Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic
As the COVID-19 pandemic came unexpectedly, many real estate experts claimed that the
property values would fall like the 2007 crash. However, this study raises the question of …
property values would fall like the 2007 crash. However, this study raises the question of …
House price, loan-to-value ratio and credit risk
Real estate transactions are often established through financing. We study the effect of
financing on property prices. We show that properties can transact at prices well above their …
financing on property prices. We show that properties can transact at prices well above their …
The Evolution of Hedonic Pricing Models
This study extends the work by Sirmans et al. by providing a review of the hedonic pricing
model literature published in real estate journals from 2005 through 2021. A total of 252 …
model literature published in real estate journals from 2005 through 2021. A total of 252 …
Competing selling strategies in the housing market
Due to the heterogeneous nature of real estate assets, housing market is characterized by a
sequential search and seller's optimal strategies. This paper provides a side-by-side …
sequential search and seller's optimal strategies. This paper provides a side-by-side …
Differential selling strategies between investors and consumers: evidence from the Chinese housing market
KK Deng, J Chen, Z Lin, X Yang - Journal of Real Estate Research, 2022 - Taylor & Francis
We investigated how real estate selling behaviors and transaction outcomes vary with
sellers' motivations. By exploring a unique dataset of residential sales in Beijing, China, we …
sellers' motivations. By exploring a unique dataset of residential sales in Beijing, China, we …
Why do buyers pay different prices for comparable products? A structural approach on the housing market
RB Siebert, MJ Seiler - The Journal of Real Estate Finance and Economics, 2022 - Springer
We focus on the housing market and examine why nonlocal home buyers pay 12% more for
houses than local home buyers. We established a database on the residential housing …
houses than local home buyers. We established a database on the residential housing …
House Price Capitalization of Stormwater Retention Basins: Evidence from Fresno-Clovis Metropolitan Area in California
We extend the literature on the impact of stormwater retention basins on house prices and
time on the market. Our results indicate that properties located closer to a basin sell at a …
time on the market. Our results indicate that properties located closer to a basin sell at a …
Do energy performance certificates influence time on market? An exploratory research of the residential housing market in Flanders
A Gerassimenko, L De Moor, L Defau - International Journal of …, 2024 - emerald.com
Purpose Literature has already analysed the relation between a property's time on market
(TOM) and other housing characteristics, but few to none include the property's energy …
(TOM) and other housing characteristics, but few to none include the property's energy …
Optimal Real Estate Pricing and Offer Acceptance Strategy
E Khmelnitsky, G Singer - IEEE Access, 2023 - ieeexplore.ieee.org
We consider the problem of choosing the best of a set of sequential offers proposed by the
market in a house-selling process. During each decision epoch, the seller sets a listing …
market in a house-selling process. During each decision epoch, the seller sets a listing …
Pricing strategies in the Silicon Valley housing market: an update on TOM and recent events
WH Cheng, SC Chiu, CY Yen, FC Yeh - International Journal of …, 2024 - emerald.com
Purpose This study aims to explore the relationship between house prices and time-on-
market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations …
market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations …