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Related papers: Real estate price peaks: a comparative overview

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In this study interest centers on regional differences in the response of housing prices to monetary policy shocks in the US. We address this issue by analyzing monthly home price data for metropolitan regions using a factor-augmented…

As baby boomers have begun to downsize and retire, their preferences now overlap with millennials' predilection for urban amenities and smaller living spaces. This confluence in tastes between the two largest age segments of the U.S.…

General Economics · Economics 2021-08-31 Marijn A. Bolhuis , Judd N. L. Cramer

The real estate market is exposed to many fluctuations in prices because of existing correlations with many variables, some of which cannot be controlled or might even be unknown. Housing prices can increase rapidly (or in some cases, also…

Housing markets play a crucial role in economies and the collapse of a real-estate bubble usually destabilizes the financial system and causes economic recessions. We investigate the systemic risk and spatiotemporal dynamics of the US…

Statistical Finance · Quantitative Finance 2013-12-31 Hao Meng , Wen-Jie Xie , Zhi-Qiang Jiang , Boris Podobnik , Wei-Xing Zhou , H. Eugene Stanley

Since ancient times, what Chinese people have been pursuing is very simple, which is nothing more than "to live and work happily, to eat and dress comfortable". Today, more than 40 years after the reform and opening, people have basically…

Machine Learning · Computer Science 2022-04-21 Yuying Wu , Youshan Zhang

Both buyers and sellers face uncertainty in real estate transactions in about when to time a transaction and at what cost. Both buyers and sellers make decisions without knowing the present and future state of the large and dynamic real…

Applications · Statistics 2022-01-12 Yuanyuan Zha , Susan T. Parker , James J. Foster , Vadim Sokolov

Seasonality has traditionally shaped the U.S. housing market, with activity peaking in spring-summer and declining in autumn-winter. However, recent disruptions, particularly post-COVID-19, raise questions about shift in these patterns.…

General Economics · Economics 2025-11-25 Yihan Hu , Yifei Huang , Weizhao Wang

We propose a sequential monitoring scheme to find structural breaks in real estate markets. The changes in the real estate prices are modeled by a combination of linear and autoregressive terms. The monitoring scheme is based on a detector…

Econometrics · Economics 2020-02-12 Lajos Horváth , Zhenya Liu , Shanglin Lu

Urban scaling laws summarize how urban attributes evolve with city size. Recent criticism questions notably the aggregate view of this approach, which leads to neglecting the internal structure of cities. This is all the more relevant for…

Physics and Society · Physics 2024-05-24 Gaëtan Laziou , Rémi Lemoy , Marion Le Texier

Applicability of the concept of financial log-periodicity is discussed and encouragingly verified for various phases of the world stock markets development in the period 2000-2010. In particular, a speculative forecasting scenario designed…

Statistical Finance · Quantitative Finance 2008-12-02 Stanislaw Drozdz , Jaroslaw Kwapien , Pawel Oswiecimka , Josef Speth

This article identifies the factors that drove house prices in 13 advanced countries over the past 35 years. It does so based on Breiman s (2001) random forest model. Shapley values indicate that annual house price growth across countries…

General Economics · Economics 2026-02-10 Emanuel Kohlscheen

Public availability of Artificial Intelligence generated information can change the markets forever, and its factoring into economical dynamics may take economists by surprise, out-dating models and schools of thought. Real estate…

General Economics · Economics 2024-05-30 Viorel Silaghi , Zobaida Alssadi , Ben Mathew , Majed Alotaibi , Ali Alqarni , Marius Silaghi

We represent the functioning of the housing market and study the relation between income segregation, income inequality and house prices by introducing a spatial Agent-Based Model (ABM). Differently from traditional models in urban…

Economics · Quantitative Finance 2018-10-23 Marco Pangallo , Jean Pierre Nadal , Annick Vignes

In this paper, we investigate the impact of mortgage rates on home prices, and how the impact may be used to help property purchase discussions at individual buyer level and to adjust home price indices across time. A mortgage-rate-adjusted…

General Finance · Quantitative Finance 2022-07-08 Honggao Cao

In many U.S. central cities, property values are relatively low, while rents are closer to those in better-off neighborhoods. This gap can lead to relatively large profits for landlords, and has been referred to as "exploitaton" for…

General Economics · Economics 2021-07-13 Scott W. Hegerty

In this paper house prices in Christchurch are analyzed over three distinct periods of time: post-2011 earthquake, pre-COVID-19 lockdown, and post-COVID-19 lockdown using the well-established hedonic price model. Results show that buyers,…

General Finance · Quantitative Finance 2023-07-26 Emil Mendoza , Fabian Dunker , Marco Reale

In the face of a pandemic, urban protests, and an affordability crisis, is the desirability of dense urban settings at a turning point? Assessing cities' long term trends remains challenging. The first part of this chapter describes the…

General Economics · Economics 2020-10-12 Amine Ouazad

Real estate appraisal, which is the process of estimating the price for real estate properties, is crucial for both buys and sellers as the basis for negotiation and transaction. Traditionally, the repeat sales model has been widely adopted…

Computer Vision and Pattern Recognition · Computer Science 2017-07-31 Quanzeng You , Ran Pang , Liangliang Cao , Jiebo Luo

The upsurge of real estate involves a variety of factors that have got influenced by many domains. Indeed, the unrecognized sector that would affect the economy for which regulatory proposals are being drafted to keep this in control is the…

Real estate contributes significantly to all major economies around the world. In particular, house prices have a direct impact on stakeholders, ranging from house buyers to financing companies. Thus, a plethora of techniques have been…

Machine Learning · Computer Science 2020-09-02 Sarkar Snigdha Sarathi Das , Mohammed Eunus Ali , Yuan-Fang Li , Yong-Bin Kang , Timos Sellis