Wesley Learns About Credit

Wesley Learns About Credit PDF Author: Prince Dykes, MBA, IAR SA
Publisher: Lulu.com
ISBN: 0998386014
Category :
Languages : en
Pages : 44

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Book Description
AWARD WINNING FATHER & SON AUTHORS PRINCE & WESLEY DYKES ARE BACK! Introducing for the first time ever, a fictional children's book offering a kid-friendly peak into the world of credit. When Wesley goes to his uncle Rob's house for summer break, he has no idea he's going to learn about something entirely new to him. Uncle Rob has wanted a new car for a while. When he spots a great deal for one online, he takes Wesley to the dealership with him to check it out. Unfortunately, there is a problem with Uncle Rob's credit, and the deal can't be made. Uncle Rob sadly leaves without the car, and this leaves Wesley confused and perplexed about just what credit is. As he learns the ins and outs of credit, Wesley also comes up with a brilliant idea to help Uncle Rob. Follow Wesley as he learns the lessons of what it means to have, maintain, and restore credit. This children's story shows how one little boy learns about credit, offering a kid-friendly introduction into the world of credit and finance.

Wesley Learns About Credit

Wesley Learns About Credit PDF Author: Prince Dykes, MBA, IAR SA
Publisher: Lulu.com
ISBN: 0998386014
Category :
Languages : en
Pages : 44

Get Book Here

Book Description
AWARD WINNING FATHER & SON AUTHORS PRINCE & WESLEY DYKES ARE BACK! Introducing for the first time ever, a fictional children's book offering a kid-friendly peak into the world of credit. When Wesley goes to his uncle Rob's house for summer break, he has no idea he's going to learn about something entirely new to him. Uncle Rob has wanted a new car for a while. When he spots a great deal for one online, he takes Wesley to the dealership with him to check it out. Unfortunately, there is a problem with Uncle Rob's credit, and the deal can't be made. Uncle Rob sadly leaves without the car, and this leaves Wesley confused and perplexed about just what credit is. As he learns the ins and outs of credit, Wesley also comes up with a brilliant idea to help Uncle Rob. Follow Wesley as he learns the lessons of what it means to have, maintain, and restore credit. This children's story shows how one little boy learns about credit, offering a kid-friendly introduction into the world of credit and finance.

Wesley Learns about Credit

Wesley Learns about Credit PDF Author: Prince Dykes
Publisher:
ISBN: 9780998386027
Category : Children
Languages : en
Pages : 0

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Book Description
"This children's story shows how one little boy learns about credit, offering a kid-friendly lintroduction into the world of credit and finance."--Page 4 of cover

Wesley Learns to Invest

Wesley Learns to Invest PDF Author: Prince Dykes, MBA
Publisher: Lulu.com
ISBN: 0578162970
Category : Children
Languages : en
Pages : 38

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Book Description
"Young Wesley is about to turn eleven years old, and he really wants a new GS4 gaming system. But money doesn't grow on trees, so Wesley will have to work hard and save his money to be able to make that purchase. Wesley's dad helps him out by teaching him the importance of investing and how stocks work"--Page 4 of cover.

Wesley Learns about Insurance

Wesley Learns about Insurance PDF Author: Prince Dykes
Publisher:
ISBN: 9780998386034
Category : Insurance
Languages : en
Pages : 0

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Book Description
"Wesley is getting a ride to soccer practice in his uncle Rob's new car, which Wesley had helped him buy with some great advice about credit. Suddenly, Uncle Rob accidentally backs into a tree! No one is hurt, but Uncle Rob can't afford to fix his car because he doesn't have car insurance ... This children's story, part of a series, follows the continuing financial adventures of Wesley and offers a kid-friendly peek into the world of insurance."--Page 4 of cover

Wesley Learns about Insurance

Wesley Learns about Insurance PDF Author: Wesley Dykes
Publisher:
ISBN: 9780998386058
Category :
Languages : en
Pages : 38

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Book Description
Wesley is getting a ride to soccer practice in his uncle Rob's new car, which Wesley had helped him buy with some great advice about credit. Suddenly, Uncle Rob accidentally backs into a tree! No one is hurt, but Uncle Rob can't afford to fix his car because he doesn't have car insurance. Puzzled about insurance and what it is, Wesley begins asking questions. Fortunately for him, NFL Hall of Famer Terrell Davis is teaching kids about finance at the local children's club. With Mr. Davis's help, Wesley learns what a premium is, how a policy works, what deductibles are, and how many things can be insured. After seeing Uncle Rob's experiences, Wesley decides that having insurance for his lawn mower would be a good idea in case something bad happens to it. After all, that's how he earns his money! But will his insurance pay out when he breaks his lawn mower in an accident?

Rating Based Modeling of Credit Risk

Rating Based Modeling of Credit Risk PDF Author: Stefan Trueck
Publisher: Academic Press
ISBN: 0080920306
Category : Business & Economics
Languages : en
Pages : 279

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Book Description
In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev

Credit Risk Scorecards

Credit Risk Scorecards PDF Author: Naeem Siddiqi
Publisher: John Wiley & Sons
ISBN: 1118429168
Category : Business & Economics
Languages : en
Pages : 124

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Book Description
Praise for Credit Risk Scorecards "Scorecard development is important to retail financial services in terms of credit risk management, Basel II compliance, and marketing of credit products. Credit Risk Scorecards provides insight into professional practices in different stages of credit scorecard development, such as model building, validation, and implementation. The book should be compulsory reading for modern credit risk managers." —Michael C. S. Wong Associate Professor of Finance, City University of Hong Kong Hong Kong Regional Director, Global Association of Risk Professionals "Siddiqi offers a practical, step-by-step guide for developing and implementing successful credit scorecards. He relays the key steps in an ordered and simple-to-follow fashion. A 'must read' for anyone managing the development of a scorecard." —Jonathan G. Baum Chief Risk Officer, GE Consumer Finance, Europe "A comprehensive guide, not only for scorecard specialists but for all consumer credit professionals. The book provides the A-to-Z of scorecard development, implementation, and monitoring processes. This is an important read for all consumer-lending practitioners." —Satinder Ahluwalia Vice President and Head-Retail Credit, Mashreqbank, UAE "This practical text provides a strong foundation in the technical issues involved in building credit scoring models. This book will become required reading for all those working in this area." —J. Michael Hardin, PhD Professor of StatisticsDepartment of Information Systems, Statistics, and Management ScienceDirector, Institute of Business Intelligence "Mr. Siddiqi has captured the true essence of the credit risk practitioner's primary tool, the predictive scorecard. He has combined both art and science in demonstrating the critical advantages that scorecards achieve when employed in marketing, acquisition, account management, and recoveries. This text should be part of every risk manager's library." —Stephen D. Morris Director, Credit Risk, ING Bank of Canada

The Theory of Debit and Credit in Accounting

The Theory of Debit and Credit in Accounting PDF Author: Robert Gardner McClung
Publisher:
ISBN:
Category : Accounting
Languages : en
Pages : 32

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Book Description


Understanding Credit

Understanding Credit PDF Author: Carla Mooney
Publisher: Lerner Publications ™
ISBN: 1541509102
Category : Juvenile Nonfiction
Languages : en
Pages : 41

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Book Description
It is easy to spend money when you have a credit card or a loan. But it is also easy to spend or borrow more than you can afford. How can you use credit responsibly? How can you avoid going into debt? Read this book to understand how credit works.

Machine Learning in Production

Machine Learning in Production PDF Author: Andrew Kelleher
Publisher: Addison-Wesley Professional
ISBN: 0134116569
Category : Computers
Languages : en
Pages : 465

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Book Description
Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projects Learn from practical Python code examples and visualizations that bring essential algorithmic concepts to life Start with simple heuristics and improve them as your data pipeline matures Avoid bad conclusions by implementing foundational error analysis techniques Communicate your results with basic data visualization techniques Master basic machine learning techniques, starting with linear regression and random forests Perform classification and clustering on both vector and graph data Learn the basics of graphical models and Bayesian inference Understand correlation and causation in machine learning models Explore overfitting, model capacity, and other advanced machine learning techniques Make informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.