An Illustrated Guide To Automated Valuation Modeling Avm In Excel Five Fully Illustrated Multiple Regression Models PDF Download
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Author | : Sid Som MBA/MIM |
Publisher | : |
Total Pages | : 222 |
Release | : 2017-05-24 |
Genre | : |
ISBN | : 9781521358788 |
Download An Illustrated Guide to Automated Valuation Modeling (AVM) in Excel (Five Fully Illustrated Multiple Regression Models) Book in PDF, ePub and Kindle
This book is 100% hands-on with step-by-step illustrations. Each modeling step - from sales sampling to time adjustment to multi-collinearity to linear and non-linear regression to residual and outlier analyses to model application - has been thoroughly illustrated with over 100 interactive modeling charts, tables, multiple regression outputs, spatial graphs, data samples, Excel inserts and more. And, it's all Excel-based so users can focus on learning actual model building rather than worrying about a complicated Stat package!
Author | : Sid Som |
Publisher | : |
Total Pages | : 191 |
Release | : 2017-06-09 |
Genre | : |
ISBN | : 9781521471463 |
Download Automated Valuation Modeling (AVM) - a Step-By-Step Illustrated Guide Book in PDF, ePub and Kindle
This book is 100% hands-on with step-by-step illustrations. Each modeling step - from sales sampling to time adjustment to multi-collinearity to linear and non-linear regression to residual and outlier analyses to model application - has been thoroughly illustrated with over 100 interactive modeling charts, tables, multiple regression outputs, spatial graphs, data samples, programming logic and more. And, readers can easily duplicate the steps in any statistical software or in Excel (Data Analysis).
Author | : Sid Som MBA MIM |
Publisher | : |
Total Pages | : 223 |
Release | : 2017-06-10 |
Genre | : |
ISBN | : 9781521476697 |
Download Automated Valuation Modeling (AVM) - a Fully Explained and Illustrated Guide Book in PDF, ePub and Kindle
This book is 100% hands-on with step-by-step explanations and illustrations. Each modeling step - from sales sampling to time adjustment to multi-collinearity to linear and non-linear regression to residuals and outliers analyses to model application - has been thoroughly illustrated with over 100 interactive modeling charts, tables, multiple regression outputs, spatial graphs, data samples, programming inserts and more. And, readers can easily duplicate the steps in any statistical software or in Excel (Data Analysis).
Author | : Sid Som |
Publisher | : |
Total Pages | : 178 |
Release | : 2019-08-30 |
Genre | : |
ISBN | : 9781689442824 |
Download Automated Valuation Modeling (AVM) - a Fully Explained and Illustrated Guide Book in PDF, ePub and Kindle
This book is 100% hands-on with step-by-step explanations and illustrations. Each modeling step - from sales sampling to time adjustments to multi-collinearity to linear and non-linear regression to residual and outlier analyses to model application - has been thoroughly illustrated with over 100 interactive modeling charts, tables, multiple regression outputs, spatial graphs, data samples, programming logic and more. And, readers can easily duplicate the steps in any statistical software or in Excel (Data Analysis).
Author | : Maurizio d'Amato |
Publisher | : Springer |
Total Pages | : 435 |
Release | : 2017-01-28 |
Genre | : Technology & Engineering |
ISBN | : 3319497464 |
Download Advances in Automated Valuation Modeling Book in PDF, ePub and Kindle
This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.
Author | : Keith A. Allman |
Publisher | : John Wiley & Sons |
Total Pages | : 389 |
Release | : 2010-01-21 |
Genre | : Business & Economics |
ISBN | : 0470579374 |
Download Corporate Valuation Modeling Book in PDF, ePub and Kindle
A critical guide to corporate valuation modeling Valuation is at the heart of everything that Wall Street does. Every day, millions of transactions to purchase or sell companies take place based on prices created by the activities of all market participants. In this book, author Keith Allman provides you with a core model to value companies. Corporate Valuation Modeling takes you step-by-step through the process of creating a powerful corporate valuation model. Each chapter skillfully discusses the theory of the concept, followed by Model Builder instructions that inform you of every step necessary to create the template model. Many chapters also include a validation section that shows techniques and implementations that you can employ to make sure the model is working properly. Walks you through the full process of constructing a fully dynamic corporate valuation model A Tool Box section at the end of each chapter assists readers who may be less skilled in Excel techniques and functions Complete with a companion CD-ROM that contains constructed models, this book is an essential guide to understanding the intricacies of corporate valuation modeling. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author | : Sid Som MBA MIM |
Publisher | : |
Total Pages | : 89 |
Release | : 2016-12-10 |
Genre | : |
ISBN | : 9781520121079 |
Download Alternate Applications of Automated Valuation Models (AVM) Book in PDF, ePub and Kindle
This book will teach the readers the wide-ranging alternate applications of AVMs outside of residential modeling - from the universe of Commercial modeling to REO and Foreclosure modeling to MLS-based data modeling to Stress Testing Mortgage or Assessment Portfolios using Challenger AVMs, etc. Also included are many sought-after topics like Excel-based modeling, Forward Sales Sampling to minimize sales chasing, and the proper process to Evaluate a Vendor or Vet a Consultant.
Author | : Keith A. Allman |
Publisher | : John Wiley & Sons |
Total Pages | : 220 |
Release | : 2011-09-02 |
Genre | : Business & Economics |
ISBN | : 1118137221 |
Download Financial Simulation Modeling in Excel Book in PDF, ePub and Kindle
"I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.
Author | : James A. Kirchmeyer |
Publisher | : |
Total Pages | : 38 |
Release | : 2004 |
Genre | : Capital investments |
ISBN | : 9780731522293 |
Download A Guide to Automated Valuation Models AVMs Book in PDF, ePub and Kindle
Author | : Tien Foo Sing |
Publisher | : |
Total Pages | : 37 |
Release | : 2020 |
Genre | : |
ISBN | : |
Download Decision Tree and Boosting Techniques in Artificial Intelligence Based Automated Valuation Models (AI-AVM). Book in PDF, ePub and Kindle
This paper develops an artificial intelligence-based automated valuation model (AI-AVM) using the decision tree and the boosting techniques to predict residential property prices in Singapore. We use more than 300,000 property transaction data from Singapore's private residential property market for the period from 1995 to 2017 for the training of the AI-AVM models. The two tree-based AI-AVM models show superior performance over the traditional multiple regression analysis (MRA) model when predicting the property prices. We also extend the application of the AI-AVM to more homogenous public housing prices in Singapore, and the predictive performance remains robust. The boosting AI-AVM models that allow for inter-dependence structure in the decision trees is the best model that explains more than 88% of the variance in both private and public housing prices and keep the prediction errors to less than 6% for HDB and 9% for the private market. When subject the AI-AVM to the out-of-sample forecasting using the 2017-2019 testing property sale samples, the prediction errors remain within a narrow range of between 5% and 9%.