A Rising Private Asset Class: Core+ Real Estate Debt

Michelle Teng, Wenbo Zhang, Jonathan Kohana
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Abstract

The Global Financial Crisis (GFC) disrupted the real estate (RE) debt market and triggered a retrenchment by traditional lenders such as commercial banks. Since then, this financing void has been filled by private fund vehicles – particularly within the core+ RE market – which has enabled growing institutional investor allocations to private RE debt. CIOs managing a multi-asset portfolio with allocations to both liquid and illiquid assets need to evaluate the cash flows from each asset class to better understand their portfolio’s liquidity risk. However, due to the specific cash flow pattern of core+ RE debt funds, and a lack of publicly available data, commonly used cash flow models for other private assets such as private equity (PE) are not suitable. We present a new cash flow model for private core+ RE debt funds. Our aim is to model a fund’s key cash flow dynamics using reasonable, practitioner supplied parameter estimates. As data become available, we expect to update the parameter values. The model incorporates sensitivity to the economic environment both at fund launch and over the fund’s life. This core+ RE debt cash flow model can be integrated into a multi-asset portfolio analytics tool such as the PGIM IAS asset allocation framework OASIS TM to help CIOs evaluate the diversification and liquidity management potential that private core+ RE debt may bring to their portfolios.
上升的私人资产类别:核心资产+房地产债务
全球金融危机(GFC)扰乱了房地产(RE)债务市场,并引发了商业银行等传统贷款机构的紧缩。自那以来,这一融资空白一直由私人基金工具填补——尤其是在核心+再融资市场——这使得机构投资者越来越多地将资金配置到私人再融资债务上。首席信息官管理一个多资产组合,同时分配流动性和非流动性资产,需要评估每个资产类别的现金流量,以更好地了解其投资组合的流动性风险。然而,由于核心+ RE债务基金的特定现金流模式,以及缺乏公开数据,通常用于私募股权(PE)等其他私募资产的现金流模型并不适用。我们提出了一个新的私人核心+可再生能源债务基金现金流模型。我们的目标是用合理的、从业者提供的参数估计来模拟基金的关键现金流动态。当数据可用时,我们期望更新参数值。该模型结合了基金发行时和整个基金生命周期对经济环境的敏感性。这种核心+可再生能源债务现金流模型可以集成到多资产组合分析工具中,如PGIM国际会计准则资产配置框架OASIS TM,以帮助首席信息官评估私人核心+可再生能源债务可能给其投资组合带来的多样化和流动性管理潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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