Housing Boom and Headline Inflation: Insights from Machine Learning
Housing Boom and Headline Inflation: Insights from Machine Learning

Author: Yang Liu

Publisher: International Monetary Fund

Published: 2022-07-28

Total Pages: 45

ISBN-13:

DOWNLOAD EBOOK

Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-rising house prices. We then apply machine learning methods to forecast inflation in two housing components (rent and owner-occupied housing cost) of the headline inflation and draw tentative inferences about inflationary impact. Our results suggest that for most of these countries, the housing components could have a relatively large and sustained contribution to headline inflation, as inflation is just starting to reflect the higher house prices. Methodologically, for the vast majority of countries we analyze, machine-learning models outperform the VAR model, suggesting some potential value for incorporating such models into inflation forecasting.

The Pricing-Out Phenomenon in the U.S. Housing Market
The Pricing-Out Phenomenon in the U.S. Housing Market

Author: Francesco Beraldi

Publisher: International Monetary Fund

Published: 2023-01-06

Total Pages: 47

ISBN-13:

DOWNLOAD EBOOK

The COVID-19 pandemic further extended the multi-year housing boom in advanced economies and emerging markets alike against massive monetary easing during the pandemic. In this paper, we analyze the pricing-out phenomenon in the U.S. residential housing market due to higher house prices associated with monetary easing. We first set up a stylized general equilibrium model and show that although monetary easing decreases the mortgage payment burden, it would raise house prices, lower housing affordability for first-time homebuyers, and increase housing wealth inequality between first-time and repeat homebuyers. We then use the U.S. household-level data to quantify the effect of the house price change on housing affordability relative to that of the interest rate change. We find evidence of the pricing-out effect for all homebuyers; moreover, we find that the pricing-out effect is stronger for first-time homebuyers than for repeat homebuyers. The paper highlights the importance of accounting for general equilibrium effects and distributional implications of monetary policy while assessing housing affordability. It also calls for complementing monetary easing with well-targeted policy measures that can boost housing affordability, particularly for first-time and lower-income households. Such measures are also needed during aggressive monetary tightening, given that the fall in house prices may be insufficient or too slow to fully offset the immediate adverse impact of higher rates on housing affordability.

Global Waves of Debt
Global Waves of Debt

Author: M. Ayhan Kose

Publisher: World Bank Publications

Published: 2021-03-03

Total Pages: 403

ISBN-13: 1464815453

DOWNLOAD EBOOK

The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.

FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk

Author: Majid Bazarbash

Publisher: International Monetary Fund

Published: 2019-05-17

Total Pages: 34

ISBN-13: 1498314422

DOWNLOAD EBOOK

Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.

How I Became a Quant
How I Became a Quant

Author: Richard R. Lindsey

Publisher: John Wiley & Sons

Published: 2011-01-11

Total Pages: 406

ISBN-13: 1118044754

DOWNLOAD EBOOK

Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.

Consumer Price Index Manual, 2020
Consumer Price Index Manual, 2020

Author: Brian Graf

Publisher: INTERNATIONAL MONETARY FUND

Published: 2020-11-19

Total Pages: 509

ISBN-13: 9781484354841

DOWNLOAD EBOOK

The Consumer Price Index Manual: Concepts and Methods contains comprehensive information and explanations on compiling a consumer price index (CPI). The Manual provides an overview of the methods and practices national statistical offices (NSOs) should consider when making decisions on how to deal with the various problems in the compilation of a CPI. The chapters cover many topics. They elaborate on the different practices currently in use, propose alternatives whenever possible, and discuss the advantages and disadvantages of each alternative. The primary purpose of the Manual is to assist countries in producing CPIs that reflect internationally recommended methods and practices.

Fiscal Policy and Long-Term Growth
Fiscal Policy and Long-Term Growth

Author: International Monetary Fund

Publisher: International Monetary Fund

Published: 2015-04-20

Total Pages: 257

ISBN-13: 1498344658

DOWNLOAD EBOOK

This paper explores how fiscal policy can affect medium- to long-term growth. It identifies the main channels through which fiscal policy can influence growth and distills practical lessons for policymakers. The particular mix of policy measures, however, will depend on country-specific conditions, capacities, and preferences. The paper draws on the Fund’s extensive technical assistance on fiscal reforms as well as several analytical studies, including a novel approach for country studies, a statistical analysis of growth accelerations following fiscal reforms, and simulations of an endogenous growth model.

Consumer Price Index Manual
Consumer Price Index Manual

Author: International Labour Office

Publisher: International Labour Organization

Published: 2004-08-25

Total Pages: 578

ISBN-13: 9789221136996

DOWNLOAD EBOOK

The consumer price index (CPI) measures the rate at which prices of consumer goods and services change over time. It is used as a key indicator of economic performance, as well as in the setting of monetary and socio-economic policy such as indexation of wages and social security benefits, purchasing power parities and inflation measures. This manual contains methodological guidelines for statistical offices and other agencies responsible for constructing and calculating CPIs, and also examines underlying economic and statistical concepts involved. Topics covered include: expenditure weights, sampling, price collection, quality adjustment, sampling, price indices calculations, errors and bias, organisation and management, dissemination, index number theory, durables and user costs.

Urban Planning and the Housing Market
Urban Planning and the Housing Market

Author: Nicole Gurran

Publisher: Springer

Published: 2017-05-31

Total Pages: 449

ISBN-13: 1137464038

DOWNLOAD EBOOK

This book re-examines the role of urban policy and planning in relation to the housing market in an era of global uncertainty and change. The relationship between planning and the housing market is a contested problem across research, policy, and practice. Problems with housing supply and affordability in many nations have been linked to planning system constraints, while the global financial crisis has raised new questions about the role of urban planning regulation and processes in responding to housing market trends. With reference to international cases from the United Kingdom, the United States, Ireland, Hong Kong and Australia, the book examines how different systems of urban planning and governance address complex and dynamic housing market trends. It also offers practical guidance on how urban planning can support an efficient supply of appropriate and affordable homes in preferred locations. A detailed study, which explains and decodes the workings of the planning system and housing market, this book will be of particular interest to scholars of human geography and urban planning, as well as housing policy makers and practitioners. To view Nicole Gurran’s related TEDx talk please visit: Housing Crisis? How about housing solutions. TEDx Sydney 2018 (http://bit.ly/2psfpMw)

Inflation-Forecast Targeting for India
Inflation-Forecast Targeting for India

Author: Mr.Jaromir Benes

Publisher: International Monetary Fund

Published: 2017-02-13

Total Pages: 37

ISBN-13: 1475578695

DOWNLOAD EBOOK

India formally adopted flexible inflation targeting (FIT) in June 2016 to place price stability, defined in terms of a target CPI inflation, as the primary objective of monetary policy. In this context, the paper draws on Indian macroeconomic developments since 2000 and the experience of other countries that adopted FIT to bring out insights on how credible policy with an emphasis on a strong nominal anchor can reduce the impact of supply shocks and improve macroeconomic stability. For illustrating the key issues given the unique structural characteristics of India and the policy options under an FIT framework, the paper describes an analytical framework using the core quarterly projection model (QPM). Simulations of the QPM are carried out to illustrate the monetary policy responses under different types of uncertainty and to bring out the importance of gaining credibility for improving monetary policy efficacy.