Internet Searches, Household Sentiment, and Credit Spreads

H. Byström
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Abstract

We use Google internet search volumes to measure households’ pessimism about overall market-wide credit health in the economy and show that this “household default sentiment” is positively correlated with the credit default swap (CDS) spread level in the market. However, while household default sentiment might drive the cost of credit to some degree, either directly or indirectly through its effect on the stock market, we find the stock market’s opinion about the credit risk in the economy (default probabilities backed out from structural models) to be much more important in explaining credit spreads. The rather weak link between household sentiment and CDS spreads, meanwhile, is consistent with the almost complete absence of retail investors (households) in the institutional investor-dominated credit derivatives market. The results are essentially the same, whether we look at market-wide CDS indexes or single-name CDS contracts, and whether we exclude the financial crisis or not.
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互联网搜索、家庭情绪和信用利差
我们使用谷歌互联网搜索量来衡量家庭对整个市场经济中信贷健康状况的悲观情绪,并表明这种“家庭违约情绪”与市场中的信用违约互换(CDS)利差水平呈正相关。然而,尽管家庭违约情绪可能在一定程度上通过其对股市的影响直接或间接地推动信贷成本,但我们发现股市对经济中信贷风险的看法(从结构模型中退出的违约概率)在解释信贷利差时要重要得多。与此同时,家庭情绪和CDS利差之间的联系相当薄弱,这与机构投资者主导的信贷衍生品市场中几乎完全没有散户投资者(家庭)是一致的。无论我们看整个市场的CDS指数还是单一名称的CDS合约,无论我们是否排除金融危机,结果基本上都是一样的。
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来源期刊
Journal of Fixed Income
Journal of Fixed Income Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.10
自引率
0.00%
发文量
23
期刊介绍: The Journal of Fixed Income (JFI) provides sophisticated analytical research and case studies on bond instruments of all types – investment grade, high-yield, municipals, ABSs and MBSs, and structured products like CDOs and credit derivatives. Industry experts offer detailed models and analysis on fixed income structuring, performance tracking, and risk management. JFI keeps you on the front line of fixed income practices by: •Staying current on the cutting edge of fixed income markets •Managing your bond portfolios more efficiently •Evaluating interest rate strategies and manage interest rate risk •Gaining insights into the risk profile of structured products.
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