Author: United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Financial Institutions and Regulatory Relief
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 216
Book Description
Problems Surrounding the Mortgage Origination Process
Author: United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Financial Institutions and Regulatory Relief
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 216
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 216
Book Description
Problems Surrounding the Mortgage Origination Process
Author: Lauch Faircloth
Publisher: DIANE Publishing
ISBN: 0788186892
Category :
Languages : en
Pages : 215
Book Description
Senate hearings on the Federal laws regarding buying a house. Witnesses: Janice Hix, Nat. Assoc. of Mortgage Brokers; Ron McCord, Amer. Mortgage & Investment Co. for the Mortgage Bankers Assoc. of Amer.; Russell Booth, Nat. Assoc. of Realtors; Joseph Parker, Jr., Parker Title Insurance Agency, Inc., for the Amer. Land Title Assoc.; Margot Saunders, Nat. Consumer Law Center; Michelle Meier, Consumers Union; Laurence Meyer & Griffith Garwood, member, Board of Governors of the Fed. Reserve System, & Nicolas Retsinas, U.S. Dept. of Housing & Urban Development, accompanied by Sarah Rosen.
Publisher: DIANE Publishing
ISBN: 0788186892
Category :
Languages : en
Pages : 215
Book Description
Senate hearings on the Federal laws regarding buying a house. Witnesses: Janice Hix, Nat. Assoc. of Mortgage Brokers; Ron McCord, Amer. Mortgage & Investment Co. for the Mortgage Bankers Assoc. of Amer.; Russell Booth, Nat. Assoc. of Realtors; Joseph Parker, Jr., Parker Title Insurance Agency, Inc., for the Amer. Land Title Assoc.; Margot Saunders, Nat. Consumer Law Center; Michelle Meier, Consumers Union; Laurence Meyer & Griffith Garwood, member, Board of Governors of the Fed. Reserve System, & Nicolas Retsinas, U.S. Dept. of Housing & Urban Development, accompanied by Sarah Rosen.
FDIC Quarterly
Author:
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 38
Book Description
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 38
Book Description
Loan Officer Training
Author: Alex Johnson
Publisher: Lulu.com
ISBN: 0615177824
Category : Business & Economics
Languages : en
Pages : 188
Book Description
Thinking about a career as a residential mortgage loan officer? Our Manual provides loan officer training and mortgage broker training for individuals at every level of the mortgage industry-from basic training for those just starting out
Publisher: Lulu.com
ISBN: 0615177824
Category : Business & Economics
Languages : en
Pages : 188
Book Description
Thinking about a career as a residential mortgage loan officer? Our Manual provides loan officer training and mortgage broker training for individuals at every level of the mortgage industry-from basic training for those just starting out
Understanding the Securitization of Subprime Mortgage Credit
Author: Adam B. Ashcraft
Publisher: DIANE Publishing
ISBN: 1437925146
Category :
Languages : en
Pages : 76
Book Description
Provides an overview of the subprime mortgage securitization process and the seven key informational frictions that arise. Discusses the ways that market participants work to minimize these frictions and speculate on how this process broke down. Continues with a complete picture of the subprime borrower and the subprime loan, discussing both predatory borrowing and predatory lending. Presents the key structural features of a typical subprime securitization, documents how rating agencies assign credit ratings to mortgage-backed securities, and outlines how these agencies monitor the performance of mortgage pools over time. The authors draw upon the example of a mortgage pool securitized by New Century Financial during 2006. Illustrations.
Publisher: DIANE Publishing
ISBN: 1437925146
Category :
Languages : en
Pages : 76
Book Description
Provides an overview of the subprime mortgage securitization process and the seven key informational frictions that arise. Discusses the ways that market participants work to minimize these frictions and speculate on how this process broke down. Continues with a complete picture of the subprime borrower and the subprime loan, discussing both predatory borrowing and predatory lending. Presents the key structural features of a typical subprime securitization, documents how rating agencies assign credit ratings to mortgage-backed securities, and outlines how these agencies monitor the performance of mortgage pools over time. The authors draw upon the example of a mortgage pool securitized by New Century Financial during 2006. Illustrations.
Problems Surrounding the Mortgage Origination Process
Author: United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Financial Institutions and Regulatory Relief
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 254
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 254
Book Description
Introduction to Mortgages and Mortgage Backed Securities
Author: Richard K. Green
Publisher: Academic Press
ISBN: 0124045936
Category : Business & Economics
Languages : en
Pages : 249
Book Description
In Introduction to Mortgages & Mortgage Backed Securities, author Richard Green combines current practices in real estate capital markets with financial theory so readers can make intelligent business decisions. After a behavioral economics chapter on the nature of real estate decisions, he explores mortgage products, processes, derivatives, and international practices. By focusing on debt, his book presents a different view of the mortgage market than is commonly available, and his primer on fixed-income tools and concepts ensures that readers understand the rich content he covers. Including commercial and residential real estate, this book explains how the markets work, why they collapsed in 2008, and what countries are doing to protect themselves from future bubbles. Green's expertise illuminates both the fundamentals of mortgage analysis and the international paradigms of products, models, and regulatory environments. - Written for buyers of real estate, not mortgage lenders - Balances theory with increasingly complex practices of commercial and residential mortgage lending - Emphasizes international practices, changes caused by the 2008-11 financial crisis, and the behavioral aspects of mortgage decision making
Publisher: Academic Press
ISBN: 0124045936
Category : Business & Economics
Languages : en
Pages : 249
Book Description
In Introduction to Mortgages & Mortgage Backed Securities, author Richard Green combines current practices in real estate capital markets with financial theory so readers can make intelligent business decisions. After a behavioral economics chapter on the nature of real estate decisions, he explores mortgage products, processes, derivatives, and international practices. By focusing on debt, his book presents a different view of the mortgage market than is commonly available, and his primer on fixed-income tools and concepts ensures that readers understand the rich content he covers. Including commercial and residential real estate, this book explains how the markets work, why they collapsed in 2008, and what countries are doing to protect themselves from future bubbles. Green's expertise illuminates both the fundamentals of mortgage analysis and the international paradigms of products, models, and regulatory environments. - Written for buyers of real estate, not mortgage lenders - Balances theory with increasingly complex practices of commercial and residential mortgage lending - Emphasizes international practices, changes caused by the 2008-11 financial crisis, and the behavioral aspects of mortgage decision making
Machine Learning Algorithms
Author: Giuseppe Bonaccorso
Publisher: Packt Publishing Ltd
ISBN: 1785884514
Category : Computers
Languages : en
Pages : 352
Book Description
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn Acquaint yourself with important elements of Machine Learning Understand the feature selection and feature engineering process Assess performance and error trade-offs for Linear Regression Build a data model and understand how it works by using different types of algorithm Learn to tune the parameters of Support Vector machines Implement clusters to a dataset Explore the concept of Natural Processing Language and Recommendation Systems Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously. On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem. Style and approach An easy-to-follow, step-by-step guide that will help you get to grips with real -world applications of Algorithms for Machine Learning.
Publisher: Packt Publishing Ltd
ISBN: 1785884514
Category : Computers
Languages : en
Pages : 352
Book Description
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn Acquaint yourself with important elements of Machine Learning Understand the feature selection and feature engineering process Assess performance and error trade-offs for Linear Regression Build a data model and understand how it works by using different types of algorithm Learn to tune the parameters of Support Vector machines Implement clusters to a dataset Explore the concept of Natural Processing Language and Recommendation Systems Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously. On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem. Style and approach An easy-to-follow, step-by-step guide that will help you get to grips with real -world applications of Algorithms for Machine Learning.
HUD's Proposed Rule on the Real Estate Settlement Procedures Act
Author: United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
Book Description
When Bad Things Happen to Privileged People
Author: Dara Z. Strolovitch
Publisher: University of Chicago Press
ISBN: 022679881X
Category : Political Science
Languages : en
Pages : 421
Book Description
A deep and thought-provoking examination of crisis politics and their implications for power and marginalization in the United States. From the climate crisis to the opioid crisis to the Coronavirus crisis, the language of crisis is everywhere around us and ubiquitous in contemporary American politics and policymaking. But for every problem that political actors describe as a crisis, there are myriad other equally serious ones that are not described in this way. Why has the term crisis been associated with some problems but not others? What has crisis come to mean, and what work does it do? In When Bad Things Happen to Privileged People, Dara Z. Strolovitch brings a critical eye to the taken-for-granted political vernacular of crisis. Using systematic analyses to trace the evolution of the use of the term crisis by both political elites and outsiders, Strolovitch unpacks the idea of “crisis” in contemporary politics and demonstrates that crisis is itself an operation of politics. She shows that racial justice activists innovated the language of crisis in an effort to transform racism from something understood as natural and intractable and to cast it instead as a policy problem that could be remedied. Dominant political actors later seized on the language of crisis to compel the use of state power, but often in ways that compounded rather than alleviated inequality and injustice. In this eye-opening and important book, Strolovitch demonstrates that understanding crisis politics is key to understanding the politics of racial, gender, and class inequalities in the early twenty-first century.
Publisher: University of Chicago Press
ISBN: 022679881X
Category : Political Science
Languages : en
Pages : 421
Book Description
A deep and thought-provoking examination of crisis politics and their implications for power and marginalization in the United States. From the climate crisis to the opioid crisis to the Coronavirus crisis, the language of crisis is everywhere around us and ubiquitous in contemporary American politics and policymaking. But for every problem that political actors describe as a crisis, there are myriad other equally serious ones that are not described in this way. Why has the term crisis been associated with some problems but not others? What has crisis come to mean, and what work does it do? In When Bad Things Happen to Privileged People, Dara Z. Strolovitch brings a critical eye to the taken-for-granted political vernacular of crisis. Using systematic analyses to trace the evolution of the use of the term crisis by both political elites and outsiders, Strolovitch unpacks the idea of “crisis” in contemporary politics and demonstrates that crisis is itself an operation of politics. She shows that racial justice activists innovated the language of crisis in an effort to transform racism from something understood as natural and intractable and to cast it instead as a policy problem that could be remedied. Dominant political actors later seized on the language of crisis to compel the use of state power, but often in ways that compounded rather than alleviated inequality and injustice. In this eye-opening and important book, Strolovitch demonstrates that understanding crisis politics is key to understanding the politics of racial, gender, and class inequalities in the early twenty-first century.