Free Essay

Submitted By wifhk

Words 646

Pages 3

Words 646

Pages 3

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling

Risk Modeling…...

Premium Essay

...System Modeling Margaret Francies Strayer University Term Paper System Modeling Theory– CIS 331 Richard Guirguis Due on 12/8/2010 System Modeling Systems modeling or systems modelling is the approach to the study of the use of models to imagine and construct systems in business and IT development. In business and IT development the term "systems modeling" has multiple meaning. System Modeling can refer to analysis and design efforts, simulation and or system dynamics, and a study of the many uses of these models. There are different approaches to modeling: Agent based data and mathematical modeling. Quality management adopts a number of management principles that can be used by top management to guide their organizations towards improved performance. Principles such as: customer focus, leadership, people’s involvement, the process, system approach to management, continual improvement, facts, and a mutual benefit. . Decision making is a reasoning or emotional process which can be rational or irrational. The cognitive perspective is that the decision making process must be regarded as a continuous process integrated in the interaction with the environment. From a normative perspective, the analysis of individual decisions is concerned with the logic of decision making and rationality and the invariant choice it leads to it can be based on explicit assumptions or tacit assumptions. In decision making, objectives must be established and placed in the order......

Words: 662 - Pages: 3

Premium Essay

...EXCEL MODELING AND ESTIMATION IN CORPORATE FINANCE Third Edition CRAIG W. HOLDEN Max Barney Faculty Fellow and Associate Professor Kelley School of Business Indiana University Copyright © 2008 by Prentice Hall, Inc., Upper Saddle River, New Jersey 07458 To Kathryn, Diana, and Jimmy. Contents iii CONTENTS Preface ..................................................................................... vii Third Edition Changes .................................................................................... vii What Is Unique About This Book ..................................................................... x Conventions Used In This Book .......................................................................xi Craig’s Challenge ........................................................................................... xiii The Excel Modeling and Estimation Series .................................................. xiii Suggestions for Faculty Members ..................................................................xiv Acknowledgements ........................................................................................... xv About The Author ................................................................. xvi PART 1 TIME VALUE OF MONEY ..... 1 Chapter 1 Single Cash Flow ....................................................1 1.1 Present Value .......................................................................................

Words: 33587 - Pages: 135

Premium Essay

...Database Modeling Tool INF322 Instructor June 27, 2011 Database Modeling Tool The company has grown exponentially over the past 6 months and needs to develop a new database to house its financial, inventory, and client data. It has been decided to build this new database in house rather than purchase a system from a third party vendor. As part of the development of this database it is in the company’s best interest to utilize a database modeling tool to help the design effort. Utilizing a database modeling tool will offer the following benefits: 1. Simple graphic representation of the data structure. 2. Visual work flow of how data will be entered, modified, and reported. 3. Bulk editor capabilities. 4. Database design generator. 5. Database reverse engineering. 6. Logical and physical data model reporting. The tool that looks to be the best fit for the company is CA Erwin Data Modeler r8. CA Erwin Data Modeler r8 was developed by Logic Works Inc. Logic Works Inc. has been in business as a database modeling solution since 1988 (Carreon, 1996) and continues to be one of the top data modeling providers. CA Erwin Data Modeler r8 is the most balanced data modeler tool when comparing functionality, simplicity, and cost when to its competitors. CA Erwin has very user friendly graphical representation of both the logical and physical data models. No other competing modeler has both of these capabilities within the same function. It has all......

Words: 477 - Pages: 2

Premium Essay

...Rationale: Logical models are implementation independent. 4. Physical models show not only what a system is or does, but also how the system is physically and technically implemented. They are implementation independent because they specify the technology. Answer: False Page: 316 LOD: Medium Rationale: Physical models are implementation dependent (not independent). 5. Logical models show not only what a system is or does, but also how the system is implemented. Answer: False Page: 316 LOD: Medium Rationale: Physical models show not only what a system is or does, but also how the system is implemented; therefore, they are implementation dependent. Logical models are implementation independent. 6. Process modeling is a technique for organizing and documenting the structure and flow of data through a system's processes and /or the logic, policies and procedures to be implemented by a system's processes. Answer: True Page: 317 LOD: Easy 7. A data flow diagram (DFD) is a tool that depicts the flow of data through a system and the work or processing performed by that system. Answer: True Page: 217 LOD: Easy 8. An entity relationship diagram (ERD) is a tool that depicts the flow of data through a system and the work or processing performed by that system. Answer: False Page: 317 LOD: Medium Rationale: A data flow diagram (DFD) is a tool that depicts the flow of data through a system and the......

Words: 7261 - Pages: 30

Premium Essay

...Database Modeling Kelli Clipp Business Systems Analysis INF322 Arman Kanooni February 10, 2013 This paper discusses database modeling and one tool that can be used for the process. The tool I’ve chosen is based on the material in our textbook and article ‘Modeling for the future’. Database modeling is the process of software engineering which allows for the creation of an information system. In the article ‘Modeling for the future’, they compare database modeling to constructing a house (Carreon, Wang, & Watt, 1996). This comparison is based on the fact that one would use a blueprint when building a house and database modeling can be considered as the same concept. A data model is in essence a blueprint or a plan for the database and without it the database may not be very well built, as with any program, house or building you need a plan. There are several tools available for database designers to utilize and the key is choosing the tool which is right to be used that will meet all the requirements of the database to be created. In the article ‘Modeling for the future’ they discussed and compared products from 1996, and although this article appeared to cover the four key products for database modeling at that time, the market has......

Words: 690 - Pages: 3

Premium Essay

...Determining Project Coast, Budgeting, and Earned Value Cost Modeling For Professor Douglass Smith By Integrated Project Process Management (MSPM - 6120 - 2) Week 2 Application Spring Session Section B March 12, 2012 Abstract Theoretically, cost modeling is a set of assumptions about future project conditions that guide the projects for organizations of cash flows (Sanghera, 2010). Financial models that are utilized in project finance oft-times are troubled with diverse array problems. The reason for failure in projects is mainly due to not clearly defining and segregating various elements of the model; as well as the failure to include crucial information pertaining to the project. It is good practice to have the person who will be responsible for performing a specific activity to estimate the costs associated with the activity (Gido and Clements, 2010). In this paper we were asked to utilize quantitative analysis to perform 5 year and 10 year cash flow calculations utilizing internal rate of return IRR and Net present value to strategically determine which analysis yields the best fit for the project at hand. Keywords: cost modeling, cash flows, projects, quantitative, analysis, IRR, Internal rate of return, NPV, Net Present Value Developing a baseline schedule for a project is important; in addition the aforementioned it’s also necessary to develop a baseline budget. Baseline cost components of a project depend on the nature, size and location of the...

Words: 993 - Pages: 4

Free Essay

...Applied Modeling with Military Operations (non-war) Modeling or model is a simplified representation of a situation or problem and modeling is the process of building, refining, and analyzing that representation for greater insight and improved decision making. Modeling is also a mathematical or logical depiction of a system’s behavior. Simulation, is otherwise the device that implements the model. In many military operations, simulation is distinguished among three classes (rough). Live simulations, this involves real people using real equipment in the physical world (real world), like large field exercises. Virtual simulation, involves real people using simulators, flight simulators and/or actual information systems, this often provides realistic acts. Lastly, constructive simulations, this involves simulated people and systems operating in the simulated world, as in things like simulated combat, here users set the initial conditions and run the simulation to see what happens. Simulations are developed from the thoughts of human designers. All simulations are tested to assure accuracy and effectiveness, to illuminate specific issues or problems. The process that covers these mistakes and issues is associated with verification, validation and accreditation. These three sources are applied to a simulation development cycle that operated by the real world system, and is replicated and identified and the conceptual model of it is then identified. This conceptual model......

Words: 926 - Pages: 4

Premium Essay

...that impact the profitability of this product? MTR is considering hiring the consulting services of Dr. Moorthi, a reputed professor at BeMiJA! Dr. Moorthi, using market research will predict whether the new product will last more than 2 years or not. In the past, his accuracy rate has been 90% in either case. That is, whenever the product cycle lasted two years, he predicted it correctly 90% of the time. Similarly, whenever the product life cycle lasted more than 2 years, he predicted that correctly as well 90% of the time. How much would Dr. Moorthi’s recommendation be worth to MTR? Use @Risk Simulation to analyze this problem and make recommendations. [Note: Make sure you use a starting seed number of 7 in your @Risk simulation runs.] ----------------------- [1] This problem is an adaptation of an exercise in Simulation Modeling using @Risk, Winston (pg. 66-67)....

Words: 770 - Pages: 4

Premium Essay

...University of Phoenix Material Traffic Modeling Figure 1 shows the intersections of five one-way streets and the number of cars that enter each intersection from both directions. For example, I1 shows that 400 cars per hour enter from the top and that 450 cars per hour enter from the left. See the Applications section in Section 6.2 of College Algebra as a reference. For this assignment, use Figure 1 to answer the questions following the figure and to prepare a Microsoft® PowerPoint® presentation. [pic] Figure 1. The intersections of five one-way streets The letters a, b, c, d, e, f, and g represent the number of cars moving between the intersections. To keep the traffic moving smoothly, the number of cars entering the intersection per hour must equal the number of cars leaving per hour. 1. Describe the situation. 2. Create a system of linear equations using a, b, c, d, e, f, and g that models continually flowing traffic. 3. Solve the system of equations. Variables f and g should turn out to be independent. 4. Answer the following questions: a. List acceptable traffic flows for two different values of the independent variables. b. The traffic flow on Maple Street between I5 and I6 must be greater than what value to keep traffic moving? c. If g = 100, what is the maximum value for f? d. If g = 100, the flows represented by b, c, and d must be greater than what values? In this situation, what are the minimum......

Words: 279 - Pages: 2

Free Essay

...Abstract Model Paper Abstract models are decision making tools that aid in the identification and mitigation of certain risks (Argosy University, 2014). Different types of abstract models exist and can be utilized for various problems and risk mitigation strategies. This paper will present four specific abstract models: deterministic, probability, simulation and discipline specific modeling techniques. Additionally, the author will introduce an example problem for each type of abstract model presented. Deterministic Modeling Deterministic modeling are “precisely determined through known relationships among states and events, without any room for random variation” (Business Dictionary, 2014, para 4). In deterministic modeling, a certain given input will always generate the same output. An example would be a chemical reaction. When two hydrogen atoms attach to an oxygen atom, the known result produced is water (H2O). A deterministic model can be representated mathematically with the formula y = f (x). One can see real-life determinitic modeling in a retail scenario where y = amount paid and x = almount of the good. Physical and engineering industries are much more difficult to use detiministic modeling for risk mititagtion. For example, the amount of water (capacity) a dam can hold may seems like it could be solve through detministic modeling. Unfortunately, it is impossible to accurately calculate the physical and structural make up of the concrete used......

Words: 664 - Pages: 3

Premium Essay

...Week 4 Assignm Systems Modeling Theory Instructor: Philip McIntire July 27, 2013 The environment in which decisions must be made is more complex than ever before. Informed consumers, employees, and shareholders demand greater public consciousness, responsibility, and accountability from corporate and governmental decision makers. Decision analysis captures the dynamic nature of decision processes by prescribing a decision strategy that indicates what action should be chosen initially and what further actions should be selected for each subsequent event that could occur. For instance, a decision strategy might suggest an initial test market for a new product and then, based on the results, either cancel the product, initiate further testing, or begin a full scale marketing and sales effort. Thus, in describing the alternatives, one must simultaneously specify the decision points, events that may occur between them, and the information that can be learned in the process. Decision analysis can be divided into four steps: structuring the problem; formulating inference and preference models; eliciting proba- bilities and utilities; and exploring the numerical model results. Structuring the problem is the most important and difficult part of the analysis process. Trees are the most common decision analytic structures. Decision trees are produced by algorithms that identify various ways of splitting a data set into branch-like segments. These segments form......

Words: 1245 - Pages: 5

Premium Essay

...SPREADSHEET MODELING IN CORPORATE FINANCE To accompany Principles of Corporate Finance by Brealey and Myers CRAIG W. HOLDEN Richard G. Brinkman Faculty Fellow and Associate Professor Kelley School of Business Indiana University Prentice Hall, Upper Saddle River, New Jersey 07458 To Kathryn, you’re the inspiration, and to Diana and Jimmy, with joy and pride. Craig CONTENTS Preface PART 1 TIME VALUE OF MONEY Chapter 1 Single Cash Flow 1.1 Present Value 1.2 Future Value Problems Chapter 2 Annuity 2.1 Present Value 2.2 Future Value 2.3 System of Four Annuity Variables Problems Chapter 3 Net Present Value 3.1 Constant Discount Rate 3.2 General Discount Rate Problems Chapter 4 Real and Inflation 4.1 Constant Discount Rate 4.2 General Discount Rate Problems Chapter 5 Loan Amortization 5.1 Basics 5.2 Sensitivity Analysis Problems PART 2 VALUATION Chapter 6 Bond Valuation 6.1 Basics 6.2 By Yield To Maturity 6.3 System Of Five Bond Variables 6.4 Dynamic Chart Problems Chapter 7 Stock Valuation 7.1 Two Stage 7.2 Dynamic Chart Problems Chapter 8 The Yield Curve 8.1 Obtaining It From Bond Listings 8.2 Using It To Price A Coupon Bond 8.3 Using It To Determine Forward Rates Problems Chapter 9 U.S. Yield Curve Dynamics 9.1 Dynamic Chart Problems PART 3 CAPITAL BUDGETING Chapter 10 Project NPV 10.1 Basics 10.2 Forecasting Cash Flows 10.3 Working Capital 10.4 Sensitivity Analysis Problems Chapter 11 Cost-Reducing......

Words: 49278 - Pages: 198

Free Essay

... Portfolio Modeling and Evaluation: Beating the Market ABSTRACT During the period of 2005 to 2010, the market portfolio (P1) and one suggested portfolio (P3) post a positive absolute return of 0.80% and 0.82% respectively which underperformed the active fund portfolio (P2) 0.91%. This report follows various modeling methods in order to back test the performance of the active fund portfolio and compare its performance with that of two other portfolios. The findings indicate that, even though P2 achieves the highest return on the overall performance, the limitations such as the macro environment, the assumptions set, and the Shrinkage method used that accidentally downsizes some valuable stocks in out-‐samples as they are closely correlated are being ignored. By contrast, P3 will probably offer a “middle-‐choice” which will bring a promising and more stable return. 1 ......

Words: 5765 - Pages: 24

Premium Essay

................................... The Madness ................................................................................... The Bust............................................................................................ v vi CONTENTS PA R T I V : T H E U N R AV E L I N G Chapter Chapter Chapter Chapter Chapter Chapter Chapter Chapter Chapter Early : Spreading Subprime Worries................................. Summer : Disruptions in Funding.................................... Late to Early : Billions in Subprime Losses ........... March : The Fall of Bear Stearns........................................ March to August : Systemic Risk Concerns.................... September : The Takeover of Fannie Mae and Freddie Mac.................. September : The Bankruptcy of Lehman ........................ September : The Bailout of AIG ........................................ Crisis and Panic .............................................................................. PA R T V : T H E A F T E R S H O C K S Chapter Chapter The Economic Fallout................................................................... The Foreclosure Crisis .................................................................. DI S SE N T I NG V I E WS By Keith Hennessey, Douglas Holtz-Eakin, and Bill Thomas ........................ By Peter J.......

Words: 298639 - Pages: 1195

Premium Essay

...Source: S. G. Powell and K. R. Baker, 2004. The Art of Modeling with Spreadsheets. New York: Wiley & Sons. Copyright © 2004 by John Wiley & Sons, Inc CHAPTER 1 INTRODUCTION MODELS AND MODELING Modeling is the process of creating a simplified representation of reality and working with this representation in order to understand or control some aspect of the world. While this book is devoted to mathematical models, modeling itself is a ubiquitous human activity. In fact, it seems to be one of just a few fundamental ways in which humans understand the world. As an example, a map is one of the most common models we encounter. Maps are models because they simplify reality by leaving out most geographic details in order to highlight the important features we need. A state road map, for example, shows major roads but not minor ones, gives rough locations of cities but not individual addresses, and so on. The map we choose must be appropriate for the need we have: a long trip home across several states requires a regional map, while a trip across town to find a new doctor’s office requires a detailed street map. In the same way, a good model must be appropriate for the specific uses intended for it. A complex model of the economy is probably not appropriate for pricing an individual product. Likewise, a back-of-the-envelope calculation may be inappropriate for acquiring a multibillion-dollar company. Models take many different forms: mental, visual, physical, mathematical...

Words: 4929 - Pages: 20