从意大利房地产市场评估金融稳定风险

Federica Ciocchetta, Wanda Cornacchia, Roberto Felici, M. Loberto
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引用次数: 2

摘要

我们为评估意大利房地产行业产生的金融稳定风险提供了一个分析框架。该框架由两个部分组成:三个互补的预警模型(ewm)和一套与房地产市场、信贷和家庭有关的广泛指标。我们分别关注家庭和从事房地产行业建设、管理和投资服务的公司。由于意大利没有发生与房地产相关的系统性银行危机,因此我们考虑一个连续指标作为脆弱性指标,该指标由与房地产部门相关的坏账年流量与银行资本和准备金之间的比率表示。我们通过实现基于具有连续脆弱性因变量的线性回归模型和具有脆弱性类别离散因变量的有序logit模型的贝叶斯模型平均(BMA),为EWMs的最新文献做出贡献。两种模型都表现出良好的预测能力。根据BMA对2015年第三季度至2016年第二季度的预测,与房地产行业相关的银行脆弱性预计将逐步下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Financial Stability Risks from the Real Estate Market in Italy
We provide an analytical framework for assessing financial stability risks arising from the real estate sector in Italy. This framework consists of two blocks: three complementary early warning models (EWMs) and a broad set of indicators related to the real estate market, to credit and to households. We focus separately on households and on firms engaged in construction, management and investment services in the real estate sector. Since in Italy there have been no real estate-related systemic banking crises, as vulnerability indicator we consider a continuous indicator represented by the ratio between the annual flow of bad debts related to the real estate sector and banks’ capital and reserves. We contribute to the recent literature on EWMs by implementing a Bayesian Model Averaging (BMA) based on linear regression models with a continuous dependent variable of vulnerability and an ordered logit model with a discrete dependent variable of vulnerability classes. Both models exhibit good predictive abilities. Based on the BMA projections for the period from the third quarter of 2015 to the second quarter of 2016, banking vulnerability related to the real estate sector is expected to gradually decline.
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