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International money supply and real estate risk premium: The case of the London office market

机译:国际货币供应量和房地产风险溢价:伦敦办公楼市场的情况

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The main purpose of this study is to deeply investigate the determinants of the risk premium for the Central London market between Q2-2002 and Q3-2015 using a vector autoregression (VAR) model. We shed new light on the role of central banks in the historical level of the commercial real estate risk premium. Indeed, since the global financial crisis (GFC), central banks have used unconventional monetary policies, increasing the quantity of money available in the economy and creating structural changes. Therefore, we have described the link between monetary policies and real estate using a theoretical IS/LM Mundell-Fleming framework for a small open economy with a flexible exchange rate. To empirically explore this phenomenon, we have constructed a monetary index adapted to the office market. We find that throughout the whole period (2002-2015), the vacancy rate, the employment in services, the FTSE 100, the new monetary index and the autoregressive parameter are the main determinants of the historical risk premium. However, this result hides the complex realities of different sub-periods. Finally, we study the structural changes introduced by the monetary policy using a structural VAR model and impulse-response function. (C) 2018 Elsevier Ltd. All rights reserved.
机译:这项研究的主要目的是使用向量自回归(VAR)模型深入研究2002年第二季度至2015年第三季度之间伦敦市中心市场风险溢价的决定因素。我们阐明了中央银行在商业房地产风险溢价的历史水平中的作用。确实,自全球金融危机(GFC)以来,中央银行一直在使用非常规货币政策,从而增加了经济中可用的货币数量并造成了结构性变化。因此,我们使用理论上的IS / LM Mundell-Fleming框架(适用于具有灵活汇率的小型开放经济)描述了货币政策与房地产之间的联系。为了从经验上探讨这种现象,我们构建了适合办公市场的货币指数。我们发现,在整个时期(2002年至2015年)中,空缺率,服务业就业,富时100,新货币指数和自回归参数是历史风险溢价的主要决定因素。但是,此结果隐藏了不同子时期的复杂现实。最后,我们使用结构VAR模型和冲激响应函数研究货币政策引入的结构性变化。 (C)2018 Elsevier Ltd.保留所有权利。

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