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Extreme returns and value at risk in international securitized real estate markets

机译:国际证券化房地产市场的极高回报和风险价值

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Purpose - The purpose of this paper is to investigate and compare the extreme behavior of securitized real estate and stock market returns as well as their value-at-risk (VaR) dynamics in international investing. Extreme value theory using the block maxima method is applied to ten securitized real estate and equity market indices representing Asian, European and North American markets. Design/methodology/approach - The paper models the maxima and minima of all return series within the extreme value theory (EVT) framework and derive the VaR estimates. It then compares the VaR estimates derived from the EVT and the normal distribution and investigates the impact of clustered returns on the VaR estimates. Finally, both the conventional standard deviation measure and VaR method are conducted to evaluate and compare the impact of the Asian financial turmoil on the real estate and stock market risk profiles. Findings - Evidence shows that Asian real estate and equity maxima and minima return series are characterized by a fat-tailed Frechet distribution. The frequency and severity of extreme Asian real estate returns are greater than their European and North American counterparts. Securitized real estate markets are riskier than the broader stock markets before and during the Asian financial turmoil. In contrast, many stock markets become riskier after the financial crisis with their VaRs higher than the equivalent VaR estimates for the real estate series. Research limitations/implications - Knowledge about real estate market returns exhibit extreme behavior can help investors and fund managers understand the distribution of real estate market returns better and obtain potentially more accurate real estate return forecasts. Practical implications - International real estate portfolio risk management should include both extreme risks and standard deviations. Accordingly, global investors should be even more cautious in formulating their diversification strategies since gains from diversification can be reduced significantly by the severity of extreme return levels. Originality/value - The paper characterizes the distribution of extreme returns for a broad spectrum of international securitized real estate markets from three continents. The extreme value investigation is also conducted for broader stock markets corresponding to the individual real estate markets. The July 1997 turmoil that occurred in Asian financial markets provides interesting exploratory opportunities within which this paper estimates and compares the extreme market risk with the conventional standard deviation measure.
机译:目的-本文的目的是调查和比较证券化房地产和股票市场收益的极端行为,以及它们在国际投资中的风险价值(VaR)动态。使用最大分块法的极值理论被应用于代表亚洲,欧洲和北美市场的十种证券化房地产和股票市场指数。设计/方法/方法-本文在极值理论(EVT)框架内对所有收益序列的最大值和最小值进行建模,并得出VaR估计值。然后,它将从EVT和正态分布得出的VaR估计值进行比较,并调查汇总收益对VaR估计值的影响。最后,使用常规的标准差测量和VaR方法来评估和比较亚洲金融风暴对房地产和股市风险状况的影响。调查结果-证据表明,亚洲房地产和股票的最高收益和最低收益序列的特征是富尾弗雷谢分布。亚洲房地产极端回报的频率和严重性要高于欧洲和北美同类国家。在亚洲金融动荡之前和期间,证券化房地产市场的风险要高于整体股市。相反,许多股票市场在金融危机之后变得风险更大,其VaR高于房地产系列的等效VaR估计值。研究局限/含意-有关房地产市场收益的知识表现出极端行为,可以帮助投资者和基金经理更好地了解房地产市场收益的分布,并获得可能更准确的房地产收益预测。实际意义-国际房地产投资组合风险管理应同时包括极端风险和标准差。因此,全球投资者在制定多元化战略时应更加谨慎,因为极端收益水平的严重性会大大降低多元化带来的收益。原创性/价值-本文描述了来自三大洲的广泛国际证券化房地产市场的极端收益分布。还针对与各个房地产市场相对应的更广泛的股票市场进行了极值调查。 1997年7月发生在亚洲金融市场中的动荡提供了有趣的探索机会,在本文中,本文估算并比较了传统标准偏差测度的极端市场风险。

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