questions 9-10 Chapter 10 10-1 Government-Wide Financial Statements 10-1 Purpose of the government-wide statements 10-2 The worksheet approach 10-6 Summary 10-15 Practice questions 10-16 Chapter 11 11-1 Financial Reporting and the Comprehensive Annual Financial Report 11-1 Practice questions 11-11 Chapter 12 12-1 Special-Purpose Governments 12-1 Background 12-2 Summary 12-5 Practice questions 12-6 Appendix A A-1 City of Charlottesville — Basic Financial Statements A-1 Appendix B B-1 City of Charlottesville — Required Supplementary Information B-1 Appendix C C-1 City of Charlottesville — MD&A and Statistical Section C-1 Appendix D D-1 University of Virginia — Basic Financial Statements D-1 Glossary Glossary 1 Index Index 1 Solutions Solutions 1 Chapter 1 Solutions 1 Chapter 2 Solutions 2 Chapter 3 Solutions 4 Chapter 4 Solutions 6 Chapter 5 Solutions 7 Chapter 6 Solutions 8 Chapter 7 Solutions 10 Chapter 8 Solutions 11 Chapter 9 Solutions 13 Chapter 10 Solutions 14 Chapter 11 Solutions 17 Chapter 12 Solutions 19

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Book SynopsisMARGARET NICHOLSON is OCR (Oxford, Cambridge and RSA) Chief Examiner, an OCR and NEC Accounting Consultant and a NVQ External Verifier. She is a well-established author with many years' teaching and lecturing experience.

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Book SynopsisThis dictionary provides comprehensive coverage of the terms used in banking and finance, ranging from personal bank accounts to international money markets.Trade ReviewCompletely updated...entries are short and concise as might be expected from a dictionary. However, many entries also show how a term may be used in context- adding to the usefulness of the volume. Additionally some entries have been further developed with explanatory comments...if you are unsure of what is meant by Chinese walls, peppercorn rent, gnomes of Zurich, or bear hug, this volume will come in handy. It is also priced attractively for students. * Reference Reviews *

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Book SynopsisMandelbrot is world famous for his creation of the new mathematics of fractal geometry. Yet few people know that his original field of applied research was in econometrics and financial models, applying ideas of scaling and self-similarity to arrays of data generated by financial analyses. This book brings together his original papers as well as many original chapters specifically written for this book.Trade ReviewFrom the reviews"Mandelbrot writes with economy and felicity, and he interperses the more mathematical sections with frank historical anecdotes ... All in all, this is a strange but wonderful book." (PHYSICS TODAY) Statistical Papers, 2000: "... this is a most useful collection of Mandelbrot's work economics, it provides an excellent starting point for anybody interested in the origin of many current topics in empirical finance or the distribution of income."Table of ContentsList of Chapters.- El Introduction (1996).- E2 Discontinuity and scaling: scope and likely limitations (1996).- E3 New methods in statistical economics (M 1963e).- E4 Sources of inspiration and historical background (1996).- E5 States of randomness from mild to wild, and concentration in the short, medium and long run (1996).- E6 Self-similarity and panorama of self-affinity (1996).- E7 Rank-size plots, Zipf’s law, and scaling (1996).- E8 Proportional growth with or without diffusion, and other explanations of scaling (1996). • Appendices (M 1964o, M 1974d).- E9 A case against the lognormal distribution (1996).- E10 L-stable model for the distribution of income (M 1960i). • Appendices (M 1963i, M 1963j).- E11 L-stability and multiplicative variation of income (M 1961e).- E12 Scaling distributions and income maximization (M 1962q).- E13 Industrial concentration and scaling (1996).- E14 The variation of certain speculative prices (M 1963b). • Appendices (Fama & Blume 1966, M 1972b, M 1982c).- E15 The variation of the price of cotton, wheat, and railroad stocks, and of some financial rates (M 1967j).- E16 Mandelbrot on price variation (Fama 1963).- E17 Comments by P. H. Cootner, E. Parzen & W. S. Morris (1960s), and responses (1996).- E18 Computation of the L-stable distributions (1996).- E19 Nonlinear forecasts, rational bubbles, and martingales (M 1966b).- E20 Limitations of efficiency and martingales (M 1971e).- E21 Self-affine variation in fractal time (M & Taylor 1967, M 1973c).- Cumulative Bibliography.

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Book SynopsisIn an age of rising environmental concerns, it has become necessary for businesses to pay special attention the resources they are consuming and the long-term effects of the products they are creating. This title provides the latest empirical research findings on how sustainable development can work not just for organisations, but for the global economy as a whole.

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Book SynopsisAs managers expand their international business operations, they are confronted by the puzzling and vexing world of foreign exchange (FX) rates. This text is designed as a resource that can help managers quickly understand and navigate the FX market. The text may be used as an introductory module in a course in international finance, whether the course is oriented to international markets, international investments, or international corporate finance. The primary intended audience is an applied MBA course aimed at executives, managers, and would-be managers. After an introduction to foreign exchange (FX) rates, the text covers the important topic FX rate valuation. It is important for managers to understand when an FX rate is incorrectly valued, as this situation may have a bearing on strategic decisions to operate or invest overseas. The text also covers the mechanics of forward FX contracts, and their use in managing the risk of future foreign currency cash flows. In the case study included in the text, the case company is faced with FX exposure in the revenues of a proposed new foreign customer. The decision-maker applies the text material to evaluate whether the FX rate is over-, under-, or correctly valued. The final decision is whether to expand sales to the foreign market and whether to hedge the FX risk.

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Book SynopsisDespite the widespread promotion of microfinance as a key strategy for reducing poverty and fostering microenterprise development in developing countries, there is still a lack of understanding about how this concept can be used to empower women in these regions. The role played by formal and informal institutions in developing countries in facilitating or disabling women's empowerment and social mobility has not previously been adequately explored. Empowering Women Through Microfinance in Developing Countries addresses this knowledge gap by examining the influence of microfinance on women's empowerment in developing countries. It offers theoretical and empirical insights from industry experts, experienced researchers, and policymakers on the problems, processes, and prospects of using microfinance as a catalyst for women's empowerment in the developing world. The book covers a range of topics, including the impact of microfinance interventions on women's empowerment, financial inclusion, microfinance and female entrepreneurship, and poverty reduction among women, and small and medium-sized enterprise (SME) growth. The insights provided in this book will be a valuable resource for researchers, students, microfinance institutions, policymakers, state institutions, managers, non-governmental organizations, and financial institutions looking to expand their product portfolio and outreach. The book also provides policy directions and rethinking of practice in using microfinance as a strategy for eliminating barriers to women's empowerment in developing countries.

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Book SynopsisSuperannuation was once a privilege granted only to company head office staff and career public servants. Now in Australia nearly all workers have access to employer-contributed superannuation, and it is a fundamental pillar of Australia''s retirement income system.Workers'' Capital tells the story of the Australian superannuation revolution led by trade unions in the 1980s. After a series of hard-fought industrial campaigns, an enormous financial industry was created, involving hundreds of thousands of employers and covering millions of fund members. From having one of the worst retirement savings systems in the developed world, in three decades Australia had one of the best. Now the funds held in Australian superannuation accounts exceed the entire market capitalisation of all the companies on the Australian Stock Exchange.Drawing on interviews with the key players and extensive archival research, Workers'' Capital is the first systematic history of the unique Australian system of industry superannuation.''Startling and informative-I thought I knew a lot about the industry superannuation phenomenon, but this one took me by surprise. For a topic so important, a real page-turner.''Gerard Noonan, Chair of Media Super, former editor of Australian Financial Review

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Book SynopsisFinancial experts Chuck Ramsey and Frank Ramirez join Frank Fabozzi for the third edition of Collateralized Mortgage Obligations: Structure & Analysis. Because of the complexity and the risk associated with CMOs, portfolio managers need specific keys to understand and unlock the potential of these unique investment tools. Fabozzi and company provide this understanding with detailed explanations of all aspects of CMOs, including factors affecting prepayment behavior; whole loan CMO structures; and accounting for CMO investments. Filled with relevant examples and in-depth discussions, Collateralized Mortgage Obligations: Structure & Analysis sheds light on this somewhat controversial and highly technical subject-which is one of the fastest-growing sectors of the fixed-income securities market.Table of ContentsAbout the Authors. 1. Introduction. SECTION I: AGENCY CMOS. 2. Collateral for CMOs. 3. Prepayment Conventions and Factors Affecting Prepayments. 4. Sequential-Pay and Accrual Tranches. 5. Floater, Inverse Floater, and Notional IO Tranches. 6. Planned Amortization Class Tranches. 7. TAC, VADM, Support Tranches, and Re-REMICs. SECTION II: NONAGENCY CMOS. 8. Nonagency CMOs. 9. The Rating of Nonagency CMOs. 10. Prepayment Analysis of Nonagency Mortgage-Backed Collateral. SECTION III: ANALYSIS OF CMOS. 11. Valuation and Spread Measures. 12. Measuring Interest Rate Risk: Duration, Convexity, and Key Rate Duration. 13. Total Return Analysis. 14. Analysis of Inverse Floaters. Index.

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Book SynopsisErfolgreiches Beschaffungsmanagement beschränkt sich heute nicht mehr auf die kostenoptimale Versorgung des Unternehmens mit den zur Leistungserstellung benötigten Gütern und Dienstleistungen. Vielmehr sollte die Beschaffung auf der Suche nach Kostensenkungspotenzialen und Wettbewerbsvorteilen sich stärker am Lieferanten orientieren. Auch das Beschaffungscontrolling muss neben der Bereitstellung von Ergebnisgrößen zu einer kontinuierlichen Verbesserung der Leistungsfähigkeit der Lieferantenbasis und einer effektiven Koordination der Zusammenarbeit mit Lieferanten beitragen. Dieser Band beschreibt nicht nur wichtige Instrumente des Beschaffungscontrollings, sondern weist auch den Weg vom Beschaffungs- zu einem zukunftsgerichteten Supplier Relationship-Controlling.Trade Review"...Das Buch zeigt einen Ansatz, bei dem das Beschaffungscontrolling um ein Supplier-Relationship-Controlling ergänzt wird, also auch die Beziehung zu den Lieferanten einschließt. Die Autoren verdeutlichen die Controllinginstrumente anhand von Beispielen aus der deutschen Industrie. Sie beantworten die Frage, wie sich der Wertbeitrag der Beschaffung messen und optimieren lässt. Zudem können Controller mit einem Kurzaudit über Checklisten das Beschaffungsmanagement ihrer Unternehmen fortentwickeln." ( DVZ, Nr.43-44/2007) "[...] Die Autoren greifen einen betrieblichen Bereich auf, der bislang "controllingmäßig" wenig aufgearbeitet und nur begrenzt durchdrungen ist. In komprimierter Form und in recht anschaulicher Weise vermitteln Wagner und Weber viel Wissenswertes und Anregendes. Der Band unterstützt die Controller, sich in diesem Funktionsbereich deutlicher zu positionieren und insgesamt durch eine höhere Professionalisierung schärfer zu profilieren.[...]" (Controller Magazin, Mai 2007)Table of ContentsVorwort. 1 Einleitung. 2 Kennzahlen zur Planung, Steuerung und Kontrolle der Beschaffung. 3 Messung des monetären Beschaffungserfolges. Betrachtungszeitraum. »Härtegrad« des Beschaffungserfolges. Rendite und Wertbeitrag. 4 Nutzung von Controllinginstrumenten in der Praxis. Fokus: Beschaffung. Fokus: Lieferanten(-beziehung). Fokus: Supply Chain. 5 Implementierung. 6 Beispiele aus der Praxis. Robert Bosch. MTU Aero Engines. 7 Fazit und Ausblick. 8 Anhang: Kurzaudit der Beschaffung. Anwendung. Teil 1: Basisinformationen. Teil 2: Ansatzpunkte. 9 Verwendete und weiterführende Literatur. 10 Stichwortverzeichnis. In eigener Sache. Inhaltsverzeichnis.

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