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Parameters, also referred to as arguments, are values passed to the subroutine by the subroutine call. Parameters let you explain to the subroutine how you want the different commands and statements executed. When you stand at a coffee shop counter, asking for coffee is the statement you use. The parameters are the main details you provide about how you like your coffee: I d like a large coffee, black with one sugar. The make coffee subroutine has three parameters: size, whitener, and sweetener. Anywhere you get coffee in the country you can supply those parameters to the make coffee subroutine, and people will understand, even though the exact way they ll go about making it may be different. The following is the make coffee subroutine the way AppleScript would have it: to make_coffee(size, whitener, sweetener) put size cup on counter fill with coffee if whitener is not none then add whitener add sweetener number of sugar baggies stir return cup of coffee end make_coffee To execute this subroutine, you d send it a make_coffee command containing the size, whitener, and sweetener values you want the subroutine to use in preparing your coffee. For example: make_coffee(Large, none, 1) You ll look at parameters in more detail shortly.

customers and a view object for high-earning global customers, there would be two view object caches containing different view rows As shown in Figure 6-1, each view object row is pointing to a physically cached row in the same Customers entity object Sometimes the view object caches contain pointers to the same entity object row This means that if a row is updated through one view, then the change is automatically seen in the other view Extending the filing cabinet analogy used to explain entity objects, it s like having two folders marked US Customers and High Earning Global Customers, each folder containing a separate sheet of paper per record On each sheet of paper is information detailing in which filing cabinet drawer the actual data is held.

In AppleScript, you may want your subroutines to return a value, or you may not. For example, a subroutine whose job is to close all open documents in InDesign may return no result. It will always just close any open documents, and that s that. You may want to test whether the operation was successful and return a true or false, or you may return the number of documents you closed. This is entirely up to you. AppleScript will return a result from a subroutine when it reaches the return statement. If no return statement is provided, then the subroutine s result will be the result of the last statement the subroutine executed, even if you don t want to use it. The return statement starts with the word return and is optionally followed by a value, which becomes the subroutine s call result. Let s look at a few examples the following four subroutines will return the sum of the two parameters. This is the first variation: on add_up(a, b) return a + b end add_up This is the second variation: on add_up(a, b) a + b end add_up

This is the third variation: on add_up(a, b) set the_sum to a + b return the_sum --any line beyond the return line will be ignored end add_up This is the fourth variation: on add_up(a, b) set the_sum to a + b end add_up All four subroutines will return the same result. Notice that the second and fourth subroutines don t explicitly use the return statement, but AppleScript still returns the result of the last statement.

5.3 Structure of the New Accord and Impact on Risk Management 352 5.3.1 Pillar I: Minimum Capital Requirement 352 5.3.2 Pillar II: Supervisory Review Process 353 5.3.3 Pillar III: Market Discipline and General Disclosure Requirements 354 5.4 Value at Risk and Regulatory Capital Requirement 356 5.4.1 Background 356 5.4.2 Historical Development of VaR 357 5.4.3 VaR and Modern Financial Management 359 5.4.4 Definition of VaR 364 5.5 Conceptual Overview of Risk Methodologies 366 5.6 Limitations of VaR 368 5.6.1 Parameters for VaR Analysis 368 5.6.2 Different Approaches to Measuring VaR 373 5.6.3 Historical Simulation Method 380 5.6.4 Stress Testing 382 5.6.5 Summary of Stress Tests 389 5.7 Portfolio Risk 389 5.7.1 Portfolio VaR 390 5.7.2 Incremental VaR 393 5.7.3 Alternative Covariance Matrix Approaches 395 5.8 Pitfalls in the Application and Interpretation of VaR 404 5.8.1 Event and Stability Risks 405 5.8.2 Transition Risk 406 5.8.3 Changing Holdings 406 5.8.4 Problem Positions 406 5.8.5 Model Risks 407 5.8.6 Strategic Risks 409 5.8.7 Time Aggregation 409 5.8.8 Predicting Volatility and Correlations 414 5.8.9 Modeling Time-Varying Risk 415 5.8.10 The RiskMetrics Approach 423 5.8.11 Modeling Correlations 427 5.9 Liquidity Risk 431 5.10 Summary 436 5.11 Notes 437