Multi-scale Validation of an Agent-Based Housing Market Model

2020 ◽  
pp. 135-140
Author(s):  
Koen de Koning ◽  
Tatiana Filatova
Keyword(s):  
Housing Market ◽  
Scale Validation ◽  
Market Model ◽  
Agent Based ◽  
Multi Scale

scholarly journals Speculative housing markets and rent control: insights from nonlinear economic dynamics

2021 ◽  
Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff
Keyword(s):  
Housing Market ◽  
Housing Stock ◽  
House Price ◽  
Housing Markets ◽  
Market Model ◽  
Market Dynamics ◽  
Rent Control ◽  
Forecasting Accuracy ◽  
Expectation Formation ◽  
Rent Level

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.

Simulating multi-scale movement decision-making and learning in a large carnivore using agent-based modelling

2021 ◽  
Vol 452 ◽  
pp. 109568
Author(s):  
Alejandra Zubiria Perez ◽  
Christopher Bone ◽  
Gordon Stenhouse
Keyword(s):  
Decision Making ◽  
Agent Based ◽  
Large Carnivore ◽  
Agent Based Modelling ◽  
Multi Scale

Theory, Data, and Methods

2019 ◽  
pp. 156-202
Author(s):  
Eda Ustaoglu ◽  
Arif Çagdaş Aydinoglu
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Information System ◽  
Land Use Change ◽  
Model Development ◽  
Agent Based ◽  
Change Models ◽  
Multi Scale ◽  
Land Use Dynamics ◽  
Scale Characteristics

Land-use change models are tools to support analyses, assessments, and policy decisions concerning the causes and consequences of land-use dynamics, by providing a framework for the analysis of land-use change processes and making projections for the future land-use/cover patterns. There is a variety of modelling approaches that were developed from different disciplinary backgrounds. Following the reviews in the literature, this chapter focuses on various modelling tools and practices that range from pattern-based methods such as machine learning and GIS (Geographic Information System)-based approaches, to process-based methods such as structural economic or agent-based models. For each of these methods, an overview is given for the advances that have been progressed by geographers, natural and economy scientists in developing these models of spatial land-use change. It is noted that further progress is needed in terms of model development, and integration of models operating at various scales that better address the multi-scale characteristics of the land-use system.

scholarly journals Correction to: Development and Multi-Scale Validation of a Finite Element Football Helmet Model

2019 ◽  
Vol 48 (2) ◽  
pp. 903-903 ◽  
Author(s):  
William B. Decker ◽  
Alex M. Baker ◽  
Xin Ye ◽  
Philip J. Brown ◽  
Joel D. Stitzel ◽  
...  
Keyword(s):  
Finite Element ◽  
Scale Validation ◽  
Multi Scale ◽  
Football Helmet

scholarly journals An Agent-Based Computational Model for China’s Stock Market and Stock Index Futures Market

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hai-Chuan Xu ◽  
Wei Zhang ◽  
Xiong Xiong ◽  
Wei-Xing Zhou
Keyword(s):  
Market Mechanism ◽  
Stock Index ◽  
Market Model ◽  
Stock Index Futures ◽  
Volatility Clustering ◽  
Agent Based ◽  
Index Futures ◽  
Bid Ask Spread ◽  
Trading Mechanism ◽  
Index Future

This study presents an agent-based computational cross market model for Chinese equity market structure, which includes both stocks and CSI 300 index futures. In this model, we design several stocks and one index future to simulate this structure. This model allows heterogeneous investors to make investment decisions with restrictions including wealth, market trading mechanism, and risk management. Investors’ demands and order submissions are endogenously determined. Our model successfully reproduces several key features of the Chinese financial markets including spot-futures basis distribution, bid-ask spread distribution, volatility clustering, and long memory in absolute returns. Our model can be applied in cross market risk control, market mechanism design, and arbitrage strategies analysis.

scholarly journals Securities Transaction Tax and Stock Market Behavior in an Agent-based Financial Market Model

2013 ◽  
Vol 18 ◽  
pp. 1764-1773 ◽  
Author(s):  
Hongquan Li ◽  
Mengyun Tang ◽  
Wei Shang ◽  
Shouyang Wang
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Market Model ◽  
Market Behavior ◽  
Agent Based ◽  
Securities Transaction Tax ◽  
Transaction Tax

Integrating the housing market into an agent-based economic model

2012 ◽  
pp. 65-76
Author(s):  
Einar Jón Erlingsson ◽  
Marco Raberto ◽  
Hlynur Stefánsson ◽  
Jón Thór Sturluson
Keyword(s):  
Housing Market ◽  
Economic Model ◽  
Agent Based
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