住房、石油、黄金和股票市场之间的关系:来自英国和挪威的证据

Z. G. Büyükkara, İsmail Cem Özgüler, Ali Hepşen
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引用次数: 0

摘要

本研究的目的是探索石油价格、英国和挪威房价之间的复杂关系,以及黄金和股票价格在短期和长期中的中介作用,通过采用实证方法揭示这些复杂的联系。设计/方法/方法本研究得益于一套全面的计量经济学工具,包括多方程向量自回归(VAR)系统、格兰杰因果检验、脉冲响应函数、方差分解和单方程自回归分布滞后(ARDL)系统。这种严格的方法能够识别短期和长期动态,以揭示2005年第一季度至2022年第二季度期间英国和挪威布伦特原油价格、房价、黄金价格和股票价格之间的复杂联系。研究结果表明,油价上涨对房价产生负面影响,而股市表现对房价的积极影响更为明显。两国股市指数与房价之间存在双向因果关系,而原油价格与房价之间存在单向因果关系。VAR模型显示,各国过去的房价、股市指数和布伦特原油价格是当前房价的主要决定因素。房价的单方程ARDL结果表明房地产与股票价格之间存在长期协整关系。方差分解分析表明,油价对房价的影响比股价更显著。研究结果表明,股票市场的冲击对房地产市场价格的影响大于石油或黄金价格的冲击。因此,房价对一般金融市场指标的反应比对商品价格的反应更强烈。研究的局限性/意义本研究可能有几个局限性。首先,该模型不包括所有相关的宏观经济变量,如利率、失业率和国内生产总值(gdp)增长。这种遗漏可能会影响模型预测的准确性,导致房地产市场效率低下。其次,本研究没有考虑对市场效率低下的其他解释,如行为金融因素、信息不对称或市场微观结构效应。第三,这些模型在揭示预测者如何应对正面和负面冲击方面存在局限性。因此,本研究结果应谨慎解读。这些发现对于制定旨在稳定这两个石油生产国住房市场的动态政策具有重要意义。这项研究的实际意义延伸到学者、投资者和政策制定者,特别是考虑到住房和商品市场的波动性。研究结果显示,与石油或黄金价格相比,股票市场的冲击对房地产市场价格的影响更为深远。因此,房价对一般金融市场指标的反应比对商品价格的反应更强烈。这些发现也可以为未来的研究工作提供有价值的见解,旨在构建将房地产市场动态与宏观经济指标联系起来的模型。原创性/价值本文采用多种计量经济学方法,对2005年第一季度至2022年第二季度英国和挪威的欧元房地产价格、股票价格、黄金价格和石油价格之间的复杂关系进行了创新的实证分析。在现有关于住房市场价格决定因素的文献基础上,本研究深入研究了黄金和石油价格的作用,考虑到它们对工业生产和整体经济增长的影响。本文为有效管理石油价格冲击对房地产市场的影响提供了有价值的政策见解。
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Relationship between housing, oil, gold and stock markets: evidence from UK and Norway
Purpose The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both the short- and long-term, unraveling these complex linkages by employing an empirical approach. Design/methodology/approach This study benefits from a comprehensive set of econometric tools, including a multiequation vector autoregressive (VAR) system, Granger causality test, impulse response function, variance decomposition and a single-equation autoregressive distributed lag (ARDL) system. This rigorous approach enables to identify both short- and long-run dynamics to unravel the intricate linkages between Brent oil prices, housing prices, gold prices and stock prices in the UK and Norway over the period from 2005:Q1 to 2022:Q2. Findings The findings indicate that rising oil prices negatively impact house prices, whereas the positive influence of stock market performance on housing is more pronounced. A two-way causal relationship exists between stock market indices and house prices, whereas a one-way causal relationship exists from crude oil prices to house prices in both countries. The VAR model reveals that past housing prices, stock market indices in each country and Brent oil prices are the primary determinants of current housing prices. The single-equation ARDL results for housing prices demonstrate the existence of a long-run cointegrating relationship between real estate and stock prices. The variance decomposition analysis indicates that oil prices have a more pronounced impact on housing prices compared with stock prices. The findings reveal that shocks in stock markets have a greater influence on housing market prices than those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices. Research limitations/implications This study may have several limitations. First, the model does not include all relevant macroeconomic variables, such as interest rates, unemployment rates and gross domestic product growth. This omission may affect the accuracy of the model’s predictions and lead to inefficiencies in the real estate market. Second, this study does not consider alternative explanations for market inefficiencies, such as behavioral finance factors, information asymmetry or market microstructure effects. Third, the models have limitations in revealing how predictors react to positive and negative shocks. Therefore, the results of this study should be interpreted with caution. Practical implications These findings hold significant implications for formulating dynamic policies aimed at stabilizing the housing markets of these two oil-producing nations. The practical implications of this study extend to academics, investors and policymakers, particularly in light of the volatility characterizing both housing and commodity markets. The findings reveal that shocks in stock markets have a more profound impact on housing market prices compared with those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices. Social implications These findings could also serve as valuable insights for future research endeavors aimed at constructing models that link real estate market dynamics to macroeconomic indicators. Originality/value Using a variety of econometric approaches, this paper presents an innovative empirical analysis of the intricate relationship between euro property prices, stock prices, gold prices and oil prices in the UK and Norway from 2005:Q1 to 2022:Q2. Expanding upon the existing literature on housing market price determinants, this study delves into the role of gold and oil prices, considering their impact on industrial production and overall economic growth. This paper provides valuable policy insights for effectively managing the impact of oil price shocks on the housing market.
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来源期刊
CiteScore
2.80
自引率
29.40%
发文量
68
期刊最新文献
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