The impact of energy price fluctuation on the macro economy is a hot issue that is continuously concerned by the academic community, but few literature have paid attention to the impact of energy price fluctuation on housing price and the financial risks that may arise. Based on the data of...

Physical climate risks can have a large regional impact, which can influence mortgage loans' credit risk and should be priced by the lenders. Motivated by the relevance of climate change for financial intermediaries, our paper aims at analysing if physical climate risks are being reflected in...

This paper examines the relation between location, liquidity, and prices in urban housing markets. We build geospatial datasets for German and U.S. cities and show that housing liquidity and prices jointly decrease with distance to the city center. Using transaction-level data, we estimate a...

Due to the rapid growth of the Chinese housing market over the past ten years, forecasting home prices has become a crucial issue for investors and authorities alike. In this research, utilising Bayesian optimisations and cross validation, we investigate Gaussian process regressions across...

We use rich microdata from Denmark to study the effects of increased remote working on housing demand and property prices during the pandemic. We find that the rise in remote working exerted upward pressure on housing demand, and consequently, property prices. The analysis shows that people who...

Using a monthly panel dataset of individuals' debt, we show that house price changes can explain a significant fraction of personal debt composition dynamics. We exploit the variation in local house price growth as shocks to homeowners' housing wealth to study the consequential adjustment of...

In 2018, Minneapolis became the first U.S. city to eliminate single-family zoning through the Minneapolis 2040 Plan, with a central focus on improving housing affordability. Using a synthetic control approach, this paper finds that the reform reduced the growth of housing costs over the...

This paper empirically examines the causal effects of population concentration on household consumption in China and explores the underlying mechanisms. After addressing endogeneity concerns from various sources, our results show that a 1% increase in urban population density leads to a 0.43...

Housing and mortgage choices are among the largest financial decisions households make and they substantially impact households' liquidity. This paper explores how monetary policy affects aggregate demand by influencing these portfolio choices. To quantify this channel, I build a...

This study examines whether the COVID-19 pandemic led to lasting shifts in residential housing valuation in the UK, focusing on Greater London and seven major cities. The following questions are addressed: a) Was this change in residential valuations temporary, or is it likely to be permanent?...

Housing is one of the most important asset classes in developed economies, playing a central role in driving the credit cycle, the transmission of monetary policy, and overall economic activity. Our understanding of house price dynamics, particularly in the euro area, typically focusses on...

This paper provides the first study of climate risk pricing in euro area commercial real estate markets. We pay particular attention to changes in risk pricing over time, as a sudden market shift may significantly amplify the financial stability and macroeconomic implications of these risks. We...

We examine how exogenous changes in exposure to air pollution over the past two decades have altered the disparities in home values between Black and White homeowners. We find that air quality capitalization rates are significantly lower for Black homeowners. In fact, they are so much lower...

Housing prices have recently risen sharply in many countries, primarily linked to the global credit cycle. Although various factors play a role, the ability of developing countries to navigate this cycle and maintain autonomous monetary policies is crucial. This paper introduces a dynamic...

We examine how rising energy costs affect rental housing markets and inequality. Using listing data for the 30 largest German cities from 2015–2024, we find that higher energy prices are passed through to net rents in high-rent segments, where inefficient properties see significant rent...

Purpose - This study examines how GDP growth, interest rates, and unemployment rates influence residential real estate prices in politically and economically stable Eastern European countries, aiming to identify key drivers of property value changes in the region. Research methodology - The...

Is there a multicultural neighborhood price premium? We exploit plausibly exogenous variation in British colonization patterns in Northern Ireland during the early 1600s which created neighborhoods of varying religious composition that persists until today. These religious groups are culturally...

The European financial system faces significant risks from excessive bank lending to the real estate sector. Historical trends show a strong link between real estate credit booms and banking crises. Current data indicate that real estate loans constitute a substantial share of banks' corporate...

Using around 1 million repeat sales, we show idiosyncratic risk in real house price appreciation is time-varying, depends negatively on the initial house price, varies across locations, and decreases with the holding period. These systematic movements in idiosyncratic risk can be explained by...

Huge low-carbon investments are required to reach the goals of the Paris Agreement. However, one obstacle for these investments may be public opposition to the installment of low-carbon technology due to high perceived net costs. In this paper, we analyze the local net costs of both wind...

We introduce a novel, non-parametric approach for estimating house price indices that capture heterogeneous price developments independently of strict functional form assumptions. Utilizing the potential outcomes framework, our approach employs causal forests to effectively address changes in...

I show that house prices can be modeled using machine learning (kNN and tree-bagging) and a small dataset composed of macroeconomic factors (MEF), including an inflation metric (CPI), US Treasury rates (10-yr), Gross Domestic Product (GDP), and portfolio size of central banks (ECB, FED). This...